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The arrival of immigrants increases demand for housing and puts upward pressure on shelter prices. Using instrumental variables based on the ancestry composition of residents in US counties, we estimate the causal impact of immigration on local shelter prices.

We explore the long-run effects of a monetary policy shock in a Heterogeneous Agent New Keynesian model built on the micro evidence that job losses lead to persistently lower individual earnings through a combination of skill decay and abandonment of the labour force.

We assess whether unconventional monetary and fiscal policy implemented in response to the COVID-19 pandemic in the U.S. contribute to the 2021-2023 inflation surge through the lens of several different empirical methodologies and establish a null result.

When it comes to understanding the influence of labour costs on inflation, average wage growth is a misleading indicator because it is affected by composition effects. We propose an alternative measure that corrects for these effects by using microdata from the Labour Force Survey. Our new measure has many desirable properties, including reduced volatility and a better relationship with labour market fundamentals.

We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms’ communications (earning calls, regulatory filings, and social media) by training a large language model to identify statements that contain political opinions. Using these data, we document five facts about firms’ political engagement.

We investigate the welfare consequences of consumer credit regulation in a dynamic, heterogeneous-agent model with endogenous lender market power. Lenders post credit offers and borrowers—some informed and others uninformed—apply for credit. We calibrate the model to match characteristics of the unsecured consumer credit market and use the calibrated model to evaluate interest rate ceilings.

This paper explores the implications of introducing digital public and private monies (e.g. tokenized central bank digital currency [CBDC] or tokenized deposits) for stablecoins and illicit crypto transactions.

Using a novel dynamic portfolio balance model of the yield curve for Government of Canada bonds, I find that the Bank of Canada’s Government of Canada Bond Purchase Program reduced Canadian 10-year and 5-year zero-coupon yields by 84 and 52 basis points, respectively.

The Bank of Canada’s Government of Canada Bond Purchase Program, launched in response to the COVID-19 pandemic, lowered the weighted average maturity of the Government of Canada’s debt by approximately 1.4 years. This in turn reduced Canadian 10-year and 5-year zero-coupon yields by 84 and 52 basis points, respectively.

We propose a framework for designing cognitively accessible payment and banking interfaces through design guidelines, testing and proposed measures to optimize system learnability and user workload. We include, as a case study, the results of testing this framework with users with cognitive disabilities, using a prototype system for voice payments.