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Name File Type Size Last Modified
  AEJMacro-2010-0019-data 10/25/2021 01:49:PM
LICENSE.txt text/plain 14.6 KB 10/12/2019 05:04:PM

Project Citation: 

Nekarda, Christopher J., and Ramey, Valerie A. Replication data for: Industry Evidence on the Effects of Government Spending. Nashville, TN: American Economic Association [publisher], 2011. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114192V1

Project Description

Summary:  View help for Summary This paper investigates the effects of government purchases at the industry level in order to shed light on the transmission mechanism for government spending on the aggregate economy. We create a new panel dataset that matches output and labor variables to industry-specific shifts in government demand. An increase in government demand raises output and hours, lowers real product wages and labor productivity, and has no effect on the markup. The estimates also imply approximately constant returns to scale. The findings are more consistent with the effects of government spending in the neoclassical model than the textbook New Keynesian model. (JEL E12, E23, E62, H50)

Scope of Project

Subject Terms:  View help for Subject Terms productivity; manufacturing; government spending; markups
JEL Classification:  View help for JEL Classification
      E12 General Aggregative Models: Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
      E23 Macroeconomics: Production
      E62 Fiscal Policy
      H50 National Government Expenditures and Related Policies: General
Geographic Coverage:  View help for Geographic Coverage U.S.
Time Period(s):  View help for Time Period(s) 1958 – 2005
Universe:  View help for Universe manufacturing industries
Data Type(s):  View help for Data Type(s) survey data; census/enumeration data

Methodology

Data Source:  View help for Data Source NBER-CES Manufacturing Industry Database (https://data.nber.org/nberces/)
Unit(s) of Observation:  View help for Unit(s) of Observation industry-year,

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