| 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 |
1 |
46 |
0 |
1 |
8 |
145 |
| CEO Behavior and Firm Performance |
0 |
0 |
2 |
84 |
0 |
1 |
10 |
311 |
| CEO behavior and firm performance |
0 |
1 |
7 |
43 |
1 |
5 |
25 |
126 |
| Delayed Doves: MPC Voting Behaviour of Externals |
0 |
0 |
0 |
76 |
0 |
0 |
0 |
260 |
| Delayed doves: MPC voting behaviour of externals |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
48 |
| España | Retardos cortos y variables... de política monetaria |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
27 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
25 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
11 |
0 |
1 |
2 |
50 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
31 |
1 |
2 |
2 |
58 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
29 |
| Estimating Bayesian Decision Problems with Heterogeneous Priors* |
0 |
0 |
0 |
23 |
0 |
1 |
1 |
45 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
28 |
0 |
1 |
1 |
74 |
| Estimating Bayesian decision problems with heterogeneous priors |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
23 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
2 |
24 |
1 |
3 |
12 |
74 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
5 |
0 |
1 |
10 |
32 |
| Firm-Level Risk Exposures and Stock Returns in the Wake of Covid-19 |
0 |
1 |
2 |
30 |
0 |
1 |
2 |
69 |
| Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19 |
0 |
0 |
0 |
30 |
0 |
2 |
3 |
86 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
8 |
0 |
0 |
6 |
121 |
| First Impressions Matter: Signalling as a Source of Policy Dynamics |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
68 |
| First impressions matter: signalling as a source of policy dynamics |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
| Graphical model inference with external network data |
0 |
1 |
3 |
3 |
0 |
1 |
10 |
10 |
| Graphical model inference with external network data |
0 |
0 |
0 |
16 |
0 |
0 |
4 |
15 |
| Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data |
0 |
0 |
0 |
22 |
0 |
1 |
3 |
32 |
| How Experts Decide: Identifying Preferences versus Signals from Policy Decisions |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
15 |
| How Experts Decide: Preferences or Private Assessments on a Monetary Policy Committee?* |
0 |
0 |
0 |
51 |
0 |
1 |
1 |
132 |
| How Expoerts Decide: Preferences or Private Assessments on a Monetary Policy Committee? |
0 |
0 |
0 |
9 |
0 |
1 |
1 |
61 |
| How experts decide: identifying preferences versus signals from policy decisions |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
| In Brief: Delayed Doves |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
22 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
9 |
10 |
10 |
1 |
6 |
14 |
14 |
| Inference for Regression with Variables Generated by AI or Machine Learning |
0 |
0 |
0 |
12 |
3 |
6 |
9 |
15 |
| Inference for Regression with Variables Generated from Unstructured Data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Inference for Regression with Variables Generated from Unstructured Data |
1 |
1 |
2 |
2 |
2 |
2 |
8 |
10 |
| Inference for regression with variables generated from unstructured data |
0 |
0 |
0 |
0 |
1 |
3 |
7 |
8 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
2 |
12 |
82 |
3 |
8 |
41 |
219 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
1 |
1 |
1 |
0 |
3 |
7 |
11 |
| National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption |
0 |
1 |
1 |
35 |
0 |
1 |
6 |
71 |
| Organizing public good provision: Lessons from managerial accounting |
0 |
0 |
0 |
28 |
0 |
1 |
2 |
97 |
| Policymakers' Uncertainty |
0 |
0 |
2 |
11 |
0 |
1 |
17 |
38 |
| Policymakers' Uncertainty |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
2 |
18 |
0 |
0 |
6 |
52 |
| Remote Work across Jobs, Companies, and Space |
0 |
0 |
0 |
30 |
0 |
1 |
4 |
146 |
| Remote Work across Jobs, Companies, and Space |
1 |
1 |
2 |
15 |
3 |
9 |
31 |
65 |
| Remote work across jobs, companies and space |
1 |
1 |
4 |
11 |
1 |
1 |
10 |
19 |
| Remote work across jobs, companies and space |
1 |
1 |
2 |
15 |
2 |
2 |
7 |
22 |
| Remote work across jobs, companies and space |
0 |
0 |
1 |
3 |
0 |
0 |
5 |
10 |
| Seguimiento de la crisis del COVID-19 con datos de transacción de alta resolución |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
155 |
| Shocking Language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
191 |
1 |
2 |
2 |
561 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
91 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
1 |
22 |
0 |
0 |
2 |
83 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
60 |
2 |
2 |
2 |
88 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
74 |
0 |
0 |
2 |
108 |
| Shocking language: Understanding the macroeconomic effects of central bank communication |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
76 |
| Shocking language: understanding the macroeconomic effects of central bank communication |
1 |
1 |
1 |
73 |
1 |
3 |
3 |
233 |
| Short and Variable Lags |
0 |
0 |
4 |
22 |
2 |
6 |
18 |
50 |
| Short and Variable Lags |
1 |
1 |
4 |
9 |
1 |
2 |
8 |
19 |
| Short and Variable Lags |
1 |
1 |
1 |
5 |
1 |
1 |
4 |
10 |
| Text Algorithms in Economics |
0 |
0 |
7 |
22 |
2 |
4 |
21 |
80 |
| The Demand for Executive Skills |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
9 |
| The Demand for Executive Skills |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
25 |
| The Demand for Executive Skills |
0 |
0 |
1 |
20 |
0 |
0 |
4 |
34 |
| The Long-Run Information Effect of Central Bank Communication |
0 |
0 |
1 |
49 |
0 |
0 |
3 |
85 |
| The benefits of limited feedback in organizations |
0 |
0 |
0 |
53 |
0 |
1 |
3 |
254 |
| The demand for executive skills |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
2 |
| The demand for executive skills |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
6 |
| The demand for executive skills |
0 |
0 |
0 |
5 |
0 |
1 |
5 |
23 |
| The long-run information effect of central bank communication |
0 |
0 |
1 |
26 |
0 |
3 |
4 |
88 |
| The long-run information effect of central bank communication |
1 |
1 |
1 |
73 |
1 |
5 |
5 |
97 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
0 |
0 |
2 |
137 |
0 |
4 |
11 |
505 |
| Tracking the COVID-19 Crisis with High-Resolution Transaction Data |
1 |
1 |
3 |
108 |
2 |
7 |
18 |
446 |
| Transparency and Deliberation within the FOMC: A Computational Linguistics Approach |
0 |
0 |
1 |
243 |
1 |
3 |
9 |
913 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
186 |
1 |
1 |
2 |
306 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
0 |
40 |
0 |
1 |
3 |
155 |
| Transparency and Deliberation within the FOMC: a Computational Linguistics Approach |
0 |
0 |
3 |
88 |
2 |
2 |
9 |
167 |
| Transparency and deliberation within the FOMC: A computational linguistics approach |
0 |
0 |
0 |
73 |
1 |
2 |
3 |
131 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
0 |
16 |
1 |
1 |
1 |
79 |
| Transparency and deliberation within the FOMC: a computational linguistics approach |
0 |
0 |
0 |
23 |
2 |
2 |
2 |
125 |
| Vertical Exclusion with Endogenous Competiton Externalities |
1 |
1 |
1 |
104 |
1 |
2 |
4 |
157 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
0 |
21 |
0 |
0 |
2 |
286 |
| What Do Outside Experts Bring To A Committee? Evidence From The Bank of England |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
12 |
| What do outside experts bring to a committee? Evidence from the Bank of England |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
157 |
| Total Working Papers |
10 |
27 |
88 |
2,644 |
42 |
128 |
447 |
8,377 |
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