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A Spatial Model of the Impact of Bankruptcy Law on Entrepreneurship

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  • Aparna Mathur

Abstract

Abstract This paper employs spatial econometrics techniques to estimate the impact of bankruptcy regulation on small firm formation. The estimation of the model is computationally challenging due to the joint appearance of a lagged endogenous variable and the unobserved heterogeneity which requires modelling of initial conditions as described in Heckman (1981). We test for the joint significance of the state dummy variables in a way that can be viewed as an interesting alternative to the Hausman procedure. This was important for our analysis since, as sometimes happens in finite samples, the estimated variance–covariance matrix was not positive semi-definite. We found that the predicted probability of starting a business is 25% higher in states with higher bankruptcy exemptions than their neighbours relative to states with lower exemptions than their neighbours. Un modèle spatial de l'impact des lois sur la faillite sur la création d'entreprises Résumé La présente communication emploie des techniques d’économétrie spatiale pour évaluer l'impact de la réglementation en matière de faillite sur la constitution de petites entreprises. L'estimation du modèle pose des difficultés sur le plan computationnel en raison de l'apparition conjointe d'une variable endogène décalée et de l'hétérogénéité non observée, qui rend nécessaire la modélisation de conditions initiales, de la façon décrite par Heckman (1981). Nous testons la signification conjointe des variables indicatrices de l’état d'une façon qui peut être considérée comme une alternative intéressante à la procédure de Hausman. Ceci était important pour notre analyse, car, comme nous le relevons parfois dans des échantillons finis, la matrice variance–covariance estimée n’était pas semi-définie positive. Nous en concluons que la probabilité prévisible du lancement d'une affaire est plus élevée de l'ordre de 25% dans les états qui appliquent des exemptions pour les faillites supérieures à celles des pays avoisinants, par rapport aux états qui appliquent des exemptions inférieures à celles de leurs voisins. Un modelo espacial del impacto de la ley de bancarrotas sobre las iniciativas empresariales Résumén Este artículo emplea técnicas de econometría espacial para estimar el impacto de las normativas de bancarrotas sobre la formación de empresas pequeñas. La valoración del modelo es computacionalmente desafiante, debido a la aparición conjunta de una variable endógena rezagada y heterogeneidad inadvertida que requieren la modelación de las condiciones iniciales, como se describe en Heckman (1981). Ensayamos la significancia conjunta de las variables de prueba estatales de una forma que puede percibirse como una alternativa interesante al procedimiento Hausman. Esto fue importante para nuestro análisis, ya que, como ocurre a veces con muestras finitas, la matriz estimada de varianza–covarianza no fue semidefinitiva positiva. Descubrimos que la probabilidad predicha de iniciar un negocio es un 25% mayor en los estados con mayores exenciones de bancarrota que sus vecinos, en relación con estados con menos exenciones que sus vecinos.

Suggested Citation

  • Aparna Mathur, 2009. "A Spatial Model of the Impact of Bankruptcy Law on Entrepreneurship," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 25-51.
  • Handle: RePEc:taf:specan:v:4:y:2009:i:1:p:25-51
    DOI: 10.1080/17421770802625940
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    References listed on IDEAS

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    1. Bruce D. Meyer, 1990. "Why Are There So Few Black Entrepreneurs?," NBER Working Papers 3537, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Mathur, Aparna, 2013. "Beyond bankruptcy: Does the US bankruptcy code provide a fresh start to entrepreneurs?," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4198-4216.
    2. Kelly Edmiston, 2005. "New insights in the determinants of regional variation in personal bankruptcy filing rates," Community Affairs Research Working Paper 2005-05, Federal Reserve Bank of Kansas City.

    More about this item

    Keywords

    Entrepreneurship; spatial econometrics; probit model; C3; K1; M13;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • K1 - Law and Economics - - Basic Areas of Law
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

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