Sales and Markup Dispersion: Theory and Empirics.

We characterize the relationship between the distributions of two variables linked by a structural model. We then show that, in models of heterogeneous firms in monopolistic competition, this relationship implies a new demand function that we call "CREMR" (Constant Revenue Elasticity of Marginal Rev...

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Publicado en:Econometrica Vol. 89; no. 4; pp. 1753 - 1789
Autores principales: Mrázová, Monika, Neary, J. Peter, Parenti, Mathieu
Formato: Artículo
Publicado: Wiley-Blackwell Jul2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2021
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      pub: Wiley-Blackwell
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        10.3982/ECTA17416
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      tig:
        atl: Sales and Markup Dispersion: Theory and Empirics.
      aug:
        au:
          Mrázová, Monika
          Neary, J. Peter
          Parenti, Mathieu
        affil:
          Geneva School of Economics and Management, University of Geneva
          CEPR
          CESifo
          Department of Economics, University of Oxford
          ECARES, Université Libre de Bruxelles
      su:
        Monopolistic competition
        Demand function
        Market equilibrium
        Structural models
        Dispersion (Chemistry)
        Pareto distribution
        Pricing
      sug:
        subj:
          Monopolistic competition
          Demand function
          Market equilibrium
          Structural models
          Dispersion (Chemistry)
          Pareto distribution
          Pricing
      keyword:
        CREMR demands
        Gibrat's Law
        heterogeneous firms
        lognormal versus Pareto distributions
        sales and markup distributions
        CREMR demands
        Gibrat's Law
        heterogeneous firms
        lognormal versus Pareto distributions
        sales and markup distributions
      ab: We characterize the relationship between the distributions of two variables linked by a structural model. We then show that, in models of heterogeneous firms in monopolistic competition, this relationship implies a new demand function that we call "CREMR" (Constant Revenue Elasticity of Marginal Revenue). This demand function is the only one that is consistent with productivity and sales distributions having the same form (whether Pareto, lognormal, or Fréchet) in the cross section, and it is necessary and sufficient for Gibrat's Law to hold over time. Among the applications we consider, we use our methodology to characterize misallocation across firms; we derive the distribution of markups implied by any assumptions on demand and productivity; and we show empirically that CREMR‐based markup distributions provide an excellent parsimonious fit to Indian firm‐level data, which in turn allows us to calculate the proportion of firms that are of suboptimal size in the market equilibrium.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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