| 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 |
1 |
2 |
47 |
2 |
6 |
12 |
156 |
| CEO Behavior and Firm Performance |
0 |
0 |
0 |
84 |
4 |
11 |
16 |
325 |
| CEO behavior and firm performance |
0 |
1 |
5 |
46 |
0 |
12 |
28 |
147 |
| Delayed Doves: MPC Voting Behaviour of Externals |
0 |
0 |
0 |
76 |
2 |
6 |
8 |
268 |
| Delayed doves: MPC voting behaviour of externals |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
50 |
| España | Retardos cortos y variables... de política monetaria |
0 |
0 |
0 |
0 |
5 |
9 |
13 |
38 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
1 |
4 |
4 |
33 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
3 |
3 |
3 |
28 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
31 |
7 |
9 |
11 |
67 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
11 |
5 |
7 |
8 |
57 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
23 |
4 |
7 |
8 |
52 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
24 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
28 |
4 |
6 |
7 |
80 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
24 |
3 |
8 |
15 |
85 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
5 |
1 |
3 |
6 |
37 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of Covid-19 |
0 |
0 |
1 |
30 |
3 |
5 |
7 |
75 |
| Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
30 |
5 |
7 |
11 |
94 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
15 |
0 |
3 |
3 |
71 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
8 |
4 |
12 |
13 |
134 |
| First impressions matter: signalling as a source of policy dynamics |
0 |
0 |
0 |
0 |
9 |
10 |
12 |
13 |
| Graphical model inference with external network data |
0 |
0 |
1 |
3 |
1 |
6 |
9 |
18 |
| Graphical model inference with external network data |
0 |
0 |
0 |
16 |
2 |
3 |
4 |
19 |
| Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data |
0 |
0 |
0 |
22 |
3 |
4 |
9 |
40 |
| How Experts Decide: Identifying Preferences versus Signals from Policy Decisions |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
18 |
| How Experts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
51 |
3 |
7 |
10 |
141 |
| How Expoerts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
9 |
4 |
6 |
9 |
69 |
| How experts decide: identifying preferences versus signals from policy decisions |
0 |
0 |
0 |
0 |
3 |
4 |
7 |
7 |
| In Brief: Delayed Doves |
0 |
0 |
0 |
1 |
2 |
4 |
5 |
26 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
1 |
2 |
14 |
7 |
15 |
28 |
36 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
11 |
11 |
10 |
22 |
36 |
40 |
| Inference for Regression with Variables Generated from Unstructured Data |
0 |
0 |
0 |
0 |
2 |
4 |
5 |
5 |
| Inference for Regression with Variables Generated from Unstructured Data |
0 |
1 |
3 |
4 |
5 |
10 |
14 |
21 |
| Inference for regression with variables generated from unstructured data |
0 |
1 |
1 |
1 |
3 |
9 |
15 |
19 |
| Macro Shocks and Firm-Level Response Heterogeneity |
1 |
1 |
5 |
5 |
5 |
9 |
26 |
26 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
1 |
1 |
10 |
88 |
7 |
12 |
38 |
241 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
0 |
2 |
2 |
4 |
7 |
13 |
21 |
| Organizing public good provision: Lessons from managerial accounting |
0 |
0 |
0 |
28 |
1 |
5 |
16 |
112 |
| Policymakers' Uncertainty |
0 |
1 |
1 |
1 |
5 |
7 |
11 |
12 |
| Policymakers' Uncertainty |
0 |
0 |
0 |
11 |
3 |
9 |
17 |
52 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
30 |
1 |
4 |
8 |
153 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
3 |
16 |
9 |
18 |
44 |
98 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
18 |
4 |
10 |
10 |
62 |
| Remote work across jobs, companies and space |
0 |
1 |
3 |
17 |
2 |
10 |
14 |
34 |
| Remote work across jobs, companies and space |
0 |
0 |
3 |
11 |
6 |
13 |
21 |
37 |
| Remote work across jobs, companies and space |
0 |
0 |
0 |
3 |
3 |
10 |
10 |
20 |
| Seguimiento de la crisis del COVID-19 con datos de transacción de alta resolución |
0 |
0 |
0 |
0 |
4 |
6 |
9 |
162 |
| Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication |
0 |
2 |
5 |
77 |
2 |
7 |
16 |
246 |
| Shocking Language: Understanding the macroeconomic effects of central bank communication |
1 |
1 |
1 |
192 |
4 |
6 |
12 |
571 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
74 |
3 |
5 |
7 |
115 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
1 |
1 |
61 |
4 |
8 |
13 |
99 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
1 |
23 |
4 |
6 |
9 |
92 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
9 |
9 |
10 |
12 |
103 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
3 |
11 |
13 |
16 |
91 |
| Short and Variable Lags |
0 |
0 |
2 |
24 |
6 |
13 |
33 |
74 |
| Short and Variable Lags |
0 |
0 |
2 |
10 |
2 |
4 |
9 |
26 |
| Text Algorithms in Economics |
0 |
1 |
2 |
24 |
6 |
11 |
22 |
96 |
| The Demand for Executive Skills |
0 |
0 |
0 |
20 |
2 |
5 |
8 |
42 |
| The Demand for Executive Skills |
0 |
0 |
1 |
6 |
3 |
6 |
7 |
32 |
| The Demand for Executive Skills |
0 |
0 |
0 |
1 |
0 |
3 |
5 |
14 |
| The Long-Run Information Effect of Central Bank Communication |
0 |
0 |
0 |
49 |
1 |
6 |
12 |
97 |
| The benefits of limited feedback in organizations |
0 |
0 |
0 |
53 |
9 |
13 |
17 |
270 |
| The demand for executive skills |
0 |
0 |
0 |
1 |
3 |
6 |
7 |
9 |
| The demand for executive skills |
0 |
1 |
1 |
6 |
10 |
11 |
13 |
34 |
| The demand for executive skills |
0 |
0 |
0 |
2 |
7 |
13 |
14 |
20 |
| The long-run information effect of central bank communication |
0 |
0 |
1 |
26 |
2 |
5 |
12 |
96 |
| The long-run information effect of central bank communication |
0 |
0 |
1 |
73 |
12 |
16 |
21 |
113 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
1 |
108 |
5 |
15 |
32 |
468 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
0 |
137 |
7 |
12 |
20 |
521 |
| Transparency and Deliberation within the FOMC: A Computational Linguistics Approach |
0 |
0 |
0 |
243 |
7 |
12 |
23 |
933 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
1 |
2 |
3 |
91 |
1 |
8 |
15 |
179 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
40 |
7 |
11 |
14 |
167 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
186 |
5 |
11 |
14 |
319 |
| Transparency and deliberation within the FOMC: A computational linguistics approach |
0 |
0 |
0 |
73 |
7 |
10 |
23 |
151 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
1 |
1 |
17 |
3 |
7 |
9 |
87 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
0 |
23 |
5 |
6 |
9 |
132 |
| Vertical Exclusion with Endogenous Competiton Externalities |
0 |
0 |
2 |
105 |
5 |
8 |
12 |
167 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
1 |
1 |
1 |
4 |
4 |
5 |
6 |
17 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
1 |
1 |
22 |
4 |
5 |
6 |
292 |
| What do outside experts bring to a committee? Evidence from the Bank of England |
0 |
0 |
0 |
37 |
5 |
8 |
11 |
168 |
| Total Working Papers |
5 |
20 |
80 |
2,651 |
327 |
630 |
1,038 |
9,164 |