2014年-IMF国际货币组织全球_Quality_Trade_and_Exchange_Rate_Pass_58页_486kb

Summary of "Quality, Trade, and Exchange Rate Pass-Through"

Core Content

This paper explores the heterogeneous response of exporters to real exchange rate fluctuations, with a focus on the role of product quality. It combines theoretical modeling with empirical analysis using detailed firm-level data from the Argentinean wine export industry between 2002 and 2009.

Main Viewpoints

1. Theoretical Model

• Objective: To investigate how real exchange rate changes affect pricing and quantity decisions of exporters, particularly in the context of product quality.
• Key Assumptions:
  • Firms produce multiple products with varying levels of quality.
  • Consumers prefer higher quality products, and this preference is influenced by per capita income.
  • There are local distribution costs in the importing country, which are paid in the local currency and are unaffected by exchange rate changes.
• Model Predictions:
  • The elasticity of demand for a product decreases with its quality and with real depreciation.
  • Higher quality products see a larger increase in pricing-to-market and a smaller response in export volumes to real depreciation.
  • In high-income countries, the effect of quality on pass-through is more pronounced.

2. Empirical Analysis

• Data Source:
  • Argentinean firm-level export data (customs records) with detailed product information (name, grape, type, vintage).
  • Expert wine ratings (Wine Spectator and Robert Parker) used as a direct measure of quality.
• Key Findings:
  • Exchange rate pass-through is significant, with an average of 89% in the baseline regression.
  • Higher quality wines are associated with higher prices.
  • The response of export prices to exchange rate changes increases with quality, while the response of export volumes decreases.
  • These results are robust across different measures of quality, samples, and specifications.
  • The effect of quality on pass-through is stronger in high-income destination countries.

3. Quality and Aggregation Bias

• Aggregation Bias:
  • The paper investigates whether pass-through estimates suffer from aggregation bias.
  • It finds that as data becomes more aggregated, the estimated pass-through decreases, suggesting that aggregate pass-through estimates are biased downwards.
• Endogeneity of Quality:
  • The potential endogeneity of quality is addressed using instruments based on geography and weather-related factors.
  • These instruments help ensure that the results are not driven by reverse causality or omitted variable bias.

Key Information

• Methodology:
  • A theoretical model is extended from previous work to incorporate firm-level quality heterogeneity.
  • The model is tested using firm-level export data and expert wine ratings.
• Policy Implications:
  • The findings suggest that exchange rate policy should consider the role of product quality in shaping trade responses.
  • Incomplete pass-through is more pronounced for high-quality goods, which may affect the effectiveness of monetary and exchange rate policies.
• Data Disaggregation:
  • The paper uses highly disaggregated data, distinguishing between different wine types, grape varieties, and vintages.
  • This level of detail allows for more accurate measurement of product quality and pricing behavior.
• Comparative Analysis:
  • The results are compared to previous studies, which often use aggregated or industry-level data.
  • The paper highlights the importance of firm-level data in understanding the nuances of exchange rate pass-through.

Conclusion

The paper finds strong support for the theoretical model in the empirical data, showing that higher quality products exhibit more pricing-to-market behavior and less responsiveness in export volumes to real exchange rate changes. The results are robust to various measures and specifications, and they emphasize the role of quality in shaping trade responses. Additionally, the paper highlights the presence of aggregation bias in exchange rate pass-through estimates, underscoring the need for more detailed data in empirical analyses.

References to Related Literature

• Pricing-to-Market: Berman and others (2012), Chatterjee and others (2013), Corsetti and Dedola (2005).
• Quality and Trade: Crinò and Epifani (2012), Hallak (2006), Manova and Zhang (2012a), Kugler and Verhoogen (2012), Verhoogen (2008).
• Exchange Rate Pass-Through: Goldberg and Knetter (1997), Knetter (1989, 1993), Nakamura and Steinsson (2012).

Tables Mentioned

• Table 1: Harmonized System (HS) Classification Codes.
• Table 2: Summary Statistics on Trade Data by Year.
• Table 3: Summary Statistics.
• Table 4: Top Export Destinations 2002-2009.
• Table 5: Experts Ratings.
• Table 6: Snapshot of the Data.
• Table 7: Price Breakdown for Non-EU Wine sold in Retail Outlets in the UK.
• Table 8: Baseline Results.
• Table 9: Local Distribution Costs.
• Table 10: Heterogeneity across Destination Countries.
• Table 11: Aggregation Bias.
• Table 12: Unit Values: Robustness on Quality.
• Table 13: Export Volumes: Robustness on Quality.
• Table 14: Robustness for Unit Values.
• Table 15: Robustness for Export Volumes.