TSCAPE: A Time Series of Consistent Accounts for Policy Evaluation Part II: Testing Edward J....
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Transcript of TSCAPE: A Time Series of Consistent Accounts for Policy Evaluation Part II: Testing Edward J....
TSCAPE: A Time Series of Consistent Accounts for Policy
EvaluationPart II: Testing
Edward J. BalistreriAlan K. FoxU.S. International Trade
CommissionWashington, DC
Introduction
Construct consistent social accounts for United States Cover 1978 to 2001 Aggregate to two-digit SIC level
Basic one-country model for analysis Testing the Armington
Data Sources for TSCAPE:U.S. Department of Commerce Bureau of Economic Analysis (BEA)
Value added by factor and sector (approx. 2-digit) Benchmark IO tables (1982, 1987, 1992, 1997) National Income and Product Accounts (NIPA)
Trade Policy Information System (TPIS) Trade by TSUS, Schedule B (1978-1988) Trade by HTS 10-digit (1989-2001)
Scope of TSCAPE
Defined by quantity index for GDP by industry (GDPI) Available at 2-digit level From 1977 to present
Defined by TPIS Highly disaggregated Available from 1978 to present
Discontinuity in Trade Data
1978 to 1988: TSUS, Sch. B to SIC 4 digit Based on DOC concordance Only half of lines originally mapped to SIC DOC concordance substantially revised and
extended by authors 1989 to 2001: HTS10 to SIC 4 digit
DOC concordance used unchanged No handshake between TSUS and HTS10 Discontinuity between 1988 and 1989
TSCAPE Use Matrix Architecture
C+I+G Use
Value Added
Gross Make
Gross Output
Mer
chan
dise
Tr
ade
Final Demand
Fact
ors
Goo
ds
Industry
Srv
.
Trad
e
TSCAPE Make Matrix Architecture
Make Gross Output
Gross Make
Indu
strie
s Goods
Establish Consistency
Value added matrix: no changes Merchandise trade: no changes
Minimize loss function subject to Zero profit condition No excess demand Income balance
Resulting Baseline
Labor’s value share of GDP averages 58% Imports’ share of GDP grew from 7% to 16% Exports’ share of GDP grew from 6% to 12% Protection fell dramatically in some sectors
Electronic Equipment (down by 86%) Industrial Machinery (down by 88%)
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Billi
ons
of 1
996
dolla
rs
Labor Income
Other Value Added
Gross Domestic ProductBillions of 1996 Dollars
Aggregate Imports and ExportsBillions of 1996 Dollars
0
200
400
600
800
1000
1200
1400
1600
1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Bill
ions
of 1
996
dolla
rs
export import
Relative Growth of Trade and IncomeIndex, 1978 = 1.0
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Inde
x (1
978
equa
ls o
ne)
GDP Imports Exports
The TSCAPE Model
Single country static general equilibrium Each year independent (no intertemporal
linkage) Final demand
Household with Cobb-Douglas utility Government Spending and Investment fixed
Production a nested CES function Factor supplies (K,L) fixed
Trade balance fixed
Production
j
Make coefficients from the socialaccounts determine commodityoutputs Dji (i = 1,...,n) in fixedproportion to sectoral output Xj.
0
0
Xj
Commodity Outputs(Dj1, ... , Djn)
Intermediate Inputs(A1j, ... , Anj)
VAj
Lj Kj
Sectoral output Xj uses fixedproportions of value added VAjand intermediate composite inputsAij (i=1,...,n).
Value added VAj is a CESfunction of labor Lj andcapital Kj, inputs to sector j.
Product and Commodity Structure
Ai
DDi IM1 ... IMn
i
Aggregation of domesticand imported goods
Di
i
Disaggregation of domesticcommodity output
DDi EXi,1 ... EXi,n
Experiment Structure
Set distortions to level in 1979 (Tokyo Round phase-in begins in 1980)
Roll back all liberalization 1980-2001 Set tau (elasticity of transformation) high so
that Armington “carries the freight” Vary sigma, Armington elasticity Goal: Match import growth to GDP growth
Relative Growth of Trade and IncomeIndex, 1978 = 1.0
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Inde
x (1
978
equa
ls o
ne)
GDP Imports Exports
Measure of Fit:Squared Error of GDP and ImportsSigma
(Armington)Tau
(CET)Measure
of Fit
5 100 15.77
10 100 9.8320 100 3.78
30 100 1.68
40 100 1.08
Removal of LiberalizationSigma=5, Tau=100, MOF=15.77
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5 10 15 20
trade growth
GDP_indeximp_histimp_scn
Removal of LiberalizationSigma=40, Tau=100, MOF=1.08
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5 10 15 20
trade growth
GDP_indeximp_histimp_scn
For More Information
[email protected] http://www.georgetown.edu/faculty/ejb37/
[email protected] http://www-personal.umich.edu/~alanfox
Construction of Social Accounts Calculate Complete VA matrix with GDPI data on factor
payment shares by industry Aggregate GDP is then consistent with NIPA
Calculate real intermediate purchases by sector If qUse available, If not, use interpolated BEA IO data
Build Make matrix Convert to coefficients, interpolate Multiply by real gross output from GDPI
Calculate final demand components
1996 real iii GDPqVAGDP
1996igiig UseqUseTgtUse ,,
Optimization Problem: VariablesFree VariablesGOi Gross output by industry
IUseg,d Final demand by commodity and category (except trade)
Φi Scalar for total intermediate demand by industry
Fixed ParametersTgtIUseg,d Target final demand by commodity and category
TgtUseg,i Target intermediate use of commodity by industry
Tgtξd Aggregate final demand mix from NIPA accounts
Optimization Problem: Specification
d g dgdg dgg dgd
g i igigiig
g d dgdgdg
TGTIUSETGTTGTIUSETGTIUSETGT
TGTUSETGTUSETGTUSE
TGTIUSEIUSETGTIUSE
21
21
21
,,,
,,,
,,,
Subject to
f i ifd g dg
d dgi igii igi
f ifg igii
ValueAddedIUSE
IUSETGTUSEGOMakeCoef
ValueAddedTGTUSEGO
,,
,,,
,,