Bootstrap inference for inequality, mobility and poverty measurement
By Martin Biewen. 2002
202 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/c6716520d8ac6a2bb3d1f4a43036fda81f574e93
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Jean-Marie Dufour
- Emmanuel Flachaire
- Mame Astou Diouf
- Stephen G. Donald
- Kuan Xu
- G. Barrett
- S. Jenkins
- Russell Davidson
In Management, Monitoring, Policy and Law
- Kuan Xu
- Mame Astou Diouf
- Andos Juhász
- Eckhardt Bode
- Russell Davidson
- Jean-Marie Dufour
- Stephen G. Donald
- Emmanuel Flachaire
In Sociology and Political Science
- Stephen G. Donald
- Mame Astou Diouf
- Jean-Marie Dufour
- Emmanuel Flachaire
- P. Kerm
- Kuan Xu
- G. Barrett
- S. Jenkins
Citations in the corpus
- Asymptotic and Bootstrap Inference for Inequality and Poverty Measures (2007, methodology): “1 The simulation results of Biewen (2002) suggest that the bootstrap performs well in finite samples.”
- Improved Nonparametric Inference for the Mean of a Bounded Random Variable with Application to Poverty Measures (2005, methodology): “Among the major contributions, one can cite Knight (1989)[33], Beran (1988) [4], Burr (1994) [12], Hall (1992) [27], Mills and Zandvakili (1997)[34], Biewen (2002)[7], Cowell and Flachaire (2002)[15].”
- Statistical Inference with Generalized Gini Indices of Inequality, Poverty, and Welfare (2009, methodology): “The Monte Carlo comparisons use the CI approach to hypothesis testing, similar to the approach adopted by Biewen (2002) in studying the relative performance of asymptotic and bootstrap approaches to inference with momentbased indices of inequality and poverty.”
- Disproportionality Measures of Concentration, Specialization, and Localization (2008, methodology): “In the income inequality literature, two approaches have been used to calculate standard errors or probability intervals: asymptotic theory (Cowell 1989) and bootstrap methods (Mills and Zandvakili 1997; Biewen 2002).”
- The Measurement of Economic Inequality (2009, background): “4 See inter alia Biewen (2002) , Biewen and Jenkins (2006), Binder and Kovaˇ cevi´ c (1995), Davidson and”
- Trends in Income Inequality, Pro-Poor Income Growth and Income Mobility (2006, unknown): “Sample-specific outliers were also excluded in each decomposition.13 Standard errors for all statistics were obtained using bootstrap resampling methods that adjusted for the correlation of income within households and between panel interviews (see Shao & Tu 1995, Horowitz 2001, Biewen 2002).”
- How has the Literature on Gini's Index Evolved in the Past 80 Years? (2003, methodology): “Anand (1983) showed that equation (17) is consistent with the geometric definition given in equation (5).”
- Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006 (2012, methodology): “This is achieved by resampling from the universe of longitudinal household observations (see Biewen, 2002 for a discussion of these issues).”
- Mobility measurement,transition matrices and statistical inference (2004, background): “Several researchers (e.g., Trede, 1999; Schluter, 1998; Maasoumi and Trede, 2001; Biewen, 2002) have taken up this issue and begun to devise statistical inference procedures for the measurement of mobility.”