CENTRAL LIMIT THEORY FOR COMBINED CROSS SECTION AND TIME SERIES WITH AN APPLICATION TO AGGREGATE PRODUCTIVITY SHOCKS

dc.contributor.authorHahn, Jinyong
dc.contributor.authorKuersteiner, Guido
dc.contributor.authorMazzocco, Maurizio
dc.date.accessioned2023-09-18T17:59:59Z
dc.date.available2023-09-18T17:59:59Z
dc.date.issued2022-09-19
dc.description.abstractCombining cross-sectional and time-series data is a long and well-established practice in empirical economics. We develop a central limit theory that explicitly accounts for possible dependence between the two datasets. We focus on common factors as the mechanism behind this dependence. Using our central limit theorem (CLT), we establish the asymptotic properties of parameter estimates of a general class of models based on a combination of cross-sectional and time-series data, recognizing the interdependence between the two data sources in the presence of aggregate shocks. Despite the complicated nature of the analysis required to formulate the joint CLT, it is straightforward to implement the resulting parameter limiting distributions due to a formal similarity of our approximations with Murphy and Topel’s (1985, Journal of Business and Economic Statistics 3, 370–379) formula.
dc.description.urihttps://doi.org/10.1017/S0266466622000391
dc.identifierhttps://doi.org/10.13016/dspace/lle5-bnfy
dc.identifier.citationHahn, J., Kuersteiner, G., & Mazzocco, M. (2022). CENTRAL LIMIT THEORY FOR COMBINED CROSS SECTION AND TIME SERIES WITH AN APPLICATION TO AGGREGATE PRODUCTIVITY SHOCKS. Econometric Theory, 1-51.
dc.identifier.urihttp://hdl.handle.net/1903/30525
dc.language.isoen_US
dc.publisherCambridge University Press
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtEconomicsen_us
dc.relation.isAvailableAtCollege of Behavioral and Social Sciencesen_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.titleCENTRAL LIMIT THEORY FOR COMBINED CROSS SECTION AND TIME SERIES WITH AN APPLICATION TO AGGREGATE PRODUCTIVITY SHOCKS
dc.typeArticle
local.equitableAccessSubmissionNo

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