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732 Results

Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound

Staff Working Paper 2012-21 Christiane Baumeister, Luca Benati
We explore the macroeconomic effects of a compression in the long-term bond yield spread within the context of the Great Recession of 2007-2009 via a time-varying parameter structural VAR model.

From Micro to Macro Hysteresis: Long-Run Effects of Monetary Policy

Staff Working Paper 2024-39 Felipe Alves, Giovanni L. Violante
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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets, Monetary policy transmission JEL Code(s): E, E2, E21, E24, E3, E31, E32, E5, E52, J, J2, J24, J6, J64

Conditioning Information and Variance Bounds on Pricing Kernels with Higher-Order Moments: Theory and Evidence

Staff Working Paper 2006-38 Fousseni Chabi-Yo
The author develops a strategy for utilizing higher moments and conditioning information efficiently, and hence improves on the variance bounds computed by Hansen and Jagannathan (1991, the HJ bound) and Gallant, Hansen, and Tauchen (1990, the GHT bound).
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Market structure and pricing JEL Code(s): C, C6, C61, G, G1, G12, G13

What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

Staff Working Paper 2021-52 Alberto Cavallo, Oleksiy Kryvtsov
Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.
Content Type(s): Staff research, Staff working papers Research Topic(s): Coronavirus disease (COVID-19), Inflation and prices JEL Code(s): D, D2, D22, E, E3, E31, E37

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff Working Paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.
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