The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Inequality and growth: evidence from panel cointegration
Open accessAbstract
This paper uses heterogeneous panel cointegration techniques to estimate the long-run effect of income inequality on per-capita income for 46 countries over the period 1970–1995. We find that inequality has a negative long-run effect on income, both for the sample as a whole and for important sub-groups within the sample (developed countries, developing countries, democracies, and non-democracies). The effect is economically important, with a magnitude about half as high as the magnitude of an increase in the investment share.
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Citations
Cites
STATISTICAL ANALYSIS OF COINTEGRATION VECTORS
Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027
Testing for unit roots in heterogeneous panels
Im, K. S., Pesaran, M. H., & Shin, Y. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00092-7 · Cited by 15,435
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
Pedroni, P. (1999) · Oxford Bulletin of Economics and Statistics · doi:10.1111/1468-0084.61.s1.14 · Cited by 6,726
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479 · cited 1×
“Indeed, panel methods allow controlling for country-specific omitted variables, but the homogeneous panel estimators used in the inequality literature produce inconsistent and potentially misleading estimates of the average values of the parameters in dynamic models when the slope coefficients differ across crosssecti…”
Inequality and Growth in a Panel of Countries
Barro, R. J. (2000) · Journal of Economic Growth · doi:10.1023/a:1009850119329 · Cited by 2,676 · cited 2×
“However, as discussed at the beginning of this paper, Barro [5] reports a positive correlation between income inequality and growth among rich countries, but a negative correlation for poor countries.”
BackgroundInequality and Growth: What Can the Data Say?
Banerjee, A. V., & Duflo, E. (2003) · Journal of Economic Growth · doi:10.1023/a:1026205114860 · Cited by 592
Cited by
Tourism and economic growth: A review of empirical literature
del P. Pablo-Romero, M., & Molina, J. A. (2013) · Tourism Management Perspectives · doi:10.1016/j.tmp.2013.05.006 · Cited by 349
Income inequality in the developing world
Ravallion, M. (2014) · Science · doi:10.1126/science.1251875 · Cited by 294
Inward and outward FDI and income inequality: evidence from Europe
Herzer, D., & Nunnenkamp, P. (2013) · Review of World Economics · doi:10.1007/s10290-013-0148-3 · Cited by 76
Self-citationClimate variability impacts on agricultural output in East Africa
Mubenga-Tshitaka, J.-L., Dikgang, J., Muteba Mwamba, J. W., & Gelo, D. (2023) · Cogent Economics & Finance · doi:10.1080/23322039.2023.2181281 · Cited by 16
Metadata
- Authors
- Herzer, D., & Vollmer, S.
- Venue
- The Journal of Economic Inequality
- Published
- 2011-02-24
- Volume
- 10
- Issue
- 4
- Pages
- 489-503
- ISSN
- 1569-1721 (ISSN-L)
- 1573-8701
- OpenAlex
- W2170738967
- Cited by
- 199
- References
- 7
- FWCI
- 37.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
