The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Asset Distribution, Inequality, and Growth
Open accessAbstract
June 2000 - Policymakers addressing the impact of inequality on growth should be more concerned about households' access to assets - and to the opportunities associated with them - than about the distribution of income. Asset inequality - but not income inequality - has a relatively great negative impact on growth and also reduces the effectiveness of educational interventions. With the recent resurgence of interest in equity, inequality, and growth, the possibility of a negative relationship between inequality and economic growth has received renewed interest in the literature. Faced with the prospect that high levels of inequality may persist and give rise to poverty traps, policymakers are paying more attention to the distributional implications of macroeconomic policies. Because high levels of inequality may hurt overall growth, policymakers are exploring measures to promote growth and equity at the same time. How the consequences of inequality are analyzed, along with the possible cures, depends partly on how inequality is measured. Deininger and Olinto use assets (land) rather than income - and a GMM estimator - to examine the robustness of the relationship between inequality and growth that has been observed in the cross-sectional literature but has been drawn into question by recent studies using panel techniques. They find evidence that asset inequality - but not income inequality - has a relatively large negative impact on growth. They also find that a highly unequal distribution of assets reduces the effectiveness of educational interventions.
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Cites
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Panel data and unobservable individual effects
Hausman, J., & Taylor, W. (1981) · Journal of Econometrics · doi:10.1016/0304-4076(81)90085-3 · Cited by 2,309
Inequality and Economic Growth: The Perspective of the New Growth Theories
Aghion, P., Caroli, E., & García-Peñalosa, C. (1999) · Journal of Economic Literature · doi:10.1257/jel.37.4.1615 · Cited by 1,848
Does natural resource abundance increase Latin American income inequality?
Leamer, E. E., Maul, H., Rodriguez, S., & Schott, P. K. (1999) · Journal of Development Economics · doi:10.1016/s0304-3878(99)00004-8 · Cited by 316 · cited 1×
“For instance, as explained by Leamer et al. (1999), income and/or asset inequality is correlated to factor endowments, and conditioned by the country-specific history all of which are unobservable characteristics measured by ui.”
Cited by
Trade Liberalization and Poverty: The Evidence So Far
Winters, L. A., McCulloch, N., & McKay, A. (2004) · Journal of Economic Literature · doi:10.1257/002205104773558056 · Cited by 1,085
The Middle Class Consensus and Economic Development
Easterly, W. (2001) · Journal of Economic Growth · doi:10.1023/a:1012786330095 · Cited by 971
The Lost Decades: Developing Countries' Stagnation in Spite of Policy Reform 1980–1998
Easterly, W. (2001) · Journal of Economic Growth · doi:10.1023/a:1011378507540 · Cited by 561
Thomas, V., Dailimi, M., Dhareshwar, A., Kaufmann, D., Kishor, N., Lopez, R., & Wang, Y. (2000) · World Bank, Washington, DC eBooks · doi:10.1596/0-1952-1593-1 · Cited by 356
Growth, Inequality, and Poverty: Looking beyond Averages
Ravallion, M. (2001) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-2558 · Cited by 353
Metadata
- Authors
- Olinto, P., & Deininger, K.
- Venue
- World Bank, Washington, DC eBooks
- Publisher
- World Bank, Washington, DC
- Published
- 2000-06
- OpenAlex
- W2115605925
- Cited by
- 291
- References
- 4
- Type
- report
- Language
- en
- Open access
- green
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