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TSCAPE: A Time Series of Consistent Accounts for Policy Evaluation Edward J. Balistreri Alan K. Fox U.S. International Trade Commission Washington, DC.

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Presentation on theme: "TSCAPE: A Time Series of Consistent Accounts for Policy Evaluation Edward J. Balistreri Alan K. Fox U.S. International Trade Commission Washington, DC."— Presentation transcript:

1 TSCAPE: A Time Series of Consistent Accounts for Policy Evaluation Edward J. Balistreri Alan K. Fox U.S. International Trade Commission Washington, DC

2 Introduction Construct consistent social accounts for United States  Cover 1978 to 2001  Aggregate to two-digit SIC level Draw on variety of data sources Calibrate data for internal consistency Preserve integrity of trade, GDP data

3 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)

4 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

5 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

6 TSCAPE Use Matrix Architecture

7 TSCAPE Make Matrix Architecture

8 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

9 Establish Consistency Value added matrix:no changes Merchandise trade:no changes Minimize loss function subject to  Zero profit condition  No excess demand  Income balance

10 Optimization Problem: Variables Free Variables GO i Gross output by industry IUse g,d Final demand by commodity and category (except trade) Φ i Scalar for total intermediate demand by industry Fixed Parameters TgtIUse g,d Target final demand by commodity and category TgtUse g,i Target intermediate use of commodity by industry Tgtξ d Aggregate final demand mix from NIPA accounts

11 Optimization Problem: Specification Subject to

12 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%)

13 Gross Domestic Product Billions of 1996 Dollars

14 Aggregate Imports and Exports Billions of 1996 Dollars

15 Relative Growth of Trade and Income Index, 1978 = 1.0

16 For More Information ebalistreri@usitc.gov http://www.georgetown.edu/faculty/ejb37/ afox@usitc.gov http://www-personal.umich.edu/~alanfox


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