| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Causal Bootstrap |
0 |
0 |
0 |
54 |
1 |
2 |
3 |
75 |
| A Design-Based Perspective on Synthetic Control Methods |
0 |
0 |
0 |
45 |
2 |
3 |
9 |
113 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
4 |
7 |
10 |
255 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
0 |
2 |
7 |
340 |
| A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
4 |
4 |
7 |
572 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
4 |
7 |
8 |
649 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
1 |
8 |
12 |
531 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
4 |
3 |
4 |
7 |
38 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
1 |
4 |
7 |
9 |
10 |
| An Empirical Model for Strategic Network Formation |
0 |
0 |
0 |
51 |
3 |
6 |
14 |
205 |
| An empirical model for strategic network formation |
0 |
0 |
0 |
79 |
2 |
5 |
6 |
159 |
| Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions |
0 |
0 |
1 |
38 |
1 |
10 |
16 |
172 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
3 |
8 |
12 |
398 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
3 |
217 |
9 |
12 |
33 |
916 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
1 |
5 |
14 |
350 |
| Average causal response with variable treatment intensity |
0 |
0 |
1 |
6 |
5 |
7 |
14 |
101 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
1 |
2 |
15 |
344 |
21 |
44 |
126 |
1,200 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
1 |
2 |
2 |
360 |
6 |
12 |
21 |
996 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
1 |
422 |
2 |
19 |
23 |
2,266 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
2 |
6 |
6 |
358 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
8 |
17 |
18 |
513 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
1 |
0 |
2 |
5 |
8 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
6 |
4 |
6 |
8 |
52 |
| Causal Models for Longitudinal and Panel Data: A Survey |
0 |
1 |
3 |
70 |
0 |
5 |
12 |
106 |
| Causality in econometrics: methods in conversation with practice |
2 |
3 |
6 |
195 |
7 |
11 |
20 |
268 |
| Clustering, Spatial Correlations and Randomization Inference |
0 |
0 |
1 |
80 |
8 |
11 |
14 |
244 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
4 |
12 |
16 |
817 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
1 |
275 |
4 |
5 |
7 |
1,340 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
6 |
9 |
11 |
6,843 |
| Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
1 |
1 |
3 |
161 |
5 |
8 |
13 |
267 |
| Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis |
0 |
0 |
0 |
43 |
5 |
7 |
9 |
238 |
| Confidence intervals for partially identified parameters |
0 |
1 |
1 |
168 |
6 |
8 |
11 |
556 |
| Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models |
1 |
1 |
1 |
36 |
8 |
11 |
16 |
94 |
| Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
0 |
1 |
52 |
2 |
5 |
19 |
42 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
0 |
172 |
6 |
8 |
20 |
661 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
2 |
19 |
7 |
14 |
22 |
207 |
| Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
0 |
1 |
3 |
63 |
2 |
8 |
16 |
138 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
1 |
22 |
4 |
11 |
17 |
96 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
3 |
64 |
5 |
10 |
20 |
139 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
3 |
140 |
7 |
14 |
36 |
498 |
| Discrete Choice Models with Multiple Unobserved Choice Characteristics |
1 |
1 |
1 |
302 |
4 |
4 |
11 |
613 |
| Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
0 |
1 |
6 |
17 |
2 |
8 |
17 |
42 |
| Double-Robust Identification for Causal Panel Data Models |
0 |
1 |
3 |
28 |
4 |
9 |
15 |
100 |
| Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
47 |
7 |
17 |
19 |
175 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
2 |
1 |
3 |
3 |
20 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
1 |
7 |
9 |
10 |
| EFFICIENT ESTIMATION AND STRATIFIED SAMPLING |
0 |
0 |
0 |
1 |
6 |
7 |
8 |
1,485 |
| Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
2 |
9 |
10 |
1,340 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
1 |
4 |
556 |
7 |
12 |
37 |
1,336 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
2 |
5 |
907 |
4 |
13 |
24 |
2,451 |
| Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
0 |
0 |
3 |
397 |
6 |
13 |
22 |
873 |
| Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
3 |
5 |
7 |
170 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
7 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
1 |
3 |
3 |
25 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
22 |
3 |
7 |
9 |
75 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
0 |
80 |
7 |
11 |
14 |
214 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
1 |
2 |
68 |
3 |
6 |
9 |
101 |
| Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
0 |
3 |
13 |
92 |
11 |
20 |
69 |
309 |
| Estimating average treatment effects in Stata |
0 |
1 |
5 |
2,481 |
5 |
8 |
20 |
5,657 |
| Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
0 |
301 |
6 |
13 |
23 |
1,247 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
0 |
1 |
5 |
2 |
4 |
11 |
25 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
1 |
1 |
2 |
22 |
18 |
19 |
21 |
124 |
| Estimation Considerations in Contextual Bandits |
0 |
0 |
1 |
33 |
1 |
5 |
24 |
141 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
1 |
4 |
11 |
601 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
3 |
9 |
12 |
879 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program |
0 |
1 |
1 |
106 |
4 |
9 |
13 |
518 |
| Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
1 |
4 |
5 |
301 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
55 |
6 |
10 |
11 |
74 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
3 |
6 |
9 |
32 |
| Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
5 |
8 |
9 |
119 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
1 |
87 |
4 |
4 |
9 |
238 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
2 |
37 |
2 |
7 |
12 |
127 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
5 |
9 |
20 |
334 |
| Fixed Effects and the Generalized Mundlak Estimator |
0 |
0 |
0 |
42 |
1 |
4 |
12 |
118 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
422 |
1 |
4 |
8 |
1,975 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
3 |
1 |
2 |
3 |
843 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
4 |
2 |
3 |
4 |
43 |
| Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching |
0 |
0 |
0 |
13 |
1 |
4 |
5 |
69 |
| Identification and Estimation of Local Average Treatment Effects |
2 |
2 |
8 |
575 |
39 |
54 |
91 |
1,966 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
5 |
14 |
16 |
1,233 |
| Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
0 |
2 |
242 |
7 |
14 |
22 |
794 |
| Identification and Inference With Many Invalid Instruments |
0 |
0 |
1 |
14 |
1 |
2 |
9 |
105 |
| Identification and Inference in Nonlinear Difference-In-Differences Models |
0 |
0 |
2 |
821 |
4 |
7 |
25 |
2,646 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
0 |
1 |
101 |
1 |
2 |
6 |
359 |
| Identification and Inference with Many Invalid Instruments |
0 |
0 |
0 |
93 |
6 |
10 |
11 |
284 |
| Identification and efficiency bounds for the average match function under conditionally exogenous matching |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
26 |
| Identification of Causal Effects Using Instrumental Variables |
1 |
1 |
6 |
1,428 |
4 |
15 |
32 |
2,871 |
| Imposing Moment Restrictions from Auxiliary Data by Weighting |
0 |
0 |
1 |
168 |
2 |
4 |
8 |
906 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
141 |
7 |
7 |
8 |
747 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
5 |
8 |
10 |
393 |
| Information Theoretic Approaches to Inference in Movement Condition Models |
0 |
0 |
0 |
0 |
2 |
4 |
6 |
343 |
| Information theoretic approaches to inference in moment condition model |
0 |
0 |
0 |
67 |
6 |
8 |
9 |
363 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
0 |
3 |
7 |
11 |
808 |
| Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
3 |
5 |
7 |
1,937 |
| Instrumental Variables: An Econometrician's Perspective |
1 |
1 |
1 |
313 |
3 |
6 |
8 |
386 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
0 |
68 |
4 |
13 |
21 |
198 |
| Jackknife Instrumental Variables Estimation |
0 |
0 |
1 |
534 |
7 |
13 |
26 |
2,570 |
| Machine Learning Methods Economists Should Know About |
0 |
1 |
3 |
158 |
4 |
15 |
20 |
286 |
| Machine Learning Methods Economists Should Know About |
1 |
4 |
16 |
896 |
16 |
39 |
86 |
911 |
| Machine Learning for Estimating Heterogeneous Causal Effects |
2 |
5 |
11 |
955 |
12 |
24 |
55 |
2,316 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
1 |
261 |
5 |
15 |
25 |
577 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
1 |
197 |
5 |
15 |
20 |
302 |
| Matching methods for estimating treatment effects using Stata |
1 |
1 |
2 |
914 |
7 |
13 |
24 |
1,707 |
| Matching on the Estimated Propensity Score |
0 |
0 |
3 |
557 |
7 |
12 |
22 |
1,360 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
0 |
37 |
4 |
13 |
21 |
206 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
2 |
130 |
7 |
29 |
44 |
477 |
| Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
3 |
4 |
7 |
3,050 |
| Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
5 |
8 |
10 |
697 |
| Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
0 |
100 |
6 |
9 |
12 |
304 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
86 |
1 |
5 |
7 |
308 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
24 |
2 |
5 |
11 |
219 |
| Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
1 |
1 |
2 |
136 |
5 |
10 |
18 |
503 |
| Multiple Randomization Designs: Estimation and Inference with Interference |
1 |
1 |
3 |
68 |
4 |
10 |
28 |
116 |
| Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
0 |
292 |
3 |
5 |
8 |
1,274 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
3 |
8 |
11 |
757 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
7 |
5 |
11 |
12 |
44 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
2 |
2 |
4 |
818 |
| Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review |
0 |
0 |
2 |
573 |
87 |
179 |
190 |
1,443 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
7 |
13 |
27 |
309 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
2 |
4 |
9 |
629 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
4 |
7 |
10 |
225 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
12 |
10 |
15 |
20 |
135 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
16 |
19 |
22 |
218 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
4 |
10 |
17 |
1,333 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
1 |
3 |
137 |
5 |
11 |
20 |
535 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
2 |
4 |
104 |
9 |
21 |
29 |
397 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
7 |
9 |
15 |
283 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
1 |
1 |
40 |
6 |
8 |
10 |
134 |
| Optimal bandwidth choice for the regression discontinuity estimator |
0 |
1 |
1 |
292 |
3 |
8 |
22 |
945 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
2 |
61 |
5 |
10 |
21 |
219 |
| Predicting the Efficacy of Future Training Programs Using Past Experiences |
0 |
0 |
0 |
127 |
4 |
11 |
11 |
848 |
| Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments |
0 |
0 |
0 |
44 |
3 |
3 |
7 |
65 |
| Raking and Regression |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
403 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
5 |
10 |
10 |
435 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
1 |
68 |
17 |
21 |
22 |
326 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
5 |
889 |
9 |
14 |
35 |
2,165 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
3 |
367 |
2 |
18 |
34 |
849 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
2 |
9 |
192 |
5 |
11 |
33 |
596 |
| Recent developments in the econometrics of program evaluation |
0 |
2 |
4 |
336 |
8 |
15 |
27 |
889 |
| Recursive Partitioning for Heterogeneous Causal Effects |
0 |
1 |
2 |
68 |
11 |
20 |
31 |
290 |
| Redefine Statistical Significance |
0 |
0 |
1 |
1,190 |
11 |
17 |
25 |
1,892 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
1 |
4 |
1,055 |
3 |
10 |
26 |
2,602 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
0 |
3 |
1,243 |
4 |
14 |
33 |
3,226 |
| Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
3 |
6 |
10 |
214 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
1 |
1 |
2 |
141 |
15 |
18 |
23 |
252 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
1 |
1 |
15 |
4 |
11 |
18 |
63 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
0 |
71 |
5 |
10 |
16 |
213 |
| Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
8 |
11 |
14 |
260 |
| Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
0 |
1 |
4 |
35 |
8 |
13 |
22 |
99 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
18 |
114 |
178 |
182 |
239 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
2 |
4 |
9 |
21 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
36 |
16 |
17 |
23 |
52 |
| Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
1 |
1 |
3 |
1,417 |
9 |
29 |
61 |
3,770 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
1 |
2 |
4 |
508 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
1 |
316 |
1 |
3 |
13 |
1,276 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
4 |
6 |
6 |
624 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
38 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
17 |
2 |
6 |
9 |
81 |
| Standards for Regression Discontinuity Designs |
0 |
1 |
1 |
81 |
2 |
8 |
13 |
293 |
| Synthetic Difference In Differences |
1 |
1 |
2 |
155 |
4 |
11 |
24 |
467 |
| Synthetic Difference in Differences |
0 |
2 |
9 |
173 |
7 |
21 |
60 |
833 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
59 |
1 |
2 |
4 |
253 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
2 |
1 |
5 |
7 |
30 |
| The Econometrics of Randomized Experiments |
0 |
1 |
13 |
253 |
9 |
19 |
69 |
711 |
| The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates |
0 |
1 |
26 |
26 |
6 |
15 |
43 |
43 |
| The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
41 |
| The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
96 |
5 |
11 |
13 |
817 |
| The Regression Discontinuity Design — Theory and Applications |
0 |
0 |
0 |
44 |
5 |
6 |
7 |
147 |
| The Role of the Propensity Score in Estimating Dose-Response Functions |
1 |
2 |
8 |
889 |
7 |
11 |
33 |
2,581 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
0 |
20 |
4 |
6 |
9 |
79 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
0 |
45 |
8 |
9 |
17 |
281 |
| The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
0 |
1 |
148 |
9 |
15 |
26 |
257 |
| The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
0 |
1 |
8 |
90 |
3 |
15 |
65 |
410 |
| Using Experiments to Correct for Selection in Observational Studies |
1 |
6 |
8 |
94 |
8 |
21 |
36 |
224 |
| Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation |
1 |
2 |
5 |
5 |
5 |
14 |
23 |
23 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
62 |
4 |
8 |
13 |
113 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
1 |
1 |
24 |
1 |
6 |
8 |
81 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
2 |
6 |
226 |
7 |
28 |
49 |
1,453 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
109 |
16 |
30 |
65 |
326 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
3 |
96 |
8 |
25 |
43 |
229 |
| Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
1 |
1 |
9 |
306 |
4 |
11 |
30 |
767 |
| Why ask Why? Forward Causal Inference and Reverse Causal Questions |
0 |
0 |
3 |
139 |
5 |
10 |
23 |
398 |
| Total Working Papers |
29 |
80 |
336 |
33,779 |
1,106 |
2,201 |
3,774 |
120,767 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
38 |
5 |
9 |
13 |
241 |
| A Measure of Robustness to Misspecification |
0 |
0 |
1 |
61 |
5 |
9 |
20 |
273 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
1 |
3 |
314 |
6 |
10 |
15 |
1,166 |
| Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
0 |
0 |
29 |
8 |
12 |
27 |
206 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
1 |
2 |
4 |
440 |
10 |
14 |
23 |
1,489 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
4 |
5 |
9 |
800 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
4 |
236 |
5 |
26 |
40 |
708 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
1 |
6 |
8 |
70 |
4 |
25 |
50 |
417 |
| Book Review Feature: Public Policy in an Uncertain World: By Charles F. Manski (Cambridge, MA: Harvard University Press. 2013, pp. 224, $39.95. ISBN: 978‐0674066892) |
0 |
0 |
0 |
43 |
2 |
4 |
5 |
183 |
| Case-control studies with contaminated controls |
0 |
1 |
2 |
103 |
2 |
6 |
9 |
281 |
| Choosing instrumental variables in conditional moment restriction models |
0 |
1 |
1 |
89 |
2 |
4 |
6 |
273 |
| Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
8 |
9 |
12 |
203 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
2 |
10 |
306 |
0 |
8 |
29 |
800 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
8 |
12 |
16 |
455 |
| Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
0 |
0 |
39 |
3 |
6 |
11 |
217 |
| Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
0 |
19 |
0 |
4 |
5 |
59 |
| Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
0 |
16 |
3 |
7 |
12 |
129 |
| Confidence Intervals for Partially Identified Parameters |
0 |
0 |
0 |
483 |
4 |
9 |
23 |
1,232 |
| Confidence intervals in generalized method of moments models |
0 |
0 |
0 |
51 |
4 |
4 |
5 |
208 |
| DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
11 |
13 |
15 |
223 |
| Dealing with limited overlap in estimation of average treatment effects |
0 |
1 |
8 |
108 |
2 |
9 |
32 |
405 |
| Design-based analysis in Difference-In-Differences settings with staggered adoption |
4 |
7 |
30 |
130 |
14 |
40 |
128 |
565 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
5 |
10 |
42 |
1,802 |
| Efficient estimation and stratified sampling |
0 |
0 |
1 |
226 |
5 |
11 |
16 |
686 |
| Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
0 |
227 |
2 |
4 |
10 |
488 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
2 |
3 |
29 |
5 |
9 |
13 |
110 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
3 |
44 |
3 |
4 |
18 |
208 |
| Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
0 |
0 |
0 |
180 |
4 |
12 |
18 |
503 |
| Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
3 |
8 |
452 |
5 |
18 |
50 |
1,682 |
| Estimation of the Conditional Variance in Paired Experiments |
1 |
1 |
1 |
12 |
6 |
7 |
13 |
78 |
| Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment |
0 |
0 |
0 |
0 |
2 |
4 |
6 |
577 |
| Evaluating the Cost of Conscription in The Netherlands |
0 |
0 |
0 |
0 |
6 |
22 |
41 |
1,060 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
0 |
0 |
1 |
109 |
3 |
5 |
13 |
434 |
| Exact p-Values for Network Interference |
0 |
0 |
2 |
11 |
3 |
7 |
18 |
62 |
| External Validity in Fuzzy Regression Discontinuity Designs |
1 |
4 |
10 |
49 |
9 |
18 |
34 |
191 |
| Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
4 |
8 |
15 |
717 |
| Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
0 |
0 |
0 |
4 |
1 |
1 |
4 |
23 |
| Identification and Estimation of Local Average Treatment Effects |
4 |
10 |
39 |
1,399 |
21 |
62 |
207 |
4,115 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
2 |
153 |
3 |
11 |
19 |
412 |
| Identification and Inference With Many Invalid Instruments |
0 |
1 |
3 |
33 |
7 |
15 |
25 |
214 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
2 |
5 |
8 |
468 |
6 |
19 |
43 |
1,296 |
| Implementing matching estimators for average treatment effects in Stata |
0 |
3 |
7 |
1,315 |
13 |
51 |
83 |
2,987 |
| Imposing Moment Restrictions From Auxiliary Data By Weighting |
0 |
1 |
3 |
159 |
3 |
11 |
27 |
581 |
| Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
0 |
10 |
1 |
2 |
5 |
75 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
3 |
3 |
8 |
383 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
7 |
29 |
48 |
1,122 |
| Instrumental variable estimation of nonseparable models |
0 |
1 |
1 |
174 |
4 |
40 |
43 |
398 |
| Jackknife Instrumental Variables Estimation |
1 |
1 |
7 |
355 |
8 |
17 |
38 |
1,455 |
| Large Sample Properties of Matching Estimators for Average Treatment Effects |
2 |
6 |
25 |
530 |
6 |
54 |
125 |
1,722 |
| Machine Learning Methods That Economists Should Know About |
4 |
12 |
64 |
323 |
18 |
60 |
187 |
832 |
| Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
1 |
1 |
123 |
2 |
4 |
5 |
259 |
| Matching Methods in Practice: Three Examples |
0 |
1 |
10 |
381 |
6 |
10 |
44 |
1,062 |
| Matching on the Estimated Propensity Score |
1 |
2 |
3 |
81 |
12 |
26 |
48 |
438 |
| Matrix Completion Methods for Causal Panel Data Models |
1 |
2 |
3 |
24 |
4 |
8 |
23 |
78 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
8 |
15 |
17 |
488 |
| Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
1 |
1 |
10 |
723 |
26 |
36 |
78 |
1,868 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
1 |
192 |
2 |
3 |
10 |
563 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
2 |
3 |
258 |
12 |
23 |
30 |
890 |
| One-Step Estimators for Over-Identified Generalized Method of Moments Models |
0 |
0 |
1 |
152 |
8 |
15 |
35 |
480 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
1 |
5 |
18 |
800 |
13 |
29 |
90 |
2,718 |
| Optimal stock/flow panels |
0 |
0 |
1 |
15 |
4 |
6 |
9 |
95 |
| Optimized Regression Discontinuity Designs |
0 |
0 |
6 |
137 |
6 |
15 |
40 |
436 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
4 |
86 |
5 |
12 |
29 |
273 |
| Predicting the efficacy of future training programs using past experiences at other locations |
0 |
0 |
1 |
114 |
3 |
6 |
10 |
385 |
| Propensity score matching and subclassification in observational studies with multi‐level treatments |
0 |
0 |
0 |
9 |
5 |
8 |
12 |
62 |
| Random Effects Estimators with many Instrumental Variables |
1 |
1 |
1 |
157 |
2 |
6 |
10 |
601 |
| Re-employment probabilities over the business cycle |
0 |
0 |
0 |
45 |
6 |
9 |
12 |
263 |
| Recent Developments in the Econometrics of Program Evaluation |
2 |
5 |
21 |
912 |
15 |
34 |
92 |
2,587 |
| Redefine statistical significance |
0 |
1 |
6 |
26 |
3 |
8 |
29 |
127 |
| Regression discontinuity designs: A guide to practice |
1 |
3 |
26 |
1,907 |
38 |
61 |
154 |
5,299 |
| Rejoinder |
0 |
0 |
0 |
19 |
1 |
1 |
3 |
57 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
3 |
8 |
103 |
9 |
21 |
47 |
470 |
| Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
0 |
0 |
1 |
37 |
1 |
5 |
8 |
180 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
4 |
43 |
4 |
14 |
26 |
204 |
| Sensitivity to Exogeneity Assumptions in Program Evaluation |
3 |
4 |
5 |
213 |
7 |
13 |
22 |
523 |
| Social Networks and the Identification of Peer Effects |
1 |
4 |
7 |
126 |
12 |
25 |
41 |
304 |
| Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
2 |
232 |
5 |
9 |
15 |
527 |
| Statistical Significance, p-Values, and the Reporting of Uncertainty |
0 |
2 |
2 |
35 |
6 |
12 |
20 |
147 |
| Synthetic Difference-in-Differences |
4 |
14 |
58 |
450 |
32 |
77 |
215 |
1,217 |
| The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
3 |
7 |
17 |
71 |
9 |
19 |
42 |
1,322 |
| The State of Applied Econometrics: Causality and Policy Evaluation |
0 |
2 |
8 |
259 |
17 |
34 |
85 |
916 |
| Transition Models in a Non-stationary Environment |
0 |
0 |
1 |
38 |
3 |
6 |
10 |
248 |
| Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs |
1 |
11 |
43 |
133 |
14 |
53 |
160 |
626 |
| Total Journal Articles |
41 |
143 |
531 |
17,829 |
573 |
1,382 |
3,145 |
60,459 |