The contribution of schooling in development accounting: results from a nonparametric upper bound

Francesco Caselli and Antonio Ciccone

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: How much would output increase if underdeveloped economies were to increase their levels of schooling? We contribute to the development accounting literature by describing a nonparametric upper bound on the increase in output that can be generated by more schooling. The advantage of our approach is that the upper bound is valid for any number of schooling levels with arbitrary patterns of substitution/complementarity. Another advantage is that the upper bound is robust to certain forms of endogenous technology response to changes in schooling. We also quantify the upper bound for all economies with the necessary data, compare our results with the standard development accounting approach, and provide an update on the results using the standard approach for a large sample of countries.

Keywords: development accounting; imperfect substitution; schooling (search for similar items in EconPapers)
JEL-codes: E00 E01 O1 O11 O15 O3 O30 O4 (search for similar items in EconPapers)
Date: 2013-09
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Published in Journal of Development Economics, September, 2013, 104, pp. 199-211. ISSN: 0304-3878

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Related works:
Working Paper: The Contribution of Schooling in Development Accounting: Results from a Nonparametric Upper Bound (2015)
Journal Article: The contribution of schooling in development accounting: Results from a nonparametric upper bound (2013)
Working Paper: The contribution of schooling in development accounting: Results from a nonparametric upper bound (2012)
Working Paper: The Contribution of Schooling in Development Accounting: Results from a Nonparametric Upper Bound (2011)
Working Paper: The Contribution of Schooling in Development Accounting: Results from a Nonparametric Upper Bound (2011)
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