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Dynamic panel data models: a guide to microdata methods and practice
TLDR
In this article, the focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data, and the emphasis is on single equation models with autoregressive dynamics and explanatory variables.Abstract:
This paper reviews econometric methods for dynamic panel data models, and presents examples that illustrate the use of these procedures. The focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data. The emphasis is on single equation models with autoregressive dynamics and explanatory variables that are not strictly exogenous, and hence on the Generalised Method of Moments estimators that are widely used in this context. Two examples using firm-level panels are discussed in detail: a simple autoregressive model for investment rates; and a basic production function.read more
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Media consumption and crime trend perceptions: a longitudinal analysis
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The impact of trade liberalization and the fiscal equalization transfer policy on provincial income disparities in Canada: an application of GMM estimation
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Main Determinants of Profit-Sharing Policy in the French Life Insurance Industry
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Regional disparities in labour productivity and the role of capital stock
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