The male marital earnings premium contextualized: Longitudinal evidence from the United States, Germany, and the United Kingdom

Schechtl, Manuel; Kapelle, Nicole

doi:10.1111/jomf.12937

Cited by 4 publications

(1 citation statement)

References 56 publications

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“…Indeed, TWFE has been extensively applied to a wide range of social science topics, such as the effect of various demographic events on labour market outcomes (Brüderl et al 2019;Schechtl and Kapelle 2023;Struffolino and Van Winkle 2023;Zoch 2023), the impact of policy measures or political parties (Aksoy and Gambetta 2021;Currie, Voorheis, and Walker 2023;Dochow and Neumeyer 2021;Kneip and Bauer 2009), or the influence of environmental shocks (Currie, Davis, et al 2015;Osberghaus and Fugger 2022;Rüttenauer 2023).…”

Section: Introductionmentioning

confidence: 99%

When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators

Rüttenauer,

Aksoy

2024

Preprint

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The conventional Two-Way Fixed-Effects (TWFE) estimator has been under strain lately. Recent literature has revealed potential shortcomings of TWFE when the treatment effects are heterogeneous. Scholars have developed new advanced dynamic Difference-in-Differences (DiD) estimators to tackle these potential shortcomings. However, confusion remains in applied research as to when the conventional TWFE is biased and what issues the novel estimators can and cannot address. In this study, we first provide an intuitive explanation of the problems of TWFE and elucidate the key features of the novel alternative DiD estimators. We then systematically demonstrate the conditions under which the conventional TWFE is inconsistent. We employ Monte Carlo simulations to assess the performance of dynamic DiD estimators under violations of key assumptions, which likely happens in applied cases. While the new dynamic DiD estimators offer notable advantages in capturing heterogeneous treatment effects, we show that the conventional TWFE performs generally well if the model specifies an event-time function. All estimators are equally sensitive to violations of the parallel trends assumption, anticipation effects or violations of time-varying exogeneity. Despite their advantages, the new dynamic DiD estimators tackle a very specific problem and they do not serve as a universal remedy for violations of the most critical assumptions. We finally derive, based on our simulations, recommendations for how and when to use TWFE and the new DiD estimators in applied research.

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Section: Introductionmentioning

confidence: 99%

When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators

Rüttenauer,

Aksoy

2024

Preprint

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Low Income, Ill-being, and Gender Inequality: Explaining Cross-National Variation in the Gendered Risk of Suffering Among the Poor

Araki,

Olivos

2024

Soc Indic Res

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Scholars have long investigated the positive link between income and well-being, including its gender difference. However, little is known about (1) how low income is linked to ill-being among women and men; and (2) how their association varies depending on societal-level gender (in)equality. Filling this knowledge gap is crucial not only for scholarship but for social policy to tackle income-based disparities of ill-being. In this study, using the European Social Survey and the joint European Values Study-World Values Survey data, we conduct country-specific regressions and cross-national multilevel analyses to examine the relationship between low income, subjective ill-being (SIB), and macro-level gender parity. We first confirm that low-income individuals, regardless of gender, are more likely than their affluent counterparts to suffer from SIB in many countries. This indicates the applicability of implications derived from conventional approaches focused on the positive association between higher income and better well-being to the studies on low income and SIB. Nevertheless, the SIB risk significantly differs depending on the degree of gender inequality in that (1) both women and men face a higher likelihood of SIB in gender-inegalitarian societies; and importantly, (2) the psychological penalty for the poor is intensified under such gendered circumstances, especially among men. These results suggest that gender inequality not merely induces women’s ill-being but punishes low-income men possibly by exacerbating pressure as a breadwinner and imposing stigmas when they cannot meet gendered social expectations.

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Declining Marriage Rates and The Collapse of Household Savings 1980–2014

Pugliese

2024

Can. Stud. Popul.

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The male marital earnings premium contextualized: Longitudinal evidence from the United States, Germany, and the United Kingdom

Cited by 4 publications

References 56 publications

When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators

When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators

Low Income, Ill-being, and Gender Inequality: Explaining Cross-National Variation in the Gendered Risk of Suffering Among the Poor

Declining Marriage Rates and The Collapse of Household Savings 1980–2014

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