A Theory of Structural Change that Can Fit the Data

Working Paper: CEPR ID: DP13469

Authors: Simon Alder; Timo Boppart; Andreas Müller

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

Keywords: Structural Change; Multisector Growth Model; Nonhomothetic Preferences; Relative Price Effects; Nonmonotonic Engel Curves; Aggregation

JEL Codes: O11; O14; L16; E21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
structural change in consumption expenditure (D12)preference parameters (D11)
countries develop (O57)consumption expenditure declines in agricultural sector (E20)
countries develop (O57)value-added share of agricultural sector declines (Q11)
countries develop (O57)manufacturing sector share first increases then decreases (O14)
manufacturing sector share (L60)services sector becomes dominant (O14)
IA preferences (F53)better alignment with historical data than traditional models (C51)
IA preferences (F53)sustained income effects (H31)
relative price effects + income effects (F16)structural transformations (P39)

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