Data and Code for: Population Aging and Structural Transformation

Principal Investigator(s):  View help for Principal Investigator(s) Javier Cravino, University of Michigan; Andrei Levchenko, University of Michigan; Marco Rojas, University of Michigan

Version:  View help for Version V1

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  data_micro 07/22/2021 11:40:PM
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  figures 07/22/2021 09:10:PM
  tables 07/22/2021 09:07:PM
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tables_figures_list.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 9.8 KB 07/22/2021 05:13:PM

Project Citation: 

Cravino, Javier, Levchenko, Andrei, and Rojas, Marco. Data and Code for: Population Aging and Structural Transformation. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-09-28. https://doi.org/10.3886/E140141V1

Project Description

Summary:  View help for Summary We quantify the role of population aging in the structural transformation process. Household-level data from the U.S. show that the fraction of expenditures devoted to services increases with household age. We use a shift-share decomposition and a quantitative model to show that U.S. population aging accounted for about a fifth of the observed increase in the service share in consumption between 1982 and 2016. The contribution of population aging to the rise in the service share is about the same size as the contribution of real income growth, and about half as large as that of changes in relative prices.

Funding Sources:  View help for Funding Sources National Science Foundation (SES-1628879)

Scope of Project

Subject Terms:  View help for Subject Terms Aging; Structural transformation; Deindustrialization
JEL Classification:  View help for JEL Classification
      E20 Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy: General (includes Measurement and Data)
      O10 Economic Development: General
      O40 Economic Growth and Aggregate Productivity: General
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1970 – 2007 (Cross-country analysis); 1982 – 2016 (US households analysis)
Collection Date(s):  View help for Collection Date(s) 1/1982 – 3/2017 (Consumer Expenditure Survey)
Universe:  View help for Universe
Cross-country analysis: all countries with reliable data
Households analysis: US households
Data Type(s):  View help for Data Type(s) aggregate data; survey data

Methodology

Data Source:  View help for Data Source Bureau of Labor Statistics. 1982-2016. “Consumer Expenditure Survey”. United States Department of Labor
Bureau of Labor Statistics. 1982-2016. “Price Indexes”. United States Department of Labor
Bureau of Economic Analysis. 1982-2016. “National Income and Product Accounts”. United States Department of Commerce
Center for Medicare and Medicaid Services. 2002-2014. “National Health Expenditure Data”, United States Department of Health and Human Services
World Bank. 2019. “Population estimates and projections”
World Bank. 2019. “World Development Indicators”
World Input-Output Database. 2018. “Socio Economic Accounts”
World KLEMS. 2012. “Growth and Productivity Accounts: Canada”
Unit(s) of Observation:  View help for Unit(s) of Observation Country, US household

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Published Versions

V1 [2022-09-28]

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