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The Neoclassical Model and the Welfare Costs of Selection"

Fabrice Collard and Omar Licandro ()

Review of Economic Dynamics, 2025, vol. 57

Abstract: This paper embeds firm dynamics into the Neoclassical model in a framework with partially reversible capital and investment distortions, allowing for a simple characterization of the transitional dynamics of economies moving towards greater selection. At equilibrium, aggregate technology is Neoclassical, with the quality of capital and the depreciation rate depending on selection. As investment distortions are corrected, selection increases, and both output per capita and welfare rise at the steady state. However, selection destroys existing production capacities, leading to transitional welfare losses. When calibrated to the US, the model shows that developing countries reducing investment distortions to US levels would experience substantial steady-state welfare gains, though transitional costs could absorb 70% to 76% of these gains. While the associated welfare gains from selection at steady-state are significant, between 10% and 23%, transitional costs largely offset these additional welfare gains. (Copyright: Elsevier)

Keywords: Firm dynamics and selection; Neoclassical model; Capital irreversibility; Investment distortions; Transitional dynamics; Welfare gains (search for similar items in EconPapers)
JEL-codes: D6 E13 E23 O4 (search for similar items in EconPapers)
Date: 2025
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https://dx.doi.org/10.1016/j.red.2025.101284
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Related works:
Working Paper: The Neoclassical Model and the Welfare Costs of Selection (2022) Downloads
Working Paper: The Neoclassical Model and the Welfare Costs of Selection (2021) Downloads
Working Paper: The Neoclassical Model and the Welfare Costs of Selection (2021) Downloads
Working Paper: The Neoclassical Model and the Welfare Costs of Selection (2021) Downloads
Working Paper: The Neoclassical Model and the Welfare Costs of Selection (2021) Downloads
Working Paper: The neoclassical model and the welfare costs of selection (2020) Downloads
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DOI: 10.1016/j.red.2025.101284

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