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Retrieving initial capital distributions from panel data

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  • Chen, Xi
  • Plotnikova, Tatiana

Abstract

A common problem in the empirical production analysis at the firm-level is that the initial values of capital are often missing in the data. Most empirical studies impute initial capital according to some ad hoc criteria based on a single arbitrary proxy. This paper evaluates the bias of production function estimations that is introduced when these traditional initial value approximations are used. We propose a generalized framework to deal with the missing initial capital problem by using multiple proxies where the choice of proxies is data-driven. We conduct a series of Monte Carlo experiments where the proposed method is tested against traditional approaches and apply the method to the firm-level data.

Suggested Citation

  • Chen, Xi & Plotnikova, Tatiana, 2014. "Retrieving initial capital distributions from panel data," MPRA Paper 61154, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:61154
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    References listed on IDEAS

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    Cited by:

    1. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.

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    More about this item

    Keywords

    capital stock measurement; production function estimation; Monte Carlo simulation; non-linear regression;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D20 - Microeconomics - - Production and Organizations - - - General

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