Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality

By Russell Davidson, Jean-Yves Duclos. 2000

976 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bd737b3e7ccbf1105c40306616e561ebe7861ecb

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In Sociology and Political Science

Citations in the corpus

Consistent Nonparametric Tests for Lorenz Dominance (2014, background): “Davies, Green, and Paarsch (1998), Dardanoni and Forcina (1999), and Davidson and Duclos (2000) presented tests for Lorenz dominance based on a predetermined grid of points.”
Inequality of opportunity in the land of opportunities, 1968–2001 (2009, methodology): “It is nonparametric and based on Davidson and Duclos [14].”
An Improved Bootstrap Test of Stochastic Dominance (2010, background): “McFadden (1986), Klecan, McFadden and McFadden (1991), Kaur, Prakasa Rao, and Singh (1994), Anderson (1996) and Davidson and Duclos (1997, 2000) are among the early works that considered testing stochastic dominance.”
Robust stochastic dominance: A semi-parametric approach (2007, neutral): “[4] and Davidson and Duclos [9].”
Robust Multidimensional Poverty Comparisons (2006, neutral): “Extension of the result of Theorem 3 to any additive multidimensional poverty indices is straightforward, and simply requires substituting in (14) the relevant functions π(x, y; λ) for ((zy − y)y + (zx − x)x + .”
The Measurement of Inequality of Opportunity: Theory and an Application to Latin America (2008, neutral): “Statistical tests for stochastic dominance (Davidson and Duclos, 2000) are therefore not reported in this paper.”
Firm Turnover in Imperfectly Competitive Markets (2006, positive): “Using non-parametric tests of ̄rst-order stochastic dominance (Anderson (1996); Davidson and Duclos (2000)), we ̄nd empirical support for both predictions. The starting point of the recent literature on stochastic dynamic industry equilibria with heterogenous ̄rms is the seminal paper by Jovanovi”
Bootstrap inference for inequality, mobility and poverty measurement (2002, background): “Although standard asymptotic methods are in principle capable of dealing with such diIculties (see Davidson and Duclos, 1997, 2000; Wiegand, 1998; Van de gaer et al., 1999), the resulting estimates usually require cumbersome covariance calculations.”
Improving the Power of Tests of Stochastic Dominance (2016, methodology): “The importance of higher order stochastic dominance is discussed by McFadden (1989), Anderson (1996), Davidson and Duclos (2000), and BD. SD2 of Y over X require that the welfare function gives the same ordering for any monotonically increasing and concave function U , i.e., U ′(z) ≥ 0 and U ′′(z)…”
Test Statistics for Prospect and Markowitz Stochastic Dominances with Applications (2011, positive): “We note that Davidson and Duclos (2000) require each of the series, say {fi} and {gi}, to be iid.”