Temporal Disaggregation of Business Dynamics: New Evidence for U.S. Economy
Lorenza Rossi and
Emilio Zanetti Chini ()
No 188, Working Papers in Public Economics from University of Rome La Sapienza, Department of Economics and Law
We provide new disaggregated data and stylized facts on firm dynamics of the U.S economy by using a state-space method to transform Census yearly data of entry and exit from 1977 to 2013 into quarterly frequency. Entry is lagging and symmetric, while exit is leading and asymmetric along the business cycle. We select the most significant determinants of these variables by matching Census data with a new database by Federal Reserve. These determinants differ considerably among entry and exit. Finally, standard macroeconometric models estimated on our disaggregated series support the recent theoretical literature, according to which the cleansing effect of recession is mainly due to exit asymmetry.
Keywords: Bayesian VAR; Firms and Establishments; Productivity; State-Space Models (search for similar items in EconPapers)
JEL-codes: C13 C32 C40 E30 E32 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-bec, nep-ets, nep-mac and nep-sbm
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Journal Article: Temporal disaggregation of business dynamics: New evidence for U.S. economy (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:sap:wpaper:wp188
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