China’s unprecedented and unexpected loosening of loan-to-value ratio (LTV) policy during 2014Q4–2016Q3 provides an ideal case to study the role of housing policy in housing booms and busts and its impacts on consumption and debt burdens among households. Evidence from three unique micro datasets shows that such a policy change disproportionately increased the share of mortgages to middle-aged and high-income homeowners in the total amount of newly issued mortgages and at the same time reduced their consumption growth...
Using big data of more than 100 million posted jobs from China, we estimate how the COVID-19 pandemic affected local labor demand in China via global supply chains. The data reveal that the number of newly posted jobs was about 31% lower in the first 14 weeks after the Wuhan lockdown than comparable periods in 2018 and 2019. We show that COVID-19 cases abroad and foreign governments’ pandemic-control policies reduced new job creation in China by 11.7%...
It’s not just about jobs. It’s also about love, status, and the marriage market.
What caused the enormous credit boom in China? This column by Kinda Hachem and Michael Song offers an unexpected explanation of stricter liquidity regulations on banks leading to a credit boom through competition between small and big banks and their heavy use of shadow banking investment instruments.
Using daily spot exchange rates and derivatives prices, we estimate a peg-survival probability p and an implied fundamental value of V for HKD under an alternative regime...