This paper investigates the impact of higher education on corporate innovation. To establish causality, we exploit a policy-induced exogenous shock in the supply of Chinese college-educated labor starting in 2003. Using a difference-in-differences approach, we find that Chinese firms in skilled industries generate better innovation outcomes as measured by patents and citations than those in unskilled industries. This effect is more pronounced among firms headquartered in a province with more science and engineering college graduates, young firms that are more likely to hire young graduates, and firms located near universities. Moreover, higher education expansion increases a firm's innovative human capital in terms of the number of educated employees and inventors. Finally, we show that technological innovation is a mechanism through which higher education affects productivity growth and, thus, the economy.

This paper investigates the impact of rank-and-file employees on corporate innovation. We show that paying higher relative wages to rank-and-file employees promotes better innovation outcomes in terms of patent quantity and quality. This effect is more significant among firms with large proportions of skilled employees, industries with high levels of R&D intensity, provinces with competitive local labor markets, and non-SOEs. Further analyses reveal that efficiency wages can serve as an underlying economic channel that fosters innovation by retaining and attracting valuable human capital and stimulating their working enthusiasm. Finally, we show that technological innovation is a mechanism through which rank-and-file employees affect productivity growth and thereby affect the economy.

This study assesses a new mechanism, the deposit channel, in the transmission of interest rate shock to household consumption using an administrative panel data set of financial transactions for Turkey. Our empirical strategy exploits variation in consumers' adherence to the Islamic laws that forbid earning interest and employs a standard difference-in-difference design. Following an unanticipated announcement of interest rate hike, rate-sensitive consumers significantly reduce their overall spending, and the response persists throughout the post-announcement period. The response of debt payment, disparate exposure to inflation, exchange rate, and the demographic difference can hardly fully account for the documented consumption response heterogeneity.

Gender gap can arise due to various factors—socio-economic, culture, risk attitudes, and macro-economic circumstances. Using a unique dataset that merges motor vehicle events with bankruptcy outcomes and personal data from Singapore, this study finds significant evidence of a gender gap in personal bankruptcy risk. We show that women’s odds of being involved in bankruptcy events are 28% of those of men after controlling for demographic variables, housing type, cultural and spatial fixed effects. Using motor vehicle accidents as an instrument, we confirm that the gender gap in bankruptcy risk is mainly driven by risk-taking behavior. The heterogeneity analyses show that culture also explains part of the difference. Chinese, Indian, and Malay women have differential bankruptcy rates in Singapore.

This paper adopts a novel approach to examine the roles of gender difference and intra-household economic power in mortgage signing order. We develop an “economic power” index based on relative economic power within the same-sex couple households. We then use this measure along with gender identity and other factors to explain signing order in different-gender couples. Our results suggest that, while pure economic power explains much of the observed signing order, gender difference plays an important role. Analysis exploiting regional variation reveals that gender difference in signing order is greater in states with a larger gender wage gap and red states whose residents predominantly vote for the Republican.

Using a novel scanner data and difference-in-differences strategy, we assess how consumers respond to a large-scale tax reform in India that introduces exogenous variations in tax rate changes at the product level. We show evidence of a strong and persistent spending response to tax rate changes. The response is highly asymmetrical, with consumers responding significantly more strongly to tax rate increases than to decreases. We find empirical support for both intertemporal and cross-product substitution effects: Households (1) shift consumption forward preceding a tax increase and (2) substitute one good for another and alter their relative weight in the consumption basket to avoid paying higher tax. Heterogeneity analysis indicates that consumers with more personal shopping experience exhibit stronger consumption responses. Our findings have empirical implications for the efficacy of tax policy initiatives.

Using a comprehensive sample of credit card data from a leading Chinese bank, we show that government bureaucrats receive 16% higher credit lines than non-bureaucrats with similar income and demographics, but their accounts experience a significantly higher likelihood of delinquency and debt forgiveness. Regions associated with greater credit provision to bureaucrats open more branches and receive more deposits from the local government. After staggered corruption crackdowns of provincial-level political officials, the new credit cards originated to bureaucrats in exposed regions do not enjoy a credit line premium, and bureaucrats’ delinquency and reinstatement rates are similar to those of non-bureaucrats.

The mandatory switch from the incurred loss model to the more forward‐looking current expected credit loss (CECL) model was originally scheduled to begin in 2020. However, when the COVID‐19 pandemic started in early 2020, US regulators made the switch voluntary. Our study investigates how banks' exposure to the pandemic affects their decision to adopt CECL as well as adopting banks' pandemic‐era pattern of loan loss provisions. First, consistent with pandemic‐driven economic uncertainty reducing banks' willingness to adopt the new model, we find a negative association between banks' pandemic exposure and their CECL adoption. This association is more pronounced for banks with more lending opportunities, more lending competition, and worse loan quality. Second, compared with non‐adopters, CECL adopters report more loan loss provisions during the pandemic's early period, and less or even negative loan loss provisions during the late period. The latter scenario reflects a reversal of earlier loan loss reserves and is more pronounced for banks with more exposure to states with a higher level of vaccination, consistent with banks having a more positive economic outlook because of improving pandemic conditions. Overall, our study offers useful insights into the adoption and implementation of accounting standards during periods of economic uncertainty.