The German Socio-Economic Panel (SOEP)

Goebel, Jan; Grabka, Markus M.; Liebig, Stefan; Kroh, Martin; Richter, David; Schröder, Carsten; Schupp, Jürgen

doi:10.1515/jbnst-2018-0022

Cited by 742 publications

(549 citation statements)

References 12 publications

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“…This study makes use of individual and household data from the German Socio‐Economic Panel (SOEP; http://www.diw.de/en/soep; Schupp et alhttp://doi.org/10.5684/soep.v33.1). The SOEP is a representative study of the German population, which has been conducted since 1984 in the former Federal Republic of Germany (West) and since 1991 also in East Germany (Goebel et al, ). Our analysis is restricted to the West German sample and covers the years 1984–2016, that is 32 years.…”

Section: Data Methods and Variablesmentioning

confidence: 99%

“…Moreover, when the idea of a "proper family house" is tied to both housing type and homeownership, having lived in a parental family house with a garden may well increase the likelihood of homeownership. Our respective hypothesis is and since 1991 also in East Germany (Goebel et al, 2018). Our analysis is restricted to the West German sample and covers the years 1984-2016, that is 32 years.…”

Section: Hypothesesmentioning

confidence: 98%

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Intergenerational transmission of housing choice: The relevance of green spaces for moving into a family house across social class

Kley

Stenpaß

2020

Population Space and Place

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A proper family house is for many a self‐owned house with a private garden in a purely residential area. We analyse the relevance of having grown up in a parental home with a garden and in close proximity to green spaces for moving into a detached or terraced house for one or two families, whether rented or bought, which we call a “family house.” Simultaneously, we analyse whether the same predictors trigger becoming a homeowner, accounting for parental social class in both equations of bivariate probit models. On the basis of West German Socio‐Economic Panel data (1984–2016), the housing trajectories of respondents from age 16 are followed for up to 32 years (N = 8,005 persons). We find that having lived in a parental home with a garden increases the likelihood of moving into a family house but not the likelihood of first‐time homeownership. Likewise, parental homeownership increases exclusively the likelihood of adult children's first‐time homeownership. Parental home characteristics are found to be more important for adult children's housing type choice and tenure than social background. The results suggest that moves into a family house are triggered by intergenerational transmission of housing type preferences, whereas the transmission of homeownership is a parallel but distinguishable process. Additional findings about the importance of having lived close to public green spaces for both, housing choice and tenure, call for further research.

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Section: Data Methods and Variablesmentioning

confidence: 99%

Section: Hypothesesmentioning

confidence: 98%

Intergenerational transmission of housing choice: The relevance of green spaces for moving into a family house across social class

Kley

Stenpaß

2020

Population Space and Place

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“…This article aims at comparing both strategies of measuring sexual orientation in survey-based research: a) self-reported sexual identity, and b) a partnership-inferred indicator of sexual orientation. For our analysis, we rely on Socio-Economic Panel Study data (SOEP), see Goebel et al (2018). The SOEP is a nationally representative longitudinal survey of about 15,000 private households in Germany with annual interviews since 1984.…”

Section: Motivationmentioning

confidence: 99%

Comparing Self-Reported and Partnership-Inferred Sexual Orientation in Household Surveys

Kühne

Kroh

Richter

2019

Journal of Official Statistics

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Research comparing heterosexuals with bisexuals and homosexuals in economics and the social sciences typically relies on two strategies to identify sexual orientation in existing survey data of general populations. Probing respondents to self-report their sexual orientation is generally considered the preferred option. Since self-reports are unavailable in most large multidisciplinary surveys, often researchers infer sexual orientation from the gender-constellation of a respondent’s partnership instead. Based on German Socio-Economic Panel (SOEP) data, this article reviews both strategies empirically in the context of a household panel survey. The analysis shows that self-reported and partnership-inferred sexual orientation are not mutual substitutes, instead leading to substantively different conclusions about differences between heterosexuals and LGBs (Lesbian, Gays, and Bisexuals). The article discusses problems of non-coverage in partnership-inferred sexual orientation and also investigates measurement error in self-reported sexual orientation, finding notable mode and interviewer effects.

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“…3 For further information on the SOEP, seeGoebel et al (2019). 3 For further information on the SOEP, seeGoebel et al (2019).…”

mentioning

confidence: 99%

“…In 2017, the threshold on annual gross income was €57.600. 3 For further information on the SOEP, seeGoebel et al (2019).…”

mentioning

confidence: 99%

The effect of a ban on gender‐based pricing on risk selection in the German health insurance market

Huang

Salm

2019

Health Economics

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Starting from December 2012, insurers in the European Union were prohibited from charging gender-discriminatory prices. We examine the effect of this unisex mandate on risk segmentation in the German health insurance market.Although gender used to be a pricing factor in Germany's private health insurance (PHI) sector, it was never used as a pricing factor in the social health insurance (SHI) sector. The unisex mandate makes PHI relatively more attractive for women and less attractive for men. Based on data from the German socio-economic panel, we analyze how the unisex mandate affects the difference between women and men in switching rates between SHI and PHI. We find that the unisex mandate increases the probability of switching from SHI to PHI for women relative to men. On the other hand, the unisex mandate has no effect on the gender difference in switching rates from PHI to SHI. Because women have on average higher health care expenditures than men, our results imply a worsening of the PHI risk pool and an improvement of the SHI risk pool. Our results demonstrate that regulatory measures such as the unisex mandate can affect risk selection between public and private health insurance sectors.

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The German Socio-Economic Panel (SOEP)

Cited by 742 publications

References 12 publications

Intergenerational transmission of housing choice: The relevance of green spaces for moving into a family house across social class

Intergenerational transmission of housing choice: The relevance of green spaces for moving into a family house across social class

Comparing Self-Reported and Partnership-Inferred Sexual Orientation in Household Surveys

The effect of a ban on gender‐based pricing on risk selection in the German health insurance market

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