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Heterogeneity in Convergence Rates and Income Determination across U.S. States: Evidence from County-Level Data
Young, Andrew T.; Higgins, Matthew J.; Levy, Daniel - 2004
We utilize county-level data to explore growth determination in the U.S. and possible heterogeneity in growth determination across individual states. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. We use a consistent two stage least squares...
Persistent link: https://www.econbiz.de/10013204740
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Land inequality and the emergence of human capital promoting institutions
Galor, Oded; Moav, Omer; Vollrath, Dietrich - 2005
distribution of land ownership, adversely affected the implementation of human capital promoting institutions (e.g., public …
Persistent link: https://www.econbiz.de/10010318918
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The Colonial and Geographic Origins of Comparative Development
Auer, Raphael - 2009
, geography has also affected colonization policies and, therefore, institutional outcomes. Using non-colonized countries as a … control group, I develop an empirical strategy that disentangles the partial effects of institutions and of endowments on … income. I find that institutions are the main determinant of development, but that endowments have a sizeable direct impact …
Persistent link: https://www.econbiz.de/10011430076
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An Examination of the relationship between Health and Economic Growth
Malik, Garima - 2006
This paper attempts to examine the relationship between health and economic growth. The rate of growth is measured using gross national income [GNI] and health status is measured using infant mortality rate, life expectancy rate and crude health rate. The above relationships are measured using a...
Persistent link: https://www.econbiz.de/10011807592
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Spatial Filtering, Model Uncertainty and the Speed of Income Convergence in Europe
Cuaresma, Jesús Crespo; Feldkircher, Martin - 2010
In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...
Persistent link: https://www.econbiz.de/10013370077
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Heterogeneous convergence
Young, Andrew T.; Higgins, Matthew J.; Levy, Daniel - 2013
We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels.
Persistent link: https://www.econbiz.de/10010335973
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Federal, state, and local governments: Evaluating their separate roles in US growth
Higgins, Matthew J.; Young, Andrew T.; Levy, Daniel - 2008
We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...
Persistent link: https://www.econbiz.de/10010336011
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Growth spillovers in the MENA region
Baysoy, Merve Aksoylar; Altug, Sumru - 2019
geography, bilateral trade or institutional similarities. We explicitly model such interactions using a spatial econometric …
Persistent link: https://www.econbiz.de/10012388925
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Growth and Convergence across the US: Evidence from County-Level Data
Higgins, Matthew; Levy, Daniel; Young, Andrew T. - 2003
We use U.S. county-level data consisting of 3,058 observations, to study growth determination and measure the speed of income convergence. County-level data are particularly valuable for studying convergence because they allow us to study a sample with substantial homogeneity and exceptional...
Persistent link: https://www.econbiz.de/10013204733
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Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data
Young, Andrew T.; Higgins, Matthew J.; Levy, Daniel - 2003
This note outlines (i) why σ-convergence may not accompany β-convergence; (ii) cites evidence of β-convergence in the U.S.; (iii) demonstrates that σ-convergence does not hold across the U.S., or within most U.S. states; and (iv) demonstrates the robustness of this finding to increases in mean...
Persistent link: https://www.econbiz.de/10013204736