| 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 |
1 |
54 |
0 |
0 |
2 |
72 |
| A Design-Based Perspective on Synthetic Control Methods |
0 |
0 |
1 |
45 |
0 |
1 |
8 |
105 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
0 |
2 |
3 |
247 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
0 |
0 |
1 |
333 |
| A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
565 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
641 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
521 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
1 |
1 |
4 |
0 |
1 |
1 |
32 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
1 |
1 |
1 |
0 |
1 |
1 |
2 |
| An Empirical Model for Strategic Network Formation |
0 |
0 |
2 |
51 |
0 |
4 |
8 |
195 |
| An empirical model for strategic network formation |
0 |
0 |
0 |
79 |
0 |
0 |
2 |
153 |
| Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions |
0 |
0 |
0 |
37 |
0 |
2 |
5 |
158 |
| Average Causal Response with Variable Treatment Intensity |
0 |
1 |
5 |
215 |
3 |
9 |
31 |
892 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
387 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
2 |
6 |
8 |
342 |
| Average causal response with variable treatment intensity |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
88 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
2 |
4 |
13 |
333 |
15 |
37 |
108 |
1,111 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
0 |
3 |
358 |
2 |
3 |
8 |
978 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
1 |
2 |
422 |
0 |
1 |
7 |
2,244 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
352 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
496 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
45 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
4 |
| Causal Models for Longitudinal and Panel Data: A Survey |
0 |
1 |
17 |
68 |
0 |
3 |
36 |
97 |
| Causality in econometrics: methods in conversation with practice |
0 |
0 |
17 |
189 |
1 |
3 |
36 |
251 |
| Clustering, Spatial Correlations and Randomization Inference |
0 |
0 |
0 |
79 |
0 |
0 |
2 |
230 |
| Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes |
0 |
1 |
5 |
87 |
2 |
5 |
34 |
193 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
1 |
4 |
4 |
805 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
274 |
0 |
0 |
6 |
1,333 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
0 |
1 |
2 |
6,833 |
| Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
0 |
0 |
2 |
158 |
0 |
0 |
3 |
254 |
| Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
229 |
| Confidence intervals for partially identified parameters |
0 |
0 |
0 |
167 |
0 |
0 |
2 |
545 |
| Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models |
0 |
0 |
2 |
35 |
0 |
2 |
6 |
80 |
| Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
0 |
1 |
51 |
1 |
5 |
11 |
28 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
2 |
172 |
1 |
2 |
15 |
643 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
2 |
2 |
4 |
19 |
2 |
3 |
7 |
188 |
| Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
0 |
0 |
4 |
60 |
0 |
1 |
16 |
123 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
1 |
21 |
0 |
1 |
10 |
80 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
2 |
137 |
1 |
5 |
14 |
467 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
0 |
61 |
1 |
2 |
7 |
121 |
| Discrete Choice Models with Multiple Unobserved Choice Characteristics |
0 |
0 |
1 |
301 |
1 |
2 |
3 |
604 |
| Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
1 |
2 |
3 |
13 |
2 |
3 |
10 |
28 |
| Double-Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
25 |
0 |
2 |
5 |
87 |
| Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
47 |
0 |
1 |
2 |
157 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
17 |
| EFFICIENT ESTIMATION AND STRATIFIED SAMPLING |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1,477 |
| Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,330 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
1 |
2 |
903 |
2 |
3 |
7 |
2,430 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
1 |
12 |
553 |
4 |
8 |
37 |
1,307 |
| Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
0 |
1 |
6 |
395 |
0 |
3 |
31 |
854 |
| Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
0 |
0 |
31 |
163 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
6 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
22 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
80 |
0 |
2 |
6 |
202 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
66 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
1 |
66 |
0 |
1 |
2 |
93 |
| Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
0 |
5 |
16 |
84 |
4 |
16 |
64 |
256 |
| Estimating average treatment effects in Stata |
2 |
4 |
8 |
2,480 |
3 |
7 |
19 |
5,644 |
| Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
2 |
301 |
1 |
2 |
18 |
1,226 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
1 |
1 |
5 |
0 |
2 |
6 |
16 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
1 |
1 |
2 |
21 |
1 |
1 |
4 |
104 |
| Estimation Considerations in Contextual Bandits |
0 |
0 |
0 |
32 |
3 |
6 |
12 |
123 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
592 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
0 |
2 |
8 |
869 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program |
0 |
0 |
0 |
105 |
0 |
0 |
1 |
505 |
| Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
297 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
0 |
1 |
1 |
24 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
55 |
0 |
1 |
2 |
64 |
| Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
0 |
1 |
3 |
111 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
1 |
2 |
36 |
0 |
2 |
5 |
117 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
0 |
86 |
0 |
0 |
6 |
229 |
| Finite Population Causal Standard Errors |
0 |
0 |
2 |
144 |
1 |
4 |
11 |
318 |
| Fixed Effects and the Generalized Mundlak Estimator |
0 |
0 |
1 |
42 |
0 |
2 |
6 |
108 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
1 |
422 |
1 |
2 |
5 |
1,969 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
840 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
4 |
0 |
1 |
2 |
40 |
| Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
64 |
| Identification and Estimation of Local Average Treatment Effects |
1 |
1 |
8 |
568 |
4 |
13 |
33 |
1,888 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
0 |
0 |
5 |
1,217 |
| Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
2 |
3 |
242 |
0 |
4 |
8 |
776 |
| Identification and Inference With Many Invalid Instruments |
0 |
1 |
1 |
14 |
0 |
4 |
9 |
100 |
| Identification and Inference in Nonlinear Difference-In-Differences Models |
0 |
0 |
0 |
819 |
0 |
5 |
12 |
2,626 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
0 |
4 |
100 |
0 |
1 |
8 |
354 |
| Identification and Inference with Many Invalid Instruments |
0 |
0 |
0 |
93 |
0 |
1 |
3 |
274 |
| Identification and efficiency bounds for the average match function under conditionally exogenous matching |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
24 |
| Identification of Causal Effects Using Instrumental Variables |
1 |
4 |
9 |
1,426 |
2 |
7 |
23 |
2,846 |
| Imposing Moment Restrictions from Auxiliary Data by Weighting |
0 |
0 |
0 |
167 |
0 |
1 |
5 |
899 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
1 |
141 |
0 |
0 |
1 |
739 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
384 |
| Information Theoretic Approaches to Inference in Movement Condition Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
337 |
| Information theoretic approaches to inference in moment condition model |
0 |
0 |
0 |
67 |
0 |
0 |
1 |
354 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
798 |
| Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
0 |
1 |
4 |
1,931 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
2 |
312 |
0 |
0 |
3 |
378 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
2 |
68 |
1 |
1 |
5 |
178 |
| Jackknife Instrumental Variables Estimation |
0 |
0 |
4 |
533 |
0 |
1 |
9 |
2,545 |
| Machine Learning Methods Economists Should Know About |
0 |
1 |
7 |
156 |
0 |
1 |
24 |
267 |
| Machine Learning Methods Economists Should Know About |
1 |
3 |
14 |
883 |
3 |
15 |
68 |
840 |
| Machine Learning for Estimating Heterogeneous Causal Effects |
0 |
1 |
8 |
945 |
1 |
8 |
40 |
2,269 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
0 |
196 |
0 |
1 |
8 |
283 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
3 |
260 |
1 |
3 |
20 |
555 |
| Matching methods for estimating treatment effects using Stata |
0 |
0 |
7 |
912 |
1 |
2 |
15 |
1,685 |
| Matching on the Estimated Propensity Score |
0 |
1 |
1 |
555 |
0 |
4 |
11 |
1,342 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
0 |
37 |
0 |
2 |
10 |
187 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
2 |
128 |
0 |
3 |
14 |
436 |
| Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
0 |
0 |
2 |
3,043 |
| Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
0 |
1 |
5 |
688 |
| Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
1 |
100 |
0 |
1 |
5 |
293 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
86 |
0 |
0 |
0 |
301 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
23 |
0 |
1 |
4 |
209 |
| Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
0 |
1 |
1 |
135 |
1 |
5 |
17 |
490 |
| Multiple Randomization Designs |
0 |
0 |
3 |
65 |
1 |
2 |
16 |
90 |
| Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
0 |
292 |
0 |
0 |
1 |
1,266 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
814 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
0 |
2 |
3 |
748 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
32 |
| Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review |
0 |
1 |
3 |
572 |
1 |
6 |
13 |
1,259 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
0 |
0 |
0 |
620 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
115 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
0 |
12 |
13 |
294 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
0 |
1 |
1 |
216 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
0 |
1 |
1 |
1,317 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
196 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
0 |
100 |
0 |
2 |
6 |
370 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
1 |
134 |
0 |
2 |
13 |
517 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
1 |
39 |
0 |
1 |
9 |
125 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
0 |
2 |
12 |
270 |
| Optimal bandwidth choice for the regression discontinuity estimator |
0 |
0 |
1 |
291 |
1 |
2 |
11 |
925 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
1 |
5 |
60 |
0 |
3 |
14 |
201 |
| Predicting the Efficacy of Future Training Programs Using Past Experiences |
0 |
0 |
0 |
127 |
0 |
0 |
0 |
837 |
| Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments |
0 |
0 |
2 |
44 |
1 |
2 |
9 |
60 |
| Raking and Regression |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
399 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
67 |
0 |
0 |
2 |
304 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
425 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
1 |
884 |
1 |
4 |
20 |
2,134 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
3 |
364 |
2 |
5 |
13 |
820 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
6 |
185 |
1 |
9 |
19 |
572 |
| Recent developments in the econometrics of program evaluation |
0 |
0 |
0 |
332 |
1 |
2 |
5 |
864 |
| Recursive Partitioning for Heterogeneous Causal Effects |
1 |
1 |
4 |
67 |
1 |
6 |
23 |
265 |
| Redefine Statistical Significance |
0 |
0 |
4 |
1,189 |
1 |
2 |
14 |
1,869 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
0 |
4 |
1,240 |
2 |
3 |
16 |
3,196 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
2 |
4 |
1,053 |
1 |
6 |
17 |
2,582 |
| Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
1 |
1 |
4 |
205 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
0 |
0 |
139 |
0 |
0 |
1 |
229 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
1 |
3 |
4 |
48 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
2 |
71 |
1 |
1 |
6 |
198 |
| Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
246 |
| Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
0 |
1 |
1 |
32 |
0 |
2 |
8 |
79 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
0 |
3 |
5 |
15 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
1 |
18 |
0 |
1 |
4 |
58 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
2 |
36 |
0 |
2 |
4 |
31 |
| Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
1 |
2 |
6 |
1,416 |
2 |
6 |
23 |
3,715 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
0 |
1 |
3 |
505 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
618 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
5 |
315 |
1 |
2 |
10 |
1,265 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
36 |
| Sources of identifying information in evaluation models |
0 |
0 |
2 |
17 |
1 |
1 |
6 |
73 |
| Standards for Regression Discontinuity Designs |
0 |
0 |
2 |
80 |
1 |
2 |
11 |
282 |
| Synthetic Difference In Differences |
0 |
0 |
8 |
153 |
1 |
5 |
30 |
448 |
| Synthetic Difference in Differences |
0 |
2 |
16 |
166 |
7 |
12 |
80 |
785 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
24 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
1 |
59 |
0 |
0 |
1 |
249 |
| The Econometrics of Randomized Experiments |
0 |
4 |
19 |
244 |
2 |
13 |
69 |
655 |
| The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
39 |
| The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
96 |
0 |
0 |
3 |
804 |
| The Regression Discontinuity Design — Theory and Applications |
0 |
0 |
2 |
44 |
1 |
1 |
4 |
141 |
| The Role of the Propensity Score in Estimating Dose-Response Functions |
2 |
3 |
16 |
884 |
2 |
6 |
35 |
2,554 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
1 |
20 |
1 |
2 |
5 |
72 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
2 |
45 |
2 |
4 |
23 |
268 |
| The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
0 |
0 |
147 |
0 |
1 |
3 |
232 |
| The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
1 |
4 |
11 |
86 |
4 |
23 |
99 |
368 |
| Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
23 |
0 |
1 |
5 |
74 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
2 |
62 |
0 |
2 |
9 |
102 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
2 |
94 |
1 |
1 |
7 |
187 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
105 |
1 |
3 |
22 |
264 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
2 |
221 |
3 |
6 |
22 |
1,410 |
| Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
4 |
5 |
8 |
302 |
6 |
8 |
15 |
745 |
| Why ask Why? Forward Causal Inference and Reverse Causal Questions |
0 |
0 |
6 |
136 |
1 |
3 |
21 |
378 |
| Total Working Papers |
24 |
74 |
388 |
33,517 |
126 |
470 |
1,932 |
117,463 |
| 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 |
0 |
2 |
3 |
230 |
| A Measure of Robustness to Misspecification |
0 |
1 |
2 |
61 |
1 |
4 |
9 |
257 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
2 |
2 |
313 |
1 |
4 |
5 |
1,155 |
| Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
0 |
3 |
29 |
0 |
3 |
12 |
182 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
1 |
2 |
6 |
438 |
1 |
3 |
14 |
1,469 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
1 |
3 |
3 |
794 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
2 |
2 |
234 |
1 |
6 |
14 |
674 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
8 |
63 |
0 |
6 |
29 |
373 |
| 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 |
0 |
0 |
1 |
178 |
| Case-control studies with contaminated controls |
0 |
0 |
1 |
101 |
0 |
1 |
7 |
273 |
| Choosing instrumental variables in conditional moment restriction models |
0 |
0 |
0 |
88 |
0 |
1 |
2 |
268 |
| Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
191 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
4 |
10 |
300 |
4 |
11 |
24 |
782 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
1 |
3 |
4 |
442 |
| Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
0 |
1 |
39 |
0 |
2 |
7 |
208 |
| Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
1 |
19 |
0 |
1 |
3 |
55 |
| Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
117 |
| Confidence Intervals for Partially Identified Parameters |
0 |
0 |
0 |
483 |
0 |
0 |
0 |
1,209 |
| Confidence intervals in generalized method of moments models |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
203 |
| DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
0 |
1 |
2 |
209 |
| Dealing with limited overlap in estimation of average treatment effects |
0 |
3 |
8 |
103 |
1 |
7 |
24 |
380 |
| Design-based analysis in Difference-In-Differences settings with staggered adoption |
2 |
10 |
36 |
110 |
10 |
30 |
140 |
467 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
4 |
11 |
41 |
1,771 |
| Efficient estimation and stratified sampling |
0 |
1 |
1 |
226 |
1 |
2 |
3 |
672 |
| Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
1 |
227 |
1 |
1 |
4 |
479 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
26 |
0 |
0 |
3 |
97 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
3 |
41 |
0 |
3 |
9 |
193 |
| Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
0 |
0 |
2 |
180 |
2 |
2 |
10 |
487 |
| Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
1 |
3 |
13 |
447 |
4 |
15 |
44 |
1,647 |
| Estimation of the Conditional Variance in Paired Experiments |
0 |
0 |
0 |
11 |
1 |
2 |
5 |
67 |
| Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
571 |
| Evaluating the Cost of Conscription in The Netherlands |
0 |
0 |
0 |
0 |
2 |
6 |
23 |
1,025 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
0 |
0 |
0 |
108 |
0 |
1 |
5 |
422 |
| Exact p-Values for Network Interference |
0 |
1 |
1 |
10 |
0 |
4 |
6 |
48 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
2 |
7 |
41 |
2 |
5 |
33 |
162 |
| Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
703 |
| Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
0 |
0 |
2 |
4 |
0 |
1 |
5 |
20 |
| Identification and Estimation of Local Average Treatment Effects |
6 |
13 |
22 |
1,373 |
24 |
48 |
104 |
3,956 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
1 |
3 |
152 |
0 |
3 |
11 |
396 |
| Identification and Inference With Many Invalid Instruments |
0 |
1 |
1 |
31 |
0 |
2 |
13 |
191 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
1 |
2 |
5 |
462 |
2 |
7 |
31 |
1,260 |
| Implementing matching estimators for average treatment effects in Stata |
0 |
1 |
6 |
1,309 |
2 |
9 |
39 |
2,913 |
| Imposing Moment Restrictions From Auxiliary Data By Weighting |
0 |
2 |
16 |
158 |
3 |
11 |
41 |
565 |
| Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
0 |
10 |
0 |
0 |
3 |
70 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
0 |
2 |
4 |
377 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
2 |
8 |
15 |
1,082 |
| Instrumental variable estimation of nonseparable models |
0 |
0 |
0 |
173 |
0 |
0 |
1 |
355 |
| Jackknife Instrumental Variables Estimation |
0 |
2 |
5 |
350 |
0 |
2 |
16 |
1,419 |
| Large Sample Properties of Matching Estimators for Average Treatment Effects |
0 |
3 |
16 |
508 |
3 |
12 |
71 |
1,609 |
| Machine Learning Methods That Economists Should Know About |
4 |
17 |
73 |
276 |
13 |
46 |
206 |
691 |
| Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
0 |
1 |
122 |
0 |
0 |
1 |
254 |
| Matching Methods in Practice: Three Examples |
0 |
1 |
11 |
372 |
2 |
9 |
50 |
1,027 |
| Matching on the Estimated Propensity Score |
0 |
0 |
3 |
78 |
1 |
4 |
19 |
394 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
5 |
21 |
0 |
4 |
13 |
59 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
0 |
0 |
7 |
471 |
| Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
2 |
6 |
20 |
719 |
4 |
17 |
65 |
1,807 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
1 |
2 |
192 |
0 |
3 |
11 |
556 |
| On the Failure of the Bootstrap for Matching Estimators |
1 |
1 |
4 |
256 |
2 |
4 |
12 |
864 |
| One-Step Estimators for Over-Identified Generalized Method of Moments Models |
1 |
1 |
4 |
152 |
1 |
3 |
8 |
448 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
8 |
782 |
6 |
14 |
56 |
2,642 |
| Optimal stock/flow panels |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
86 |
| Optimized Regression Discontinuity Designs |
1 |
1 |
16 |
132 |
2 |
5 |
26 |
401 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
1 |
5 |
83 |
1 |
2 |
22 |
246 |
| Predicting the efficacy of future training programs using past experiences at other locations |
0 |
0 |
2 |
113 |
0 |
1 |
9 |
376 |
| Propensity score matching and subclassification in observational studies with multi‐level treatments |
0 |
0 |
3 |
9 |
1 |
2 |
8 |
52 |
| Random Effects Estimators with many Instrumental Variables |
0 |
0 |
0 |
156 |
0 |
2 |
3 |
593 |
| Re-employment probabilities over the business cycle |
0 |
0 |
3 |
45 |
0 |
1 |
6 |
252 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
8 |
31 |
899 |
3 |
21 |
78 |
2,516 |
| Redefine statistical significance |
1 |
3 |
17 |
23 |
3 |
11 |
72 |
109 |
| Regression discontinuity designs: A guide to practice |
0 |
9 |
30 |
1,890 |
10 |
29 |
109 |
5,174 |
| Rejoinder |
0 |
0 |
0 |
19 |
0 |
0 |
2 |
54 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
1 |
2 |
8 |
97 |
2 |
4 |
21 |
427 |
| Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
0 |
0 |
1 |
36 |
1 |
1 |
6 |
173 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
39 |
1 |
2 |
8 |
180 |
| Sensitivity to Exogeneity Assumptions in Program Evaluation |
0 |
0 |
3 |
208 |
0 |
1 |
9 |
502 |
| Social Networks and the Identification of Peer Effects |
0 |
0 |
8 |
119 |
2 |
6 |
18 |
269 |
| Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
1 |
230 |
0 |
1 |
10 |
513 |
| Statistical Significance, p-Values, and the Reporting of Uncertainty |
0 |
0 |
1 |
33 |
0 |
1 |
11 |
128 |
| Synthetic Difference-in-Differences |
8 |
19 |
72 |
411 |
14 |
47 |
189 |
1,049 |
| The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
0 |
2 |
9 |
56 |
1 |
5 |
17 |
1,285 |
| The State of Applied Econometrics: Causality and Policy Evaluation |
1 |
2 |
10 |
253 |
6 |
14 |
35 |
845 |
| Transition Models in a Non-stationary Environment |
0 |
0 |
0 |
37 |
0 |
0 |
1 |
238 |
| Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs |
6 |
12 |
34 |
102 |
18 |
38 |
159 |
504 |
| Total Journal Articles |
38 |
143 |
570 |
17,441 |
168 |
544 |
2,117 |
57,858 |
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