| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A discrete choice model for partially ordered alternatives |
0 |
0 |
0 |
33 |
0 |
1 |
1 |
28 |
| An instrumental variable model of multiple discrete choice |
0 |
0 |
1 |
128 |
0 |
0 |
3 |
296 |
| An instrumental variable model of multiple discrete choice |
0 |
0 |
2 |
35 |
0 |
0 |
2 |
62 |
| An instrumental variable random coefficients model for binary outcomes |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
6 |
| An instrumental variable random coefficients model for binary outcomes |
0 |
0 |
0 |
46 |
0 |
0 |
1 |
98 |
| Characterizations of identified sets delivered by structural econometric models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| Characterizations of identified sets delivered by structural econometric models |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
22 |
| Characterizations of identified sets delivered by structural econometric models |
0 |
0 |
2 |
2 |
0 |
0 |
3 |
3 |
| Characterizations of identified sets delivered by structural econometric models |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
59 |
| Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities |
0 |
0 |
0 |
168 |
0 |
1 |
4 |
599 |
| Counterfactual worlds |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
44 |
| Counterfactual worlds |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
| Counterfactual worlds |
0 |
0 |
1 |
27 |
0 |
0 |
1 |
129 |
| Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure |
0 |
0 |
0 |
15 |
0 |
0 |
2 |
19 |
| Estimating Endogenous Effects on Ordinal Outcomes |
0 |
0 |
1 |
52 |
1 |
1 |
5 |
71 |
| Finite Sample Inference for the Maximum Score Estimand |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
| Finite Sample Inference for the Maximum Score Estimand |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
31 |
| Generalized Instrumental Variable Models, Methods, and Applications |
0 |
1 |
2 |
10 |
0 |
1 |
3 |
30 |
| Generalized instrumental variable models |
0 |
0 |
0 |
45 |
0 |
2 |
3 |
91 |
| Generalized instrumental variable models |
0 |
1 |
1 |
2 |
0 |
1 |
1 |
2 |
| Generalized instrumental variable models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
| Generalized instrumental variable models |
0 |
0 |
0 |
87 |
0 |
0 |
11 |
134 |
| Generalized instrumental variable models, methods, and applications |
0 |
0 |
1 |
26 |
0 |
1 |
2 |
37 |
| IV methods for Tobit models |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
16 |
| Identification analysis in models with unrestricted latent variables: Fixed effects and initial conditions |
0 |
0 |
0 |
3 |
1 |
2 |
6 |
13 |
| Identification analysis in models with unrestricted latent variables: Fixed effects and initial conditions |
0 |
0 |
1 |
10 |
0 |
1 |
4 |
14 |
| Identification and estimation of firms' marginal cost functions with incomplete knowledge of strategic behavior |
0 |
0 |
0 |
248 |
0 |
2 |
3 |
1,049 |
| Identification of the distribution of valuations in an incomplete model of English auctions |
0 |
0 |
0 |
25 |
0 |
1 |
4 |
46 |
| Identification of the distribution of valuations in an incomplete model of English auctions |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
| Identification with Imperfect Instruments |
0 |
0 |
1 |
68 |
0 |
0 |
2 |
194 |
| Identification with imperfect instruments |
0 |
0 |
0 |
130 |
0 |
0 |
0 |
306 |
| Implementing intersection bounds in Stata |
0 |
0 |
0 |
24 |
1 |
1 |
1 |
114 |
| Implementing intersection bounds in Stata |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| Implementing intersection bounds in Stata |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
64 |
| Implementing intersection bounds in Stata |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
| Incomplete English auction models with heterogeneity |
0 |
0 |
0 |
22 |
0 |
1 |
4 |
36 |
| Incomplete English auction models with heterogeneity |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
2 |
| Inference in Ordered Response Games with Complete Information |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| Inference in Ordered Response Games with Complete Information |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
46 |
| Inference in ordered response games with complete information |
0 |
0 |
1 |
3 |
0 |
0 |
2 |
8 |
| Inference in ordered response games with complete information |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
| Inference in ordered response games with complete information |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
71 |
| Inference in ordered response games with complete information |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
4 |
| Intersection Bounds: estimation and inference |
0 |
0 |
1 |
1 |
0 |
1 |
2 |
6 |
| Intersection Bounds: estimation and inference |
0 |
0 |
1 |
88 |
0 |
0 |
2 |
329 |
| Intersection bounds: estimation and inference |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
4 |
| Intersection bounds: estimation and inference |
0 |
0 |
0 |
17 |
1 |
2 |
2 |
98 |
| Intersection bounds: estimation and inference |
0 |
0 |
0 |
36 |
0 |
0 |
2 |
126 |
| Intersection bounds: estimation and inference |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
| Partial Identification in Applied Research: Benefits and Challenges |
0 |
1 |
3 |
15 |
1 |
3 |
11 |
108 |
| Partial Identification in Applied Research: Benefits and Challenges |
0 |
0 |
0 |
55 |
0 |
0 |
4 |
77 |
| Partial identification in applied research: benefits and challenges |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
| Partial identification in applied research: benefits and challenges |
0 |
0 |
0 |
4 |
1 |
1 |
4 |
56 |
| Partial identification in applied research: benefits and challenges |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
11 |
| Partial identification in applied research: benefits and challenges |
0 |
0 |
0 |
20 |
0 |
0 |
1 |
67 |
| Policy Learning with Confidence |
1 |
3 |
3 |
3 |
1 |
8 |
8 |
8 |
| Robust Analysis of Short Panels |
0 |
0 |
1 |
5 |
0 |
0 |
6 |
9 |
| Robust analysis of short panels |
0 |
0 |
2 |
2 |
1 |
1 |
2 |
2 |
| Robust analysis of short panels |
1 |
1 |
2 |
21 |
1 |
1 |
6 |
16 |
| Set identification via quantile restrictions in short panels |
0 |
0 |
0 |
46 |
0 |
0 |
1 |
141 |
| Simultaneous equations for discrete outcomes: coherence, completeness, and identification |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
6 |
| Simultaneous equations for discrete outcomes: coherence, completeness, and identification |
0 |
0 |
0 |
62 |
0 |
1 |
4 |
155 |
| Structural modeling of simultaneous discrete choice |
0 |
0 |
1 |
13 |
0 |
0 |
1 |
24 |
| What do instrumental variable models deliver with discrete dependent variables? |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
| What do instrumental variable models deliver with discrete dependent variables? |
0 |
0 |
0 |
90 |
0 |
0 |
0 |
136 |
| Total Working Papers |
2 |
7 |
28 |
1,863 |
10 |
40 |
154 |
5,158 |
LogEc is hosted by the
Örebro University School of Business.