Treatment of the Banking Holiday of March 1933 in Growth Regressions

2019 ◽  
Author(s):  
Mrdjan Mladjan
Keyword(s):  
Growth Regressions

Cross-country growth regressions: problems of heterogeneity, stability and interpretation

2000 ◽  
Vol 32 (5) ◽  
pp. 635-642 ◽  
Author(s):  
G. S. Maddala ◽  
S. Wu
Keyword(s):  
Growth Regressions ◽  
Cross Country

Measuring institutions: how to be precise though vague

2012 ◽  
Vol 9 (1) ◽  
pp. 31-33 ◽  
Author(s):  
MARY M. SHIRLEY
Keyword(s):  
Pragmatic Approach ◽  
Institutional Variables ◽  
Growth Regressions ◽  
Cross Country

Abstract:In his article on measuring institutions, Stephan Voigt (2012) proposes a pragmatic approach to develop more concrete, objective institutional variables than the broad abstractions used in most cross-country growth regressions. Voigt's approach has important strengths, but cross-country growth regressions, even with precisely measured institutions, are less likely to yield new insights than other methodologies.

scholarly journals Nonlinearities and Robustness in Growth Regressions

2005 ◽  
Author(s):  
Jenny Minier
Keyword(s):  
Growth Regressions

Model uncertainty in cross-country growth regressions

2001 ◽  
Vol 16 (5) ◽  
pp. 563-576 ◽  
Author(s):  
Carmen Fernández ◽  
Eduardo Ley ◽  
Mark F. J. Steel
Keyword(s):  
Model Uncertainty ◽  
Growth Regressions ◽  
Cross Country

scholarly journals Threshold regressions for the resource curse

2020 ◽  
Vol 25 (6) ◽  
pp. 583-610
Author(s):  
Nicolas Clootens ◽  
Djamel Kirat
Keyword(s):  
Natural Resources ◽  
Low Income ◽  
Growth Rates ◽  
Splitting Method ◽  
Resource Curse ◽  
Low Income Countries ◽  
Minor Role ◽  
Growth Regressions ◽  
Cross Country ◽  
A Minor

AbstractThis paper analyzes the behavior of cross-country growth rates with respect to resource abundance and dependence. We reject the linear model that is commonly used in growth regressions in favor of a multiple-regime alternative. Using a formal sample-splitting method, we find that countries exhibit different behaviors with respect to natural resources depending on their initial level of development. In high-income countries, natural resources play only a minor role in explaining the differences in national growth rates. On the contrary, in low-income countries, abundance seems to be a blessing but dependence restricts growth.

scholarly journals Gibrat’s law for cities, growth regressions and sample size

2013 ◽  
Vol 118 (2) ◽  
pp. 367-369 ◽  
Author(s):  
Rafael González-Val ◽  
Luis Lanaspa ◽  
Fernando Sanz-Gracia
Keyword(s):  
Sample Size ◽  
Gibrat’S Law ◽  
Gibrat's Law ◽  
Growth Regressions

A note on cross-country growth regressions

1996 ◽  
Vol 28 (8) ◽  
pp. 1019-1026 ◽  
Author(s):  
Stephen M. Miller
Keyword(s):  
Growth Regressions ◽  
Cross Country

scholarly journals A Monte Carlo Study of Growth Regressions

2007 ◽  
Author(s):  
William R. Hauk ◽  
Romain T. Wacziarg
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Growth Regressions

Parameter heterogeneity in growth regressions

2008 ◽  
Vol 101 (2) ◽  
pp. 126-129 ◽  
Author(s):  
David R. Hineline
Keyword(s):  
Parameter Heterogeneity ◽  
Growth Regressions
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