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Institution And Development Revisited: A Nonparametric Approach

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  • Sudip Ranjan Basu
  • Monica Das

Abstract

The paper uses nonparametric methodology to examine the role of institutions in understanding differential levels of development across countries. By using the Li-Racine (2004) generalized kernel estimation methodology, our paper allows a deeper look into the impact of institutions on development. The analysis is carried out for a set of 102 countries over 1980 to 2004. Similar to parametric results established in the literature, the nonparametric analysis lends further support to the view that institutions matter in the development of countries in the context of economic policies and geographic factors. There is minimal evidence to suggest that institutions have a negative impact on development. Our results further indicate (a) parametric estimates suffer from misspecification bias and (b) the impact of institutional quality on development quality is heterogeneous across countries and time periods.

Suggested Citation

  • Sudip Ranjan Basu & Monica Das, 2010. "Institution And Development Revisited: A Nonparametric Approach," UNCTAD Blue Series Papers 42, United Nations Conference on Trade and Development.
  • Handle: RePEc:unc:blupap:42
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    File URL: http://unctad.org/en/Docs/itcdtab41_en.pdf
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    References listed on IDEAS

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    1. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
    2. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    3. Pranab Bardhan, 2005. "Institutions matter, but which ones?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(3), pages 499-532, July.
    4. Easterly, William & Levine, Ross, 2003. "Tropics, germs, and crops: how endowments influence economic development," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 3-39, January.
    5. Edwards, Sebastian, 1998. "Openness, Productivity and Growth: What Do We Really Know?," Economic Journal, Royal Economic Society, vol. 108(447), pages 383-398, March.
    6. Masters, William A & McMillan, Margaret S, 2001. "Climate and Scale in Economic Growth," Journal of Economic Growth, Springer, vol. 6(3), pages 167-186, September.
    7. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    8. Olsson, Ola & Hibbs, Douglas Jr., 2005. "Biogeography and long-run economic development," European Economic Review, Elsevier, vol. 49(4), pages 909-938, May.
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    Cited by:

    1. José Ernesto Amorós & Pekka Stenholm, 2013. "The Influence of the Quality of Government Institutions on Entrepreneurial Motivation: Exploring the Variance across Countries," Working Papers 1401, Departament Empresa, Universitat Autònoma de Barcelona, revised Dec 2013.
    2. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.

    More about this item

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • P51 - Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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