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Unequal spacing in dynamic panel data: Identification and estimation

Sasaki, Yuya and Xin, Yi (2017) Unequal spacing in dynamic panel data: Identification and estimation. Journal of Econometrics, 196 (2). pp. 320-330. ISSN 0304-4076.

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We propose conditions under which parameters of fixed-effect dynamic models are identified with unequally spaced panel data. Under predeterminedness, weak stationarity, and empirically testable rank conditions, AR(1) parameters are identified given the availability of “two pairs of two consecutive time gaps”, which generalizes “two pairs of two consecutive time periods”. This result extends to models with multiple covariates, higher-order autoregressions, and partial linearity. Applying our method to the NLS Original Cohorts: Older Men, where personal interviews took place in 1966, 67, and 69, we analyze the earnings dynamics in the old time, and compare the results with more recent ones.

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Additional Information:© 2016 Elsevier. Received 20 May 2015, Revised 23 January 2016, Accepted 17 October 2016, Available online 31 October 2016. An associate editor and three anonymous referees contributed much to this paper. We are indebted to them. We also benefited from very useful comments obtained in New York Camp Econometrics 2014, AMES 2014, and International Panel Data Conference 2014. The usual disclaimer applies.
Subject Keywords:Dynamic panel data; Earnings dynamics; Unequal spacing
Issue or Number:2
Classification Code:JEL classification C23
Record Number:CaltechAUTHORS:20180613-095307836
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Official Citation:Yuya Sasaki, Yi Xin, Unequal spacing in dynamic panel data: Identification and estimation, Journal of Econometrics, Volume 196, Issue 2, 2017, Pages 320-330, ISSN 0304-4076, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87054
Deposited By: George Porter
Deposited On:13 Jun 2018 21:00
Last Modified:03 Oct 2019 19:51

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