The effect of robust growth on poverty: a nonlinear analysis
Previous research has shown that economic growth should help to reduce the rate of poverty. However, a number of recent studies have found that the economic expansion of the 1980s had no statistically significant effect on aggregate poverty. It is shown that both a Threshold regression and a Fourier approximation provide a better empirical model of poverty than the standard linear model. It is noteworthy that the nonlinear specifications show a large and significant effect on poverty of the 1980s expansion.
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Volume (Year): 35 (2003)
Issue (Month): 9 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Ludlow, Jorge & Enders, Walter, 2000. "Estimating non-linear ARMA models using Fourier coefficients," International Journal of Forecasting, Elsevier, vol. 16(3), pages 333-347.
- Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
- Rebecca M. Blank, 1999. "What Goes Up Must Come Down? Explaining Recent Changes in Public Assistance Caseloads," JCPR Working Papers 78, Northwestern University/University of Chicago Joint Center for Poverty Research.
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