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A Stochastic Frontier Analysis of Financing Constraints on Investment: The Case of Financial Liberalization in Taiwan

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  • Wang, Hung-Jen

Abstract

It is shown that investment under financing constraints can be modeled as a one-sided deviation from a frictionless investment level, and that effects of financing constraints can be identified and quantified by imposing a distributional assumption on the effects. Panel data on Taiwanese manufacturing firms between 1989 and 1996 are used in the estimation. It is found that (1) some of the sorting criteria used in the literature do not have significant and monotonic relationships with the degrees of financing constraint, resulting in problematic sample separations, and (2) the effects of financial liberalization in Taiwan are such that the investment efficiency improved over time for a typical firm, and the improvement was particularly large for smaller firms.

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 21 (2003)
Issue (Month): 3 (July)
Pages: 406-19

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Handle: RePEc:bes:jnlbes:v:21:y:2003:i:3:p:406-19

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Cited by:
  1. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.
  2. Wang, Hung-Jen & Ho, Chia-Wen, 2009. "Estimating fixed-effect panel stochastic frontier models by model transformation," MPRA Paper 31081, University Library of Munich, Germany.
  3. Carlos Carreira & Filipe Silva, 2010. "No Deep Pockets: Some Stylized Empirical Results On Firms' Financial Constraints," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 731-753, 09.
  4. Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Profit efficiency of U.S. commercial banks: a decomposition," DOCUMENTOS DE TRABAJO CIEF 010939, UNIVERSIDAD EAFIT.
  5. Sheng-Kai Chang & Yi-Yi Chen & Hung-Jen Wang, 2012. "A Bayesian estimator for stochastic frontier models with errors in variables," Journal of Productivity Analysis, Springer, vol. 38(1), pages 1-9, August.
  6. Verspagen, B. & Werker, C., 2003. "The invisible college of the economics of innovation and technological change," Eindhoven Center for Innovation Studies (ECIS) working paper series 03.21, Eindhoven Center for Innovation Studies (ECIS).
  7. Wang, Hung-Jen, 2006. "Stochastic frontier models," MPRA Paper 31079, University Library of Munich, Germany.
  8. Chen, Yi-Yi & Wang, Hung-Jen, 2004. "A method of moments estimator for a stochastic frontier model with errors in variables," Economics Letters, Elsevier, vol. 85(2), pages 221-228, November.
  9. Tiziana Laureti, 2008. "Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier," International Advances in Economic Research, Springer, vol. 14(1), pages 76-89, February.
  10. Fenn, Paul & Vencappa, Dev & Diacon, Stephen & Klumpes, Paul & O'Brien, Chris, 2008. "Market structure and the efficiency of European insurance companies: A stochastic frontier analysis," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 86-100, January.
  11. Lin, Boqiang & Yang, Lisha, 2013. "The potential estimation and factor analysis of China′s energy conservation on thermal power industry," Energy Policy, Elsevier, vol. 62(C), pages 354-362.
  12. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
  13. Matthias Walter, 2011. "Some Determinants of Cost Efficiency in German Public Transport," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 45(1), pages 1-20, January.
  14. Sumon Bhaumik & Pranab Kumar Das & Subal C. Kumbhakar, 2011. "Firm Investment & Credit Constraints in India, 1997 – 2006: A stochastic frontier approach," William Davidson Institute Working Papers Series wp1010, William Davidson Institute at the University of Michigan.
  15. Ngoc-Anh Vo Thi & Dev Vencappa, 2008. "Does the Entry Mode of Foreign Banks Matter for Bank Efficiency? Evidence from the Czech Republic,Hungary, and Poland," William Davidson Institute Working Papers Series wp925, William Davidson Institute at the University of Michigan.
  16. Bhaumik, Sumon Kumar & Das, Pranab Kumar & Kumbhakar, Subal C., 2012. "A stochastic frontier approach to modelling financial constraints in firms: An application to India," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1311-1319.
  17. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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