2021
DOI: 10.1016/j.econmod.2021.01.014
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Inference on time-invariant variables using panel data: A pretest estimator

Abstract: For static panel data models that include endogenous time-invariant variables correlated with individual e¤ects, exogenous averages over time of time-varying variables can be internal instruments. To pretest their exogeneity, we …rst estimate a random e¤ects model that includes all averages over time of time-varying variables (Mundlak, 1978;Krishnakumar, 2006). Internal instruments are then selected if their parameter is statistically di¤erent from zero (Mundlak, 1978;Hausman and Taylor, 1981). Finally, we est… Show more

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Cited by 10 publications
(12 citation statements)
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“…Table A3 in the Appendix reports the results of the first step of the estimation procedure, following Chatelain and Ralf (2021). It identifies those time-variant variables that can be treated as endogenous in the HT model.…”
Section: Resultsmentioning
confidence: 99%
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“…Table A3 in the Appendix reports the results of the first step of the estimation procedure, following Chatelain and Ralf (2021). It identifies those time-variant variables that can be treated as endogenous in the HT model.…”
Section: Resultsmentioning
confidence: 99%
“…Defining potential endogenous and exogenous time-variant variables in the HT model, requires adopting Chatelain and Ralf's (2021) two-step procedure. This procedure identifies the nature of the variables in the model and avoids possible variable bias.…”
Section: Empirical Strategymentioning
confidence: 99%
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“…in which α i is the effect associated with the region-random effect-, and f β, X ð Þ are the characteristics associated with the situation and the region that changes its behavior. Assuming that the region effect (α i ) is constant during the studied period, in R it ¼ ln y it ð ÞÀln y i,tÀ1 À Á , the individual effect does not appear and, therefore, the model to adjust for panel data with some time-invariant covariates included in the vector x i (Chatelain & Ralf, 2021) and more than two measurements in time, is given by:…”
Section: Methodsmentioning
confidence: 99%
“…Static panel data analysis takes time series and cross-sectional data into account concurrently. There are two variations in static panel data models: fixed effects and random effects (Chatelain and Ralf, 2021). Several unobservable factors were linked with the explanatory variables in the method based on fixed effects.…”
Section: Model Specificationsmentioning
confidence: 99%