Aid and Income: Another Time-Series Perspective

World Development; DOI: 10.1016/j.worlddev.2013.12.015

Posted: 13 Dec 2014

See all articles by Matthijs Lof

Matthijs Lof

Aalto University

Tseday Mekasha

Independent

Finn Tarp

University of Copenhagen - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: January 2014

Abstract

This study provides a replication of the empirical results reported by Nowak-Lehmann, Dreher, Herzer, Klasen, and Martínez-Zarzoso (2012) (henceforth NDHKM). We uncover that NDHKM relied on a regression model which included a log transformation of variables that are not strictly positive. This led to nonrandom omission of a large proportion of observations. Furthermore, we show that NDHKM’s use of co-integrated regressions is not a suitable empirical strategy for estimating the causal effect of aid on income. Evidence from a Panel VAR model estimated on the dataset of NDHKM, suggests a positive and statistically significant long-run effect of aid on income.

Suggested Citation

Lof, Matthijs and Mekasha, Tseday and Tarp, Finn, Aid and Income: Another Time-Series Perspective (January 2014). World Development; DOI: 10.1016/j.worlddev.2013.12.015, Available at SSRN: https://ssrn.com/abstract=2537288

Matthijs Lof

Aalto University ( email )

P.O. Box 21210
Helsinki, 00101
Finland

HOME PAGE: http://sites.google.com/site/matthijslof/

Tseday Mekasha

Independent ( email )

Finn Tarp (Contact Author)

University of Copenhagen - Department of Economics ( email )

Øster Farimagsgade 5
Bygning 26
1353 Copenhagen K.
Denmark

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