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Imagen Seminario CEDE - Rodrigo Martinez-Mazza
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Seminario CEDE - Rodrigo Martinez-Mazza

Young individuals are currently living with their parents more than at any other point in time, while also spending more on housing. In this paper, I first show how labor market entry conditions affect housing tenure and affordability in the long term, by using the unemployment rate at the time of graduation as an exogenous shock to income. I perform this analysis across Europe for the last 25 years. Results indicate that a 1 pp increase in the unemployment rate at the time of graduation leads, one year after, to (1) a 1.50 pp increase in the probability of living with parents, (2) a 1.02 pp decrease in the probability of home-ownership and 0.45 pp decrease in renting, and (3) worse affordability. Second, I develop an OLG model to link income shocks for young agents with changes in housing tenure at the aggregate level. I allow for an outside option for landlords which can introduce rigidity into the rental market. Results show that if rental markets are rigid, an income shock to young agents will translate into a larger share of them living with their parents, worse affordability, and larger welfare losses. Finally, I perform a policy exercise based on the French housing aid system. I show that housing aid policies can help to recover welfare losses for young agents, by enabling them to afford to rent. Recognizing the right scenario for the implementation of these policies is key to ensure welfare gains concentrate on the targeted population. Ver documento

10:00 am
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Imagen Seminario CEDE - Ezequiel Garcia Lembergman
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Seminario CEDE - Ezequiel Garcia Lembergman

I study whether and how retail chains and their geographic distribution of stores contribute to the propagation of shocks across regions in the United States. Linking detailed store scanner micro-data to a county-level house price dataset for the period of the Great Recession, I investigate the spread of house-price induced local shocks through the networks of retail chains. My main empirical finding is that county-level prices are sensitive to shocks in distant counties that happen to be served by the same retail chains. A 10% drop in house prices in other counties that are served by the same retailers leads, on average, to a 1.4% decline in the local consumer retail price index. My results hold after conditioning on trade relationships due to geographic proximity. In fact, I document that once the retail chains' networks are controlled for, there is no additional role for propagation of shocks across nearby regions. Finally, while the network of retail chains is an important determinant of the effect local shocks have on consumer prices, it does not affect wages in distant regions, which suggests that the network of retail chains affects consumers' real income. I rationalize the reduced-form estimates in a model in which retail chains vary prices uniformly across their stores as a function of changes in market demand that they face at the (aggregate) chain level. I find that the calibrated model with uniform pricing can fully account for the reduced-form effects. Counterfactual analysis shows that uniform pricing and the geographic distribution of retail chains reduced cross-county dispersion in inflation by 40% during the Great Recession, benefiting consumers from low-income counties that were less exposed to drops in local house prices. Ver documento

10:00 am
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Imagen Seminario CEDE - Umberto Muratori
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Seminario CEDE - Umberto Muratori

This paper investigates the differences in markups between and within cohorts of US firms. I document substantial between-cohort differences and a relatively flat profile over time within cohorts. The paper uses administrative patent data to provide suggestive evidence that knowledge creation and diffusion explain these patterns. Namely, the between-cohorts pattern is associated with improvements in the innovation quality, and the within-cohort pattern is the result between the interaction of innovation and knowledge diffusion. Motivated by this new empirical evidence, I develop a general equilibrium endogenous growth model of creative destruction augmented with knowledge diffusion. I build the model for two purposes. First, I estimate the changes in the intensity of knowledge diffusion. I find knowledge diffuses 38% faster in 2010 than it did in 1980. Second, I quantify the effect of changes in the innovation step size and intensity of knowledge diffusion on growth and welfare. The quantitative exercises show the consumption-equivalent welfare increases by 0.29% if the innovation step size and intensity of knowledge diffusion increase from their 1980 to their 2010 values. By contrast, the counterfactual experiments highlight the increase in these parameters has no substantial effect on growth. Changes in the innovation quality and the speed of knowledge spillover can be achieved by reforming the patent system, such as changing the non-obviousness requirements or the patent term. The findings suggest policymakers, who aim to maximize the welfare, should choose short patent terms and low innovative-step requirements. Ver documento  

10:00 am
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Imagen Seminario CEDE - Joana Duran-Franch
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Seminario CEDE - Joana Duran-Franch

The participation of women in the U.S. labor market increased during the past century. However, progress stalled and since 2000 the employment rate of women has not progressed. These changes are driven by the least educated women who have decreased their employment rate. In parallel, potential employment opportunities for this demographic group have grown: Service and clerical occupations, traditional sources of employment for low-educated women, have experienced employment growth over this period. I show empirically that the decline of employment in blue-collar occupations helps reconcile these two facts: Low-educated men, employed in blue-collar occupations and now out of employment, entered services and clerical occupations; blurring the existing gender-based occupational segregation and crowding some low-educated women out. I establish a causal link between these changes using an IV strategy and exploiting the cross-section variation at the local labor market level. I formalize a static general equilibrium model where individuals, who are heterogeneous in gender, education level and skills, decide which occupation type to sort into. The model is able to replicate the labor reallocation observed in the data by gender and level of education. The model shows that demographic changes have masked the effect of the demanualization in the labor market. The demanualization, driven by labor-saving technology improvements in blue-collar occupations, has decreased the aggregate employment rate of low-educated women from 1990-2016 by 8.1 percentage points, the same magnitude by which it has affected men. For men, the aggregate effect is smaller than the direct one on blue-collar employment, since low-educated men have relocated to other occupations. For women, 51% of the aggregate change corresponds to the direct effect on blue-collar employment; 49%, to the indirect crowding-out effect.

10:00 am
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