CORDIS Project
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This project addresses the challenges of unobserved heterogeneity in nonlinear econometric models. It aims to evaluate bias correction methods and explore dynamic discrete choice models to improve the reliability of econometric analyses in applied research.
Unobserved heterogeneity is an important factor to take into account when making inference based on micro-data.
In linear panel data models it is well known how to control for permanent unobserved heterogeneity in a robust way, i.e. without assuming any parametric distribution of the heterogeneity on the population.
In contrast the problem is much more difficult in nonlinear models. A significant part of the research on microeconometrics in the recent years has been about dealing with this issue…
UNIVERSIDAD CARLOS III DE MADRID
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