How does information sharing affect consumers' usage of FinTech credit? Using a unique dataset of ``Buy Now, Pay Later (BNPL)" users from a large digital platform and exploiting a credit reporting policy change, we document that consumers significantly reduce their usage of BNPL credit when the BNPL lender becomes subject to credit reporting regulation. This reduction is more pronounced among borrowers with previous default records, who also become more disciplined in repayment behaviors, than those without such records. The decrease in BNPL usage also leads to a reduction in online consumption, supporting the financial constraint hypothesis. Our results suggest that information sharing can help alleviate overborrowing and overspending, with stronger effects observed among younger borrowers, those who previously consumed more, or those with credit cards. We also highlight the synergies between BNPL lending and Big Tech platforms' ecosystems, which imperfectly substitute for formal enforcement institutions.

We investigate the effect of the Consumer Financial Protection Bureau’s 2015 disclosure of complaint narratives on reducing racial disparities in financial services. Employing a triple-differences approach that compares the performance of affected and unaffected financial institutions across communities with varying racial compositions, we find that post-disclosure, minority communities experience welfare enhancements. These include higher savings interest rates (amounting to over $50 million annually), reduced maintenance fees, and lower interest rates on auto loans and credit cards. The research emphasizes the broad impact of service quality disclosure in mitigating racial disparities in savings and lending markets.

Amongst major economies, China has been taking a lead in the development of central bank digital currency (CBDC), which has generated widespread interest and impact around the globe. China’s CBDC, commonly known as e-CNY, is designed with several distinctive features, enabling it to compare favorably to other payment methods such as credit cards, mobile payment, unbacked cryptocurrency, and stablecoins. A variety of social, economic, political, and regulatory reasons can be identified to help explain China’s active pursuit of CBDC. However, the prospect of success will be affected by many factors and may vary between the domestic and international markets. This paper argues that the adoption of eCNY will likely succeed domestically, but may face more challenges in the international markets. The development of e-CNY seems to have created a catfish effect on other major economies in the race for CBDC. It is not fully clear, however, that the CBDC race will be better explained by the first-mover or the late-mover advantage theory. The CBDC project will have both public and private law implications, and several legal issues warrant particular attention in relation to the legal status of CBCD, the role and responsibility of the central bank, legal remedies for losses suffered by CBDC users from cybersecurity issues and operational problems, and the issue of data privacy and protection.

I show that issuing credit cards helps the bank compete for retail deposits in China. When credit card growth increases by 1%, retail deposit growth is expected to rise by 0.2% with regard to peers next year. This effect is stronger for small joint-stock banks compared with big state-owned banks. This is realized by introducing new credit card holders to visit the branch and open a savings account. DID test shows that after a shock that tightened new account opening, banks with higher credit card growth experienced a harsher decline in retail deposit growth. This paper highlights the customer introducing benefit of credit card promotion, which can provide an alternative explanation for the intensified competition in the credit card market in China. It also unveils the strategy that small banks can use to compete for the deposits of big state-owned banks, who intrinsically has more branches and retail customers.

This paper studies the effect of housing wealth shocks on workplace shirking. We use the type and actual time stamps of credit card transactions to detect non-work-related behavior during work hours. After positive shocks to house prices, affected homeowners experienced a fast and persistent increase (by 19% per month) in their propensity to use work hours to attend to personal needs. The post-shock response is more pronounced among homeowners with a greater wealth increase, with poorer career potential, or for occupations with higher monitoring costs. Our estimate implies an elasticity of shirking propensity with respect to house price of 3.8.