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Project Citation: 

Alder, Simon, Boppart, Timo, and Müller, Andreas. Data and Code for: A Theory of Structural Change That Can Fit the Data. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-25. https://doi.org/10.3886/E120823V1

Project Description

Summary:  View help for Summary We study structural change in historical consumption expenditure of the United States, the United Kingdom, Canada, and Australia over more than a century. We characterize the most general class of preferences in a time-additive setting that admits aggregation of the saving decision and allows to identify preference parameters from aggregate data. We parametrize and estimate such intertemporally aggregable (IA) preferences and discuss their properties in a dynamic general equilibrium framework with sustained growth. Our preference class is considerably more flexible than the Gorman form or PIGL, giving rise to a good fit of the non-monotonic pattern of structural change.

Scope of Project

Subject Terms:  View help for Subject Terms Structural change; Multi-sector growth model; Non-homothetic preferences; Income effects; Relative price effects; Non-monotonic Engel curves; Aggregation
JEL Classification:  View help for JEL Classification
      E21 Macroeconomics: Consumption; Saving; Wealth
      L16 Industrial Organization and Macroeconomics: Industrial Structure and Structural Change; Industrial Price Indices
      O11 Macroeconomic Analyses of Economic Development
      O14 Industrialization; Manufacturing and Service Industries; Choice of Technology
Geographic Coverage:  View help for Geographic Coverage Australia, Canada, United Kingdom, United States
Time Period(s):  View help for Time Period(s) 1900 – 2014


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