ardl-kkOYCKtRANSFORMATION

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University 1 Pongsa Pornchaiwiseskul Faculty of Economics Chulalongkorn University (c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University 2 (c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University 3 –Koyck Polynomial DL (PDL) (c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University 4 A form of short-term model Explanatory variables – lagged values of dependent variable – current and lagged values of exogenous variables Three components – Auto-Regressive part – Distributed-Lag part – random part Printed with FinePrint - purchase at www.fineprint.com

description

ARDL

Transcript of ardl-kkOYCKtRANSFORMATION

Page 1: ardl-kkOYCKtRANSFORMATION

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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Pongsa PornchaiwiseskulFaculty of Economics

Chulalongkorn University

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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–Koyck–Polynomial DL (PDL)

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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• A form of short-term model• Explanatory variables

– lagged values of dependent variable– current and lagged values of exogenous variables

• Three components– Auto-Regressive part– Distributed-Lag part– random part

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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t

pKtKpKKtKKKtK

ptptt

ptptt

ptpttt

XXX

XXXXXX

YYYY

ε

βββ

βββ

βββ

φφφφ

+

++++

++++

++++

++++=

−−

−−

−−

−−−

...

...

...

...

,,1,10

2,22,21,221220

1,11,11,111110

22110

M

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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Effect of current Xk at time t on Y is distributed over pk periods.

βk0 = Current or short-run effect of Xk on Yβkj = j-period delayed effect of Xk on Yβk = total or long-run effect of Xk on Ywhere

pkkkkk ,10 ... ββββ +++=

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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Note that OLS is valid as lagged Y can beuncorrelated with the error term. If the random part is auto-correlated error terms, OLS becomes invalid. No problem with DL models (without AR part).

Without restriction on parameters, there will be too many parameters (β), especially for very long lag.

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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• No lagged Y on the right-hand side.• Only one X• error terms could be ARMA• Declining effect over infinite lag or• Restriction on βkj

( )

,...1,0 ,10 , 0 =<<= jjj λβλβ

∞=pk

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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Lag (j)

βkj

βk0

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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1010

1001

00

100

2200

202

1000

1100

)1()1(

)1()1()1()1(

...)1(

...

...

−−

−−

−−

−−

−+++−=−++−=−−++−=−

+−+=

+++++=

+++++=

+++++=

ttttt

ttttt

ttt

tt

tt

tttt

tptpttt

XYYXYY

LXYLXL

XLLXXX

XXXY

λεεβλλφλεεβλφλ

ελβλφλελβφ

ελλβφ

εβλλββφ

εβββφ

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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EstimationStep 0 GuessStep 1 Estimate for

Step 2 Use new and go back to Step 1 until convergence

1001 )1(ˆ−− −++−=− ttttt XYY λεεβλφλ

λ̂),,( 00 λβφ

λ̂

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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• No lagged Y on the right-hand side.• Allow more than one X• error terms could be ARMA• polynomial effect over finite lag • Restriction on βkj

,...,1,0 ,

...2210

pjpmjjj m

mj

=<<

++++= γγγγβ

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

13t

22

10

3210

2210

1210

00

1100

)...(

)3...93(

)2...42(

)...(

...

ε

γγγγ

γγγγ

γγγγ

γγγγγφ

εβββφ

+

+++++

+++++

+++++

++++++=

+++++=

−−

ptmm

tmm

tmmtm

t

tptpttt

Xppp

XX

XX

XXXY

M

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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( )( )( )( )

( )t

21

3213

2212

211

10

0

...2

...8

...4

...2

...

ε

γ

γ

γ

γ

γφ

+

++++

++++

++++

++++

++++=

−−−

−−−

−−−

−−−

−−

ptm

tm

tm

pttt

pttt

pttt

pttt

t

XpXX

XpXX

XpXX

pXXXXXX

Y

M

tZ0

mtZ

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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t2211000 ... εγγγγφ ++++++= mtmtttt ZZZZY

==> Unrestricted OLS is BLUE

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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0)1(... nRestrictio

0 Case

210

1

=−+++−

=−

mmγγγγ

β

Effect starts from zero==> Restricted LS is BLUE

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(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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0)1(...

)1()1( nRestrictio

0 Case

22

10

1

=+++

++++

=+

mm

p

ppp

γ

γγγ

β

Effect dies down to zero.==> Restricted LS is BLUE

(c) Pongsa Pornchaiwiseskul, Faculty of Economics, Chulalongkorn University

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0)1(...

)1()1(

0)1(... nsRestrictio

0,0 Case

22

10

210

11

=+++

++++

=−+++−

== +−

mm

mm

p

ppp

γ

γγγ

γγγγ

ββ

Effect starts from zero and finally back to zero. ==> Restricted LS is BLUEPrinted with FinePrint - purchase at www.fineprint.com