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  calibration 01/11/2021 08:09:AM
  empirics 01/11/2021 08:08:AM
  simulation 01/11/2021 08:19:AM
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Project Citation: 

Chodorow-Reich, Gabriel , Nenov, Plamen T., and Simsek, Alp. Data and Code for “Stock Market Wealth and the Real Economy: A Local Labor Market Approach.” Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-04-09. https://doi.org/10.3886/E123521V1

Project Description

Summary:  View help for Summary This data archive contains the data and programs necessary to replicate the empirical and numerical analyses in the paper "Stock Market Wealth and the Real Economy: A Local Labor Market Approach."

The paper provides evidence of the stock market wealth effect on consumption by using a local labor market analysis and regional heterogeneity in stock market wealth. An increase in local stock wealth driven by aggregate stock prices increases local employment and payroll in nontradable industries and in total, while having no effect on employment in tradable industries. In a model with consumption wealth effects and geographic heterogeneity, these responses imply a marginal propensity to consume out of a dollar of stock wealth of 3.2 cents per year. We also use the model to quantify the aggregate effects of a stock market wealth shock when monetary policy is passive. A 20% increase in stock valuations, unless countered by monetary policy, increases the aggregate labor bill by at least 1.7% and aggregate hours by at least 0.7% two years after the shock. 

Scope of Project

Subject Terms:  View help for Subject Terms stock prices; consumption wealth effect; marginal propensity to consume; employment; wages; regional heterogeneity; time-varying risk premium; nominal rigidities; monetary policy
JEL Classification:  View help for JEL Classification
      E21 Macroeconomics: Consumption; Saving; Wealth
      E32 Business Fluctuations; Cycles
      E44 Financial Markets and the Macroeconomy
Geographic Coverage:  View help for Geographic Coverage US Counties
Time Period(s):  View help for Time Period(s) 1990 – 2016


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