Amparo CastellÃƒÂ³-Climent, Universidad Carlos III de Madrid ... - Ivie

More documents

Recommendations

Info

[21] Galor, O. and D. Tsiddon (1997). “ The Distribution of Human Capital and Economic Growth”. Journal of Economic Growth 2, 93-124. [22] Galor, O. and J. Zeira (1993). “Income Distribution and Macroeconomics”. Review of Economic Studies 60, 35-52. [23] Glomm, G. and B. Ravikumar (1992). “Public versus Private Investment in Human Capital: Endogenous Growth and Income Inequality”. Journal of Political Economy 100 (4), 818-834. [24] Hauk, W. R. and R. Wacziarg (2004).“ A Monte Carlo Study of Growth Regressions”, NBER Technical Working Paper 296. [25] Islam, N. (1995).“Growth Empirics: A Panel Data Approach”. Quarterly Journal of Economics, CX, 1127-1170. [26] Kuznets, S. (1995). “Economic Growth and Income Inequality”. American Economic Review 45 (1), 1-28. [27] Li, H., L. Squire and H. Zou (1998). “Explaining International and Intertemporal Variations in Income Inequality”. Economic Journal 108, 26- 43. [28] Mankiw, N. G., D. Romer and D. Weil (1992). “A Contribution to the Empirics of Economic Growth”. Quarterly Journal of Economics 107, 407- 437. [29] Panizza, U. (2002). “Income Inequality and Economic Growth: Evidence from American Data”. Journal of Economic Growth, 7, 25-41. [30] Perotti, R. (1996). “Growth, Income Distribution and Democracy: What Data Say”. Journal of Economic Growth 1, 149-187. [31] Persson, T. and G. Tabellini (1994). “Is Inequality Harmful for Growth? Theory and Evidence”. American Economic Review 84, 600-621. [32] Piketty, T. (1997). ”The Dynamics of the Wealth Distribution and the Interest Rate with Credit Rationing”. Review of Economic Studies, 64, 173-189. [33] Saint-Paul, G. and T. Verdier (1993). “Education, Democracy and Growth”. Journal of Development Economics 42, 399-407. 30
6 Appendix I- Computation of the human capital Gini coefficient The human capital Gini coefficient is computed using data on the average schooling years and the attainment levels provided by Barro and Lee (2001). The formula to compute the Gini coefficient is: G h = 1 2H S h=1 l=1 S |x h − x l | n h n l (A- 1) where H is the average schooling years in the total population, x h is cumulative average schooling years of each educational level, and n h is the share of population aged 15 and over with the level h as the the highest educational attainment level. Expanding expression (A- 1), the Gini coefficient can be written as follows: G h = n 0 + n 1x 2 (n 2 + n 3 )+n 3 x 3 (n 1 + n 2 ) n 1 x 1 + n 2 x 2 + n 3 x 3 (A- 2) 31
Page 1 and 2: A REASSESSMENT OF THE RELATIONSHIP
Page 3 and 4: 1 Introduction In the early 1990s s
Page 5 and 6: capita growth and the investment ra
Page 7 and 8: income inequality variables are sti
Page 9 and 10: ln y i,t = β ln y i,t−τ + γIn
Page 11 and 12: data set. 9 The explanatory variabl
Page 13 and 14: Table 1- Income Gini coefficients f
Page 15 and 16: Table 2- Cross-section and pool reg
Page 17 and 18: Table 3- Random and Fixed effects R
Page 19 and 20: Sub-Saharan African countries are s
Page 21 and 22: education to real GDP (G/GDP i,t−
Page 23 and 24: ence equation, we also estimate a l
Page 25 and 26: Average Fertility Rate 1960-1 9 8 7
Page 27 and 28: a new generalized method of moments
Page 29: [6] Atkinson, A. B. and A. Brandoli
Page 33: Table A-2- Countries included in th

Amparo CastellÃƒÂ³-Climent, Universidad Carlos III de Madrid ... - Ivie

Create successful ePaper yourself

Delete template?

Save as template?