A stochastic frontier approach to modelling financial constraints in firms: an application to India

Sumon Bhaumik; Pranab Das; Subal Kumbhakar

doi:10.1016/j.jbankfin.2011.11.026

A stochastic frontier approach to modelling financial constraints in firms: an application to India

Sumon Bhaumik, Pranab Das, Subal Kumbhakar

Research output: Contribution to journal › Article › peer-review

Abstract

We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.

Original language	English
Pages (from-to)	1311-1319
Number of pages	9
Journal	Journal of Banking and Finance
Volume	36
Issue number	5
DOIs	https://doi.org/10.1016/j.jbankfin.2011.11.026 https://doi.org/10.1016/j.jbankfin.2013.07.033
Publication status	Published - May 2012

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of banking and finance. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Bhaumik, S., Das, P., & Kumbhakar, S. A stochastic frontier approach to modelling financial constraints in firms: an application to India. Journal of banking and finance, vol.36 no.5 (2012) DOI http://dx.doi.org/10.1016/j.jbankfin.2011.11.026

Erratum: Bhaumik, SK, Das, PK & Kumbhakar, SC 2013, 'Erratum to: "A stochastic frontier approach to modelling financial constraints in firms: An application to India" [J. Bank. Finance 36 (2012) 1311-1319]' Journal of banking and finance, vol 37, no. 12, pp. 5159., 10.1016/j.jbankfin.2013.07.033

Keywords

firm investment
stochastic frontier analysis
India
financial constraint

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Stochastic frontier approach to modelling financial constraints
NOTICE: this is the author’s version of a work that was accepted for publication in Journal of banking and finance. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Bhaumik, S., Das, P., & Kumbhakar, S. A stochastic frontier approach to modelling financial constraints in firms: an application to India. Journal of banking and finance, vol.36 no.5 (2012) DOI http://dx.doi.org/10.1016/j.jbankfin.2011.11.026
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Cite this

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abstract = "We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.",

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AB - We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.

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A stochastic frontier approach to modelling financial constraints in firms: an application to India

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Keywords

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