Social connections are fundamental to human wellbeing. This paper examines the social networks of young married women in rural Odisha, India.. This is a group, for whom highly-gendered norms around marriage, mobility, and work are likely to shape opportunities to form and maintain meaningful ties with other women. We track the social networks of 2,170 mothers over four years, and find a high degree of isolation. Wealthier women and women more-advantaged castes have smaller social networks than their less-advantaged peers. These gradients are primarily driven by the fact that more-advantaged women are less likely to know other women within their same socioeconomic group than are less-advantaged women are. There exists strong homophily by socioeconomic status that is symmetric across socioeconomic groups. Mediation analysis shows that SES differences in social isolation are strongly associated to caste, ownership of toilets and distance. Further research should investigate the formation and role of female networks.
How will an improved information environment affects competition and market performance when consumers face search frictions? This paper provides a unified way to model information improvement that makes the search pool more “selective” (e.g., due to personalized recommendations), or more “informative” (e.g., due to the availability of more detailed product information). Information improvement tends to induce consumers to search less, intensify price competition and benefit consumers, if the search friction is small, or if information improvement truncates the match utility distribution from below. More generally, however, it is also possible for information improvement to raise the market price and harm consumers.
Open banking facilitates data sharing consented to by customers who generate the data, with the regulatory goal of promoting competition between traditional banks and challenger fintech entrants. We study lending market competition when sharing banks’ customer transaction data enables better borrower screening. Open banking can make the entire financial industry better off yet leave all borrowers worse off, even if borrowers have the control of whether to share their banking data. We highlight the importance of the equilibrium credit quality inference from borrowers’ endogenous sign-up decisions. We also study extensions with fintech affinities and data sharing on borrower preferences.
Nine U.S. recessions and three expansions are analyzed in this paper using a structural macroeconometric model. With two exceptions and one partial exception, the episodes are predicted well by the model, including the 2008-2009 recession, conditional on the actual values of the exogenous variables. The main exogenous variables are stock prices, housing prices, import prices, exports, and exogenous government policy variables. Monetary policy is endogenous. Fluctuations in stock and housing prices (housing prices after 1995) are important drivers of output fluctuations—large wealth effects on household expenditures. In explaining the 2008-2009 recession detailed financial variables such as credit-constraint variables are not needed for the aggregate predictions. The sluggish recovery after the 2008-2009 recession is explained in large part by sluggish government spending. There is no evidence of secular stagnation.
Nine U.S. recessions and three expansions are analyzed in this paper using a structural macroeconometric model. With two exceptions and one partial exception, the episodes are predicted well by the model, including the 2008-2009 recession, conditional on the actual values of the exogenous variables. The main exogenous variables are stock prices, housing prices, import prices, exports, and exogenous government policy variables. Monetary policy is endogenous. Fluctuations in stock and housing prices (housing prices after 1995) are important drivers of output fluctuations—large wealth effects on household expenditures.
Inversion of the yield curve has come to be viewed as a leading recession indicator. Unsurprisingly, some recent instances of inversion have attracted attention from economic commentators and policymakers about possible impending recessions. Using a variety of time series models and recent innovations in econometric method, this paper conducts quasi-real-time forecasting exercises to investigate whether the predictive capability of the yield curve extends to forecasting economic activity in general and whether removing the term premium component from yields affects forecast accuracy. The empirical findings for the US, Australia, and New Zealand show that forecast performance is not improved either by augmenting simplistic models with information from the yield curve or by making such a decomposition of yields. Results from similar research exercises in previous work in the literature are mixed. The results of the present analysis suggest possible explanations that reconcile these conflicting results.
A data broker sells market segmentations created by consumer data to a producer with private production cost who sells a product to a unit mass of consumers with heterogeneous values. In this setting, I completely characterize the revenue-maximizing mechanisms for the data broker. In particular, every optimal mechanism induces quasi-perfect price discrimination. That is, the data broker sells the producer a market segmentation described by a cost-dependent cutoff, such that all the consumers with values above the cutoff end up buying and paying their values while the rest of consumers do not buy. The characterization of optimal mechanisms leads to additional economically relevant implications. I show that the induced market outcomes remain unchanged even if the data broker becomes more active in the product market by gaining the ability to contract on prices; or by becoming an exclusive retailer, who purchases both the product and the exclusive right to sell the product from the producer, and then sells to the consumers directly. Moreover, vertical integration between the data broker and the producer increases total surplus while leaving the consumer surplus unchanged, since consumer surplus is zero under any optimal mechanism for the data broker.