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From Estimation Results to Stylized Facts: Twelve Recommendations for Empirical Research in International Activities of Heterogeneous Firms

In: Microeconometrics of International Trade

Author

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  • Joachim Wagner

Abstract

Heterogeneous firms are at the heart of both the New New International Trade Theory and the Micro-econometrics of International Firm Activities. One important aim of microeconometric studies is to uncover stylized facts that hold over space and time, and that can both inspire theoretical models that are based on “realistic” assumptions, and inform policy debates in an evidence-based way. Which results from the thousands of empirical estimates reported in the literature on the microeconometrics of international firm activities do we consider as convincing? Based on my own experience from the last 20 years, I use the opportunity of this chapter to make 12 recommendations that, hopefully, will help to find the right way on the thorny road from estimation results to stylized facts. I will deal with the following topics: comparisons of means vs. comparisons of distributions; extremely different firms, or outliers; unobserved heterogeneity; simultaneous occurrence of differences across quantiles, outliers, and unobserved heterogeneity; heterogeneous effects of international firm activities on firm performance; replication; within-study replication by international research teams; meta-analysis; and talking to practitioners.

Suggested Citation

  • Joachim Wagner, 2016. "From Estimation Results to Stylized Facts: Twelve Recommendations for Empirical Research in International Activities of Heterogeneous Firms," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 15, pages 479-514, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789813109698_0015
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    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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