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I3W

Financiado

Inequality in work, wealth, and welfare

I3W aims at generating empirical knowledge and novel theories to explain the joint distribution of work, wealth, and welfare in the population using macroeconomic theory, structural quantitative models, and micro data. Specificall... ver más

31/03/2026

NHH

211K€

Presupuesto del proyecto: 211K€

Líder del proyecto

NORGES HANDELSHOYSKOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-03-04

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

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NHH

210.91K€ | Lider

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Duración del proyecto: 24 meses Fecha Inicio: 2024-03-04
Fecha Fin: 2026-03-31

Líder del proyecto

NORGES HANDELSHOYSKOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 211K€

Descripción del proyecto I3W aims at generating empirical knowledge and novel theories to explain the joint distribution of work, wealth, and welfare in the population using macroeconomic theory, structural quantitative models, and micro data. Specifically, I3W’s overall goal will be achieved through the following research objectives and their corresponding work packages (WP): I. Develop a macroeconomic framework of the drivers of welfare inequality. In WP1 I will develop a model based on expected utility—a function of lifetime consumption, lifetime leisure, and life expectancy and their joint distributions—for measuring inequality in economic well-being within a country using rich longitudinal datasets. This framework will allow me to measure and decompose the welfare inequality in a selection of European countries and compare to the US over time, allowing a deeper understanding of the observed heterogeneity in the population along various dimensions: life expectancy, hours worked, wealth, income, consumption, and ultimately also welfare. II. Analyze underlying factors affecting the drivers: the case of inequality of leisure in relation to access to insurance. In WP2 I will test the hypothesis that better insurance, interpreted in its most general form, leads to a more positive correlation between wages and hours worked. I will base my arguments on observations from micro data, show it theoretically using a theory of labor supply that is consistent with cross-country evidence, evidence over time, and evidence from micro data, and quantify the importance in practice with a carefully calibrated heterogenous-agent model. The outputs of WP1 and WP2 will be two working papers that will push the current boundaries of the welfare inequality research field while providing policymakers a tool box for the analysis and comparison across European countries of welfare inequality and its drivers.

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