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64 Results

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

Time Use and Macroeconomic Uncertainty

Staff working paper 2023-29 Matteo Cacciatore, Stefano Gnocchi, Daniela Hauser
We estimate the effects of economic uncertainty on time use and discuss its macroeconomic implications. We develop a model to demonstrate that substitution between market and non-market work provides an additional insurance margin to households, weakening precautionary savings and labour supply and lowering aggregate demand, ultimately amplifying the contractionary effects of uncertainty.

Entry and Exit in Treasury Auctions

Staff working paper 2024-29 Jason Allen, Ali Hortaçsu, Eric Richert, Milena Wittwer
This paper introduces and estimates a structural model of the Canadian primary market for government debt. We assess the role of dealer exit in this market as a key reason for increased, yet irregular, customer entry and quantify the benefits of greater customer competition against the costs of higher market volatility.
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