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First-differencing in panel data models with incidental functions

Abstract : I discuss the fixed-effect estimation of panel data models with time-varying excess heterogeneity across cross-sectional units. These latent components are not given a parametric form. A modification to traditional first-differencing is motivated which, asymptotically, removes the permanent unobserved heterogeneity from the differenced model. Conventional estimation techniques can then be readily applied. Distribution theory for a kernel-weighted GMM estimator under large-n and fixed-T asymptotics is developed. The estimator is put to work in a series of numerical experiments to static and dynamic models.
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Preprints, Working Papers, ...
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Submitted on : Monday, September 29, 2014 - 11:59:33 AM
Last modification on : Tuesday, March 22, 2022 - 3:34:48 AM
Long-term archiving on: : Tuesday, December 30, 2014 - 11:01:35 AM


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Koen Jochmans. First-differencing in panel data models with incidental functions. {date}. ⟨hal-01069454⟩



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