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A Causal Bootstrap |
0 |
0 |
1 |
54 |
0 |
0 |
2 |
72 |
A Design-Based Perspective on Synthetic Control Methods |
0 |
0 |
2 |
44 |
1 |
2 |
10 |
99 |
A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
0 |
0 |
2 |
333 |
A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
1 |
1 |
3 |
245 |
A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
10 |
563 |
AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
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0 |
0 |
0 |
0 |
1 |
2 |
641 |
AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
519 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
31 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
An Empirical Model for Strategic Network Formation |
1 |
1 |
1 |
50 |
1 |
1 |
6 |
190 |
An empirical model for strategic network formation |
0 |
0 |
0 |
79 |
0 |
1 |
1 |
152 |
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions |
0 |
0 |
0 |
37 |
0 |
0 |
2 |
155 |
Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
385 |
Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
336 |
Average Causal Response with Variable Treatment Intensity |
0 |
1 |
6 |
212 |
1 |
5 |
29 |
877 |
Average causal response with variable treatment intensity |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
86 |
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
4 |
5 |
13 |
327 |
17 |
29 |
84 |
1,054 |
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
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2 |
2 |
357 |
0 |
2 |
6 |
972 |
Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
1 |
421 |
0 |
1 |
8 |
2,242 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
350 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
494 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
1 |
6 |
0 |
0 |
2 |
44 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
2 |
Causal Models for Longitudinal and Panel Data: A Survey |
4 |
7 |
64 |
64 |
7 |
15 |
85 |
85 |
Causality in econometrics: methods in conversation with practice |
3 |
8 |
44 |
188 |
6 |
15 |
73 |
246 |
Clustering, Spatial Correlations and Randomization Inference |
0 |
0 |
1 |
79 |
0 |
0 |
2 |
229 |
Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes |
0 |
1 |
5 |
84 |
2 |
12 |
29 |
176 |
Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
801 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
0 |
0 |
3 |
6,832 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
274 |
0 |
2 |
7 |
1,332 |
Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
0 |
0 |
2 |
156 |
0 |
0 |
2 |
251 |
Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
228 |
Confidence intervals for partially identified parameters |
0 |
0 |
0 |
167 |
1 |
1 |
3 |
545 |
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models |
0 |
1 |
3 |
35 |
0 |
2 |
10 |
77 |
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
1 |
1 |
51 |
0 |
1 |
6 |
21 |
Dealing with Limited Overlap in Estimation of Average Treatment Effects |
1 |
1 |
4 |
172 |
3 |
4 |
15 |
638 |
Dealing with Limited Overlap in Estimation of Average Treatment Effects |
1 |
1 |
3 |
17 |
2 |
2 |
7 |
185 |
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
1 |
1 |
5 |
59 |
1 |
4 |
20 |
116 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
1 |
136 |
0 |
1 |
10 |
457 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
0 |
20 |
1 |
3 |
7 |
75 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
0 |
61 |
0 |
0 |
4 |
117 |
Discrete Choice Models with Multiple Unobserved Choice Characteristics |
0 |
0 |
0 |
300 |
0 |
0 |
0 |
601 |
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
0 |
0 |
10 |
11 |
1 |
1 |
22 |
24 |
Double-Robust Identification for Causal Panel Data Models |
0 |
0 |
1 |
25 |
0 |
1 |
6 |
84 |
Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
1 |
47 |
0 |
0 |
1 |
155 |
Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
0 |
1 |
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 |
1 |
2 |
1,477 |
Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1,330 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
1 |
902 |
0 |
0 |
7 |
2,425 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
2 |
9 |
546 |
2 |
6 |
33 |
1,284 |
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
1 |
3 |
12 |
394 |
3 |
7 |
38 |
843 |
Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
6 |
19 |
37 |
163 |
Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
0 |
1 |
1 |
22 |
Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
79 |
2 |
2 |
7 |
199 |
Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
2 |
21 |
0 |
0 |
6 |
66 |
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
1 |
66 |
0 |
0 |
2 |
92 |
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
0 |
3 |
14 |
78 |
1 |
18 |
61 |
234 |
Estimating average treatment effects in Stata |
0 |
0 |
3 |
2,474 |
0 |
1 |
19 |
5,633 |
Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
2 |
300 |
3 |
6 |
21 |
1,218 |
Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
0 |
1 |
20 |
0 |
1 |
12 |
103 |
Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
0 |
2 |
4 |
0 |
3 |
7 |
13 |
Estimation Considerations in Contextual Bandits |
0 |
0 |
0 |
32 |
0 |
1 |
8 |
115 |
Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
587 |
Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
0 |
1 |
3 |
863 |
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 |
504 |
Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
296 |
Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
0 |
0 |
2 |
23 |
Exact P-Values for Network Interference |
0 |
0 |
0 |
55 |
0 |
0 |
2 |
63 |
Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
0 |
1 |
5 |
109 |
External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
2 |
86 |
1 |
1 |
7 |
224 |
External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
1 |
34 |
0 |
0 |
2 |
112 |
Finite Population Causal Standard Errors |
0 |
1 |
3 |
144 |
0 |
1 |
9 |
314 |
Fixed Effects and the Generalized Mundlak Estimator |
0 |
1 |
3 |
42 |
0 |
4 |
15 |
106 |
Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
839 |
Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
1 |
422 |
0 |
0 |
7 |
1,965 |
Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
38 |
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 |
0 |
0 |
6 |
563 |
0 |
2 |
14 |
1,861 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
0 |
3 |
6 |
1,216 |
Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
0 |
1 |
239 |
0 |
1 |
3 |
770 |
Identification and Inference With Many Invalid Instruments |
0 |
0 |
0 |
13 |
0 |
0 |
4 |
92 |
Identification and Inference in Nonlinear Difference-In-Differences Models |
0 |
0 |
0 |
819 |
0 |
0 |
7 |
2,616 |
Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
1 |
2 |
98 |
0 |
2 |
9 |
351 |
Identification and Inference with Many Invalid Instruments |
0 |
0 |
1 |
93 |
0 |
1 |
4 |
272 |
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 |
1 |
5 |
1,420 |
1 |
6 |
17 |
2,834 |
Imposing Moment Restrictions from Auxiliary Data by Weighting |
0 |
0 |
1 |
167 |
0 |
0 |
6 |
896 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
140 |
0 |
0 |
1 |
738 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
383 |
Information Theoretic Approaches to Inference in Movement Condition Models |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
337 |
Information theoretic approaches to inference in moment condition model |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
353 |
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
795 |
Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
0 |
1 |
4 |
1,929 |
Instrumental Variables: An Econometrician's Perspective |
0 |
1 |
1 |
67 |
0 |
1 |
5 |
175 |
Instrumental Variables: An Econometrician's Perspective |
0 |
1 |
3 |
312 |
1 |
2 |
11 |
378 |
Jackknife Instrumental Variables Estimation |
0 |
1 |
4 |
532 |
0 |
1 |
7 |
2,541 |
Machine Learning Methods Economists Should Know About |
1 |
3 |
15 |
876 |
12 |
21 |
68 |
817 |
Machine Learning Methods Economists Should Know About |
1 |
2 |
7 |
153 |
3 |
8 |
24 |
261 |
Machine Learning for Estimating Heterogeneous Causal Effects |
1 |
2 |
12 |
941 |
3 |
6 |
44 |
2,242 |
Matching Methods in Practice: Three Examples |
0 |
0 |
1 |
196 |
1 |
3 |
9 |
281 |
Matching Methods in Practice: Three Examples |
2 |
2 |
4 |
259 |
5 |
6 |
23 |
547 |
Matching methods for estimating treatment effects using Stata |
1 |
2 |
7 |
909 |
2 |
5 |
20 |
1,679 |
Matching on the Estimated Propensity Score |
0 |
0 |
1 |
554 |
0 |
2 |
11 |
1,337 |
Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
1 |
37 |
1 |
2 |
12 |
184 |
Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
3 |
127 |
3 |
5 |
16 |
430 |
Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
0 |
0 |
3 |
3,041 |
Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
1 |
1 |
4 |
685 |
Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
0 |
99 |
1 |
1 |
2 |
290 |
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
86 |
0 |
0 |
1 |
301 |
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
23 |
0 |
0 |
3 |
206 |
Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
134 |
1 |
4 |
16 |
484 |
Multiple Randomization Designs |
0 |
0 |
2 |
63 |
2 |
3 |
18 |
82 |
Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
2 |
292 |
0 |
1 |
3 |
1,266 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
0 |
0 |
0 |
745 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
32 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
812 |
Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review |
0 |
2 |
3 |
571 |
1 |
3 |
9 |
1,250 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
114 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
0 |
0 |
0 |
620 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
0 |
0 |
1 |
281 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
0 |
0 |
0 |
215 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
0 |
0 |
3 |
1,316 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
0 |
0 |
2 |
196 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
0 |
100 |
0 |
0 |
5 |
365 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
2 |
134 |
1 |
1 |
10 |
508 |
Optimal Experimental Design for Staggered Rollouts |
0 |
1 |
1 |
39 |
1 |
4 |
11 |
121 |
Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
1 |
5 |
14 |
265 |
Optimal bandwidth choice for the regression discontinuity estimator |
0 |
0 |
1 |
290 |
0 |
1 |
10 |
916 |
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
1 |
8 |
59 |
1 |
2 |
21 |
197 |
Predicting the Efficacy of Future Training Programs Using Past Experiences |
0 |
0 |
4 |
127 |
0 |
0 |
4 |
837 |
Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments |
0 |
1 |
1 |
43 |
0 |
1 |
4 |
54 |
Raking and Regression |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
399 |
Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
0 |
1 |
2 |
425 |
Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
67 |
0 |
0 |
3 |
304 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
3 |
362 |
1 |
3 |
9 |
811 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
4 |
180 |
0 |
1 |
13 |
555 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
2 |
883 |
1 |
4 |
16 |
2,122 |
Recent developments in the econometrics of program evaluation |
0 |
0 |
0 |
332 |
1 |
1 |
11 |
861 |
Recursive Partitioning for Heterogeneous Causal Effects |
0 |
0 |
2 |
65 |
1 |
8 |
23 |
256 |
Redefine Statistical Significance |
0 |
0 |
2 |
1,187 |
1 |
2 |
11 |
1,863 |
Regression Discontinuity Designs: A Guide to Practice |
0 |
3 |
6 |
1,240 |
1 |
6 |
24 |
3,192 |
Regression Discontinuity Designs: A Guide to Practice |
1 |
1 |
3 |
1,050 |
3 |
4 |
15 |
2,572 |
Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
0 |
0 |
2 |
202 |
Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
0 |
2 |
139 |
0 |
0 |
5 |
228 |
Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
45 |
Sampling-based vs. Design-based Uncertainty in Regression Analysis |
1 |
2 |
4 |
71 |
1 |
3 |
9 |
197 |
Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
0 |
2 |
7 |
245 |
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
0 |
0 |
2 |
31 |
0 |
1 |
16 |
74 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
0 |
0 |
3 |
12 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
1 |
35 |
0 |
0 |
1 |
28 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
1 |
1 |
1 |
18 |
1 |
1 |
2 |
56 |
Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
0 |
5 |
1,412 |
2 |
3 |
25 |
3,704 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
617 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
503 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
2 |
312 |
0 |
0 |
9 |
1,259 |
Sources of identifying information in evaluation models |
0 |
0 |
3 |
17 |
1 |
1 |
6 |
70 |
Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
0 |
0 |
9 |
36 |
Standards for Regression Discontinuity Designs |
0 |
0 |
1 |
78 |
2 |
3 |
12 |
276 |
Synthetic Difference In Differences |
2 |
3 |
13 |
149 |
3 |
5 |
27 |
430 |
Synthetic Difference in Differences |
1 |
3 |
18 |
160 |
9 |
31 |
96 |
762 |
The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
248 |
The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
1 |
2 |
0 |
0 |
2 |
22 |
The Econometrics of Randomized Experiments |
0 |
7 |
22 |
236 |
7 |
28 |
102 |
630 |
The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
38 |
The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
96 |
0 |
1 |
3 |
804 |
The Regression Discontinuity Design — Theory and Applications |
0 |
0 |
0 |
42 |
1 |
1 |
5 |
138 |
The Role of the Propensity Score in Estimating Dose-Response Functions |
1 |
3 |
13 |
874 |
3 |
8 |
30 |
2,534 |
The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
1 |
19 |
0 |
0 |
4 |
69 |
The Role of the Propensity Score in Fixed Effect Models |
1 |
2 |
2 |
45 |
2 |
5 |
16 |
257 |
The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
0 |
1 |
147 |
1 |
1 |
3 |
230 |
The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
1 |
3 |
12 |
81 |
6 |
18 |
106 |
330 |
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
2 |
62 |
0 |
4 |
7 |
99 |
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
23 |
1 |
1 |
7 |
72 |
When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
9 |
104 |
1 |
8 |
40 |
258 |
When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
3 |
220 |
8 |
9 |
42 |
1,402 |
When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
0 |
92 |
0 |
0 |
9 |
184 |
Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
2 |
3 |
7 |
297 |
2 |
4 |
16 |
737 |
Why ask Why? Forward Causal Inference and Reverse Causal Questions |
0 |
3 |
8 |
134 |
0 |
8 |
35 |
370 |
Total Working Papers |
36 |
98 |
486 |
33,335 |
166 |
469 |
2,090 |
116,529 |
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 |
0 |
2 |
227 |
A Measure of Robustness to Misspecification |
0 |
0 |
6 |
60 |
0 |
1 |
8 |
250 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
311 |
0 |
0 |
5 |
1,151 |
Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
2 |
3 |
29 |
0 |
3 |
17 |
179 |
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
0 |
4 |
433 |
0 |
0 |
10 |
1,458 |
Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
791 |
Bias-Corrected Matching Estimators for Average Treatment Effects |
1 |
2 |
11 |
60 |
2 |
7 |
49 |
358 |
Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
0 |
2 |
232 |
0 |
1 |
18 |
666 |
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 |
1 |
43 |
0 |
0 |
2 |
177 |
Case-control studies with contaminated controls |
0 |
0 |
2 |
101 |
0 |
1 |
9 |
268 |
Choosing instrumental variables in conditional moment restriction models |
0 |
0 |
0 |
88 |
0 |
0 |
0 |
266 |
Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
0 |
0 |
3 |
190 |
Combining Micro and Macro Data in Microeconometric Models |
1 |
1 |
4 |
292 |
2 |
4 |
12 |
765 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
1 |
1 |
5 |
439 |
Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
1 |
2 |
39 |
0 |
1 |
4 |
204 |
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
0 |
18 |
1 |
1 |
3 |
53 |
Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
1 |
16 |
0 |
0 |
1 |
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 |
1 |
2 |
203 |
DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
0 |
0 |
5 |
208 |
Dealing with limited overlap in estimation of average treatment effects |
2 |
3 |
4 |
98 |
2 |
5 |
18 |
364 |
Design-based analysis in Difference-In-Differences settings with staggered adoption |
6 |
8 |
29 |
92 |
14 |
35 |
134 |
400 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
3 |
7 |
39 |
1,747 |
Efficient estimation and stratified sampling |
0 |
0 |
1 |
225 |
0 |
1 |
5 |
670 |
Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
0 |
226 |
0 |
0 |
1 |
476 |
Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
3 |
26 |
1 |
1 |
8 |
97 |
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
1 |
3 |
40 |
0 |
1 |
7 |
187 |
Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
0 |
0 |
2 |
179 |
0 |
2 |
12 |
482 |
Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
3 |
4 |
14 |
441 |
5 |
8 |
36 |
1,620 |
Estimation of the Conditional Variance in Paired Experiments |
0 |
0 |
0 |
11 |
0 |
0 |
2 |
64 |
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 |
0 |
4 |
12 |
1,008 |
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
0 |
0 |
1 |
108 |
0 |
1 |
4 |
419 |
Exact p-Values for Network Interference |
0 |
0 |
0 |
9 |
1 |
1 |
3 |
44 |
External Validity in Fuzzy Regression Discontinuity Designs |
1 |
1 |
9 |
39 |
4 |
7 |
43 |
151 |
Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
2 |
2 |
8 |
701 |
Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
1 |
1 |
2 |
4 |
1 |
1 |
2 |
17 |
Identification and Estimation of Local Average Treatment Effects |
1 |
3 |
11 |
1,358 |
3 |
16 |
73 |
3,885 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
149 |
0 |
0 |
4 |
387 |
Identification and Inference With Many Invalid Instruments |
0 |
0 |
0 |
30 |
2 |
6 |
12 |
185 |
Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
1 |
4 |
459 |
0 |
8 |
47 |
1,247 |
Implementing matching estimators for average treatment effects in Stata |
1 |
1 |
11 |
1,306 |
3 |
10 |
49 |
2,896 |
Imposing Moment Restrictions From Auxiliary Data By Weighting |
1 |
4 |
16 |
153 |
2 |
7 |
36 |
547 |
Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
2 |
10 |
0 |
0 |
9 |
70 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
375 |
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
3 |
3 |
9 |
1,071 |
Instrumental variable estimation of nonseparable models |
0 |
0 |
1 |
173 |
0 |
0 |
3 |
355 |
Jackknife Instrumental Variables Estimation |
0 |
1 |
7 |
347 |
1 |
4 |
19 |
1,412 |
Large Sample Properties of Matching Estimators for Average Treatment Effects |
0 |
3 |
17 |
499 |
6 |
16 |
85 |
1,580 |
Machine Learning Methods That Economists Should Know About |
10 |
22 |
77 |
249 |
16 |
45 |
188 |
609 |
Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
0 |
2 |
122 |
0 |
0 |
2 |
254 |
Matching Methods in Practice: Three Examples |
1 |
3 |
21 |
368 |
3 |
8 |
62 |
1,001 |
Matching on the Estimated Propensity Score |
0 |
1 |
4 |
77 |
1 |
3 |
13 |
381 |
Matrix Completion Methods for Causal Panel Data Models |
1 |
1 |
4 |
20 |
1 |
1 |
12 |
51 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
464 |
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
1 |
3 |
15 |
705 |
1 |
10 |
54 |
1,764 |
Nonparametric Tests for Treatment Effect Heterogeneity |
1 |
1 |
2 |
191 |
2 |
2 |
11 |
550 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
1 |
3 |
254 |
0 |
2 |
9 |
857 |
One-Step Estimators for Over-Identified Generalized Method of Moments Models |
1 |
2 |
2 |
150 |
1 |
2 |
6 |
443 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
1 |
12 |
777 |
4 |
9 |
56 |
2,612 |
Optimal stock/flow panels |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
86 |
Optimized Regression Discontinuity Designs |
0 |
3 |
23 |
128 |
2 |
6 |
41 |
392 |
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
1 |
3 |
8 |
81 |
3 |
10 |
30 |
238 |
Predicting the efficacy of future training programs using past experiences at other locations |
1 |
1 |
2 |
113 |
1 |
4 |
10 |
374 |
Propensity score matching and subclassification in observational studies with multi‐level treatments |
1 |
2 |
3 |
9 |
2 |
3 |
6 |
49 |
Random Effects Estimators with many Instrumental Variables |
0 |
0 |
0 |
156 |
0 |
0 |
0 |
590 |
Re-employment probabilities over the business cycle |
0 |
0 |
3 |
44 |
0 |
0 |
8 |
250 |
Recent Developments in the Econometrics of Program Evaluation |
2 |
8 |
24 |
882 |
5 |
19 |
67 |
2,468 |
Redefine statistical significance |
1 |
4 |
4 |
10 |
9 |
26 |
42 |
77 |
Regression discontinuity designs: A guide to practice |
3 |
6 |
25 |
1,872 |
10 |
20 |
124 |
5,111 |
Rejoinder |
0 |
0 |
0 |
19 |
0 |
0 |
1 |
52 |
Robust Standard Errors in Small Samples: Some Practical Advice |
2 |
2 |
4 |
93 |
4 |
5 |
27 |
416 |
Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
0 |
0 |
0 |
35 |
2 |
4 |
4 |
171 |
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
2 |
39 |
1 |
2 |
7 |
174 |
Sensitivity to Exogeneity Assumptions in Program Evaluation |
1 |
1 |
4 |
206 |
1 |
2 |
9 |
495 |
Social Networks and the Identification of Peer Effects |
0 |
1 |
7 |
115 |
1 |
2 |
12 |
257 |
Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
1 |
230 |
2 |
4 |
9 |
511 |
Statistical Significance, p-Values, and the Reporting of Uncertainty |
0 |
0 |
0 |
32 |
0 |
2 |
16 |
125 |
Synthetic Difference-in-Differences |
6 |
14 |
77 |
369 |
19 |
45 |
232 |
953 |
The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
3 |
4 |
5 |
51 |
3 |
4 |
16 |
1,277 |
The State of Applied Econometrics: Causality and Policy Evaluation |
0 |
0 |
7 |
247 |
2 |
6 |
30 |
822 |
Transition Models in a Non-stationary Environment |
0 |
0 |
0 |
37 |
1 |
1 |
1 |
238 |
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs |
4 |
10 |
32 |
87 |
14 |
38 |
158 |
429 |
Total Journal Articles |
58 |
131 |
547 |
17,149 |
170 |
453 |
2,103 |
56,748 |