| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Response to Philippe Lemoine's Critique on our Paper "Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S." |
0 |
0 |
0 |
3 |
0 |
0 |
4 |
53 |
| Asymptotic Properties of the Maximum Likelihood Estimator in Regime Switching Econometric Models |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
29 |
| Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
58 |
| Causal impact of masks, policies, behavior on early COVID-19 pandemic in the U.S |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
16 |
| Decomposition of Aggregate Productivity Growth with Unobserved Heterogeneity |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
65 |
| Does Importing Intermediates Increase the Demand for Skilled Workers? Plant-level Evidence from Indonesia |
0 |
0 |
0 |
66 |
0 |
1 |
2 |
283 |
| Does an R&D Tax Credit Affect R&D Expenditure? The Japanese R&D Tax Credit Reform in 2003 |
0 |
0 |
0 |
31 |
0 |
2 |
10 |
120 |
| Does an R&D Tax Credit Affect R&D Expenditure? The Japanese Tax Credit Reform in 2003 |
0 |
0 |
0 |
45 |
0 |
0 |
2 |
212 |
| Does an R&D Tax Credit Affect R&D Expenditure? The Japanese Tax Credit Reform in 2003 |
0 |
0 |
0 |
20 |
0 |
2 |
3 |
126 |
| Does the Use of Imported Intermediates Increase Productivity? Plant-Level Evidence |
0 |
0 |
0 |
231 |
0 |
0 |
4 |
726 |
| Does the Use of Imported Intermediates Increase Productivity? Plant-Level Evidence |
0 |
1 |
2 |
239 |
3 |
5 |
13 |
914 |
| Excessive Entry and Exit in Export Markets |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
69 |
| How Much Do R&D Tax Credits Affect R&D Expenditures? Japanese tax credit reform in 2003 |
0 |
0 |
0 |
42 |
0 |
0 |
1 |
124 |
| Identification and Estimation of Production Function with Unobserved Heterogeneity |
0 |
0 |
7 |
7 |
1 |
1 |
9 |
9 |
| Identification and Estimation of Production Function with Unobserved Heterogeneity |
0 |
0 |
5 |
5 |
0 |
0 |
3 |
3 |
| Identification and Estimation of Production Function with Unobserved Heterogeneity |
0 |
1 |
4 |
93 |
0 |
3 |
11 |
180 |
| Identification of Regression Models with a Misclassified and Endogenous Binary Regressor |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
42 |
| Import Protection As Export Destruction |
1 |
1 |
1 |
83 |
1 |
1 |
1 |
400 |
| Import Protection as Export Destruction |
0 |
0 |
0 |
164 |
0 |
1 |
2 |
757 |
| Import Protection as Export Destruction |
0 |
0 |
1 |
90 |
0 |
2 |
3 |
363 |
| Nested Pseudo-likelihood Estimation And Bootstrap-based Inference For Structural Discrete Markov Decision Models |
0 |
0 |
0 |
76 |
0 |
0 |
0 |
402 |
| Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models |
0 |
0 |
0 |
112 |
0 |
0 |
0 |
450 |
| Nonparametric Identification And Estimation Of Finite Mixture Models Of Dynamic Discrete Choices |
0 |
0 |
0 |
157 |
0 |
0 |
1 |
600 |
| Nonparametric Identification And Estimation Of Multivariate Mixtures |
0 |
0 |
1 |
56 |
0 |
2 |
3 |
230 |
| Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices |
0 |
0 |
0 |
119 |
0 |
0 |
3 |
452 |
| Nonparametric Identification and Estimation of the Number of Components in Multivariate Mixtures |
0 |
0 |
0 |
38 |
0 |
0 |
0 |
110 |
| Nonparametric Identification and Estimation of the Number of Components in Multivariate Mixtures |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
75 |
| Nonparametric Identification of Multivariate Mixtures |
0 |
0 |
0 |
58 |
0 |
1 |
1 |
165 |
| Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
11 |
| Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data |
0 |
0 |
0 |
34 |
0 |
1 |
3 |
33 |
| Productivity and the Decision to Import and Export: Theory and Evidence |
0 |
0 |
1 |
827 |
0 |
0 |
14 |
3,851 |
| Sequential Estimation Of Structural Models With A Fixed Point Constraint |
0 |
0 |
0 |
43 |
0 |
1 |
1 |
166 |
| Sequential Estimation of Dynamic Programming Models with Unobserved Heterogeneity |
0 |
0 |
1 |
109 |
0 |
0 |
2 |
209 |
| Sequential Estimation of Structural Models with a Fixed Point Constraint |
0 |
0 |
1 |
17 |
0 |
0 |
1 |
135 |
| Sequential Estimation of Structural Models with a Fixed Point Constraint |
0 |
0 |
0 |
36 |
0 |
0 |
0 |
204 |
| Technology Adoption Under Relative Factor Price Uncertainty: The Putty-clay Investment Model |
0 |
0 |
0 |
55 |
0 |
0 |
2 |
327 |
| Technology Adoption under Relative Factor Price Uncertainty: The Putty-Clay Investment Model |
0 |
0 |
0 |
57 |
0 |
0 |
4 |
322 |
| Testing the Number of Components in Finite Mixture Models |
0 |
1 |
1 |
35 |
0 |
1 |
2 |
160 |
| Testing the Number of Components in Finite Mixture Models |
0 |
0 |
1 |
67 |
0 |
0 |
3 |
157 |
| Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data |
0 |
0 |
11 |
11 |
0 |
1 |
10 |
10 |
| Testing the Number of Regimes in Markov Regime Switching Models |
0 |
0 |
1 |
43 |
0 |
2 |
6 |
53 |
| Testing the Order of Multivariate Normal Mixture Models |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
23 |
| Testing the Order of Multivariate Normal Mixture Models |
0 |
0 |
0 |
21 |
0 |
1 |
3 |
38 |
| The Association of Opening K-12 Schools and Colleges with the Spread of Covid-19 in the United States: County-Level Panel Data Analysis |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
16 |
| The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
27 |
| The Causes of China's Great Famine, 1959-1961: County-Level Evidence |
0 |
0 |
6 |
126 |
2 |
5 |
23 |
268 |
| The Effect of Bank Recapitalization Policy on Corporate Investment: Evidence from a Banking Crisis in Japan |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
67 |
| The Effect of Bank Recapitalization Policy on Corporate Investment: Evidence from a Banking Crisis in Japan |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
98 |
| The Heterogeneous Effects of COVID-19 on Labor Markets: People's Movement and Non-Pharmaceutical Interventions |
1 |
2 |
2 |
12 |
1 |
2 |
11 |
47 |
| Total Working Papers |
2 |
6 |
46 |
3,448 |
8 |
36 |
169 |
13,255 |
LogEc is hosted by the
Örebro University School of Business.