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Nonparametric identification of unobserved technological heterogeneity in production. National Bank of Belgium Working Paper No. 335

Cherchye, Laurens and Demuynck, Thomas and De Rock, Bram and Verschelde, Marijn (2018) Nonparametric identification of unobserved technological heterogeneity in production. National Bank of Belgium Working Paper No. 335. [Working Paper]

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    Abstract

    We propose a novel nonparametric method for the structural identification of unobserved technological heterogeneity in production. We assume cost minimization as the firms' behavioral objective, and we model unobserved heterogeneity as an unobserved productivity factor on which firms condition the input demand of the observed inputs. Our model of unobserved technological differences can equivalently be represented in terms of unobserved\latent capital" that guarantees data consistency with our behavioral assumption, and we argue that this avoids a simultaneity bias in a natural way. Our empirical application to Belgian manufacturing data shows that our method allows for drawing strong and robust conclusions, despite its nonparametric orientation. For example, our results pinpoint a clear link between international exposure and technological heterogeneity and show that primary inputs are in the considered sectors substituted for materials rather than for technology.

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    Item Type: Working Paper
    Uncontrolled Keywords: production behavior, unobserved heterogeneity, cost minimization, nonparametric identification, simultaneity bias, latent capital, manufacturing
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > industrial policy
    Countries > Belgium
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > National Bank of Belgium (Brussels) > Working Papers
    Depositing User: Phil Wilkin
    Official EU Document: No
    Language: English
    Date Deposited: 15 Nov 2019 14:56
    Number of Pages: 45
    Last Modified: 15 Nov 2019 14:56
    URI: http://aei.pitt.edu/id/eprint/97479

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