Grouped Patterns of Heterogeneity in Panel Data
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Grouped-patterns-Bonhomme_Manresa-Quirante.pdf
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1.38 MB
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Author(s)
Bonhomme, Stéphane
Manresa Quirante, Elena
Date Issued
June 2015
Journal
Econometrica
Publisher
The Econometric Society
Citation
Bonhomme, Stéphane, and Manresa, Elena. “Grouped Patterns of Heterogeneity in Panel Data.” Econometrica 83, 3 (May 2015): 1147–1184 © 2015 The Econometric Society
Version
Author's final manuscript
Abstract
This paper introduces time-varying grouped patterns of heterogeneity in linear panel data models. A distinctive feature of our approach is that group membership is left unrestricted. We estimate the parameters of the model using a “grouped fixed-effects” estimator that minimizes a least squares criterion with respect to all possible groupings of the cross-sectional units. Recent advances in the clustering literature allow for fast and efficient computation. We provide conditions under which our estimator is consistent as both dimensions of the panel tend to infinity, and we develop inference methods. Finally, we allow for grouped patterns of unobserved heterogeneity in the study of the link between income and democracy across countries.
MIT Department
Sloan School of Management
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.3982/ecta11319
