Institution and Development Revisited: A Nonparametric Approach

27 Pages Posted: 28 Apr 2010 Last revised: 29 Apr 2010

See all articles by Sudip R Basu

Sudip R Basu

affiliation not provided to SSRN

Monica Das

Skidmore College

Date Written: March 1, 2010

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.

Keywords: Development, Institutions, Geography, Openness, Principal component, Nonparametric analysis

JEL Classification: C3, 010, 057, P51, R11

Suggested Citation

Basu, Sudip R and Das, Monica, Institution and Development Revisited: A Nonparametric Approach (March 1, 2010). Available at SSRN: https://ssrn.com/abstract=1595984 or http://dx.doi.org/10.2139/ssrn.1595984

Sudip R Basu (Contact Author)

affiliation not provided to SSRN

Monica Das

Skidmore College ( email )

815 North Broadway
Saratoga Springs, NY 12866-1632
United States

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