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Inverse Probability Weighted Generalised Empirical Likelihood Estimators: Firm Size and R&D Revisited

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  • Inkmann, J.

    (Tilburg University, Center for Economic Research)

Abstract

The inverse probability weighted Generalised Empirical Likelihood (IPW-GEL) estimator is proposed for the estimation of the parameters of a vector of possibly non-linear unconditional moment functions in the presence of conditionally independent sample selection or attrition.The estimator is applied to the estimation of the firm size elasticity of product and process R&D expenditures using a panel of German manufacturing firms, which is affected by attrition and selection into R&D activities.IPW-GEL and IPW-GMM estimators are compared in this application as well as identification assumptions based on independent and conditionally independent sample selection.The results are similar in all specifications.

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2005-131.

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Date of creation: 2005
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Handle: RePEc:dgr:kubcen:2005131

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Related research

Keywords: research and development; generalised emperical likelihood; inverse probability weighting; propensity score; conditional independence; missing at random; selection; attrition;

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