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Estimating the production function for the Brazilian industrial sector: A Bayesian panel VAR approach

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  • Roberto Ivo Da Rocha Lima Filho

Abstract

The scope of this paper is to estimate the production function for the Brazilian industrial sector from a longitudinal panel of the industrial sector (Annual Industrial Survey produced by the Institute of Geography and Statistics—PIA/IBGE—and the Ministry of Labour and Employment’s Annual Relation of Social Information—RAIS/MTE—ranging from 1996 until 2005) through a Bayesian Vector Autoregressive (BVAR) approach. This new method adds to the empirical industrial organization another way to estimate the demand, avoiding cumbersome calculations. It gives the possibility of analysing not only the dynamic relationships among the variables but also the shocks through the impulse response function (IRF). Additionally, it gives the opportunity to analyse the industry sector’s productivity by minimizing the problem of endogeneity and therefore it also sheds some light on the trend of this variable throughout the period abovementioned.

Suggested Citation

  • Roberto Ivo Da Rocha Lima Filho, 2022. "Estimating the production function for the Brazilian industrial sector: A Bayesian panel VAR approach," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2025752-202, December.
    • Handle: RePEc:taf:oabmxx:v:9:y:2022:i:1:p:2025752
    DOI: 10.1080/23311975.2022.2025752
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    Cited by:

    1. Neifar, Malika, 2024. "Does ICT Drive Fintech firm Performance? Evidence from BRICS ‎Countries ‎," MPRA Paper 121772, University Library of Munich, Germany.

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