Barro growth regressions

E930429

Barro growth regressions are influential empirical models in macroeconomics that analyze the determinants of long-run economic growth across countries using cross-country regression techniques.

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Predicate Object
instanceOf cross-country regression framework
empirical growth model
macroeconomic empirical methodology
analyzes determinants of long-run economic growth
associatedWithEconomist Robert J. Barro
basedOnTheory Solow growth model
neoclassical growth model
criticizedFor endogeneity problems
measurement error in explanatory variables
model uncertainty
omitted variable bias
parameter heterogeneity across countries
dataScope cross-country data
panel of countries over time
field development economics
economic growth
macroeconomics
influenced cross-country growth empirics
empirical growth literature
namedAfter Robert J. Barro
relatedConcept Barro-type growth equations
convergence regressions
growth regressions
testsHypothesis conditional convergence
impact of institutions on growth
role of policy variables in growth
timeHorizon long-run growth
typicalDependentVariable long-run average growth rate
real GDP per capita growth rate
typicalIndependentVariable democracy indices
fertility rate
government consumption
human capital measures
inflation
initial income level
investment rate
political instability
population growth
rule of law indicators
schooling attainment
trade openness
typicalSamplePeriod post-1960 data
usesDataSource Barro-Lee educational attainment dataset
Penn World Table
usesMethod cross-country regression analysis
instrumental variables
ordinary least squares
panel data econometrics

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Robert J. Barro knownFor Barro growth regressions