Stephen Hansen - Research
[ Monetary Policy ] -- [ Org Econ/Firms ] -- [ Fin. Transactions ] -- [ Applied Statistics ] -- [ Review Articles ]

Monetary Policy / Central Bank Design

Policymakers' Uncertainty

(with Anna Cieslak, Michael McMahon, and Song Xiao)
Working paper

The Long-Run Information Effect of Central Bank Communication

(with Michael McMahon and Matthew Tong)
Journal of Monetary Economics (2019) 108 (December): 185-202.

Transparency and Deliberation within the FOMC: a Computational Linguistics Approach

(with Michael McMahon and Andrea Prat)
Quarterly Journal of Economics (2018) 133 (2): 801-870

First Impressions Matter: Signalling as a Source of Policy Dynamics

(with Michael McMahon)
The Review of Economic Studies (2016) 83 (4): 1645-1672

Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication

(with Michael McMahon)
Journal of International Economics (2016), 38th NBER International Seminar on Macroeconomics: S114-S133.

Preferences or Private Assessments on a Monetary Policy Committee?

(with Michael McMahon and Carlos Velasco)
Journal of Monetary Economics (2014) 67 (October): 16-32.

Organizational Economics / IO / Firm Dynamics

The Demand for Executive Skills

(with Tejas Ramdas, Raffaella Sadun, and Joseph Fuller)
Working paper

Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19

(with Steven Davis and Cristhian Seminario-Amez)
Working paper

CEO Behavior and Firm Performance

(with Oriana Bandiera, Andrea Prat, and Raffaella Sadun)
Journal of Political Economy (2020) 128 (4): 1325-1369.

Vertical Exclusion with Downstream Risk Aversion or Limited Liability

(with Massimo Motta)
Journal of Industrial Economics (2019) 67 (3-4): 409-447.

Organizing Public Good Provision: Lessons from Managerial Accounting

(with Benito Arruñada)
International Review of Law and Economics, (2015) 42 (June): 185-191

Performance Feedback with Career Concerns

Journal of Law, Economics, and Organization (2013) 29 (6): 1279-1316

Economic Measurement with Financial Transactions

National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption

(with Gergely Buda, Vasco Carvalho, Alvaro Ortiz, Tomasa Rodrigo, and Sevi Rodriguez Mora)
Working paper

Tracking the COVID-19 Crisis with High-Resolution Transaction Data

(with Vasco Carvalho, Juan Garcia, Alvaro Ortiz, Tomasa Rodrigo, Jose V Rodriguez Mora, and Jose Ruiz)
Royal Society Open Science (2021) 8: 210218

Applied Statistics

Graphical Model Inference With External Network Data

(with Jack Jewson, Li Li, Laura Battaglia, David Rossell, and Piotr Zweirnik)
Working paper

Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data

(with Szymon Sacher and Laura Battaglia)
Working paper

Estimating Bayesian Decision Problems with Heterogeneous Expertise

(with Michael McMahon and Tang Srisuma)
Journal of Applied Econometrics (2016) 31 (4): 762-771

Review Articles for Text Data and Machine Learning

Text Algorithms in Economics

(with Elliott Ash)
In preparation for Annual Review of Economics

Text Mining for Central Banks

(with David Bholat, Pedro Santos, and Cheryl Schonhardt-Bailey)
Center for Central Banking Studies Handbook No. 33, Bank of England

Machine Learning for Economics and Policy

in Economic Analysis of the Digital Revolution, FUNCAS Social and Economic Studies (5), editors Juan Jose Ganuza and Gerard Llobet