25 Years IWH

Philip Maschke

Philip Maschke
Current Position

since 7/15

Member of the Research Data Centre

Halle Institute for Economic Research (IWH) – Member of the Leibniz Association

Research Interests

  • alternative welfare measures
  • welfare economics

Philip Maschke is assigned to the Seed Fund Project “Alternative Welfare Measures and Quality of Life Indicators at the NUTS-2 Level - A Feasibility Study“.

Philip Maschke studied economics at the University of Potsdam and at Umeå University (Sweden). From 2011 until 2015, he was a research assistant at the Department for Business and Economics at the University of Applied Sciences Merseburg. He is a PhD candidate at the University of Potsdam with a research focus on alternative welfare measures.

Your contact

Philip Maschke
Philip Maschke
Mitglied - Department Forschungsdatenzentrum
Send Message +49 345 7753-860

Publications

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Multidimensional Well-being and Regional Disparities in Europe

Jörg Döpke Andreas Knabe Cornelia Lang Philip Maschke

in: Journal of Common Market Studies , forthcoming

Abstract

Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level – we construct a set of composite well-being indices. We analyze the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in real GDP per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indices instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would be eligible for EU funds.

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Alternatives to GDP - Measuring the Impact of Natural Disasters using Panel Data

Jörg Döpke Philip Maschke

in: Journal of Economic and Social Measurement , No. 3, 2016

Abstract

A frequent criticism of GDP states that events that obviously reduce welfare of people can nevertheless increase GDP per capita. We use data of natural disasters as quasi experiments to examine whether alternatives to GDP (Human Development Index, Progress Index, Index of Economic Well-Being and a Happiness Index) lead to more plausible responses to disasters. Applying a Differences-in-Differences approach and estimates from various panels of countries we find no noteworthy differences between the response of real GDP per capita and the responses of suggested alternative welfare measures to a natural disaster except for the Human Development Index.

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Are there Business Cycles “beyond GDP“? Alternative Measures to GDP at Business Cycle Frequencies

Jörg Döpke Philip Maschke

in: Applied Economics Quarterly , No. 2, 2015

Abstract

We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.

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Working Papers

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Multidimensional Well-being and Regional Disparities in Europe

Jörg Döpke A. Knabe Cornelia Lang Philip Maschke

in: IWH Discussion Papers , No. 13, 2016

Abstract

Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita.

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