Convergence in panel data: Evidence from the skipping estimation


Autoria(s): Shioji, Etsuro
Contribuinte(s)

Universitat Pompeu Fabra. Departament d'Economia i Empresa

Data(s)

15/09/2005

Resumo

This paper demonstrates that, unlike what the conventional wisdom says, measurement error biases in panel data estimation of convergence using OLS with fixed effects are huge, not trivial. It does so by way of the "skipping estimation"': taking data from every m years of the sample (where m is an integer greater than or equal to 2), as opposed to every single year. It is shown that the estimated speed of convergence from the OLS with fixed effects is biased upwards by as much as 7 to 15%.

Identificador

http://hdl.handle.net/10230/997

Idioma(s)

eng

Direitos

L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons

info:eu-repo/semantics/openAccess

<a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a>

Palavras-Chave #Macroeconomics and International Economics #income convergence #panel data estimation #skipping estimation #measurement error biases #small sample biases
Tipo

info:eu-repo/semantics/workingPaper