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On the degree of homogeneity in dynamic heterogeneous panel data models

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  • Offermanns, Christian J.

Abstract

We propose a semi-parametric approach to heterogeneous dynamic panel data modelling. The method generalizes existing approaches to model cross-section homogeneity within such panels. It allows for partial influence of other cross-section units on estimated coefficients, differentiating between short-run and long-run homogeneity, and determines the optimal degree of such homogeneity. The issue of cross-section homogeneity emerges as a special case of categorical conditioning. Applying our model to equilibrium exchange rate determination in a cross-country panel, we find evidence of largely heterogeneous adjustment and more homogeneous long-run coefficients across countries. The coefficient heterogeneity appears largely idiosyncratic and is not captured by simple categorizations like exchange rate regime classification.

Suggested Citation

  • Offermanns, Christian J., 2014. "On the degree of homogeneity in dynamic heterogeneous panel data models," Discussion Papers 2014/25, Free University Berlin, School of Business & Economics.
  • Handle: RePEc:zbw:fubsbe:201425
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    More about this item

    Keywords

    dynamic panel data models; coefficient homogeneity; non-parametric estimation; equilibrium exchange rates;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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