Non-competing Data Intermediaries Staff Working Paper 2020-28 Shota Ichihashi 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. Content Type(s): Staff research, Staff working papers Topic(s): Economic models JEL Code(s): D, D4, D42, D43, D8, D80, L, L1, L12
Trading for Bailouts Staff Working Paper 2020-23 Toni Ahnert, Caio Machado, Ana Elisa Pereira 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. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial markets, Financial system regulation and policies, Lender of last resort JEL Code(s): D, D8, D83, G, G1, G12, G14, G18
Dynamic Competition in Negotiated Price Markets Staff Working Paper 2020-22 Jason Allen, Shaoteng Li 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. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial services, Market structure and pricing JEL Code(s): D, D4, G, G2, G21, L, L2
The Market for Acquiring Card Payments from Small and Medium-Sized Canadian Merchants Staff Discussion Paper 2020-5 Angelika Welte, Jozsef Molnar This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada. Content Type(s): Staff research, Staff discussion papers Topic(s): Financial services, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): C, C2, D, D2, E, E4, E42
Household indebtedness risks in the wake of COVID‑19 Staff Analytical Note 2020-8 Olga Bilyk, Anson T. Y. Ho, Mikael Khan, Geneviève Vallée 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. Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Coronavirus disease (COVID-19), Credit and credit aggregates, Econometric and statistical methods, Financial stability, Fiscal policy, Housing, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): C, C2, C21, D, D1, D12, D14, E, E2, E24, E27, E6, E62, G, G2, G21, G28, R, R2
How Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers Staff Working Paper 2020-18 Katya Kartashova, Xiaoqing Zhou 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. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Interest rates, Monetary policy, Monetary policy transmission JEL Code(s): D, D1, D12, D14, E, E4, E43, E5, E52, G, G2, G21, R, R3, R31
Scenario Analysis and the Economic and Financial Risks from Climate Change Staff Discussion Paper 2020-3 Erik Ens, Craig Johnston 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. Content Type(s): Staff research, Staff discussion papers Topic(s): Climate change, Economic models, Financial stability, International topics JEL Code(s): C, C6, C68, D, D5, D58, E, E5, E50, O, O4, O44, P, P1, P18, Q, Q4, Q5, Q54, Q55
Multi-Product Pricing: Theory and Evidence from Large Retailers in Israel Staff Working Paper 2020-12 Marco Bonomo, Carlos Carvalho, Oleksiy Kryvtsov, Sigal Ribon, Rodolfo Rigato 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. Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices, Market structure and pricing, Monetary policy JEL Code(s): D, D2, D21, D22, E, E3, E31, E5, E52, L, L1, L11
Optimal Taxation in Asset Markets with Adverse Selection Staff Working Paper 2020-11 Mohammad Davoodalhosseini 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. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial markets, Financial system regulation and policies, Market structure and pricing JEL Code(s): D, D8, D82, D83, E, E2, E24, G, G1, G10, J, J3, J31, J6, J64
Welfare Analysis of Equilibria With and Without Early Termination Fees in the US Wireless Industry Staff Working Paper 2020-9 Joseph Cullen, Nicolas Schutz, Oleksandr Shcherbakov 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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Firm dynamics, Market structure and pricing JEL Code(s): D, D2, D22, L, L1, L15, L9, L96