Optimal Taxation of Income‐Generating Choice.

Discrete location, occupation, skill, and hours choices of workers underpin their incomes. This paper analyzes the optimal taxation of discrete income‐generating choice. It derives optimal tax equations and Pareto test inequalities for mixed logit choice environments that can accommodate discrete an...

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Publicado en:Econometrica Vol. 90; no. 5; pp. 2397 - 2437
Autores principales: Ales, Laurence, Sleet, Christopher
Formato: Artículo
Publicado: Wiley-Blackwell Sep2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2022
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      pub: Wiley-Blackwell
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        159688481
        10.3982/ECTA18542
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        atl: Optimal Taxation of Income‐Generating Choice.
      aug:
        au:
          Ales, Laurence
          Sleet, Christopher
        affil:
          Tepper School of Business, Carnegie Mellon University
          Department of Economics, University of Rochester
      su:
        Income tax
        Income
        Optimal taxation
        Structural optimization
        Logistic regression analysis
      sug:
        subj:
          Income tax
          Income
          Optimal taxation
          Structural optimization
          Logistic regression analysis
      keyword:
        discrete choice
        Mixed logit
        optimal taxation
        discrete choice
        Mixed logit
        optimal taxation
      ab: Discrete location, occupation, skill, and hours choices of workers underpin their incomes. This paper analyzes the optimal taxation of discrete income‐generating choice. It derives optimal tax equations and Pareto test inequalities for mixed logit choice environments that can accommodate discrete and unstructured choice sets, rich preference heterogeneity, and complex aggregate cross‐substitution patterns between choices. These equations explicitly connect optimal taxes to societal redistributive goals and private substitution behavior, with the latter encoded as a substitution matrix that describes cross‐sensitivities of choice distributions to tax‐induced utility variation. In repeated mixed logit settings, the substitution matrix is exactly the Markov matrix of shock‐induced agent transitions across choices. We describe implications of this equivalence for evaluation of prevailing tax designs and the structural estimation of optimal policy mixed logit models. We apply our results to two salient examples: spatial taxation and taxation of couples.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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