Martin Spindler

Professor at University of Hamburg

Universität Hamburg

Germany

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Positions (1)

Iris Kesternich

University Name

Hamburg Center for Health Economics (HCHE)

11 months ago

Health Economics

The Hamburg Center for Health Economics (HCHE) at the University of Hamburg is recruiting PhD students for its DFG Research Training Group "Managerial and Economic Dimensions of Health Care Quality," starting April 2026. The program offers an interdisciplinary environment combining economics, business administration, and medicine, with training in experimental and econometric methods. Research topics include decision-making in physician-patient interactions, adoption of new technologies in care, digital health contacts, health insurance impacts, informal care, provider incentives, post-acute infection syndromes, and more. Supervisors are leading professors in health economics and related fields. Applicants should hold a research-oriented Master’s degree in economics, business administration, or health economics with above-average results and ideally 300 ECTS points. Candidates from other disciplines with relevant qualifications may also apply. The program provides opportunities for seminars, conferences, and research stays abroad. Funding is typically provided through the DFG, covering stipend and tuition. The application deadline is 15 November 2025. For further details and to apply, visit the HCHE recruitment page.

11 months ago

Articles (1)

Heterogeneity in the US gender wage gap

As a measure of gender inequality, the gender wage gap has come to play an important role both in academic research and the public debate. In 2016, the majority of full-time employed women in the United States earned significantly less than comparable men. The extent to which women were affected by gender inequality in earnings, however, depended greatly on socio-economic characteristics, such as marital status or educational attainment. In this paper, we analyse data from the 2016 American Community Survey using a high-dimensional wage regression and applying double lasso to quantify heterogeneity in the gender wage gap. We find that the wage gap varied substantially across women and that the magnitude of the gap varied primarily by marital status, having children at home, race, occupation, industry, and educational attainment. These insights are helpful in designing policies that can reduce discrimination and unequal pay more effectively.

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Year:

2023