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How do “cooling measures” in the housing market—policies aimed to stabilize prices—affect the market? We use a structural model of housing demand and price competition among developers to evaluate China’s home purchase restriction policies implemented in 2010–11.

Trade liberalizations increase the sales and input purchases of productive firms relative to their less productive domestic competitors. This reallocation affects firms’ market power in their product and input markets. I quantify how the labour market power of employers affects the distribution and size of the gains from trade.

We show that US banks price deposits almost uniformly across their branches and that this pricing practice is more important than increases in local market concentration in explaining the deposit rate dynamics following bank mergers.

Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects.

We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

We show that a small number of authorized participants (APs) actively create and redeem shares of US-listed fixed-income exchange-traded funds (FI-ETFs). In 2019, three APs performed 82 percent of gross creations and redemptions of FI-ETF shares. In contrast, the group of active APs for equity ETFs was much more diverse.

Bond dealers have traditionally kept bonds in an inventory until clients buy them. But now, dealers have another way to access bonds for their clients: the exchange-traded fund. We discuss this new way to manage bond dealing and what it might mean for bond markets.

I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms.

Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.