| 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 |
0 |
84 |
4 |
11 |
25 |
336 |
| CEO Behavior and Firm Performance |
0 |
0 |
1 |
47 |
2 |
9 |
22 |
167 |
| CEO behavior and firm performance |
0 |
0 |
3 |
46 |
2 |
4 |
26 |
152 |
| Delayed Doves: MPC Voting Behaviour of Externals |
0 |
0 |
0 |
76 |
0 |
1 |
9 |
269 |
| Delayed doves: MPC voting behaviour of externals |
0 |
0 |
0 |
5 |
3 |
6 |
10 |
58 |
| España | Retardos cortos y variables... de política monetaria |
0 |
0 |
0 |
0 |
0 |
3 |
14 |
41 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
2 |
6 |
35 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
31 |
0 |
1 |
20 |
78 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
23 |
0 |
3 |
10 |
55 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
11 |
0 |
0 |
8 |
58 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
4 |
7 |
32 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
27 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
28 |
0 |
1 |
8 |
82 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
5 |
0 |
6 |
14 |
46 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
1 |
2 |
2 |
26 |
2 |
6 |
18 |
92 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of Covid-19 |
0 |
0 |
0 |
30 |
0 |
3 |
10 |
79 |
| Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
30 |
0 |
5 |
13 |
99 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
15 |
0 |
1 |
4 |
72 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
8 |
0 |
2 |
18 |
139 |
| First impressions matter: signalling as a source of policy dynamics |
0 |
0 |
0 |
0 |
1 |
4 |
15 |
17 |
| Graphical model inference with external network data |
0 |
0 |
0 |
16 |
1 |
4 |
9 |
24 |
| Graphical model inference with external network data |
0 |
0 |
0 |
3 |
1 |
5 |
14 |
24 |
| Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data |
0 |
1 |
1 |
23 |
1 |
2 |
12 |
44 |
| How Experts Decide: Identifying Preferences versus Signals from Policy Decisions |
0 |
0 |
0 |
0 |
1 |
6 |
10 |
25 |
| How Experts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
51 |
1 |
1 |
10 |
142 |
| How Expoerts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
9 |
0 |
4 |
12 |
73 |
| How experts decide: identifying preferences versus signals from policy decisions |
0 |
0 |
0 |
0 |
0 |
3 |
9 |
10 |
| In Brief: Delayed Doves |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
26 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
2 |
14 |
3 |
11 |
38 |
53 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
0 |
0 |
1 |
2 |
8 |
8 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
1 |
1 |
2 |
12 |
2 |
10 |
40 |
54 |
| Inference for Regression with Variables Generated from Unstructured Data |
0 |
0 |
2 |
4 |
0 |
2 |
13 |
23 |
| Inference for regression with variables generated from unstructured data |
0 |
0 |
1 |
1 |
1 |
4 |
15 |
23 |
| Macro Shocks and Firm-Level Response Heterogeneity |
0 |
1 |
6 |
6 |
7 |
13 |
41 |
41 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
0 |
2 |
3 |
0 |
2 |
14 |
25 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
2 |
10 |
92 |
0 |
6 |
31 |
250 |
| Organizing public good provision: Lessons from managerial accounting |
0 |
0 |
0 |
28 |
0 |
3 |
19 |
116 |
| Policymakers' Uncertainty |
0 |
0 |
0 |
11 |
0 |
4 |
20 |
58 |
| Policymakers' Uncertainty |
0 |
0 |
1 |
1 |
0 |
5 |
14 |
17 |
| Remote Work across Jobs, Companies, and Space |
1 |
1 |
2 |
17 |
2 |
8 |
42 |
107 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
30 |
1 |
7 |
14 |
160 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
18 |
2 |
6 |
16 |
68 |
| Remote work across jobs, companies and space |
0 |
0 |
0 |
3 |
0 |
2 |
12 |
22 |
| Remote work across jobs, companies and space |
1 |
1 |
3 |
18 |
3 |
5 |
20 |
42 |
| Remote work across jobs, companies and space |
0 |
0 |
0 |
11 |
1 |
5 |
24 |
43 |
| Seguimiento de la crisis del COVID-19 con datos de transacción de alta resolución |
0 |
0 |
0 |
0 |
1 |
4 |
11 |
166 |
| Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication |
1 |
2 |
7 |
80 |
5 |
10 |
24 |
257 |
| Shocking Language: Understanding the macroeconomic effects of central bank communication |
0 |
1 |
2 |
193 |
0 |
4 |
16 |
577 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
1 |
61 |
1 |
6 |
17 |
105 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
74 |
0 |
4 |
12 |
120 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
9 |
2 |
6 |
20 |
111 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
1 |
23 |
1 |
4 |
14 |
97 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
3 |
0 |
12 |
37 |
113 |
| Short and Variable Lags |
0 |
0 |
1 |
10 |
0 |
1 |
8 |
27 |
| Short and Variable Lags |
0 |
0 |
2 |
24 |
1 |
7 |
31 |
81 |
| Text Algorithms in Economics |
0 |
0 |
2 |
24 |
2 |
7 |
26 |
106 |
| The Demand for Executive Skills |
0 |
0 |
0 |
1 |
1 |
4 |
9 |
18 |
| The Demand for Executive Skills |
0 |
0 |
1 |
6 |
1 |
7 |
14 |
39 |
| The Demand for Executive Skills |
0 |
0 |
0 |
20 |
0 |
7 |
16 |
50 |
| The Long-Run Information Effect of Central Bank Communication |
0 |
0 |
0 |
49 |
0 |
1 |
13 |
98 |
| The benefits of limited feedback in organizations |
0 |
0 |
0 |
53 |
0 |
4 |
21 |
275 |
| The demand for executive skills |
0 |
0 |
0 |
2 |
2 |
5 |
19 |
25 |
| The demand for executive skills |
0 |
0 |
1 |
6 |
1 |
3 |
15 |
38 |
| The demand for executive skills |
0 |
0 |
0 |
1 |
3 |
5 |
13 |
15 |
| The long-run information effect of central bank communication |
0 |
0 |
0 |
73 |
0 |
3 |
19 |
116 |
| The long-run information effect of central bank communication |
0 |
0 |
0 |
26 |
0 |
2 |
10 |
98 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
0 |
137 |
0 |
2 |
19 |
524 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
0 |
108 |
0 |
4 |
28 |
474 |
| Transparency and Deliberation within the FOMC: A Computational Linguistics Approach |
0 |
1 |
1 |
244 |
2 |
6 |
27 |
940 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
186 |
1 |
5 |
19 |
325 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
3 |
91 |
4 |
9 |
22 |
189 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
40 |
1 |
8 |
25 |
180 |
| Transparency and deliberation within the FOMC: A computational linguistics approach |
0 |
0 |
0 |
73 |
1 |
6 |
26 |
157 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
1 |
17 |
0 |
2 |
10 |
89 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
0 |
23 |
1 |
7 |
15 |
140 |
| Vertical Exclusion with Endogenous Competiton Externalities |
0 |
0 |
1 |
105 |
0 |
3 |
13 |
170 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
1 |
22 |
2 |
8 |
20 |
306 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
1 |
4 |
0 |
1 |
6 |
18 |
| What do outside experts bring to a committee? Evidence from the Bank of England |
0 |
0 |
0 |
37 |
1 |
4 |
16 |
173 |
| Total Working Papers |
5 |
13 |
64 |
2,668 |
77 |
366 |
1,333 |
9,629 |