Improving the Measurement of Consumption and Income Dynamics

• Author(s) / Creator(s)

  • Hryshko, Dmytro

• SSHRC Awarded IG 2018: Consumption (purchases) is considered one of the best metrics of individual and household well-being. Economists typically assume households elect to smooth their consumption, so as to insure against shocks such as disability or unemployment. The current state-of-the-art measure of 'consumption insurance' is constructed using longitudinal survey data with missing information on consumption and income, and imputed consumption, and may be plagued with biases in need of correction. The proposed research program consists of three projects focusing on improving the measurement of consumption insurance and income dynamics. We will analyze survey and administrative data from the U.S. and Germany, simulated data from a life cycle model of consumption, survey data from the Panel Study of Income Dynamics (PSID), administrative and survey data from Denmark and survey data from the Canadian Survey of Family Expenditures.

• Date created

  2017-10-16

• Subjects / Keywords

  • Quantitative
  • Methodology
  • Insight Grant
  • Economics
  • United States
  • Applied Economics
  • Successful SSHRC
  • Estimation
  • Insurance
  • North America
  • Income Dynamics
  • Scandinavia
  • Family
  • Policy
  • Gender
  • Sociology
  • Indirect Inference
  • Employment and Labour
  • Grant Application
  • Life Cycle Models
  • Measurement
  • Europe
  • Minimum Distance
  • Canada
  • IG
  • Inequality
  • Demography
  • United Kingdom
  • 2018
  • Comsumption Insurance
  • Macroeconomics
  • Germany
  • Denmark
  • Consumption Dynamics
  • Stream B
  • Rare Shocks
  • Survey Design
  • USA
  • UK
  • Canada
  • Germany
  • Denmark

• Type of Item

  Research Material

• DOI

  https://doi.org/10.7939/R3ST7FC26

• License

  © Hryshko, Dmytro. All rights reserved other than by permission. This document embargoed to those without UAlberta CCID until 2025.