Publications Based on SOEP Data: SOEPlit

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  • Discrimination in Employment in the Federal Republik of Germany

    In: Georgia Journal of International and Comparative Law 20 (1990), 1, 105-121 | Uschi Backes-Gellner, Bernd Frick
  • Evolution and Determinants of Rent Burdens in Germany

    The affordability of housing has become a major topic of discussion in Germany among both social scientists and the public at large. Using data from the German Socio-Economic Panel (SOEP), we provide rent-income ratios over more than two decades and show how they change with households’ disposable needs-adjusted income. We find a substantial increase in the ratios over the 1990s. In the decade that ...

    Berlin: DIW Berlin, 2015,
    (SOEPpapers 806)
    | Teresa Backhaus, Kathrin Gebers, Carsten Schröder
  • Welfare States, Social Structure and the Dynamics of Poverty Rates: A Comparative Study of 16 Countries, 1980-2000

    Syracuse: Syracuse University, Maxwell School, 2005,
    (Luxembourg Income Study Working Paper No. 408)
    | Olof Bäckmann
  • Income Taxation and Household Size: Would French Family Splitting Make German Families Better off?

    Bonn: Institute for the Study of Labor (IZA), 2005,
    (IZA DP No. 1894)
    | Alexandre Baclet, Fabien Dell, Katharina Wrohlich
  • Assortative mating on risk attitude

    Spousal correlation in risk attitude is estimated using data from the German Socio-Economic Panel over the period 2004–2009. We apply the bivariate panel ordered probit model to the analysis of the simultaneous determination of the male’s and the female’s risk attitude, using the survey question about general willingness to take risk, provided on a 0–10 Likert-scale. The correlations between both the ...

    In: Theory and Decision 77 (2014), 3, 389-401 | Philomena M. Bacon, Anna Conte, Peter G. Moffatt
  • Impact of weighting systems on panel surveys (ECHP and SOEP, PSELL2)

    Destatis, 2003,
    (CHINTEX Working Paper #18)
    | Sébastien Badina, Uwe Warner
  • Risk Attitudes and Investment Decisions across European Countries. Are Women More Conservative Investors than Men?

    This study questions the popular stereotype that women are more risk averse than men in their financial investment decisions. The analysis is based on micro-level data from large-scale surveys of private households in five European countries. In our analysis of investment decisions, we directly account for individuals’ self-perceivedwillingness to take financial risks. The empirical evidence we provide ...

    Berlin: DIW Berlin, 2009,
    (SOEPpapers 224)
    | Oleg Badunenko, Nataliya Barasinska, Dorothea Schäfer
  • Investments: Women are more cautious than men because they have less financial resources at their disposal

    Experts on investments and financial products assume that women are less amenable to risks and therefore put their money into secure investment products. A current study conducted by the DIW Berlin (German Institute for Economic Research) challenges this view. The study demonstrates that men and women are equally likely to take a chance on risky investments - assuming that they have the same financial ...

    In: Weekly Report 6 (2010), 1, 1-4 | Oleg Badunenko, Nataliya Barasinska, Dorothea Schäfer
  • Consistent estimation of the fixed effects ordered logit model

    The paper considers panel data methods for estimating ordered logit models with individual-specific correlated unobserved heterogeneity. We show that a popular approach is inconsistent, whereas some consistent and efficient estimators are available, including minimum distance and generalized method-of-moment estimators. A Monte Carlo study reveals the good properties of an alternative estimator that ...

    In: Journal of the Royal Statistical Society, Series A (Statistics in Society) 178 (2015), 3, 685-703 | Gregori Baetschmann, Kevin E. Staub, Rainer Winkelmann
  • A Dynamic Hurdle Model for Zero-Inflated Count Data: With an Application to Health Care Utilization

    Excess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process has two rates, a lower rate until the first event, and a higher one thereafter. We derive the corresponding distribution of the number of events during a fixed period and extend it to account for observed ...

    In: Communications in Statistics - Theory and Methods 46 (2017), 14, 7174-7187 | Gregori Baetschmann, Rainer Winkelmann
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