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285 Results

The Impact of Unemployment Insurance and Unsecured Credit on Business Cycles

Staff Working Paper 2023-22 Michael Irwin
This paper studies how unsecured consumer credit impacts the extent to which unemployment insurance (UI) policies smooth aggregate consumption fluctuations over the business cycle. Using a general equilibrium real business cycle model, I find that unsecured credit amplifies the extent to which UI smooths cyclical consumption fluctuations.

Supply Drivers of US Inflation Since the COVID-19 Pandemic

Staff Working Paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks.

Persistent Debt and Business Cycles in an Economy with Production Heterogeneity

Staff Working Paper 2023-17 Aubhik Khan, Soyoung Lee
We examine the role of debt in amplifying and propagating recessions. Firms’ debt adjustment makes recessions deeper but makes expansions gradual. In particular, when the aggregate business leverage is ten percentage points above average, the half-life of the recovery doubles.

Learning in a Complex World: Insights from an OLG Lab Experiment

Staff Working Paper 2023-13 Cars Hommes, Stefanie J. Huber, Daria Minina, Isabelle Salle
This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C62, C68, C9, C91, C92, E, E1, E13, E7, E70, G, G1, G12, G4, G41

Risk Amplification Macro Model (RAMM)

Technical Report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data

Staff Working Paper 2023-4 Lorenzo Pozzi, Barbara Sadaba
Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

Are Temporary Oil Supply Shocks Real?

Staff Working Paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger
Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Inflation and prices JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43

Understanding Post-COVID Inflation Dynamics

Staff Working Paper 2022-50 Martin Harding, Jesper Lindé, Mathias Trabandt
We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high.

Canada’s Beveridge curve and the outlook for the labour market

Staff Analytical Note 2022-18 Alexander Lam
Canada’s labour market is tight but beginning to ease. Unemployment will likely rise in turn, but the economy can avoid a recessionary surge given current conditions. Higher unemployment would nonetheless be material, especially for those directly impacted.
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