DIW Berlin: Publications Based on SOEP Data: SOEPlit

Real Standards of Living and Public Support for Children: A Cross-National Comparison

Syracuse: Syracuse University, Maxwell School, 2002,
(Luxembourg Income Study Working Paper No. 345) | Timothy M. Smeeding

No Child Left Behind?

In: Indicators 1 (2003), 3, 6-30 | Timothy M. Smeeding

Public Policy and Economic Inequality: The United States in Comparative Perspective

Syracuse: Syracuse University, Maxwell School, 2004,
(Luxembourg Income Study Working Paper No. 367) | Timothy M. Smeeding

Causes and Conditions of Social Vulnerability in Comparative Perspective: Asian Evidence from the LIS Dataset

Syracuse: Syracuse University, Maxwell School, 2005,
(Luxembourg Income Study Working Paper No. 417) | Timothy M. Smeeding

Government Programs and Social Outcomes: The United States in Comparative Perspective

Syracuse: Syracuse University, Maxwell School, 2005,
(Luxembourg Income Study Working Paper No. 426) | Timothy M. Smeeding

Poor People in Rich Nations: The United States in Comparative Perspective

In: Journal of Economic Perspectives 20 (2006), 1, 69-90 | Timothy M. Smeeding

Elder Poverty in an Ageing World: Conditions of Social Vulnerability and Low Income for Women in Rich and Middle-Income Nations

Luxembourg: Luxembourg Income Study (LIS), 2008,
(Luxembourg Income Study Working Paper No. 497) | Timothy M. Smeeding, Qin Gao, Peter Saunders, Coady Wing

Why does consumption fall at retirement? Evidence from Germany

In: Economics Letters 89 (2005), 3, 300-305 | Guido Schwerdt

Changes in Human Capital: Implications for Productivity Growth in the Euro Area

Munich: Ifo Institute for Economic Research at the University of Munich, 2007,
(Ifo Working Paper No. 53) | Guido Schwerdt, Jarkko Turunen

Semiparametric one-step estimation of a sample selection model with endogenous covariates

This paper considers semiparametric estimation of a sample selection model with endogenous covariates. In contrast to the existing literature, endogenous covariates are explicitly allowed in the main equation of interest as well as in the selection equation. A one-step GMM estimator based on polynomial approximations of unknown functions is proposed. It is shown that the estimator is consistent and ...

In: AStA Advances in Statistical Analysis 99 (2015), 4, 379-402 | Jörg Schwiebert

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