Institutions and Growth a GMM/IV Panel VAR Approach

Both sides of the institutions and growth debate have resorted largely to microeconometric techniques in testing hypotheses. In this paper, I build a panel structural vector autoregression (SVAR) model for a short panel of 119 countries over 10 years and find support for the institutions hypothesis....

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Bibliographic Details
Main Author: Góes, Carlos
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 2015
Series:IMF Working Papers
Subjects:
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
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653 |a Time-Series Models 
653 |a Estimation 
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653 |a Personal Income, Wealth, and Their Distributions 
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653 |a Personal income 
653 |a Macroeconomics 
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653 |a Econometrics 
653 |a Dynamic Quantile Regressions 
653 |a National accounts 
653 |a Econometric analysis 
653 |a Multiple or Simultaneous Equation Models: Models with Panel Data 
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653 |a Diffusion Processes 
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653 |a Structural vector autoregression 
653 |a Semiparametric and Nonparametric Methods 
653 |a Econometric models 
653 |a Dynamic Treatment Effect Models 
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520 |a Both sides of the institutions and growth debate have resorted largely to microeconometric techniques in testing hypotheses. In this paper, I build a panel structural vector autoregression (SVAR) model for a short panel of 119 countries over 10 years and find support for the institutions hypothesis. Controlling for individual fixed effects, I find that exogenous shocks to a proxy for institutional quality have a positive and statistically significant effect on GDP per capita. On average, a 1 percent shock in institutional quality leads to a peak 1.7 percent increase in GDP per capita after six years. Results are robust to using a different proxy for institutional quality. There are different dynamics for advanced economies and developing countries. This suggests diminishing returns to institutional quality improvements