| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| CEO Behavior and Firm Performance |
0 |
0 |
1 |
47 |
0 |
1 |
22 |
170 |
| CEO Behavior and Firm Performance |
0 |
0 |
0 |
84 |
3 |
3 |
25 |
339 |
| CEO behavior and firm performance |
0 |
0 |
1 |
46 |
0 |
4 |
23 |
156 |
| Delayed Doves: MPC Voting Behaviour of Externals |
0 |
0 |
0 |
76 |
0 |
1 |
10 |
271 |
| Delayed doves: MPC voting behaviour of externals |
0 |
0 |
0 |
5 |
0 |
0 |
10 |
58 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
31 |
0 |
1 |
21 |
79 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
1 |
7 |
36 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
0 |
7 |
32 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
11 |
0 |
2 |
10 |
60 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
23 |
0 |
0 |
10 |
55 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
27 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
28 |
0 |
0 |
8 |
82 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
2 |
26 |
1 |
4 |
22 |
97 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
5 |
1 |
2 |
17 |
50 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of Covid-19 |
0 |
0 |
0 |
30 |
0 |
2 |
13 |
82 |
| Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
30 |
0 |
0 |
13 |
99 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
1 |
1 |
1 |
16 |
1 |
6 |
10 |
78 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
8 |
0 |
0 |
18 |
140 |
| First impressions matter: signalling as a source of policy dynamics |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
17 |
| Graphical model inference with external network data |
0 |
1 |
1 |
17 |
2 |
5 |
14 |
29 |
| Graphical model inference with external network data |
0 |
0 |
0 |
3 |
0 |
0 |
14 |
25 |
| Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data |
0 |
0 |
1 |
23 |
0 |
1 |
10 |
46 |
| How Experts Decide: Identifying Preferences versus Signals from Policy Decisions |
0 |
0 |
0 |
0 |
0 |
1 |
9 |
26 |
| How Experts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
51 |
0 |
1 |
10 |
144 |
| How Expoerts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
9 |
0 |
1 |
12 |
74 |
| How experts decide: identifying preferences versus signals from policy decisions |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
11 |
| In Brief: Delayed Doves |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
27 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
1 |
5 |
6 |
17 |
3 |
16 |
55 |
73 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
1 |
14 |
1 |
4 |
50 |
70 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
0 |
0 |
2 |
4 |
13 |
13 |
| Inference for Regression with Variables Generated from Unstructured Data |
0 |
0 |
1 |
4 |
1 |
2 |
15 |
26 |
| Inference for regression with variables generated from unstructured data |
0 |
0 |
1 |
1 |
1 |
2 |
15 |
25 |
| Initial Match and Career Outcomes: Evidence from the NFL Draft |
1 |
10 |
10 |
10 |
2 |
6 |
6 |
6 |
| Large Language Models in Economics |
27 |
28 |
29 |
29 |
20 |
22 |
23 |
23 |
| Macro Shocks and Firm-Level Response Heterogeneity |
0 |
0 |
0 |
0 |
3 |
4 |
4 |
4 |
| Macro Shocks and Firm-Level Response Heterogeneity |
0 |
2 |
4 |
8 |
0 |
3 |
39 |
55 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
0 |
1 |
3 |
0 |
0 |
12 |
25 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
0 |
7 |
92 |
1 |
2 |
27 |
252 |
| Organizing public good provision: Lessons from managerial accounting |
0 |
0 |
0 |
28 |
0 |
1 |
12 |
117 |
| Policymakers' Uncertainty |
1 |
1 |
1 |
12 |
1 |
2 |
18 |
60 |
| Policymakers' Uncertainty |
1 |
1 |
2 |
2 |
1 |
1 |
13 |
18 |
| Remote Work Across Jobs, Companies and Space |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
1 |
17 |
0 |
1 |
31 |
109 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
30 |
1 |
1 |
14 |
161 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
18 |
0 |
2 |
18 |
70 |
| Remote work across jobs, companies and space |
0 |
0 |
2 |
18 |
1 |
4 |
23 |
46 |
| Remote work across jobs, companies and space |
0 |
0 |
0 |
11 |
1 |
5 |
25 |
48 |
| Remote work across jobs, companies and space |
0 |
0 |
0 |
3 |
0 |
1 |
13 |
23 |
| Risk Management in Monetary Policy: A Review with Asset Pricing Implications |
6 |
6 |
6 |
6 |
4 |
4 |
4 |
4 |
| Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication |
0 |
0 |
5 |
80 |
0 |
0 |
23 |
261 |
| Shocking Language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
2 |
193 |
0 |
1 |
15 |
579 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
23 |
0 |
0 |
12 |
97 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
1 |
61 |
1 |
2 |
19 |
108 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
1 |
1 |
75 |
0 |
1 |
11 |
121 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
9 |
0 |
3 |
22 |
115 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
3 |
0 |
0 |
37 |
114 |
| Short and Variable Lags |
0 |
0 |
0 |
24 |
0 |
1 |
22 |
82 |
| Spain | Short and Variable Lags |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
41 |
| Spain | The Short Lags of Monetary Policy |
0 |
2 |
3 |
6 |
2 |
9 |
36 |
53 |
| Structural Estimation with Unstructured Data |
11 |
12 |
12 |
12 |
8 |
13 |
13 |
13 |
| Text Algorithms in Economics |
0 |
0 |
1 |
24 |
0 |
6 |
30 |
112 |
| The Demand for Executive Skills |
0 |
0 |
0 |
20 |
0 |
4 |
20 |
55 |
| The Demand for Executive Skills |
0 |
0 |
0 |
1 |
1 |
1 |
8 |
19 |
| The Demand for Executive Skills |
0 |
0 |
0 |
6 |
0 |
0 |
13 |
39 |
| The Long-Run Information Effect of Central Bank Communication |
0 |
0 |
0 |
49 |
0 |
1 |
8 |
99 |
| The Short Lags of Monetary Policy |
0 |
1 |
8 |
35 |
1 |
7 |
47 |
86 |
| The Short Lags of Monetary Policy |
6 |
6 |
6 |
6 |
10 |
10 |
10 |
10 |
| The Short Lags of Monetary Policy |
0 |
0 |
0 |
10 |
0 |
0 |
6 |
27 |
| The Short Lags of Monetary Policy |
2 |
5 |
14 |
46 |
8 |
20 |
110 |
204 |
| The benefits of limited feedback in organizations |
1 |
1 |
1 |
54 |
1 |
2 |
20 |
277 |
| The demand for executive skills |
0 |
0 |
1 |
6 |
1 |
1 |
16 |
39 |
| The demand for executive skills |
0 |
0 |
0 |
1 |
1 |
2 |
14 |
17 |
| The demand for executive skills |
0 |
0 |
0 |
2 |
0 |
0 |
18 |
25 |
| The long-run information effect of central bank communication |
0 |
0 |
0 |
73 |
4 |
7 |
26 |
123 |
| The long-run information effect of central bank communication |
0 |
0 |
0 |
26 |
0 |
2 |
10 |
100 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
0 |
0 |
0 |
1 |
11 |
167 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
1 |
138 |
0 |
0 |
17 |
525 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
1 |
1 |
109 |
0 |
2 |
26 |
478 |
| Transparency and Deliberation within the FOMC: A Computational Linguistics Approach |
0 |
0 |
1 |
244 |
2 |
9 |
33 |
951 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
186 |
1 |
2 |
21 |
328 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
40 |
0 |
0 |
27 |
182 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
1 |
4 |
92 |
1 |
4 |
24 |
194 |
| Transparency and deliberation within the FOMC: A computational linguistics approach |
0 |
0 |
0 |
73 |
0 |
3 |
22 |
160 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
1 |
17 |
0 |
1 |
12 |
91 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
0 |
23 |
0 |
0 |
16 |
141 |
| Vertical Exclusion with Endogenous Competiton Externalities |
0 |
0 |
0 |
105 |
0 |
0 |
11 |
170 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
1 |
4 |
0 |
0 |
6 |
18 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
1 |
22 |
0 |
0 |
20 |
307 |
| What do outside experts bring to a committee? Evidence from the Bank of England |
0 |
0 |
0 |
37 |
0 |
0 |
14 |
174 |
| Total Working Papers |
61 |
88 |
147 |
2,837 |
97 |
243 |
1,619 |
10,243 |