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

被引:36
|
作者
Bhaumik, Sumon Kumar [1 ]
Das, Pranab Kumar [2 ]
Kumbhakar, Subal C. [1 ,3 ]
机构
[1] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England
[2] Ctr Studies Social Sci, Kolkata 700094, India
[3] SUNY Binghamton, Dept Econ, Binghamton, NY 13850 USA
基金
英国经济与社会研究理事会;
关键词
Firm investment; Financial constraint; Stochastic frontier analysis; India; INVESTMENT; LIBERALIZATION; LIQUIDITY; IMPACT; SIZE; LEVERAGE; GROWTH;
D O I
10.1016/j.jbankfin.2011.11.026
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:1311 / 1319
页数:9
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