Agricultural Trade Bias in Exchange Rate Volatility Effect Estimation: An Application of Meta-Regression Analysis
AbstractEconometric estimates of the effect of exchange rate volatility on international trade are mixed and often wildly divergent, resulting in an ambiguous average effect. It is hypothesized that agricultural trade in particular is more sensitive to exchange rate volatility resulting in more consistent effect estimates. Meta-regression analysis is performed on a sample of 351 econometric exchange rate effect estimates, controlling for study specific characteristics including identification of agricultural sector studies. Results indicate that agricultural trade studies report more consistently significant and negative estimates than non-agriculture or aggregate trade studies, revealing a less ambiguous effect in this sector.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington with number 124870.
Date of creation: 2012
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agricultural trade; exchange rate uncertainty; meta-regression analysis; International Relations/Trade; Research Methods/ Statistical Methods; C83; F10; F31;
Find related papers by JEL classification:
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- F10 - International Economics - - Trade - - - General
- F31 - International Economics - - International Finance - - - Foreign Exchange
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-06-25 (All new papers)
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