Research section assets... · Web viewEconomics Level 4. From the BAWE corpus . Created by Philip...
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Economics Level 4 word Frequency per million words Percentage of texts Percentage of subcorpora DP the 86498.13472 100 100 0.06786857 of 37282.48025 100 100 0.065876918 to 26067.6136 100 100 0.043645125 in 26021.27117 100 100 0.057562089 and 25279.79239 100 100 0.06329026 is 18536.96967 100 100 0.107426849 a 18490.62724 100 100 0.052972836 that 10450.21665 100 100 0.108072356 for 10125.81968 100 100 0.072610184 as 9245.313622 100 100 0.062639511 this 8411.149987 100 100 0.099250608 be 8341.636351 100 100 0.116963934 on 7600.157564 100 100 0.074309175 are 7229.418171 100 100 0.137328324 with 6742.822717 100 100 0.059559982 it 6117.199991 100 100 0.087046929 not 5978.172718 100 100 0.113530721 by 5259.865144 100 100 0.057889553 which 4703.756053 100 100 0.075522392 an 4611.071205 100 100 0.06664597 rate 4333.01666 92.30769231 63.95348837 0.499836095 i 4286.674236 92.30769231 100 0.330676517 from 4147.646963 100 100 0.06951593 s 3962.277267 100 100 0.192171814 variables 3915.934843 84.61538462 29.06976744 0.585262566 model 3661.05151 84.61538462 79.06976744 0.438062879 have 3406.168177 100 100 0.106377009 was 3313.483328 100 100 0.229194074 at 3243.969692 92.30769231 100 0.115989985 has 2989.086359 100 100 0.106175651 will 2965.915147 84.61538462 100 0.204781384 we 2873.230299 76.92307692 98.8372093 0.341580137 also 2641.518178 100 100 0.100251963 may 2595.175754 84.61538462 100 0.175208715 test 2595.175754 69.23076923 51.1627907 0.449980361 level 2572.004542 100 98.8372093 0.279579666 economic 2525.662117 84.61538462 56.97674419 0.509684924 when 2525.662117 100 100 0.13699742 results 2363.463633 92.30769231 81.39534884 0.386077293 data 2270.778784 84.61538462 70.93023256 0.42809405 or 2270.778784 100 100 0.122509942 From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Transcript of Research section assets... · Web viewEconomics Level 4. From the BAWE corpus . Created by Philip...
Economics Level 4
word Frequency per million words
Percentage of texts
Percentage of subcorpora
DP
the 86498.13472 100 100 0.06786857of 37282.48025 100 100 0.065876918to 26067.6136 100 100 0.043645125in 26021.27117 100 100 0.057562089and 25279.79239 100 100 0.06329026is 18536.96967 100 100 0.107426849a 18490.62724 100 100 0.052972836that 10450.21665 100 100 0.108072356for 10125.81968 100 100 0.072610184as 9245.313622 100 100 0.062639511this 8411.149987 100 100 0.099250608be 8341.636351 100 100 0.116963934on 7600.157564 100 100 0.074309175are 7229.418171 100 100 0.137328324with 6742.822717 100 100 0.059559982it 6117.199991 100 100 0.087046929not 5978.172718 100 100 0.113530721by 5259.865144 100 100 0.057889553which 4703.756053 100 100 0.075522392an 4611.071205 100 100 0.06664597rate 4333.01666 92.30769231 63.95348837 0.499836095i 4286.674236 92.30769231 100 0.330676517from 4147.646963 100 100 0.06951593s 3962.277267 100 100 0.192171814variables 3915.934843 84.61538462 29.06976744 0.585262566model 3661.05151 84.61538462 79.06976744 0.438062879have 3406.168177 100 100 0.106377009was 3313.483328 100 100 0.229194074at 3243.969692 92.30769231 100 0.115989985has 2989.086359 100 100 0.106175651will 2965.915147 84.61538462 100 0.204781384we 2873.230299 76.92307692 98.8372093 0.341580137also 2641.518178 100 100 0.100251963may 2595.175754 84.61538462 100 0.175208715test 2595.175754 69.23076923 51.1627907 0.449980361level 2572.004542 100 98.8372093 0.279579666economic 2525.662117 84.61538462 56.97674419 0.509684924when 2525.662117 100 100 0.13699742results 2363.463633 92.30769231 81.39534884 0.386077293data 2270.778784 84.61538462 70.93023256 0.42809405or 2270.778784 100 100 0.122509942p 2270.778784 84.61538462 94.18604651 0.410373985between 2247.607572 92.30769231 100 0.122827141e 2224.43636 76.92307692 97.6744186 0.260873034inflation 2224.43636 30.76923077 6.976744186 0.785659446more 2201.265148 100 100 0.119728753significant 2108.5803 69.23076923 90.69767442 0.265659753
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
health 2085.409088 46.15384615 40.69767442 0.626769771cb 2062.237876 15.38461538 1.162790698 0.970397963one 2039.066664 100 100 0.108562698since 2039.066664 92.30769231 98.8372093 0.233908175can 2015.895451 100 100 0.157599029mortality 2015.895451 30.76923077 4.651162791 0.729545754other 1969.553027 100 100 0.092395667these 1969.553027 100 100 0.122054943however 1923.210603 100 100 0.101097009been 1900.039391 100 100 0.133160621interest 1900.039391 69.23076923 68.60465116 0.343464111countries 1876.868179 92.30769231 48.8372093 0.576154567analysis 1807.354543 76.92307692 90.69767442 0.298065843education 1807.354543 30.76923077 48.8372093 0.416455486if 1784.183331 100 100 0.193914294only 1784.183331 92.30769231 100 0.099035199there 1737.840906 100 100 0.100518761run 1668.32727 69.23076923 41.86046512 0.447788662expected 1645.156058 76.92307692 75.58139535 0.279885617monetary 1645.156058 46.15384615 8.139534884 0.705838854variable 1645.156058 76.92307692 34.88372093 0.499978022case 1621.984846 92.30769231 100 0.250352109than 1621.984846 92.30769231 100 0.103603061effect 1598.813634 100 96.51162791 0.27087684india 1598.813634 46.15384615 10.46511628 0.69041397r 1598.813634 53.84615385 56.97674419 0.456793967information 1575.642422 69.23076923 90.69767442 0.356315417such 1575.642422 76.92307692 100 0.094871885they 1552.47121 100 100 0.166584629all 1529.299998 100 100 0.109099628important 1529.299998 84.61538462 100 0.159405014but 1506.128786 100 100 0.109171424paper 1506.128786 92.30769231 48.8372093 0.341172146policy 1482.957574 76.92307692 46.51162791 0.56499743table 1482.957574 69.23076923 56.97674419 0.467920912trade 1459.786361 53.84615385 45.34883721 0.545780162could 1436.615149 92.30769231 100 0.157942882growth 1436.615149 69.23076923 60.46511628 0.479219965both 1413.443937 92.30769231 100 0.102588742section 1390.272725 76.92307692 68.60465116 0.381159522equation 1367.101513 69.23076923 24.41860465 0.703183826after 1343.930301 76.92307692 98.8372093 0.171216774economy 1343.930301 69.23076923 37.20930233 0.607751704exchange 1343.930301 30.76923077 34.88372093 0.542598524situation 1343.930301 46.15384615 77.90697674 0.252754793their 1343.930301 92.30769231 100 0.210704346where 1343.930301 92.30769231 100 0.140206088credit 1320.759089 30.76923077 11.62790698 0.578689391positive 1320.759089 84.61538462 83.72093023 0.297983177
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
used 1320.759089 76.92307692 100 0.297154926possible 1297.587877 92.30769231 100 0.171300535two 1297.587877 100 100 0.188678573bank 1274.416665 61.53846154 22.09302326 0.564952117effects 1251.245453 84.61538462 77.90697674 0.33426512problems 1251.245453 69.23076923 88.37209302 0.248004387would 1251.245453 84.61538462 100 0.173023571different 1228.074241 92.30769231 100 0.184745272negative 1228.074241 76.92307692 80.23255814 0.306453387see 1228.074241 76.92307692 100 0.238140583under 1228.074241 84.61538462 97.6744186 0.230433437female 1204.903028 38.46153846 39.53488372 0.520725168no 1204.903028 100 100 0.176764706long 1181.731816 69.23076923 100 0.213752011public 1181.731816 53.84615385 67.44186047 0.352762797currency 1158.560604 38.46153846 8.139534884 0.706872092regression 1158.560604 61.53846154 4.651162791 0.766211222argentine 1135.389392 23.07692308 2.325581395 0.947606292evidence 1135.389392 69.23076923 79.06976744 0.376693738found 1135.389392 76.92307692 100 0.294497603output 1135.389392 53.84615385 26.74418605 0.668086895about 1112.21818 100 100 0.159655351banking 1112.21818 23.07692308 2.325581395 0.705830029figure 1112.21818 38.46153846 58.13953488 0.507648276high 1112.21818 76.92307692 90.69767442 0.322684236some 1112.21818 100 100 0.105481393using 1112.21818 69.23076923 100 0.34564148empirical 1089.046968 61.53846154 24.41860465 0.530492156following 1089.046968 84.61538462 94.18604651 0.250752738real 1089.046968 61.53846154 75.58139535 0.292422558relationship 1089.046968 76.92307692 84.88372093 0.247414719does 1065.875756 92.30769231 100 0.206315939higher 1065.875756 84.61538462 89.53488372 0.364960915number 1065.875756 84.61538462 100 0.219860047value 1065.875756 92.30769231 89.53488372 0.42141387banks 1042.704544 30.76923077 3.488372093 0.596054104first 1042.704544 84.61538462 100 0.154505987period 1042.704544 61.53846154 82.55813953 0.3383395were 1042.704544 92.30769231 100 0.271168377foreign 1019.533332 30.76923077 36.04651163 0.519864002further 1019.533332 76.92307692 100 0.141273079should 1019.533332 92.30769231 100 0.219309635smoking 1019.533332 15.38461538 4.651162791 0.788059849child 996.3621197 30.76923077 33.72093023 0.582529515factors 996.3621197 69.23076923 84.88372093 0.276447811null 996.3621197 61.53846154 4.651162791 0.777825211sector 996.3621197 30.76923077 23.25581395 0.616292549terms 996.3621197 92.30769231 94.18604651 0.19935676time 996.3621197 92.30769231 100 0.163768978
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
being 973.1909076 100 100 0.150314011function 973.1909076 61.53846154 66.27906977 0.382663349gdp 973.1909076 38.46153846 8.139534884 0.802498019government 973.1909076 61.53846154 52.3255814 0.469803839income 973.1909076 69.23076923 31.39534884 0.542221572thus 973.1909076 69.23076923 98.8372093 0.234662744each 950.0196955 84.61538462 100 0.259926796hypothesis 950.0196955 76.92307692 27.90697674 0.564715906development 926.8484834 76.92307692 93.02325581 0.286145602error 926.8484834 61.53846154 30.23255814 0.632195401financial 926.8484834 38.46153846 43.02325581 0.502072761non 926.8484834 84.61538462 95.34883721 0.227991175short 926.8484834 69.23076923 80.23255814 0.234995316significance 926.8484834 53.84615385 39.53488372 0.361360522study 926.8484834 84.61538462 83.72093023 0.399219569us 926.8484834 76.92307692 90.69767442 0.337492937well 926.8484834 92.30769231 100 0.13845316agents 903.6772714 38.46153846 17.44186047 0.513013622crisis 903.6772714 30.76923077 24.41860465 0.645194268increase 903.6772714 92.30769231 87.20930233 0.351473783independent 903.6772714 46.15384615 47.6744186 0.329764014most 903.6772714 69.23076923 100 0.111055803seems 903.6772714 61.53846154 84.88372093 0.292358664while 903.6772714 69.23076923 97.6744186 0.205041639among 880.5060593 69.23076923 67.44186047 0.326162893life 880.5060593 15.38461538 91.86046512 0.285194596poverty 880.5060593 30.76923077 15.11627907 0.610495122rates 880.5060593 46.15384615 40.69767442 0.444798957tests 880.5060593 53.84615385 24.41860465 0.517833363use 880.5060593 76.92307692 100 0.222020724years 880.5060593 69.23076923 96.51162791 0.232071535equilibrium 857.3348472 46.15384615 9.302325581 0.704141872explanatory 857.3348472 53.84615385 4.651162791 0.718799369fact 857.3348472 61.53846154 98.8372093 0.200606592infant 857.3348472 30.76923077 4.651162791 0.671938123order 857.3348472 76.92307692 100 0.175793042shows 857.3348472 76.92307692 94.18604651 0.303280994correlation 834.1636351 76.92307692 19.76744186 0.607563135furthermore 834.1636351 38.46153846 62.79069767 0.328937063its 834.1636351 76.92307692 100 0.179772139loans 834.1636351 15.38461538 5.813953488 0.686274149our 834.1636351 30.76923077 91.86046512 0.374104684residuals 834.1636351 38.46153846 2.325581395 0.893052676risk 834.1636351 30.76923077 53.48837209 0.444713267statistics 834.1636351 61.53846154 17.44186047 0.54556827supply 834.1636351 38.46153846 44.18604651 0.454970499system 834.1636351 38.46153846 96.51162791 0.308125527through 834.1636351 84.61538462 100 0.142129446demand 810.992423 23.07692308 36.04651163 0.596942445
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
developing 810.992423 84.61538462 51.1627907 0.37690906private 810.992423 38.46153846 47.6744186 0.443822449problem 810.992423 84.61538462 87.20930233 0.272230796capital 787.8212109 53.84615385 37.20930233 0.571021572during 787.8212109 61.53846154 96.51162791 0.2297757expectancy 787.8212109 15.38461538 2.325581395 0.674787928those 787.8212109 69.23076923 100 0.165446681coefficients 764.6499988 53.84615385 6.976744186 0.783741644even 764.6499988 69.23076923 100 0.182321731values 764.6499988 53.84615385 81.39534884 0.40731642world 764.6499988 61.53846154 93.02325581 0.360301198associated 741.4787868 53.84615385 84.88372093 0.266666484because 741.4787868 53.84615385 100 0.148126372below 741.4787868 69.23076923 62.79069767 0.382612112follows 741.4787868 84.61538462 45.34883721 0.36008769form 741.4787868 84.61538462 98.8372093 0.245376887how 741.4787868 61.53846154 98.8372093 0.204454137less 741.4787868 76.92307692 100 0.159214462what 741.4787868 84.61538462 96.51162791 0.247181189average 718.3075747 38.46153846 54.65116279 0.417088993hand 718.3075747 69.23076923 89.53488372 0.195773862increases 718.3075747 69.23076923 53.48837209 0.418495879levels 718.3075747 76.92307692 76.74418605 0.322593769out 718.3075747 84.61538462 100 0.117601236particular 718.3075747 53.84615385 98.8372093 0.182639067per 718.3075747 46.15384615 60.46511628 0.386222507same 718.3075747 84.61538462 100 0.173144792coefficient 695.1363626 53.84615385 15.11627907 0.697028289impact 695.1363626 69.23076923 62.79069767 0.300387326interesting 695.1363626 61.53846154 47.6744186 0.330206149market 695.1363626 53.84615385 52.3255814 0.570212825obtained 695.1363626 53.84615385 40.69767442 0.483122006over 695.1363626 69.23076923 100 0.128568186related 695.1363626 69.23076923 80.23255814 0.255398244social 695.1363626 76.92307692 73.25581395 0.406732254argentina 671.9651505 23.07692308 4.651162791 0.83124216assumed 671.9651505 61.53846154 32.55813953 0.34063042assumption 671.9651505 53.84615385 24.41860465 0.352766982balance 671.9651505 38.46153846 41.86046512 0.327486537based 671.9651505 69.23076923 98.8372093 0.183893368central 671.9651505 38.46153846 70.93023256 0.279755744developed 671.9651505 76.92307692 84.88372093 0.22100311rejected 671.9651505 53.84615385 8.139534884 0.476483973result 671.9651505 84.61538462 100 0.156314677return 671.9651505 23.07692308 43.02325581 0.330293568sample 671.9651505 69.23076923 44.18604651 0.569955989so 671.9651505 69.23076923 100 0.158583229term 671.9651505 76.92307692 86.04651163 0.259354887therefore 671.9651505 76.92307692 100 0.158291824
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
errors 648.7939384 53.84615385 27.90697674 0.593571734given 648.7939384 61.53846154 100 0.19065259low 648.7939384 69.23076923 79.06976744 0.326326263ols 648.7939384 46.15384615 1.162790698 0.971786229considering 625.6227263 30.76923077 46.51162791 0.272544469country 625.6227263 76.92307692 51.1627907 0.51979689do 625.6227263 76.92307692 100 0.191848919estimated 625.6227263 61.53846154 30.23255814 0.424246045fertility 625.6227263 23.07692308 3.488372093 0.706825638money 625.6227263 61.53846154 50 0.431103631probability 625.6227263 53.84615385 18.60465116 0.594853127show 625.6227263 69.23076923 91.86046512 0.239888206then 625.6227263 76.92307692 100 0.254632598above 602.4515142 76.92307692 97.6744186 0.231704136b 602.4515142 53.84615385 75.58139535 0.362115572borrowers 602.4515142 15.38461538 1.162790698 0.872410914cost 602.4515142 38.46153846 48.8372093 0.532169508devaluation 602.4515142 15.38461538 2.325581395 0.882037067explain 602.4515142 69.23076923 61.62790698 0.334311019find 602.4515142 92.30769231 89.53488372 0.219199122into 602.4515142 76.92307692 100 0.099678871might 602.4515142 69.23076923 90.69767442 0.24499639new 602.4515142 61.53846154 97.6744186 0.259340381ratio 602.4515142 53.84615385 30.23255814 0.606494711research 602.4515142 69.23076923 77.90697674 0.419909585studies 602.4515142 53.84615385 61.62790698 0.370673329t 602.4515142 53.84615385 89.53488372 0.279866362without 602.4515142 84.61538462 98.8372093 0.144482851approach 579.2803022 53.84615385 75.58139535 0.359138726children 579.2803022 38.46153846 44.18604651 0.546081839cit 579.2803022 30.76923077 5.813953488 0.833451822cross 579.2803022 46.15384615 38.37209302 0.355636883estimation 579.2803022 61.53846154 3.488372093 0.663384906international 579.2803022 46.15384615 40.69767442 0.633372861johansen 579.2803022 15.38461538 1.162790698 0.970256959op 579.2803022 30.76923077 5.813953488 0.79474424set 579.2803022 69.23076923 98.8372093 0.231839849y 579.2803022 53.84615385 29.06976744 0.588735186increasing 556.1090901 61.53846154 75.58139535 0.291545197insignificant 556.1090901 46.15384615 2.325581395 0.535341988institutional 556.1090901 38.46153846 13.95348837 0.679642951literacy 556.1090901 23.07692308 2.325581395 0.767037328n 556.1090901 46.15384615 50 0.470787061poor 556.1090901 30.76923077 61.62790698 0.27336858relation 556.1090901 38.46153846 62.79069767 0.337925006shown 556.1090901 69.23076923 88.37209302 0.329436003standard 556.1090901 61.53846154 63.95348837 0.357459359though 556.1090901 61.53846154 89.53488372 0.224877554variance 556.1090901 53.84615385 4.651162791 0.701154828
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
very 556.1090901 76.92307692 100 0.151070766way 556.1090901 61.53846154 98.8372093 0.200586699worth 556.1090901 38.46153846 13.95348837 0.311279728cointegration 532.937878 15.38461538 1.162790698 0.95766444consequence 532.937878 46.15384615 13.95348837 0.313517833due 532.937878 61.53846154 100 0.229354736included 532.937878 69.23076923 56.97674419 0.27904823loan 532.937878 23.07692308 2.325581395 0.631641773m 532.937878 38.46153846 72.09302326 0.399284779male 532.937878 30.76923077 38.37209302 0.52682792pp 532.937878 38.46153846 31.39534884 0.627707303reduce 532.937878 69.23076923 54.65116279 0.361225007school 532.937878 30.76923077 29.06976744 0.439309126towards 532.937878 38.46153846 89.53488372 0.198932722zero 532.937878 53.84615385 23.25581395 0.593995037bias 509.7666659 46.15384615 17.44186047 0.531348095equal 509.7666659 69.23076923 61.62790698 0.264528008existence 509.7666659 38.46153846 47.6744186 0.425694944framework 509.7666659 46.15384615 34.88372093 0.422486148labour 509.7666659 30.76923077 38.37209302 0.573147612like 509.7666659 61.53846154 100 0.204346138literature 509.7666659 76.92307692 36.04651163 0.453924415measures 509.7666659 53.84615385 36.04651163 0.394141723optimal 509.7666659 30.76923077 8.139534884 0.585612112point 509.7666659 53.84615385 100 0.190886133policies 509.7666659 38.46153846 33.72093023 0.528982772population 509.7666659 38.46153846 61.62790698 0.429968232shocks 509.7666659 38.46153846 4.651162791 0.852347212trend 509.7666659 46.15384615 22.09302326 0.4069591who 509.7666659 61.53846154 97.6744186 0.26514846��
509.7666659 23.07692308 6.976744186 0.81335521
addressed 486.5954538 30.76923077 12.79069767 0.330141568age 486.5954538 30.76923077 58.13953488 0.408170275any 486.5954538 69.23076923 100 0.134675417characteristics 486.5954538 53.84615385 59.30232558 0.302369259compared 486.5954538 76.92307692 82.55813953 0.259005791consistent 486.5954538 69.23076923 31.39534884 0.286862423domestic 486.5954538 38.46153846 41.86046512 0.50421468equations 486.5954538 46.15384615 12.79069767 0.754743599f 486.5954538 46.15384615 37.20930233 0.489227254include 486.5954538 84.61538462 81.39534884 0.252132734independence 486.5954538 15.38461538 9.302325581 0.550281496people 486.5954538 46.15384615 94.18604651 0.270824057project 486.5954538 15.38461538 44.18604651 0.596493941account 463.4242417 53.84615385 91.86046512 0.245342486appendix 463.4242417 38.46153846 37.20930233 0.574625259better 463.4242417 53.84615385 91.86046512 0.241311418cases 463.4242417 61.53846154 77.90697674 0.336464393certain 463.4242417 53.84615385 100 0.192569497
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
considered 463.4242417 61.53846154 96.51162791 0.169389809constant 463.4242417 53.84615385 56.97674419 0.412323211greater 463.4242417 69.23076923 94.18604651 0.197526156implies 463.4242417 69.23076923 25.58139535 0.365020164increased 463.4242417 53.84615385 80.23255814 0.283549936loss 463.4242417 23.07692308 66.27906977 0.318540547main 463.4242417 53.84615385 98.8372093 0.182136063markets 463.4242417 38.46153846 31.39534884 0.578190027profits 463.4242417 23.07692308 15.11627907 0.582108712reduced 463.4242417 46.15384615 60.46511628 0.33653348schooling 463.4242417 15.38461538 1.162790698 0.787704759specification 463.4242417 53.84615385 11.62790698 0.713799985technique 463.4242417 38.46153846 33.72093023 0.417043986unit 463.4242417 53.84615385 40.69767442 0.428552066work 463.4242417 69.23076923 98.8372093 0.260296027affect 440.2530296 76.92307692 76.74418605 0.2476125assets 440.2530296 30.76923077 10.46511628 0.679460662default 440.2530296 15.38461538 4.651162791 0.719122544dependent 440.2530296 53.84615385 45.34883721 0.27539804determine 440.2530296 61.53846154 66.27906977 0.297359602gender 440.2530296 30.76923077 27.90697674 0.600610339had 440.2530296 61.53846154 98.8372093 0.295353632limited 440.2530296 61.53846154 77.90697674 0.227710878nevertheless 440.2530296 30.76923077 33.72093023 0.361170845presented 440.2530296 61.53846154 52.3255814 0.298801847proportion 440.2530296 38.46153846 27.90697674 0.389870672stated 440.2530296 53.84615385 53.48837209 0.257905039��
440.2530296 15.38461538 3.488372093 0.873449403
another 417.0818175 53.84615385 100 0.132002743before 417.0818175 61.53846154 100 0.147927566clear 417.0818175 61.53846154 94.18604651 0.193841948conservative 417.0818175 15.38461538 9.302325581 0.55705995critical 417.0818175 38.46153846 60.46511628 0.317118198degree 417.0818175 38.46153846 75.58139535 0.185974392discussed 417.0818175 61.53846154 73.25581395 0.231196949g 417.0818175 38.46153846 87.20930233 0.33813528heteroscedasticity
417.0818175 23.07692308 1.162790698 0.980063867
heteroskedasticity
417.0818175 15.38461538 1.162790698 0.945206913
ii 417.0818175 38.46153846 23.25581395 0.422323415indicators 417.0818175 30.76923077 2.325581395 0.615653414likely 417.0818175 53.84615385 90.69767442 0.246336738lr 417.0818175 15.38461538 2.325581395 0.895694222models 417.0818175 61.53846154 38.37209302 0.457884574much 417.0818175 53.84615385 100 0.12513521now 417.0818175 53.84615385 97.6744186 0.175388604statistic 417.0818175 46.15384615 2.325581395 0.759448809still 417.0818175 61.53846154 100 0.132841398
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
taken 417.0818175 61.53846154 100 0.21027985up 417.0818175 76.92307692 100 0.141906169whether 417.0818175 61.53846154 97.6744186 0.233751818although 393.9106055 61.53846154 98.8372093 0.150949447confidence 393.9106055 38.46153846 19.76744186 0.419442896correct 393.9106055 76.92307692 47.6744186 0.34489108current 393.9106055 61.53846154 74.41860465 0.361177606especially 393.9106055 69.23076923 94.18604651 0.193648958expectations 393.9106055 38.46153846 20.93023256 0.470235256introduced 393.9106055 38.46153846 45.34883721 0.246179696means 393.9106055 61.53846154 98.8372093 0.162022843observations 393.9106055 53.84615385 16.27906977 0.484070121overall 393.9106055 46.15384615 59.30232558 0.300308007percentage 393.9106055 38.46153846 29.06976744 0.454985534residual 393.9106055 30.76923077 1.162790698 0.65832721stationary 393.9106055 23.07692308 4.651162791 0.698022375suggests 393.9106055 69.23076923 80.23255814 0.286476558tends 393.9106055 30.76923077 10.46511628 0.318819469three 393.9106055 38.46153846 100 0.186050645access 370.7393934 38.46153846 58.13953488 0.332635053amount 370.7393934 46.15384615 86.04651163 0.303730786c 370.7393934 53.84615385 80.23255814 0.402547135co 370.7393934 15.38461538 40.69767442 0.368123174conditions 370.7393934 61.53846154 75.58139535 0.272427599costs 370.7393934 30.76923077 44.18604651 0.517472698distribution 370.7393934 53.84615385 52.3255814 0.407312056estimates 370.7393934 38.46153846 6.976744186 0.527849364general 370.7393934 53.84615385 97.6744186 0.181577326importance 370.7393934 61.53846154 82.55813953 0.234640225individual 370.7393934 38.46153846 95.34883721 0.253049135measure 370.7393934 69.23076923 48.8372093 0.360787046need 370.7393934 61.53846154 100 0.210870337negatively 370.7393934 46.15384615 2.325581395 0.465901508political 370.7393934 53.84615385 54.65116279 0.562016375presence 370.7393934 53.84615385 53.48837209 0.368260142previous 370.7393934 61.53846154 75.58139535 0.218748635process 370.7393934 61.53846154 98.8372093 0.259727501question 370.7393934 53.84615385 76.74418605 0.315637638recent 370.7393934 69.23076923 63.95348837 0.29223434reducing 370.7393934 53.84615385 43.02325581 0.343850012role 370.7393934 30.76923077 87.20930233 0.240823778several 370.7393934 38.46153846 87.20930233 0.218273494statistically 370.7393934 38.46153846 2.325581395 0.730024546suggest 370.7393934 61.53846154 75.58139535 0.253982589why 370.7393934 53.84615385 88.37209302 0.207143414x 370.7393934 46.15384615 39.53488372 0.533103482according 347.5681813 69.23076923 90.69767442 0.26768647asymmetric 347.5681813 15.38461538 2.325581395 0.785115493available 347.5681813 53.84615385 84.88372093 0.278986902
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
change 347.5681813 61.53846154 100 0.211824127conclude 347.5681813 61.53846154 20.93023256 0.333429374discussion 347.5681813 46.15384615 40.69767442 0.346100529district 347.5681813 15.38461538 1.162790698 0.638538846dummies 347.5681813 46.15384615 2.325581395 0.938107289econometric 347.5681813 46.15384615 1.162790698 0.936929275educational 347.5681813 23.07692308 5.813953488 0.488708159finally 347.5681813 53.84615385 74.41860465 0.215349547functional 347.5681813 38.46153846 15.11627907 0.399969101group 347.5681813 30.76923077 90.69767442 0.372151648having 347.5681813 53.84615385 96.51162791 0.179523886highly 347.5681813 46.15384615 86.04651163 0.210888382iii 347.5681813 38.46153846 6.976744186 0.516228861l 347.5681813 38.46153846 58.13953488 0.496871303lower 347.5681813 69.23076923 80.23255814 0.307863352often 347.5681813 46.15384615 97.6744186 0.210577512outcome 347.5681813 30.76923077 22.09302326 0.365580901productivity 347.5681813 15.38461538 18.60465116 0.617431369relationships 347.5681813 61.53846154 40.69767442 0.35645322respectively 347.5681813 53.84615385 34.88372093 0.407247142shock 347.5681813 30.76923077 3.488372093 0.525424207similar 347.5681813 53.84615385 100 0.170632332theory 347.5681813 53.84615385 76.74418605 0.422465993type 347.5681813 23.07692308 86.04651163 0.275604162able 324.3969692 38.46153846 97.6744186 0.17838933additional 324.3969692 53.84615385 41.86046512 0.332839124adequate 324.3969692 30.76923077 15.11627907 0.35759367affects 324.3969692 53.84615385 25.58139535 0.335650723argued 324.3969692 53.84615385 60.46511628 0.375150287benefit 324.3969692 30.76923077 48.8372093 0.311733894control 324.3969692 46.15384615 90.69767442 0.271805258credits 324.3969692 15.38461538 2.325581395 0.791430301d 324.3969692 46.15384615 73.25581395 0.302815719debt 324.3969692 30.76923077 9.302325581 0.599209774estimate 324.3969692 38.46153846 18.60465116 0.529163799exists 324.3969692 46.15384615 33.72093023 0.374276126external 324.3969692 23.07692308 50 0.310865287final 324.3969692 30.76923077 72.09302326 0.274674424human 324.3969692 23.07692308 95.34883721 0.340169799indicates 324.3969692 46.15384615 43.02325581 0.317487255lags 324.3969692 30.76923077 2.325581395 0.87166056least 324.3969692 38.46153846 83.72093023 0.177692536longer 324.3969692 53.84615385 84.88372093 0.164026004macroeconomic 324.3969692 46.15384615 4.651162791 0.857105233many 324.3969692 53.84615385 100 0.160212845normality 324.3969692 46.15384615 1.162790698 0.756794925phenomenon 324.3969692 23.07692308 22.09302326 0.35133369remains 324.3969692 46.15384615 51.1627907 0.324336007reset 324.3969692 38.46153846 3.488372093 0.836709961
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
restrictions 324.3969692 61.53846154 8.139534884 0.456294018second 324.3969692 61.53846154 97.6744186 0.20337056seem 324.3969692 46.15384615 73.25581395 0.259791352size 324.3969692 46.15384615 66.27906977 0.378520301strong 324.3969692 38.46153846 84.88372093 0.226065054take 324.3969692 61.53846154 100 0.147699976them 324.3969692 53.84615385 100 0.169564557white 324.3969692 38.46153846 45.34883721 0.408161389arises 301.2257571 30.76923077 5.813953488 0.361767035authorities 301.2257571 30.76923077 16.27906977 0.562455499avoid 301.2257571 38.46153846 50 0.228314864correctly 301.2257571 38.46153846 8.139534884 0.443572869denominated 301.2257571 23.07692308 1.162790698 0.992521394difference 301.2257571 38.46153846 82.55813953 0.252174678environment 301.2257571 38.46153846 75.58139535 0.369628423equals 301.2257571 30.76923077 5.813953488 0.572699751factor 301.2257571 69.23076923 81.39534884 0.30607657findings 301.2257571 30.76923077 30.23255814 0.474676942gives 301.2257571 38.46153846 69.76744186 0.283528304granger 301.2257571 23.07692308 1.162790698 0.970256959hazard 301.2257571 23.07692308 1.162790698 0.783111674including 301.2257571 61.53846154 91.86046512 0.208369743index 301.2257571 53.84615385 8.139534884 0.558188302influence 301.2257571 23.07692308 79.06976744 0.301963404instance 301.2257571 38.46153846 56.97674419 0.312490854likelihood 301.2257571 53.84615385 1.162790698 0.437575943mean 301.2257571 38.46153846 80.23255814 0.266738228next 301.2257571 61.53846154 72.09302326 0.247670664objective 301.2257571 30.76923077 46.51162791 0.364025475reduction 301.2257571 46.15384615 37.20930233 0.403877407regime 301.2257571 23.07692308 19.76744186 0.597697379reported 301.2257571 38.46153846 19.76744186 0.370437182significantly 301.2257571 38.46153846 45.34883721 0.291048128specific 301.2257571 38.46153846 89.53488372 0.253853511state 301.2257571 38.46153846 91.86046512 0.41668848tested 301.2257571 38.46153846 24.41860465 0.516372028water 301.2257571 15.38461538 44.18604651 0.581453513year 301.2257571 38.46153846 73.25581395 0.424876634actual 278.054545 46.15384615 62.79069767 0.272254097adverse 278.054545 30.76923077 2.325581395 0.449191237al 278.054545 38.46153846 54.65116279 0.572530318cannot 278.054545 46.15384615 100 0.26030565care 278.054545 30.76923077 32.55813953 0.602865238causes 278.054545 30.76923077 63.95348837 0.29073354difficult 278.054545 61.53846154 96.51162791 0.182988671directly 278.054545 46.15384615 76.74418605 0.193935865distortions 278.054545 30.76923077 1.162790698 0.857098619early 278.054545 46.15384615 80.23255814 0.333762041exogenous 278.054545 46.15384615 2.325581395 0.841586945
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
explaining 278.054545 53.84615385 15.11627907 0.396409091explains 278.054545 53.84615385 20.93023256 0.369051461firms 278.054545 15.38461538 18.60465116 0.711456952fully 278.054545 38.46153846 59.30232558 0.213063124gap 278.054545 30.76923077 12.79069767 0.336238345improve 278.054545 53.84615385 51.1627907 0.364594043improving 278.054545 30.76923077 19.76744186 0.435394473indian 278.054545 30.76923077 10.46511628 0.733856177indicate 278.054545 38.46153846 32.55813953 0.344493981indicated 278.054545 53.84615385 23.25581395 0.385824817intervention 278.054545 46.15384615 19.76744186 0.572385115issue 278.054545 53.84615385 67.44186047 0.298719294iv 278.054545 38.46153846 6.976744186 0.578832417linear 278.054545 53.84615385 24.41860465 0.578810633mexico 278.054545 15.38461538 5.813953488 0.782025412moral 278.054545 15.38461538 34.88372093 0.600561926necessary 278.054545 38.46153846 97.6744186 0.197756026performance 278.054545 30.76923077 38.37209302 0.56575837probably 278.054545 53.84615385 63.95348837 0.260363941regressions 278.054545 30.76923077 2.325581395 0.951211355reject 278.054545 30.76923077 3.488372093 0.516925323represents 278.054545 38.46153846 29.06976744 0.296054086series 278.054545 46.15384615 37.20930233 0.344054689support 278.054545 46.15384615 88.37209302 0.247831799testing 278.054545 53.84615385 23.25581395 0.526771776vector 278.054545 30.76923077 5.813953488 0.782477378viewpoint 278.054545 23.07692308 2.325581395 0.486751219women 278.054545 30.76923077 50 0.59205767��
278.054545 15.38461538 1.162790698 0.857131464
against 254.8833329 38.46153846 94.18604651 0.278172452around 254.8833329 46.15384615 91.86046512 0.238834203arrangement 254.8833329 15.38461538 9.302325581 0.493057661behaviour 254.8833329 46.15384615 72.09302326 0.365239357best 254.8833329 38.46153846 87.20930233 0.216266097capita 254.8833329 15.38461538 4.651162791 0.818212719dependant 254.8833329 23.07692308 10.46511628 0.4362321depreciation 254.8833329 30.76923077 2.325581395 0.860319495done 254.8833329 53.84615385 80.23255814 0.249893888either 254.8833329 61.53846154 93.02325581 0.164404482evolution 254.8833329 30.76923077 19.76744186 0.498200035experience 254.8833329 38.46153846 70.93023256 0.394330917explanation 254.8833329 46.15384615 38.37209302 0.33468502few 254.8833329 46.15384615 91.86046512 0.185379365firm 254.8833329 15.38461538 18.60465116 0.634785751future 254.8833329 53.84615385 82.55813953 0.269195522generate 254.8833329 61.53846154 22.09302326 0.365090921generated 254.8833329 38.46153846 24.41860465 0.395780206generating 254.8833329 23.07692308 2.325581395 0.474393338he 254.8833329 53.84615385 89.53488372 0.439061851
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
imf 254.8833329 23.07692308 3.488372093 0.852009468incentive 254.8833329 23.07692308 5.813953488 0.535052551inequality 254.8833329 38.46153846 6.976744186 0.59416048insight 254.8833329 23.07692308 12.79069767 0.309090901institutions 254.8833329 23.07692308 27.90697674 0.594902563intercept 254.8833329 46.15384615 5.813953488 0.809526793issues 254.8833329 30.76923077 65.11627907 0.347124737known 254.8833329 46.15384615 91.86046512 0.279126434large 254.8833329 53.84615385 97.6744186 0.239897789lead 254.8833329 53.84615385 96.51162791 0.176059796lt 254.8833329 30.76923077 13.95348837 0.598413126middle 254.8833329 23.07692308 44.18604651 0.397053144noting 254.8833329 30.76923077 4.651162791 0.524072009once 254.8833329 61.53846154 96.51162791 0.175295234parental 254.8833329 15.38461538 2.325581395 0.739930123plus 254.8833329 30.76923077 2.325581395 0.449005632points 254.8833329 38.46153846 79.06976744 0.262974398present 254.8833329 46.15384615 95.34883721 0.237919325production 254.8833329 46.15384615 65.11627907 0.458881747quality 254.8833329 38.46153846 66.27906977 0.437861257reason 254.8833329 53.84615385 88.37209302 0.249517194relative 254.8833329 46.15384615 47.6744186 0.340505574robust 254.8833329 30.76923077 2.325581395 0.630362272rule 254.8833329 23.07692308 40.69767442 0.396612818small 254.8833329 69.23076923 90.69767442 0.290838039smaller 254.8833329 23.07692308 44.18604651 0.376326319states 254.8833329 61.53846154 87.20930233 0.418990686suffer 254.8833329 46.15384615 9.302325581 0.405491412tend 254.8833329 38.46153846 36.04651163 0.39182869total 254.8833329 46.15384615 67.44186047 0.354965451across 231.7121209 30.76923077 67.44186047 0.260150576activity 231.7121209 15.38461538 59.30232558 0.387544764address 231.7121209 38.46153846 32.55813953 0.360955775adjusted 231.7121209 38.46153846 4.651162791 0.501467146affected 231.7121209 46.15384615 66.27906977 0.222347387affecting 231.7121209 30.76923077 6.976744186 0.338624881aggregate 231.7121209 30.76923077 5.813953488 0.78060814assumptions 231.7121209 46.15384615 27.90697674 0.41558592avoiding 231.7121209 23.07692308 2.325581395 0.427201094become 231.7121209 53.84615385 100 0.174943327benefits 231.7121209 53.84615385 52.3255814 0.379691395biased 231.7121209 46.15384615 5.813953488 0.53856563common 231.7121209 46.15384615 96.51162791 0.213008223correlated 231.7121209 38.46153846 5.813953488 0.656518068curve 231.7121209 23.07692308 19.76744186 0.615848974defined 231.7121209 46.15384615 74.41860465 0.253550841dollar 231.7121209 30.76923077 5.813953488 0.741484779elasticity 231.7121209 23.07692308 2.325581395 0.765610664et 231.7121209 38.46153846 53.48837209 0.586531701
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
excess 231.7121209 15.38461538 16.27906977 0.4891356followed 231.7121209 38.46153846 52.3255814 0.22813505force 231.7121209 30.76923077 65.11627907 0.386435741funds 231.7121209 15.38461538 10.46511628 0.594655802here 231.7121209 38.46153846 84.88372093 0.250144812hold 231.7121209 53.84615385 39.53488372 0.302913838holdings 231.7121209 15.38461538 1.162790698 0.808748567implications 231.7121209 46.15384615 43.02325581 0.324296885improvements 231.7121209 38.46153846 6.976744186 0.42441216indonesia 231.7121209 15.38461538 2.325581395 0.80105288integration 231.7121209 30.76923077 17.44186047 0.533822003involved 231.7121209 46.15384615 89.53488372 0.203644981lack 231.7121209 46.15384615 84.88372093 0.21924018last 231.7121209 38.46153846 83.72093023 0.22002994lender 231.7121209 15.38461538 1.162790698 0.876127241living 231.7121209 23.07692308 56.97674419 0.331600479log 231.7121209 38.46153846 4.651162791 0.703409382mechanism 231.7121209 38.46153846 23.25581395 0.460095383must 231.7121209 46.15384615 100 0.191119399normal 231.7121209 53.84615385 40.69767442 0.418417378normally 231.7121209 38.46153846 19.76744186 0.320267527noted 231.7121209 30.76923077 46.51162791 0.25218534omitted 231.7121209 46.15384615 2.325581395 0.601995953particularly 231.7121209 46.15384615 83.72093023 0.206740443position 231.7121209 30.76923077 79.06976744 0.255624642price 231.7121209 46.15384615 32.55813953 0.624134345prices 231.7121209 46.15384615 25.58139535 0.59984313ramsey 231.7121209 38.46153846 1.162790698 0.967230304relevant 231.7121209 53.84615385 56.97674419 0.290413973rural 231.7121209 15.38461538 13.95348837 0.659326481scenario 231.7121209 38.46153846 6.976744186 0.477684621selection 231.7121209 23.07692308 20.93023256 0.505617811signs 231.7121209 46.15384615 10.46511628 0.538850233sources 231.7121209 38.46153846 51.1627907 0.327997209structural 231.7121209 23.07692308 33.72093023 0.487997141takes 231.7121209 46.15384615 63.95348837 0.248389181taking 231.7121209 38.46153846 86.04651163 0.182291015weight 231.7121209 23.07692308 32.55813953 0.486073525adequacy 208.5409088 15.38461538 1.162790698 0.819399736assumes 208.5409088 38.46153846 12.79069767 0.470000884authors 208.5409088 30.76923077 20.93023256 0.522727138averaged 208.5409088 15.38461538 1.162790698 0.739596599averages 208.5409088 30.76923077 1.162790698 0.673581103basic 208.5409088 23.07692308 69.76744186 0.250980306cause 208.5409088 38.46153846 89.53488372 0.262748385changes 208.5409088 53.84615385 88.37209302 0.263326288clearly 208.5409088 69.23076923 83.72093023 0.177964031compare 208.5409088 53.84615385 37.20930233 0.323360821conducted 208.5409088 46.15384615 27.90697674 0.367188623
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
decided 208.5409088 30.76923077 33.72093023 0.380435301did 208.5409088 46.15384615 93.02325581 0.266484637differences 208.5409088 46.15384615 76.74418605 0.328676576direction 208.5409088 30.76923077 29.06976744 0.365752595distributed 208.5409088 30.76923077 9.302325581 0.458390603estimator 208.5409088 30.76923077 1.162790698 0.960827473example 208.5409088 38.46153846 100 0.192866219explained 208.5409088 38.46153846 40.69767442 0.286551827follow 208.5409088 53.84615385 51.1627907 0.227675952food 208.5409088 23.07692308 48.8372093 0.611290456formulation 208.5409088 15.38461538 1.162790698 0.527574763frameworks 208.5409088 23.07692308 5.813953488 0.601215936get 208.5409088 46.15384615 79.06976744 0.237962375give 208.5409088 30.76923077 95.34883721 0.188971643good 208.5409088 53.84615385 100 0.218393241helps 208.5409088 30.76923077 23.25581395 0.327140281his 208.5409088 30.76923077 86.04651163 0.471362066implemented 208.5409088 23.07692308 20.93023256 0.441476783imply 208.5409088 38.46153846 11.62790698 0.435227863investment 208.5409088 30.76923077 31.39534884 0.577606749k 208.5409088 23.07692308 36.04651163 0.478573823leading 208.5409088 38.46153846 67.44186047 0.200090493made 208.5409088 46.15384615 100 0.145686003major 208.5409088 38.46153846 90.69767442 0.211600903meaning 208.5409088 38.46153846 66.27906977 0.457772045measured 208.5409088 53.84615385 33.72093023 0.514329285missing 208.5409088 23.07692308 3.488372093 0.433742338obtain 208.5409088 38.46153846 37.20930233 0.31080466part 208.5409088 46.15384615 100 0.158624954possibility 208.5409088 46.15384615 48.8372093 0.268877866prevalence 208.5409088 23.07692308 2.325581395 0.619893997previously 208.5409088 38.46153846 62.79069767 0.23554215proposed 208.5409088 23.07692308 41.86046512 0.294688362reasons 208.5409088 61.53846154 74.41860465 0.22065047refers 208.5409088 46.15384615 33.72093023 0.354856473report 208.5409088 46.15384615 60.46511628 0.40232095repression 208.5409088 15.38461538 5.813953488 0.729258521resources 208.5409088 53.84615385 60.46511628 0.382845478root 208.5409088 15.38461538 8.139534884 0.485663649showed 208.5409088 38.46153846 47.6744186 0.373840773showing 208.5409088 46.15384615 44.18604651 0.302026553slightly 208.5409088 38.46153846 50 0.309786701specified 208.5409088 30.76923077 8.139534884 0.516485073step 208.5409088 38.46153846 32.55813953 0.328787562summarised 208.5409088 38.46153846 3.488372093 0.465664787tables 208.5409088 30.76923077 9.302325581 0.579033925too 208.5409088 38.46153846 98.8372093 0.151222787uk 208.5409088 15.38461538 44.18604651 0.519087738until 208.5409088 46.15384615 88.37209302 0.212138664
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
upward 208.5409088 23.07692308 3.488372093 0.70532589v 208.5409088 38.46153846 32.55813953 0.625919238vulnerability 208.5409088 15.38461538 1.162790698 0.623060688worker 208.5409088 15.38461538 8.139534884 0.587130788z 208.5409088 15.38461538 13.95348837 0.687952982absence 185.3696967 38.46153846 26.74418605 0.337052857again 185.3696967 38.46153846 95.34883721 0.168311965almost 185.3696967 38.46153846 79.06976744 0.196723425applied 185.3696967 30.76923077 70.93023256 0.331081084appropriate 185.3696967 53.84615385 67.44186047 0.275780641attempt 185.3696967 30.76923077 63.95348837 0.294345131brief 185.3696967 38.46153846 11.62790698 0.332169108causal 185.3696967 15.38461538 6.976744186 0.682677359causality 185.3696967 30.76923077 3.488372093 0.773285617condition 185.3696967 38.46153846 43.02325581 0.390684703continue 185.3696967 38.46153846 41.86046512 0.24462706direct 185.3696967 53.84615385 81.39534884 0.245914457end 185.3696967 30.76923077 91.86046512 0.227185827engle 185.3696967 15.38461538 1.162790698 0.945419538estimating 185.3696967 38.46153846 1.162790698 0.679396925expect 185.3696967 38.46153846 18.60465116 0.283651983fit 185.3696967 23.07692308 41.86046512 0.318423925formally 185.3696967 15.38461538 1.162790698 0.490502876full 185.3696967 30.76923077 74.41860465 0.187291602game 185.3696967 15.38461538 5.813953488 0.564599535h 185.3696967 23.07692308 46.51162791 0.453196644help 185.3696967 38.46153846 82.55813953 0.28223598hence 185.3696967 38.46153846 73.25581395 0.334597986highlighting 185.3696967 15.38461538 2.325581395 0.479820986implying 185.3696967 46.15384615 5.813953488 0.497336416includes 185.3696967 30.76923077 39.53488372 0.287239322indicator 185.3696967 30.76923077 4.651162791 0.513740133infrastructure 185.3696967 23.07692308 6.976744186 0.617628614lagged 185.3696967 15.38461538 1.162790698 0.897852403late 185.3696967 23.07692308 37.20930233 0.371437586line 185.3696967 38.46153846 80.23255814 0.382670361logged 185.3696967 15.38461538 1.162790698 0.819472864needed 185.3696967 38.46153846 79.06976744 0.237783748original 185.3696967 46.15384615 58.13953488 0.281091804panel 185.3696967 15.38461538 3.488372093 0.715629016pattern 185.3696967 23.07692308 34.88372093 0.407385054positively 185.3696967 38.46153846 6.976744186 0.478028646power 185.3696967 38.46153846 84.88372093 0.362432463predicted 185.3696967 15.38461538 19.76744186 0.492699136presents 185.3696967 46.15384615 15.11627907 0.399370412primary 185.3696967 30.76923077 58.13953488 0.252312336proceed 185.3696967 30.76923077 3.488372093 0.451525152proxy 185.3696967 23.07692308 2.325581395 0.859100793rational 185.3696967 15.38461538 17.44186047 0.554857344
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
sectional 185.3696967 23.07692308 4.651162791 0.801504178seen 185.3696967 46.15384615 97.6744186 0.219322325shall 185.3696967 23.07692308 39.53488372 0.443482135side 185.3696967 30.76923077 68.60465116 0.273900533society 185.3696967 15.38461538 70.93023256 0.467475896strategy 185.3696967 30.76923077 37.20930233 0.590058066subject 185.3696967 46.15384615 62.79069767 0.336549815suggested 185.3696967 46.15384615 66.27906977 0.289676759turn 185.3696967 38.46153846 79.06976744 0.203070227usually 185.3696967 38.46153846 72.09302326 0.257407454valid 185.3696967 23.07692308 19.76744186 0.38499402yields 185.3696967 15.38461538 9.302325581 0.606254145��
185.3696967 15.38461538 3.488372093 0.84460701
achieve 162.1984846 38.46153846 63.95348837 0.271751698aim 162.1984846 38.46153846 66.27906977 0.218554863along 162.1984846 30.76923077 68.60465116 0.288665752analyse 162.1984846 38.46153846 32.55813953 0.336338715annual 162.1984846 15.38461538 13.95348837 0.552114205argue 162.1984846 38.46153846 50 0.413253447article 162.1984846 15.38461538 31.39534884 0.561742213bahmani 162.1984846 15.38461538 1.162790698 0.992521394basis 162.1984846 38.46153846 72.09302326 0.255811203break 162.1984846 23.07692308 25.58139535 0.273194696calculated 162.1984846 30.76923077 38.37209302 0.584480074carried 162.1984846 46.15384615 61.62790698 0.346416548check 162.1984846 30.76923077 13.95348837 0.430390065competitive 162.1984846 15.38461538 26.74418605 0.588866087conclusions 162.1984846 38.46153846 18.60465116 0.341564996considerations 162.1984846 30.76923077 9.302325581 0.501620023contracts 162.1984846 23.07692308 6.976744186 0.555473795correction 162.1984846 23.07692308 3.488372093 0.655946353debate 162.1984846 30.76923077 34.88372093 0.42754712decide 162.1984846 30.76923077 20.93023256 0.368494248depositors 162.1984846 15.38461538 1.162790698 0.978568215detailed 162.1984846 23.07692308 30.23255814 0.318810863determined 162.1984846 38.46153846 58.13953488 0.299177877discretionary 162.1984846 15.38461538 3.488372093 0.865423392distinguish 162.1984846 15.38461538 15.11627907 0.432151937dollars 162.1984846 30.76923077 2.325581395 0.736066438down 162.1984846 30.76923077 94.18604651 0.181482119drinking 162.1984846 15.38461538 2.325581395 0.635921687dummy 162.1984846 38.46153846 2.325581395 0.929931884dynamics 162.1984846 23.07692308 2.325581395 0.482420833earlier 162.1984846 30.76923077 47.6744186 0.257511502endogenous 162.1984846 15.38461538 2.325581395 0.828339936extension 162.1984846 30.76923077 9.302325581 0.459767232extensions 162.1984846 38.46153846 1.162790698 0.763953872family 162.1984846 30.76923077 62.79069767 0.388306541finding 162.1984846 38.46153846 25.58139535 0.255414463
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
former 162.1984846 38.46153846 26.74418605 0.398672475funding 162.1984846 15.38461538 10.46511628 0.499267608goods 162.1984846 30.76923077 32.55813953 0.564170748graphically 162.1984846 23.07692308 1.162790698 0.743668937holds 162.1984846 15.38461538 8.139534884 0.424704843implicitly 162.1984846 23.07692308 2.325581395 0.626056659instrument 162.1984846 23.07692308 8.139534884 0.58818974interestingly 162.1984846 38.46153846 2.325581395 0.395464046interpret 162.1984846 38.46153846 8.139534884 0.423057983interpreted 162.1984846 38.46153846 16.27906977 0.384301671january 162.1984846 15.38461538 8.139534884 0.53878335leads 162.1984846 38.46153846 53.48837209 0.264558114markedly 162.1984846 15.38461538 1.162790698 0.58009044measuring 162.1984846 53.84615385 15.11627907 0.540002864method 162.1984846 30.76923077 79.06976744 0.372236937methods 162.1984846 38.46153846 75.58139535 0.322357241misspecification 162.1984846 38.46153846 1.162790698 0.970256959months 162.1984846 30.76923077 29.06976744 0.424519406never 162.1984846 30.76923077 67.44186047 0.305062266note 162.1984846 30.76923077 44.18604651 0.346320908ones 162.1984846 38.46153846 44.18604651 0.259115641oskooee 162.1984846 15.38461538 1.162790698 0.992521394outliers 162.1984846 15.38461538 2.325581395 0.898591131parameters 162.1984846 30.76923077 15.11627907 0.592964387phillips 162.1984846 23.07692308 2.325581395 0.769388874provided 162.1984846 30.76923077 87.20930233 0.174816242quite 162.1984846 23.07692308 74.41860465 0.21102271redistribution 162.1984846 15.38461538 1.162790698 0.739601265relatively 162.1984846 38.46153846 73.25581395 0.255073149requirements 162.1984846 30.76923077 32.55813953 0.422362391response 162.1984846 38.46153846 66.27906977 0.255608162restricted 162.1984846 23.07692308 18.60465116 0.335761551serial 162.1984846 23.07692308 2.325581395 0.752954177sets 162.1984846 15.38461538 15.11627907 0.314642568shift 162.1984846 23.07692308 31.39534884 0.395078825sign 162.1984846 23.07692308 12.79069767 0.389715469solved 162.1984846 23.07692308 1.162790698 0.490678819source 162.1984846 53.84615385 74.41860465 0.326799293squared 162.1984846 23.07692308 2.325581395 0.783397519stable 162.1984846 30.76923077 33.72093023 0.368320996sustain 162.1984846 38.46153846 5.813953488 0.447951277times 162.1984846 30.76923077 87.20930233 0.219659637together 162.1984846 46.15384615 87.20930233 0.19497862types 162.1984846 15.38461538 74.41860465 0.279024234unemployment 162.1984846 15.38461538 13.95348837 0.730454977unexpected 162.1984846 15.38461538 2.325581395 0.432490998united 162.1984846 15.38461538 32.55813953 0.499576145utilized 162.1984846 23.07692308 1.162790698 0.616132835weak 162.1984846 23.07692308 22.09302326 0.31839226
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
working 162.1984846 30.76923077 70.93023256 0.323602572actually 139.0272725 23.07692308 83.72093023 0.237958789adjustment 139.0272725 23.07692308 4.651162791 0.689634416allow 139.0272725 30.76923077 84.88372093 0.216628726approaches 139.0272725 15.38461538 26.74418605 0.425627256area 139.0272725 30.76923077 87.20930233 0.292417716areas 139.0272725 30.76923077 81.39534884 0.285790637arg 139.0272725 15.38461538 1.162790698 0.946847607arise 139.0272725 30.76923077 17.44186047 0.332332347barro 139.0272725 23.07692308 2.325581395 0.980063867behind 139.0272725 30.76923077 61.62790698 0.204027396cash 139.0272725 15.38461538 9.302325581 0.696040195century 139.0272725 15.38461538 50 0.521802401china 139.0272725 30.76923077 18.60465116 0.678331282choice 139.0272725 23.07692308 60.46511628 0.311500999choose 139.0272725 30.76923077 34.88372093 0.363055051chosen 139.0272725 38.46153846 38.37209302 0.343799004close 139.0272725 30.76923077 70.93023256 0.216476325cointegrating 139.0272725 15.38461538 1.162790698 0.970256959comparing 139.0272725 30.76923077 30.23255814 0.309525201consider 139.0272725 38.46153846 74.41860465 0.252392389constructed 139.0272725 30.76923077 22.09302326 0.347165283corresponding 139.0272725 23.07692308 19.76744186 0.466744195critically 139.0272725 15.38461538 4.651162791 0.51824072december 139.0272725 30.76923077 9.302325581 0.515708221decrease 139.0272725 38.46153846 44.18604651 0.395344652demographic 139.0272725 23.07692308 2.325581395 0.623740453depends 139.0272725 30.76923077 31.39534884 0.286146968describes 139.0272725 46.15384615 27.90697674 0.329648053determinants 139.0272725 23.07692308 4.651162791 0.671444741determines 139.0272725 23.07692308 5.813953488 0.376882576determining 139.0272725 38.46153846 24.41860465 0.301611284difficulties 139.0272725 23.07692308 22.09302326 0.357860826diseases 139.0272725 23.07692308 17.44186047 0.603423269efficient 139.0272725 38.46153846 37.20930233 0.426989292emphasising 139.0272725 23.07692308 1.162790698 0.530383292ensure 139.0272725 23.07692308 66.27906977 0.273489342exist 139.0272725 30.76923077 58.13953488 0.29870616expansion 139.0272725 15.38461538 25.58139535 0.389659141expenditure 139.0272725 23.07692308 17.44186047 0.564229737experiences 139.0272725 15.38461538 32.55813953 0.442801429extend 139.0272725 23.07692308 2.325581395 0.289827211extremely 139.0272725 15.38461538 48.8372093 0.240689624far 139.0272725 23.07692308 95.34883721 0.214593411firstly 139.0272725 46.15384615 59.30232558 0.255728909five 139.0272725 23.07692308 60.46511628 0.295718279formal 139.0272725 23.07692308 30.23255814 0.427633629go 139.0272725 38.46153846 74.41860465 0.210366259graphs 139.0272725 30.76923077 12.79069767 0.692902546
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
gross 139.0272725 23.07692308 9.302325581 0.537427132identify 139.0272725 30.76923077 55.81395349 0.299719933improved 139.0272725 23.07692308 38.37209302 0.354996019inclusion 139.0272725 38.46153846 5.813953488 0.364786698indirectly 139.0272725 46.15384615 1.162790698 0.389552691introduce 139.0272725 30.76923077 8.139534884 0.392526993introducing 139.0272725 15.38461538 5.813953488 0.321082558j 139.0272725 30.76923077 53.48837209 0.393353705key 139.0272725 30.76923077 87.20930233 0.278807656liberalisation 139.0272725 15.38461538 4.651162791 0.833207273looking 139.0272725 23.07692308 68.60465116 0.270364817macro 139.0272725 38.46153846 3.488372093 0.557524703magnitude 139.0272725 38.46153846 10.46511628 0.608203566mainly 139.0272725 23.07692308 58.13953488 0.311453557makes 139.0272725 38.46153846 86.04651163 0.258928972making 139.0272725 23.07692308 100 0.226722183multivariate 139.0272725 23.07692308 1.162790698 0.922401298my 139.0272725 23.07692308 66.27906977 0.454413545national 139.0272725 38.46153846 53.48837209 0.452470647natural 139.0272725 15.38461538 79.06976744 0.316780971norms 139.0272725 15.38461538 13.95348837 0.565580699observed 139.0272725 38.46153846 50 0.425343508percent 139.0272725 23.07692308 13.95348837 0.515470632periods 139.0272725 23.07692308 23.25581395 0.439950703post 139.0272725 30.76923077 50 0.348282929potential 139.0272725 30.76923077 83.72093023 0.276373332pre 139.0272725 23.07692308 53.48837209 0.287728163prior 139.0272725 15.38461538 29.06976744 0.325202861programs 139.0272725 15.38461538 8.139534884 0.556987802properly 139.0272725 23.07692308 9.302325581 0.344207293provides 139.0272725 23.07692308 81.39534884 0.213146546put 139.0272725 23.07692308 89.53488372 0.170400161raised 139.0272725 15.38461538 18.60465116 0.322658169reached 139.0272725 23.07692308 33.72093023 0.28609968reflect 139.0272725 15.38461538 29.06976744 0.302695478regarding 139.0272725 38.46153846 48.8372093 0.290523478region 139.0272725 38.46153846 36.04651163 0.490053166rejects 139.0272725 23.07692308 1.162790698 0.612701847remain 139.0272725 23.07692308 56.97674419 0.228496693reports 139.0272725 23.07692308 16.27906977 0.409719557samples 139.0272725 30.76923077 27.90697674 0.631195149sanitation 139.0272725 15.38461538 1.162790698 0.876504836share 139.0272725 15.38461538 47.6744186 0.400791494slope 139.0272725 23.07692308 4.651162791 0.625722965standards 139.0272725 15.38461538 39.53488372 0.388093798statistical 139.0272725 23.07692308 11.62790698 0.459061714strict 139.0272725 38.46153846 4.651162791 0.389499928suffered 139.0272725 23.07692308 11.62790698 0.465730577theoretical 139.0272725 30.76923077 27.90697674 0.460951614
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
third 139.0272725 46.15384615 72.09302326 0.244087718today 139.0272725 23.07692308 59.30232558 0.334861523TRUE 139.0272725 30.76923077 74.41860465 0.305279669try 139.0272725 23.07692308 51.1627907 0.286415021unable 139.0272725 15.38461538 37.20930233 0.304542803upon 139.0272725 23.07692308 91.86046512 0.261611473useful 139.0272725 23.07692308 79.06976744 0.225161651usual 139.0272725 23.07692308 2.325581395 0.404802132variability 139.0272725 15.38461538 4.651162791 0.620333102view 139.0272725 38.46153846 84.88372093 0.260221062whole 139.0272725 30.76923077 95.34883721 0.194924894worthwhile 139.0272725 23.07692308 2.325581395 0.521383037accessibility 115.8560604 15.38461538 2.325581395 0.663790226accumulation 115.8560604 23.07692308 6.976744186 0.573840105accurately 115.8560604 23.07692308 12.79069767 0.367795015adult 115.8560604 15.38461538 17.44186047 0.551806038allowed 115.8560604 23.07692308 63.95348837 0.266587839allows 115.8560604 23.07692308 73.25581395 0.247420106already 115.8560604 30.76923077 88.37209302 0.174856365alternative 115.8560604 30.76923077 55.81395349 0.256337666american 115.8560604 15.38461538 33.72093023 0.594899284answer 115.8560604 15.38461538 37.20930233 0.389116782ask 115.8560604 15.38461538 20.93023256 0.484550761assume 115.8560604 30.76923077 23.25581395 0.278154038assuming 115.8560604 23.07692308 12.79069767 0.414712437attainment 115.8560604 15.38461538 2.325581395 0.673210881attitude 115.8560604 15.38461538 25.58139535 0.395272217augmented 115.8560604 30.76923077 2.325581395 0.838382956autocorrelation 115.8560604 23.07692308 1.162790698 0.966607679becomes 115.8560604 38.46153846 77.90697674 0.223460845births 115.8560604 15.38461538 1.162790698 0.883638252born 115.8560604 15.38461538 18.60465116 0.472494007briefly 115.8560604 38.46153846 5.813953488 0.402181501called 115.8560604 23.07692308 87.20930233 0.247072542capacity 115.8560604 30.76923077 36.04651163 0.411609884collected 115.8560604 38.46153846 22.09302326 0.481355944conduct 115.8560604 23.07692308 17.44186047 0.447363033conducting 115.8560604 15.38461538 3.488372093 0.506657943confirmed 115.8560604 23.07692308 11.62790698 0.377479152conflict 115.8560604 15.38461538 38.37209302 0.46376768consists 115.8560604 30.76923077 23.25581395 0.340435169consumption 115.8560604 30.76923077 27.90697674 0.472949351contrast 115.8560604 38.46153846 47.6744186 0.33074124contribution 115.8560604 23.07692308 13.95348837 0.384182764controlled 115.8560604 30.76923077 36.04651163 0.24955705convergence 115.8560604 15.38461538 3.488372093 0.72760579correlograms 115.8560604 15.38461538 1.162790698 0.970256959corresponds 115.8560604 23.07692308 5.813953488 0.503197119costly 115.8560604 23.07692308 4.651162791 0.544362328
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
create 115.8560604 15.38461538 86.04651163 0.214674085criteria 115.8560604 30.76923077 23.25581395 0.37295675decisions 115.8560604 15.38461538 37.20930233 0.4729184decreases 115.8560604 23.07692308 20.93023256 0.523922277depend 115.8560604 23.07692308 11.62790698 0.296670839depending 115.8560604 30.76923077 38.37209302 0.271745977detail 115.8560604 30.76923077 17.44186047 0.289729982differenced 115.8560604 15.38461538 1.162790698 0.970256959dreze 115.8560604 15.38461538 1.162790698 0.992521394effective 115.8560604 23.07692308 67.44186047 0.281916901efforts 115.8560604 30.76923077 20.93023256 0.404975912enough 115.8560604 30.76923077 89.53488372 0.172484232enrolment 115.8560604 15.38461538 1.162790698 0.903266624estimators 115.8560604 23.07692308 1.162790698 0.980063867extent 115.8560604 30.76923077 80.23255814 0.221441875faced 115.8560604 23.07692308 16.27906977 0.332280923finds 115.8560604 15.38461538 5.813953488 0.509740949fiscal 115.8560604 23.07692308 5.813953488 0.764260308fluctuations 115.8560604 23.07692308 4.651162791 0.632317299formation 115.8560604 23.07692308 33.72093023 0.393867169girls 115.8560604 15.38461538 6.976744186 0.750824084going 115.8560604 23.07692308 58.13953488 0.212013043goodness 115.8560604 15.38461538 1.162790698 0.736465313half 115.8560604 23.07692308 58.13953488 0.248096111hereafter 115.8560604 23.07692308 1.162790698 0.8191528homoskedasticity
115.8560604 15.38461538 1.162790698 0.992521394
immediately 115.8560604 38.46153846 17.44186047 0.283357159imports 115.8560604 23.07692308 6.976744186 0.704350199imposed 115.8560604 38.46153846 8.139534884 0.428951114improvement 115.8560604 30.76923077 25.58139535 0.39425286infer 115.8560604 23.07692308 2.325581395 0.660880167influencing 115.8560604 30.76923077 4.651162791 0.471884334informal 115.8560604 15.38461538 12.79069767 0.52289487initial 115.8560604 23.07692308 62.79069767 0.298998091instead 115.8560604 38.46153846 83.72093023 0.188729129interpretation 115.8560604 38.46153846 44.18604651 0.442376181investigated 115.8560604 23.07692308 16.27906977 0.453068162involves 115.8560604 30.76923077 40.69767442 0.307610996july 115.8560604 23.07692308 6.976744186 0.504950441kept 115.8560604 38.46153846 31.39534884 0.363546068latter 115.8560604 30.76923077 36.04651163 0.379341036left 115.8560604 30.76923077 82.55813953 0.291829305liabilities 115.8560604 15.38461538 4.651162791 0.771782174linked 115.8560604 23.07692308 50 0.247904177liquidity 115.8560604 15.38461538 3.488372093 0.773520462look 115.8560604 23.07692308 76.74418605 0.240968173looks 115.8560604 15.38461538 16.27906977 0.359979716make 115.8560604 30.76923077 97.6744186 0.184185672matrix 115.8560604 15.38461538 9.302325581 0.683179183
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
mentioned 115.8560604 23.07692308 68.60465116 0.229800185methodology 115.8560604 30.76923077 15.11627907 0.578090037mixed 115.8560604 30.76923077 13.95348837 0.489527052modern 115.8560604 23.07692308 59.30232558 0.462266439moreover 115.8560604 30.76923077 51.1627907 0.406646502multicollinearity 115.8560604 23.07692308 2.325581395 0.971786229needs 115.8560604 23.07692308 77.90697674 0.34948469objectives 115.8560604 15.38461538 24.41860465 0.490621717observable 115.8560604 23.07692308 1.162790698 0.658979553observe 115.8560604 23.07692308 11.62790698 0.380363351occur 115.8560604 30.76923077 63.95348837 0.345390444off 115.8560604 15.38461538 76.74418605 0.231016516others 115.8560604 30.76923077 88.37209302 0.257488181own 115.8560604 30.76923077 93.02325581 0.270550646path 115.8560604 23.07692308 19.76744186 0.454155866place 115.8560604 23.07692308 96.51162791 0.180398016predicts 115.8560604 15.38461538 3.488372093 0.664374891preferences 115.8560604 15.38461538 8.139534884 0.562681949pure 115.8560604 23.07692308 15.11627907 0.404377095quantity 115.8560604 23.07692308 19.76744186 0.493029514rather 115.8560604 23.07692308 98.8372093 0.202815437rationing 115.8560604 15.38461538 1.162790698 0.898201405remainder 115.8560604 23.07692308 1.162790698 0.590772742required 115.8560604 38.46153846 86.04651163 0.285898747requires 115.8560604 38.46153846 51.1627907 0.272674056researchers 115.8560604 23.07692308 22.09302326 0.627614043respect 115.8560604 30.76923077 53.48837209 0.267680579respective 115.8560604 23.07692308 4.651162791 0.410558227review 115.8560604 23.07692308 39.53488372 0.466875352right 115.8560604 15.38461538 87.20930233 0.341378456rise 115.8560604 30.76923077 54.65116279 0.322936413rules 115.8560604 30.76923077 52.3255814 0.416582482scheduled 115.8560604 15.38461538 2.325581395 0.661849951selected 115.8560604 23.07692308 23.25581395 0.410723453situations 115.8560604 38.46153846 31.39534884 0.37485181stabilisation 115.8560604 15.38461538 2.325581395 0.798930946stationarity 115.8560604 15.38461538 1.162790698 0.957799432status 115.8560604 15.38461538 65.11627907 0.350938885success 115.8560604 23.07692308 56.97674419 0.374694186sufficient 115.8560604 30.76923077 41.86046512 0.27247129survey 115.8560604 23.07692308 23.25581395 0.491810573swap 115.8560604 15.38461538 1.162790698 0.855242874target 115.8560604 15.38461538 37.20930233 0.481305478th 115.8560604 23.07692308 56.97674419 0.387762166urbanisation 115.8560604 23.07692308 1.162790698 0.806168303version 115.8560604 30.76923077 18.60465116 0.429835822volatility 115.8560604 15.38461538 2.325581395 0.77025637wages 115.8560604 23.07692308 10.46511628 0.608451372ways 115.8560604 30.76923077 80.23255814 0.232123443
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
Economics Level 4
whereas 115.8560604 30.76923077 70.93023256 0.248070532widely 115.8560604 23.07692308 27.90697674 0.221881338within 115.8560604 30.76923077 100 0.166739033
From the BAWE corpus www.coventry.ac.uk/bawe Created by Philip Durrant http://education.exeter.ac.uk/staff_details.php?user=pld203
