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This paper studies how the credit expansion policy pursued by the Chinese government in an effort to stimulate its economy in the post-crisis period affects bank–firm loan contracts and the macroeconomy. We build a structural model with financial frictions in which the optimal loan contract reflects the trade-off between leverage and the probability of default.

When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance.

Senior Deputy Governor Tiff Macklem discusses how price and financial stability help promote growth and mitigate economic cycles and inequality.

This paper evaluates the effectiveness of macroprudential policies when regulations are uneven across mortgage lender types. We look at credit tightening that results from macroprudential regulations and examine how much of it is counteracted by credit shifting to unregulated lenders. We also study the impact of monetary policy tightening when some lenders are unregulated.

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.

This paper examines the direct effects of industrial robot adoption on workers and owners within Canadian private corporations. Adoption increases firm scale and per-worker payroll but does not decrease the labor share of value added. Conventional accounting of labor income earned by owners masks the impact on non-owner workers.

Deposit insurance protects depositors from failing banks, thus making insured deposits risk-free. When a deposit insurance limit is increased, some deposits that previously were uninsured become insured, thereby increasing the share of risk-free assets in households’ portfolios. This increase cannot simply be undone by households, because to invest in uninsured deposits, a household must first invest in insured deposits up to the limit. This basic insight is the starting point of the analysis in this paper.

Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns.

This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.