Data and Code for "Artificial Intelligence Makes Firm Operating Performance Less Volatile"

Principal Investigator(s):  View help for Principal Investigator(s) Tania Babina, University of Maryland; Anastassia Fedyk, UC Berkeley; Alex He, University of Maryland; James Hodson, AI for Good Foundation

Version:  View help for Version V1

Name File Type Size Last Modified
ai_firm_map_new.dta application/x-stata-dta 9.7 MB 05/09/2025 06:08:AM
cashflow.do text/plain 3.5 KB 06/03/2025 06:18:AM
cz_employment_2005_2017.dta application/x-stata-dta 668.4 KB 05/09/2025 06:02:AM
cz_employment_2010.dta application/x-stata-dta 45 KB 01/26/2020 05:47:AM
instrument_firm_bartik_region_EU.dta application/x-stata-dta 202.3 KB 06/16/2020 12:33:PM
instrument_foreign_naics5_EU.dta application/x-stata-dta 124.1 KB 08/06/2020 06:10:PM
master.do text/plain 393 bytes 06/03/2025 06:02:AM
readme.pdf application/pdf 59.7 KB 06/03/2025 05:59:AM
regression_cashflow.do text/plain 13.9 KB 06/03/2025 06:15:AM
share_tech_qwi.dta application/x-stata-dta 7.4 KB 05/12/2020 07:53:AM

Project Citation: 

Babina, Tania, Fedyk, Anastassia, He, Alex, and Hodson, James. Data and Code for “Artificial Intelligence Makes Firm Operating Performance Less Volatile.” Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-06-05. https://doi.org/10.3886/E229021V1

Project Description

Summary:  View help for Summary This paper examines how AI investments are related to the second moment of firms' operating performance: the volatility of their sales, earnings, and cash flows.

Scope of Project

JEL Classification:  View help for JEL Classification
      D22 Firm Behavior: Empirical Analysis
      E22 Investment; Capital; Intangible Capital; Capacity
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      O33 Technological Change: Choices and Consequences; Diffusion Processes


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Published Versions

V1 [2025-06-05]

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