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Inequality in work, wealth, and welfare

Descripción del proyecto

Desvelar las disparidades económicas de Europa en trabajo, riqueza y bienestar

En el panorama mundial actual, las marcadas disparidades en el trabajo, la riqueza y el bienestar asolan las sociedades, generando una profunda desigualdad económica. Dicho desequilibrio no solo socava la cohesión social, sino que también ahoga las oportunidades de crecimiento y prosperidad. Con el apoyo de las acciones Marie Skłodowska-Curie, el equipo de I3W pretende desentrañar las complejidades que subyacen a la desigualdad social. A través de objetivos de investigación meticulosamente elaborados, como el desarrollo de marcos macroeconómicos y el análisis de los factores subyacentes que afectan a los impulsores del bienestar, el equipo del proyecto pretende aportar conocimientos profundos sobre las causas profundas de la desigualdad. Al generar conocimientos empíricos y teorías novedosas, el equipo de I3W se esfuerza no solo por ampliar los límites de la investigación sobre la desigualdad del bienestar, sino también por dotar a los responsables políticos de herramientas inestimables para la comparación y el análisis entre países.

Objetivo

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.

Coordinador

NORGES HANDELSHOYSKOLE
Aportación neta de la UEn
€ 210 911,04
Coste total
Sin datos