Income and Price Elasticities of Croatian Trade A Panel Data Approach by Vida Bobic - PowerPoint PPT Presentation

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Income and Price Elasticities of Croatian Trade A Panel Data Approach by Vida Bobic

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Discussant: K. Zigic CERGE-EI Prague, Czech Republic. The Fifteenth Dubrovnik ... to those exports makes the construction of a single tariff indicator very difficult' ... – PowerPoint PPT presentation

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Title: Income and Price Elasticities of Croatian Trade A Panel Data Approach by Vida Bobic


1
Income and Price Elasticities of Croatian Trade
A Panel Data Approachby Vida Bobic
The Fifteenth Dubrovnik Economic
Conference Organized by the Croatian National
Bank
  • Discussant K. Zigic CERGE-EI Prague, Czech
    Republic

2
Summary of the Paper
  • Objective
  • analysis of factors determining Croatian
    merchandise trade
  • Motivation large trade deficits of Croatia
  • Methodology
  • Panel data for 2000-2007, sectoral level (30 NCEA
    sectors)
  • Models with lagged explained variable estimated
    by Arellano Bond (1991) methodology
  • Domestic and foreign commodities treated as
    imperfect substitutes
  • Independent estimates of export and import
    function
  • Imports assumed to depend on domestic GDP, import
    price, tariffs, exchange rate
  • Exports function of world GDP, export price, and
    exchange rate
  • Croatia treated as a small country

3
Comments (1) Motivation
  • Page 1
  • current account deficit. This deficit is, in
    turn, for the most part a consequence of a large
    deficit in merchandise trade
  • Small conceptual objection
  • Deep current account deficits are mostly results
    of deeper macroeconomic disequilibria
  • While Croatia indeed has deep trade deficit, the
    current account deficit is lower thanks to
    services account

4
Current Accounts of Selected New EU Members of
GDP
Source World Development Indicators
5
Comments (2) Econometric Methodology
  • Page 9, equation 2 demonstration of Arellano
    Bond framework
  • Shouldnt the equation include ?xit instead of
    xit ?
  • Could Blundell Bond (1998) further improve the
    methodology?

6
Comments (3a) Variables
  • Tariffs omitted from export equation because
  • The very large number of countries to which
    goods are being exported and the resulting
    equally large number of different tariffs being
    applied to those exports makes the construction
    of a single tariff indicator very difficult
  • But EU accounts for about 60 of Croatian
    exports and it has common tariff schedule
  • How about using the EU common tariff as proxy?

7
Comments (3b) Variables
  • Tariff measure used in the import equation is
    derived as tariff revenues / total value of
    imports
  • Problem interaction between tariff rate and
    volume of imports, higher protection does not
    always mean higher revenue from the tariff
  • Possible solution
  • Simple non-weighted average tariffs are often
    used in trade literature (they are imperfect too,
    but may lead to less biased results in the
    presence of highly protected sectors)

8
Conclusion
  • Author met the main objective (estimation of
    income and price elasticities)
  • Estimates are made with the use of more reliable
    methodology than many previous applied papers
    (simple fixed effects or OLS are not uncommon)
  • Results seem to be in line with both previous
    estimates and expectations. However, look more
    into the issue of quality upgrading

9
References
  • Arellano, M., Bond, S. (1991). Some tests of
    specification for panel data Monte Carlo
    evidence and application to employment equations.
    Review of Economic Studies, 58, 227297.
  • Blundell, R. W., Bond, S. R. (1998). Initial
    conditions and moment restrictions in dynamic
    panel data model. Journal of Econometrics, 87,
    115143.
  • World Bank World Development Indicators
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