Are parents altruistic? Evidence from MexicoJournal articleChristian Schluter et Jackline Wahba, Journal of Population Economics, Volume 23, Issue 3, pp. 1025-1046, 2010

Are parents altruistic or selfish? We contribute to the continuing debate of this question by proposing a simple test which is implemented using experimental data from the Mexican anti-poverty programme PROGRESA. Benefit eligibility is randomised. Our estimation strategy explicitly addresses potentially confounding factors and selection bias problems. We reject selfishness of parents in non-urban Mexico as PROGRESA beneficiaries spend more on child-related goods and do not increase spending on adult-related goods compared to parents in the control group. At the same time, we reject some rival theories.

Edgeworth expansions and normalizing transforms for inequality measuresJournal articleChristian Schluter et Kees Jan van Garderen, Journal of Econometrics, Volume 150, Issue 1, pp. 16-29, 2009

Finite sample distributions of studentized inequality measures differ substantially from their asymptotic normal distribution in terms of location and skewness. We study these aspects formally by deriving the second-order expansion of the first and third cumulant of the studentized inequality measure. We state distribution-free expressions for the bias and skewness coefficients. In the second part we improve over first-order theory by deriving Edgeworth expansions and normalizing transforms. These normalizing transforms are designed to eliminate the second-order term in the distributional expansion of the studentized transform and converge to the Gaussian limit at rate O(n-1). This leads to improved confidence intervals and applying a subsequent bootstrap leads to a further improvement to order O(n-3/2). We illustrate our procedure' with an application to regional inequality measurement in Côte d'Ivoire.

Identifying multiple outliers in heavy-tailed distributions with an application to market crashesJournal articleChristian Schluter et Mark Trede, Journal of Empirical Finance, Volume 15, Issue 4, pp. 700-713, 2008

Heavy-tailed distributions, such as the distribution of stock returns, are prone to generate large values. This renders difficult the detection of outliers. We propose a new outward testing procedure to identify multiple outliers in these distributions. A major virtue of the test is its simplicity. The performance of the test is investigated in several simulation studies. As a substantive empirical contribution we apply the test to Dow Jones Industrial Average return data and find that the Black Monday market crash was not a structurally unusual event.

Local versus Global Assessment of MobilityJournal articleChristian Schluter et Mark Trede, International Economic Review, Volume 44, Issue 4, pp. 1313-1335, 2003

Mobility indices are popular tools designed to quantify the extent of income changes by aggregating “local” distributional change into a “global” scalar according to some rule. For some mobility measures, this aggregation rule is only implicit in their standard definition. We derive an insightful approximation to the (statistical) aggregation rule for the important class of mobility indices introduced by Shorrocks (Journal of Economic Theory 19 (1978), 376–93) and further generalized by Maasoumi and Zandvakili (Economic Letters 22 (1986), 97–102), which enables us to characterize their normative properties. We also develop methods for estimation and inference. A substantive empirical contribution emerges from the comparison of mobility between the United States and Germany. Our methods reveal why income mobility is higher in Germany than in the United States: Higher German mobility in the bottom of the distribution is combined with an implicitly higher weighting by the mobility index at the bottom.

Why Are Child Poverty Rates Higher in Britain than in Germany?: A Longitudinal PerspectiveJournal articleChristian Schluter et Stephen P. Jenkins, Journal of Human Resources, Volume 38, Issue 2, pp. 441-465, 2003

We analyze why child poverty rates were much higher in Britain than in Western Germany during the 1990s, using a framework focusing on poverty transition rates. Child poverty exit rates were significantly lower, and poverty entry rates significantly higher, in Britain. We decompose these cross-national differences into differences in the prevalence of “trigger events” (changes in household composition, household labor market attachment, and labor earnings), and differences in the chances of making a poverty transition conditional on experiencing a trigger event. The latter are the most important in accounting for the cross-national differences in poverty exit and entry rates.

Tails of Lorenz curvesJournal articleChristian Schluter et Mark Trede, Journal of Econometrics, Volume 109, Issue 1, pp. 151-166, 2002

No abstract is available for this item.

Welfare Measurement and Measurement ErrorJournal articleChristian Schluter et Andrew Chesher, Review of Economic Studies, Volume 69, Issue 2, pp. 357-378, 2002

The approximate effects of measurement error on a variety of measures of inequality and poverty are derived. They are shown to depend on the measurement error variance and functionals of the error-contaminated income distribution, but not on the form of the measurement error distribution, and to be accurate within a rich class of error-free income distributions and measurement error distributions. The functionals of the error-contaminated income distribution that approximate the measurement error induced distortions can be estimated. So it is possible to investigate the sensitivity of welfare measures to alternative amounts of measurement error and, when an estimate of the measurement error variance is available, to calculate corrected welfare measures. The methods are illustrated in an application using Indonesian household expenditure data. Copyright 2002 by The Review of Economic Studies Limited

Statistical Inference for Inequality and Poverty Measurement with Dependent DataJournal articleChristian Schluter et Mark Trede, International Economic Review, Volume 43, Issue 2, pp. 493-508, 2002

This article is about statistical inference for inequality and poverty measures when income data exhibit contemporaneous dependence across members of the same household. While much empirical research is based on household survey data such as the PSID, standard methods assume that income is an independent and identically distributed random variable. Applying them to contemporaneously dependent data produces biased results, and Monte Carlo experiments reveal that their confidence intervals are too narrow. By contrast, our proposed distribution-free estimators perform well. Copyright Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association

Child poverty in Germany: trends and persistenceBook chapterChristian Schluter, In: The Dynamics of Child Poverty in Industrialised Countries, Bruce Bradbury, Stephen P. Jenkins et John Micklewright (Eds.), 2001, pp. 154-173, Cambridge University Press, 2001
Statistical inference with mobility indicesJournal articleChristian Schluter, Economics Letters, Volume 59, Issue 2, pp. 157-162, 1998

No abstract is available for this item.