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.
In times of high uncertainty, governments often implement interventions such as bailouts to financial institutions. To use public resources efficiently and to avoid major spillovers to the rest of the economy, policy-makers try to identify which institutions should receive assistance.
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.
COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults.
We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.
This paper adapts climate-economy models that have been applied in other contexts for use in climate-related scenario analysis. We consider illustrative scenarios for the global economy that could generate economic and financial risks. Our results suggest there are significant economic risks from climate change and the move to a low-carbon economy.
Standard theories of price adjustment are based on the problem of a single-product firm, and therefore they may not be well suited to analyze price dynamics in the economy with multiproduct firms.
What is the optimal tax schedule in over-the-counter markets, e.g., those for corporate bonds? I find that an optimal tax schedule is often non-monotonic. For example, trading of some high-price assets should be subsidized, and trading of some low-price assets should be taxed.
The elimination of long-term contracts and early termination fees (ETFs) in the US wireless industry at the end of 2015 increased monthly service fees by 2 to 5 percent. Nevertheless, consumers are clearly better off without ETFs. While firms’ revenues from ETFs vanish, their profits from monthly fees increase. As a result, the overall effect on producer profits is less clear.