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A Causal Bootstrap |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
72 |
A Design-Based Perspective on Synthetic Control Methods |
0 |
0 |
1 |
45 |
0 |
2 |
10 |
107 |
A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
0 |
0 |
1 |
333 |
A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
0 |
0 |
3 |
247 |
A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
566 |
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 |
0 |
2 |
521 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
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0 |
1 |
1 |
0 |
0 |
1 |
2 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
4 |
1 |
2 |
3 |
34 |
An Empirical Model for Strategic Network Formation |
0 |
0 |
2 |
51 |
0 |
0 |
6 |
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 |
0 |
4 |
158 |
Average Causal Response with Variable Treatment Intensity |
1 |
1 |
6 |
216 |
2 |
6 |
27 |
895 |
Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
388 |
Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
0 |
3 |
8 |
343 |
Average causal response with variable treatment intensity |
0 |
0 |
0 |
5 |
0 |
1 |
3 |
89 |
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
3 |
6 |
16 |
337 |
5 |
23 |
102 |
1,119 |
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
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0 |
3 |
358 |
0 |
3 |
9 |
979 |
Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
1 |
422 |
0 |
2 |
6 |
2,246 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
4 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
6 |
0 |
1 |
1 |
45 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
496 |
Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
352 |
Causal Models for Longitudinal and Panel Data: A Survey |
0 |
0 |
12 |
68 |
1 |
2 |
32 |
99 |
Causality in econometrics: methods in conversation with practice |
0 |
1 |
12 |
190 |
1 |
3 |
28 |
253 |
Clustering, Spatial Correlations and Randomization Inference |
1 |
1 |
1 |
80 |
1 |
1 |
2 |
231 |
Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
805 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
274 |
0 |
1 |
4 |
1,334 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
0 |
0 |
1 |
6,833 |
Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
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2 |
4 |
160 |
2 |
4 |
7 |
258 |
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 |
1 |
35 |
0 |
1 |
6 |
81 |
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
0 |
1 |
51 |
2 |
5 |
13 |
32 |
Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
2 |
3 |
19 |
0 |
3 |
6 |
189 |
Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
1 |
172 |
2 |
4 |
12 |
646 |
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
0 |
0 |
3 |
60 |
0 |
1 |
15 |
124 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
2 |
3 |
139 |
5 |
8 |
20 |
474 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
1 |
2 |
22 |
1 |
2 |
11 |
82 |
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
1 |
2 |
2 |
63 |
1 |
4 |
10 |
124 |
Discrete Choice Models with Multiple Unobserved Choice Characteristics |
0 |
0 |
1 |
301 |
0 |
1 |
3 |
604 |
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
2 |
4 |
6 |
16 |
2 |
5 |
9 |
31 |
Double-Robust Identification for Causal Panel Data Models |
0 |
1 |
1 |
26 |
0 |
3 |
7 |
90 |
Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
47 |
0 |
0 |
2 |
157 |
Duration models with time-varying coefficients |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
17 |
Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
EFFICIENT ESTIMATION AND STRATIFIED SAMPLING |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1,477 |
Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1,331 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
1 |
11 |
553 |
2 |
8 |
36 |
1,311 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
1 |
1 |
903 |
1 |
3 |
6 |
2,431 |
Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
1 |
1 |
5 |
396 |
1 |
1 |
24 |
855 |
Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
1 |
1 |
31 |
164 |
Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
22 |
Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
6 |
Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
80 |
0 |
1 |
6 |
203 |
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 |
1 |
1 |
2 |
67 |
1 |
1 |
3 |
94 |
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
0 |
0 |
12 |
84 |
5 |
12 |
59 |
264 |
Estimating average treatment effects in Stata |
0 |
2 |
6 |
2,480 |
1 |
5 |
17 |
5,646 |
Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
1 |
301 |
2 |
5 |
18 |
1,230 |
Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
0 |
1 |
5 |
0 |
0 |
6 |
16 |
Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
1 |
2 |
21 |
0 |
1 |
3 |
104 |
Estimation Considerations in Contextual Bandits |
0 |
0 |
0 |
32 |
1 |
6 |
13 |
126 |
Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
0 |
1 |
9 |
870 |
Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
1 |
2 |
7 |
594 |
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program |
0 |
0 |
0 |
105 |
0 |
1 |
2 |
506 |
Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
297 |
Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
24 |
Exact P-Values for Network Interference |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
64 |
Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
0 |
0 |
3 |
111 |
External Validity in Fuzzy Regression Discontinuity Designs |
0 |
1 |
3 |
37 |
0 |
1 |
6 |
118 |
External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
0 |
86 |
0 |
0 |
6 |
229 |
Finite Population Causal Standard Errors |
0 |
0 |
1 |
144 |
0 |
1 |
7 |
318 |
Fixed Effects and the Generalized Mundlak Estimator |
0 |
0 |
1 |
42 |
0 |
0 |
6 |
108 |
Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
422 |
0 |
1 |
4 |
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 |
0 |
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 |
3 |
7 |
570 |
3 |
13 |
38 |
1,897 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
0 |
0 |
4 |
1,217 |
Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
0 |
3 |
242 |
0 |
1 |
8 |
777 |
Identification and Inference With Many Invalid Instruments |
0 |
0 |
1 |
14 |
0 |
0 |
8 |
100 |
Identification and Inference in Nonlinear Difference-In-Differences Models |
1 |
1 |
1 |
820 |
3 |
4 |
15 |
2,630 |
Identification and Inference in Nonlinear Difference-in-Differences Models |
1 |
1 |
5 |
101 |
2 |
2 |
8 |
356 |
Identification and Inference with Many Invalid Instruments |
0 |
0 |
0 |
93 |
0 |
0 |
3 |
274 |
Identification and efficiency bounds for the average match function under conditionally exogenous matching |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
25 |
Identification of Causal Effects Using Instrumental Variables |
0 |
1 |
7 |
1,426 |
1 |
4 |
21 |
2,848 |
Imposing Moment Restrictions from Auxiliary Data by Weighting |
1 |
1 |
1 |
168 |
1 |
1 |
4 |
900 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
384 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
1 |
141 |
0 |
0 |
1 |
739 |
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 |
1 |
1 |
5 |
799 |
Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
0 |
0 |
4 |
1,931 |
Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
1 |
312 |
0 |
1 |
3 |
379 |
Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
2 |
68 |
1 |
4 |
7 |
181 |
Jackknife Instrumental Variables Estimation |
0 |
0 |
3 |
533 |
0 |
1 |
7 |
2,546 |
Machine Learning Methods Economists Should Know About |
1 |
1 |
8 |
157 |
1 |
1 |
23 |
268 |
Machine Learning Methods Economists Should Know About |
1 |
5 |
17 |
887 |
3 |
12 |
67 |
849 |
Machine Learning for Estimating Heterogeneous Causal Effects |
1 |
2 |
9 |
947 |
3 |
8 |
43 |
2,276 |
Matching Methods in Practice: Three Examples |
0 |
0 |
0 |
196 |
0 |
0 |
6 |
283 |
Matching Methods in Practice: Three Examples |
0 |
0 |
3 |
260 |
0 |
3 |
18 |
557 |
Matching methods for estimating treatment effects using Stata |
0 |
0 |
6 |
912 |
2 |
3 |
16 |
1,687 |
Matching on the Estimated Propensity Score |
0 |
1 |
2 |
556 |
2 |
4 |
14 |
1,346 |
Matrix Completion Methods for Causal Panel Data Models |
1 |
1 |
2 |
129 |
2 |
5 |
16 |
441 |
Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
0 |
37 |
0 |
2 |
8 |
189 |
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 |
0 |
4 |
688 |
Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
1 |
100 |
0 |
0 |
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 |
0 |
4 |
209 |
Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
135 |
0 |
1 |
11 |
490 |
Multiple Randomization Designs |
0 |
1 |
3 |
66 |
1 |
3 |
14 |
92 |
Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
0 |
292 |
1 |
2 |
3 |
1,268 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
814 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
0 |
0 |
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 |
1 |
1 |
4 |
573 |
2 |
3 |
15 |
1,261 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
216 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
0 |
0 |
0 |
620 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
12 |
1 |
1 |
2 |
116 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
0 |
0 |
13 |
294 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
0 |
1 |
1 |
197 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
0 |
1 |
2 |
1,318 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
0 |
100 |
1 |
1 |
6 |
371 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
1 |
2 |
135 |
0 |
1 |
12 |
518 |
Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
3 |
3 |
14 |
273 |
Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
1 |
39 |
0 |
0 |
9 |
125 |
Optimal bandwidth choice for the regression discontinuity estimator |
0 |
0 |
1 |
291 |
2 |
4 |
13 |
928 |
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
2 |
60 |
1 |
2 |
9 |
203 |
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 |
0 |
2 |
9 |
61 |
Raking and Regression |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
400 |
Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
425 |
Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
304 |
Recent Developments in the Econometrics of Program Evaluation |
1 |
2 |
7 |
187 |
1 |
3 |
20 |
574 |
Recent Developments in the Econometrics of Program Evaluation |
2 |
2 |
3 |
886 |
3 |
5 |
21 |
2,138 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
3 |
364 |
3 |
6 |
17 |
824 |
Recent developments in the econometrics of program evaluation |
0 |
1 |
1 |
333 |
0 |
2 |
6 |
865 |
Recursive Partitioning for Heterogeneous Causal Effects |
0 |
1 |
3 |
67 |
1 |
3 |
21 |
267 |
Redefine Statistical Significance |
0 |
0 |
2 |
1,189 |
1 |
4 |
12 |
1,872 |
Regression Discontinuity Designs: A Guide to Practice |
0 |
1 |
5 |
1,054 |
2 |
5 |
20 |
2,586 |
Regression Discontinuity Designs: A Guide to Practice |
1 |
1 |
4 |
1,241 |
3 |
6 |
14 |
3,200 |
Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
1 |
2 |
4 |
206 |
Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
0 |
0 |
139 |
0 |
1 |
2 |
230 |
Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
0 |
2 |
5 |
49 |
Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
2 |
71 |
2 |
4 |
7 |
201 |
Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
247 |
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
0 |
0 |
1 |
32 |
0 |
0 |
6 |
79 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
1 |
18 |
0 |
1 |
5 |
59 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
1 |
36 |
1 |
2 |
5 |
33 |
Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
0 |
0 |
4 |
15 |
Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
6 |
1,416 |
3 |
10 |
25 |
3,723 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
505 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
3 |
315 |
3 |
5 |
11 |
1,269 |
Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
618 |
Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
36 |
Sources of identifying information in evaluation models |
0 |
0 |
0 |
17 |
0 |
1 |
4 |
73 |
Standards for Regression Discontinuity Designs |
0 |
0 |
2 |
80 |
0 |
1 |
11 |
282 |
Synthetic Difference In Differences |
0 |
0 |
8 |
153 |
0 |
3 |
27 |
450 |
Synthetic Difference in Differences |
2 |
5 |
16 |
171 |
4 |
20 |
80 |
798 |
The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
1 |
59 |
0 |
0 |
1 |
249 |
The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
2 |
1 |
1 |
3 |
25 |
The Econometrics of Randomized Experiments |
2 |
2 |
19 |
246 |
5 |
7 |
63 |
660 |
The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates |
2 |
3 |
3 |
3 |
4 |
9 |
9 |
9 |
The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
0 |
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 |
0 |
1 |
4 |
141 |
The Role of the Propensity Score in Estimating Dose-Response Functions |
1 |
3 |
16 |
885 |
3 |
7 |
36 |
2,559 |
The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
1 |
20 |
0 |
1 |
3 |
72 |
The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
2 |
45 |
0 |
2 |
19 |
268 |
The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
0 |
0 |
147 |
0 |
2 |
5 |
234 |
The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
3 |
4 |
12 |
89 |
4 |
13 |
76 |
377 |
Using Experiments to Correct for Selection in Observational Studies |
0 |
1 |
6 |
88 |
2 |
8 |
37 |
199 |
Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation |
1 |
1 |
1 |
1 |
1 |
4 |
4 |
4 |
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
62 |
0 |
0 |
7 |
102 |
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
23 |
0 |
0 |
4 |
74 |
When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
2 |
221 |
1 |
6 |
20 |
1,413 |
When Should You Adjust Standard Errors for Clustering? |
1 |
2 |
4 |
107 |
3 |
8 |
25 |
271 |
When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
2 |
94 |
1 |
3 |
5 |
189 |
Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
0 |
5 |
9 |
303 |
4 |
12 |
19 |
751 |
Why ask Why? Forward Causal Inference and Reverse Causal Questions |
1 |
1 |
6 |
137 |
3 |
5 |
22 |
382 |
Total Working Papers |
36 |
89 |
381 |
33,582 |
142 |
422 |
1,893 |
117,759 |
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 |
3 |
230 |
A Measure of Robustness to Misspecification |
0 |
0 |
1 |
61 |
1 |
2 |
9 |
258 |
An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
2 |
313 |
0 |
1 |
4 |
1,155 |
Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
0 |
3 |
29 |
1 |
2 |
11 |
184 |
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
1 |
5 |
438 |
1 |
2 |
12 |
1,470 |
Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
794 |
Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
8 |
64 |
4 |
8 |
32 |
381 |
Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
0 |
2 |
234 |
0 |
2 |
11 |
675 |
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 |
0 |
101 |
0 |
0 |
6 |
273 |
Choosing instrumental variables in conditional moment restriction models |
0 |
0 |
0 |
88 |
0 |
0 |
2 |
268 |
Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
191 |
Combining Micro and Macro Data in Microeconometric Models |
1 |
2 |
11 |
302 |
3 |
8 |
25 |
786 |
Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
0 |
1 |
4 |
442 |
Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
0 |
1 |
39 |
1 |
1 |
7 |
209 |
Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
1 |
19 |
0 |
0 |
3 |
55 |
Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
0 |
16 |
4 |
4 |
4 |
121 |
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 |
204 |
DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
0 |
0 |
2 |
209 |
Dealing with limited overlap in estimation of average treatment effects |
0 |
2 |
10 |
105 |
1 |
8 |
28 |
387 |
Design-based analysis in Difference-In-Differences settings with staggered adoption |
2 |
9 |
36 |
117 |
5 |
32 |
137 |
489 |
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
0 |
8 |
37 |
1,775 |
Efficient estimation and stratified sampling |
0 |
0 |
1 |
226 |
0 |
3 |
5 |
674 |
Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
1 |
227 |
0 |
1 |
4 |
479 |
Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
26 |
0 |
0 |
2 |
97 |
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
1 |
1 |
3 |
42 |
3 |
3 |
10 |
196 |
Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
0 |
0 |
1 |
180 |
0 |
2 |
7 |
487 |
Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
2 |
13 |
448 |
2 |
9 |
44 |
1,652 |
Estimation of the Conditional Variance in Paired Experiments |
0 |
0 |
0 |
11 |
3 |
4 |
7 |
70 |
Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
572 |
Evaluating the Cost of Conscription in The Netherlands |
0 |
0 |
0 |
0 |
3 |
10 |
30 |
1,033 |
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
1 |
1 |
1 |
109 |
1 |
1 |
6 |
423 |
Exact p-Values for Network Interference |
0 |
0 |
1 |
10 |
0 |
0 |
5 |
48 |
External Validity in Fuzzy Regression Discontinuity Designs |
0 |
2 |
6 |
43 |
2 |
7 |
26 |
167 |
Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
1 |
2 |
7 |
705 |
Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
0 |
0 |
1 |
4 |
0 |
0 |
4 |
20 |
Identification and Estimation of Local Average Treatment Effects |
2 |
11 |
23 |
1,378 |
11 |
52 |
118 |
3,984 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
3 |
152 |
0 |
0 |
9 |
396 |
Identification and Inference With Many Invalid Instruments |
1 |
1 |
2 |
32 |
1 |
1 |
14 |
192 |
Identification and Inference in Nonlinear Difference-in-Differences Models |
1 |
2 |
6 |
463 |
2 |
6 |
29 |
1,264 |
Implementing matching estimators for average treatment effects in Stata |
0 |
2 |
6 |
1,311 |
2 |
9 |
39 |
2,920 |
Imposing Moment Restrictions From Auxiliary Data By Weighting |
0 |
0 |
10 |
158 |
2 |
6 |
30 |
568 |
Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
70 |
Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
377 |
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
0 |
2 |
14 |
1,082 |
Instrumental variable estimation of nonseparable models |
0 |
0 |
0 |
173 |
0 |
0 |
0 |
355 |
Jackknife Instrumental Variables Estimation |
1 |
2 |
6 |
352 |
3 |
6 |
17 |
1,425 |
Large Sample Properties of Matching Estimators for Average Treatment Effects |
1 |
1 |
15 |
509 |
6 |
14 |
69 |
1,620 |
Machine Learning Methods That Economists Should Know About |
5 |
19 |
72 |
291 |
15 |
50 |
206 |
728 |
Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
0 |
0 |
122 |
0 |
1 |
1 |
255 |
Matching Methods in Practice: Three Examples |
2 |
3 |
10 |
375 |
4 |
13 |
50 |
1,038 |
Matching on the Estimated Propensity Score |
0 |
0 |
3 |
78 |
0 |
5 |
21 |
398 |
Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
2 |
21 |
3 |
4 |
14 |
63 |
Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
0 |
1 |
8 |
472 |
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
1 |
3 |
20 |
720 |
9 |
16 |
69 |
1,819 |
Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
2 |
192 |
0 |
2 |
12 |
558 |
On the Failure of the Bootstrap for Matching Estimators |
0 |
1 |
3 |
256 |
0 |
2 |
10 |
864 |
One-Step Estimators for Over-Identified Generalized Method of Moments Models |
0 |
1 |
4 |
152 |
0 |
1 |
7 |
448 |
Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
3 |
6 |
12 |
788 |
12 |
27 |
64 |
2,663 |
Optimal stock/flow panels |
1 |
1 |
1 |
15 |
1 |
1 |
1 |
87 |
Optimized Regression Discontinuity Designs |
2 |
3 |
11 |
134 |
3 |
7 |
22 |
406 |
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
1 |
6 |
84 |
2 |
4 |
21 |
249 |
Predicting the efficacy of future training programs using past experiences at other locations |
0 |
1 |
3 |
114 |
1 |
2 |
9 |
378 |
Propensity score matching and subclassification in observational studies with multi‐level treatments |
0 |
0 |
3 |
9 |
0 |
1 |
7 |
52 |
Random Effects Estimators with many Instrumental Variables |
0 |
0 |
0 |
156 |
0 |
0 |
3 |
593 |
Re-employment probabilities over the business cycle |
0 |
0 |
2 |
45 |
0 |
0 |
3 |
252 |
Recent Developments in the Econometrics of Program Evaluation |
1 |
3 |
28 |
901 |
4 |
13 |
79 |
2,526 |
Redefine statistical significance |
1 |
2 |
18 |
24 |
5 |
10 |
75 |
116 |
Regression discontinuity designs: A guide to practice |
3 |
4 |
30 |
1,894 |
6 |
19 |
98 |
5,183 |
Rejoinder |
0 |
0 |
0 |
19 |
0 |
0 |
2 |
54 |
Robust Standard Errors in Small Samples: Some Practical Advice |
1 |
2 |
8 |
98 |
2 |
6 |
22 |
431 |
Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
0 |
0 |
1 |
36 |
0 |
1 |
6 |
173 |
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
1 |
2 |
2 |
41 |
1 |
4 |
11 |
183 |
Sensitivity to Exogeneity Assumptions in Program Evaluation |
1 |
1 |
4 |
209 |
1 |
1 |
10 |
503 |
Social Networks and the Identification of Peer Effects |
0 |
2 |
8 |
121 |
2 |
6 |
19 |
273 |
Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
1 |
230 |
0 |
0 |
9 |
513 |
Statistical Significance, p-Values, and the Reporting of Uncertainty |
0 |
0 |
1 |
33 |
1 |
1 |
7 |
129 |
Synthetic Difference-in-Differences |
4 |
20 |
73 |
423 |
13 |
41 |
180 |
1,076 |
The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
1 |
3 |
12 |
59 |
1 |
5 |
18 |
1,289 |
The State of Applied Econometrics: Causality and Policy Evaluation |
0 |
2 |
8 |
254 |
7 |
18 |
43 |
857 |
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 |
2 |
10 |
35 |
106 |
16 |
47 |
158 |
533 |
Total Journal Articles |
40 |
130 |
563 |
17,533 |
172 |
529 |
2,112 |
58,219 |