Shioji, EtsuroUniversitat Pompeu Fabra. Departament d'Economia i Empresa2017-07-262017-07-261997-08-01http://hdl.handle.net/10230/997This 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%.application/pdfengL'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commonsinfo:eu-repo/semantics/workingPaperincome convergencepanel data estimationskipping estimationmeasurement error biasessmall sample biasesMacroeconomics and International Economicsinfo:eu-repo/semantics/openAccess