| 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 |
0 |
1 |
2 |
74 |
| A Design-Based Perspective on Synthetic Control Methods |
0 |
0 |
1 |
45 |
0 |
2 |
10 |
111 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
2 |
3 |
6 |
251 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
1 |
6 |
7 |
340 |
| A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
568 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
2 |
3 |
4 |
645 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
5 |
7 |
11 |
530 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
4 |
0 |
1 |
4 |
35 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
1 |
1 |
2 |
4 |
5 |
6 |
| An Empirical Model for Strategic Network Formation |
0 |
0 |
0 |
51 |
2 |
5 |
11 |
202 |
| An empirical model for strategic network formation |
0 |
0 |
0 |
79 |
1 |
3 |
5 |
157 |
| Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions |
0 |
1 |
1 |
38 |
4 |
12 |
15 |
171 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
3 |
217 |
1 |
6 |
24 |
907 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
4 |
6 |
9 |
395 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
3 |
5 |
13 |
349 |
| Average causal response with variable treatment intensity |
0 |
0 |
1 |
6 |
1 |
4 |
9 |
96 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
0 |
3 |
15 |
343 |
17 |
31 |
113 |
1,179 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
1 |
1 |
359 |
3 |
9 |
15 |
990 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
1 |
422 |
14 |
17 |
21 |
2,264 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
6 |
1 |
3 |
4 |
48 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
3 |
9 |
10 |
505 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
1 |
1 |
2 |
5 |
8 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
4 |
4 |
4 |
356 |
| Causal Models for Longitudinal and Panel Data: A Survey |
0 |
2 |
5 |
70 |
4 |
6 |
18 |
106 |
| Causality in econometrics: methods in conversation with practice |
1 |
2 |
5 |
193 |
4 |
6 |
14 |
261 |
| Clustering, Spatial Correlations and Randomization Inference |
0 |
0 |
1 |
80 |
3 |
3 |
6 |
236 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
8 |
8 |
12 |
813 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
2 |
4 |
5 |
6,837 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
1 |
275 |
0 |
1 |
4 |
1,336 |
| Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
0 |
0 |
3 |
160 |
2 |
4 |
9 |
262 |
| Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis |
0 |
0 |
0 |
43 |
2 |
2 |
5 |
233 |
| Confidence intervals for partially identified parameters |
1 |
1 |
1 |
168 |
2 |
3 |
5 |
550 |
| Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models |
0 |
0 |
0 |
35 |
2 |
3 |
8 |
86 |
| Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
0 |
1 |
52 |
2 |
4 |
18 |
40 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
2 |
19 |
3 |
9 |
15 |
200 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
0 |
172 |
2 |
5 |
16 |
655 |
| Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
1 |
1 |
4 |
63 |
3 |
10 |
17 |
136 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
1 |
22 |
4 |
8 |
15 |
92 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
1 |
3 |
64 |
1 |
8 |
15 |
134 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
1 |
4 |
140 |
3 |
13 |
34 |
491 |
| Discrete Choice Models with Multiple Unobserved Choice Characteristics |
0 |
0 |
0 |
301 |
0 |
4 |
7 |
609 |
| Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
0 |
1 |
6 |
17 |
2 |
9 |
15 |
40 |
| Double-Robust Identification for Causal Panel Data Models |
1 |
2 |
3 |
28 |
5 |
6 |
11 |
96 |
| Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
47 |
8 |
10 |
13 |
168 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
1 |
7 |
8 |
9 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
2 |
1 |
2 |
2 |
19 |
| EFFICIENT ESTIMATION AND STRATIFIED SAMPLING |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
1,479 |
| Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
7 |
7 |
8 |
1,338 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
1 |
4 |
555 |
2 |
9 |
33 |
1,329 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
2 |
4 |
906 |
4 |
14 |
21 |
2,447 |
| Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
0 |
0 |
3 |
397 |
4 |
9 |
18 |
867 |
| Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
2 |
2 |
4 |
167 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
1 |
2 |
2 |
24 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
0 |
80 |
3 |
4 |
7 |
207 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
22 |
3 |
5 |
6 |
72 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
1 |
1 |
2 |
68 |
1 |
3 |
6 |
98 |
| Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
2 |
3 |
14 |
92 |
6 |
13 |
61 |
298 |
| Estimating average treatment effects in Stata |
1 |
1 |
5 |
2,481 |
3 |
5 |
16 |
5,652 |
| Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
0 |
301 |
4 |
10 |
17 |
1,241 |
| 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 |
5 |
9 |
23 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
0 |
1 |
21 |
0 |
2 |
3 |
106 |
| Estimation Considerations in Contextual Bandits |
0 |
1 |
1 |
33 |
3 |
6 |
24 |
140 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
0 |
4 |
12 |
600 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
4 |
6 |
11 |
876 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program |
0 |
1 |
1 |
106 |
2 |
5 |
10 |
514 |
| Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
2 |
3 |
4 |
300 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
55 |
2 |
4 |
5 |
68 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
2 |
3 |
6 |
29 |
| Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
2 |
3 |
5 |
114 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
1 |
87 |
0 |
4 |
9 |
234 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
3 |
37 |
2 |
6 |
12 |
125 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
2 |
8 |
15 |
329 |
| Fixed Effects and the Generalized Mundlak Estimator |
0 |
0 |
0 |
42 |
3 |
5 |
11 |
117 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
422 |
2 |
3 |
7 |
1,974 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
3 |
1 |
2 |
2 |
842 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
4 |
0 |
1 |
2 |
41 |
| Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching |
0 |
0 |
0 |
13 |
0 |
3 |
4 |
68 |
| Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
8 |
573 |
9 |
22 |
57 |
1,927 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
4 |
10 |
11 |
1,228 |
| Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
0 |
2 |
242 |
3 |
8 |
15 |
787 |
| Identification and Inference With Many Invalid Instruments |
0 |
0 |
1 |
14 |
0 |
3 |
10 |
104 |
| Identification and Inference in Nonlinear Difference-In-Differences Models |
0 |
0 |
2 |
821 |
2 |
7 |
24 |
2,642 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
0 |
1 |
101 |
1 |
1 |
5 |
358 |
| Identification and Inference with Many Invalid Instruments |
0 |
0 |
0 |
93 |
2 |
4 |
6 |
278 |
| Identification and efficiency bounds for the average match function under conditionally exogenous matching |
0 |
0 |
0 |
5 |
1 |
1 |
2 |
26 |
| Identification of Causal Effects Using Instrumental Variables |
0 |
1 |
5 |
1,427 |
2 |
17 |
29 |
2,867 |
| Imposing Moment Restrictions from Auxiliary Data by Weighting |
0 |
0 |
1 |
168 |
2 |
3 |
7 |
904 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
1 |
4 |
5 |
388 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
141 |
0 |
1 |
1 |
740 |
| Information Theoretic Approaches to Inference in Movement Condition Models |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
341 |
| Information theoretic approaches to inference in moment condition model |
0 |
0 |
0 |
67 |
0 |
2 |
3 |
357 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
0 |
4 |
5 |
9 |
805 |
| Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
0 |
3 |
5 |
1,934 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
0 |
312 |
3 |
4 |
5 |
383 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
0 |
68 |
4 |
10 |
17 |
194 |
| Jackknife Instrumental Variables Estimation |
0 |
0 |
2 |
534 |
4 |
14 |
21 |
2,563 |
| Machine Learning Methods Economists Should Know About |
2 |
4 |
17 |
895 |
12 |
31 |
73 |
895 |
| Machine Learning Methods Economists Should Know About |
1 |
1 |
4 |
158 |
6 |
13 |
18 |
282 |
| Machine Learning for Estimating Heterogeneous Causal Effects |
3 |
5 |
9 |
953 |
9 |
18 |
54 |
2,304 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
1 |
197 |
3 |
10 |
16 |
297 |
| Matching Methods in Practice: Three Examples |
0 |
1 |
1 |
261 |
7 |
11 |
22 |
572 |
| Matching methods for estimating treatment effects using Stata |
0 |
0 |
3 |
913 |
5 |
8 |
19 |
1,700 |
| Matching on the Estimated Propensity Score |
0 |
0 |
3 |
557 |
5 |
5 |
15 |
1,353 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
1 |
3 |
130 |
12 |
27 |
39 |
470 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
0 |
37 |
7 |
10 |
17 |
202 |
| Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
0 |
1 |
5 |
3,047 |
| Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
2 |
3 |
6 |
692 |
| Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
0 |
100 |
3 |
4 |
6 |
298 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
86 |
4 |
5 |
6 |
307 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
24 |
3 |
6 |
11 |
217 |
| Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
135 |
3 |
7 |
13 |
498 |
| Multiple Randomization Designs: Estimation and Inference with Interference |
0 |
0 |
3 |
67 |
2 |
10 |
28 |
112 |
| Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
0 |
292 |
2 |
3 |
5 |
1,271 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
3 |
5 |
8 |
754 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
0 |
2 |
3 |
816 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
7 |
2 |
6 |
7 |
39 |
| Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review |
0 |
0 |
2 |
573 |
87 |
94 |
104 |
1,356 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
2 |
3 |
7 |
627 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
12 |
3 |
8 |
10 |
125 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
2 |
8 |
20 |
302 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
1 |
5 |
6 |
221 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
5 |
9 |
13 |
1,329 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
2 |
4 |
6 |
202 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
4 |
4 |
104 |
4 |
14 |
20 |
388 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
1 |
1 |
3 |
137 |
1 |
10 |
20 |
530 |
| Optimal Experimental Design for Staggered Rollouts |
1 |
1 |
1 |
40 |
1 |
2 |
4 |
128 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
0 |
2 |
10 |
276 |
| Optimal bandwidth choice for the regression discontinuity estimator |
0 |
1 |
1 |
292 |
2 |
12 |
19 |
942 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
1 |
2 |
61 |
4 |
6 |
17 |
214 |
| Predicting the Efficacy of Future Training Programs Using Past Experiences |
0 |
0 |
0 |
127 |
4 |
7 |
7 |
844 |
| Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments |
0 |
0 |
1 |
44 |
0 |
0 |
5 |
62 |
| Raking and Regression |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
402 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
3 |
5 |
5 |
430 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
1 |
68 |
2 |
4 |
5 |
309 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
2 |
3 |
367 |
11 |
19 |
32 |
847 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
5 |
889 |
3 |
11 |
28 |
2,156 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
10 |
191 |
2 |
11 |
32 |
591 |
| Recent developments in the econometrics of program evaluation |
1 |
2 |
4 |
336 |
6 |
11 |
19 |
881 |
| Recursive Partitioning for Heterogeneous Causal Effects |
1 |
1 |
2 |
68 |
4 |
9 |
20 |
279 |
| Redefine Statistical Significance |
0 |
0 |
1 |
1,190 |
3 |
6 |
15 |
1,881 |
| Regression Discontinuity Designs: A Guide to Practice |
1 |
1 |
4 |
1,055 |
4 |
10 |
24 |
2,599 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
2 |
3 |
1,243 |
7 |
19 |
29 |
3,222 |
| Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
3 |
3 |
7 |
211 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
1 |
1 |
140 |
3 |
6 |
9 |
237 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
1 |
1 |
1 |
15 |
4 |
9 |
14 |
59 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
0 |
71 |
3 |
7 |
11 |
208 |
| Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
0 |
5 |
7 |
252 |
| Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
1 |
1 |
4 |
35 |
5 |
5 |
16 |
91 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
36 |
1 |
1 |
7 |
36 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
18 |
62 |
65 |
68 |
125 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
2 |
3 |
7 |
19 |
| Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
0 |
2 |
1,416 |
8 |
29 |
53 |
3,761 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
620 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
2 |
316 |
0 |
2 |
13 |
1,275 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
1 |
2 |
3 |
507 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
17 |
1 |
5 |
7 |
79 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
1 |
2 |
2 |
38 |
| Standards for Regression Discontinuity Designs |
0 |
1 |
2 |
81 |
2 |
7 |
13 |
291 |
| Synthetic Difference In Differences |
0 |
1 |
2 |
154 |
6 |
9 |
24 |
463 |
| Synthetic Difference in Differences |
0 |
2 |
11 |
173 |
8 |
19 |
59 |
826 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
1 |
59 |
1 |
3 |
4 |
252 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
2 |
4 |
4 |
7 |
29 |
| The Econometrics of Randomized Experiments |
0 |
2 |
15 |
253 |
7 |
17 |
64 |
702 |
| The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates |
1 |
1 |
26 |
26 |
6 |
11 |
37 |
37 |
| The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
40 |
| The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
96 |
2 |
8 |
8 |
812 |
| The Regression Discontinuity Design — Theory and Applications |
0 |
0 |
0 |
44 |
1 |
1 |
2 |
142 |
| The Role of the Propensity Score in Estimating Dose-Response Functions |
1 |
1 |
10 |
888 |
4 |
10 |
30 |
2,574 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
0 |
45 |
1 |
3 |
11 |
273 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
1 |
20 |
2 |
2 |
6 |
75 |
| The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
1 |
1 |
148 |
5 |
10 |
17 |
248 |
| The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
1 |
1 |
8 |
90 |
8 |
15 |
70 |
407 |
| Using Experiments to Correct for Selection in Observational Studies |
5 |
5 |
7 |
93 |
13 |
14 |
28 |
216 |
| Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation |
1 |
1 |
4 |
4 |
6 |
10 |
18 |
18 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
62 |
1 |
5 |
9 |
109 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
1 |
1 |
24 |
1 |
6 |
7 |
80 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
2 |
5 |
225 |
8 |
28 |
43 |
1,446 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
109 |
9 |
22 |
49 |
310 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
96 |
7 |
25 |
36 |
221 |
| Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
0 |
1 |
8 |
305 |
5 |
10 |
26 |
763 |
| Why ask Why? Forward Causal Inference and Reverse Causal Questions |
0 |
0 |
4 |
139 |
3 |
6 |
19 |
393 |
| Total Working Papers |
31 |
80 |
345 |
33,750 |
708 |
1,426 |
2,836 |
119,661 |
| 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 |
1 |
5 |
8 |
236 |
| A Measure of Robustness to Misspecification |
0 |
0 |
1 |
61 |
2 |
4 |
15 |
268 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
1 |
1 |
3 |
314 |
3 |
4 |
9 |
1,160 |
| Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
0 |
0 |
29 |
1 |
8 |
19 |
198 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
1 |
5 |
439 |
1 |
6 |
16 |
1,479 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
1 |
2 |
5 |
796 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
4 |
236 |
8 |
22 |
35 |
703 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
3 |
5 |
7 |
69 |
8 |
24 |
46 |
413 |
| 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 |
1 |
2 |
3 |
181 |
| Case-control studies with contaminated controls |
1 |
1 |
2 |
103 |
3 |
4 |
8 |
279 |
| Choosing instrumental variables in conditional moment restriction models |
1 |
1 |
1 |
89 |
1 |
2 |
4 |
271 |
| Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
0 |
1 |
5 |
195 |
| Combining Micro and Macro Data in Microeconometric Models |
1 |
3 |
11 |
306 |
7 |
9 |
30 |
800 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
2 |
4 |
8 |
447 |
| Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
0 |
0 |
39 |
2 |
4 |
9 |
214 |
| Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
0 |
19 |
2 |
4 |
5 |
59 |
| Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
0 |
16 |
1 |
4 |
9 |
126 |
| Confidence Intervals for Partially Identified Parameters |
0 |
0 |
0 |
483 |
4 |
18 |
19 |
1,228 |
| Confidence intervals in generalized method of moments models |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
204 |
| DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
1 |
2 |
4 |
212 |
| Dealing with limited overlap in estimation of average treatment effects |
1 |
1 |
8 |
108 |
5 |
12 |
31 |
403 |
| Design-based analysis in Difference-In-Differences settings with staggered adoption |
1 |
3 |
30 |
126 |
19 |
40 |
130 |
551 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
3 |
10 |
40 |
1,797 |
| Efficient estimation and stratified sampling |
0 |
0 |
1 |
226 |
4 |
6 |
11 |
681 |
| Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
1 |
227 |
0 |
6 |
9 |
486 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
2 |
2 |
3 |
29 |
3 |
4 |
8 |
105 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
3 |
44 |
0 |
2 |
15 |
205 |
| Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
0 |
0 |
1 |
180 |
6 |
8 |
16 |
499 |
| Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
3 |
4 |
8 |
452 |
9 |
19 |
49 |
1,677 |
| Estimation of the Conditional Variance in Paired Experiments |
0 |
0 |
0 |
11 |
1 |
1 |
7 |
72 |
| Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
575 |
| Evaluating the Cost of Conscription in The Netherlands |
0 |
0 |
0 |
0 |
9 |
18 |
37 |
1,054 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
0 |
0 |
1 |
109 |
1 |
4 |
11 |
431 |
| Exact p-Values for Network Interference |
0 |
0 |
2 |
11 |
3 |
7 |
15 |
59 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
5 |
9 |
48 |
2 |
12 |
27 |
182 |
| Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
0 |
7 |
11 |
713 |
| Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
0 |
0 |
0 |
4 |
0 |
0 |
4 |
22 |
| Identification and Estimation of Local Average Treatment Effects |
1 |
6 |
36 |
1,395 |
16 |
61 |
193 |
4,094 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
4 |
153 |
6 |
9 |
19 |
409 |
| Identification and Inference With Many Invalid Instruments |
0 |
1 |
3 |
33 |
3 |
11 |
19 |
207 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
1 |
3 |
6 |
466 |
4 |
19 |
38 |
1,290 |
| Implementing matching estimators for average treatment effects in Stata |
0 |
3 |
9 |
1,315 |
10 |
48 |
73 |
2,974 |
| Imposing Moment Restrictions From Auxiliary Data By Weighting |
0 |
1 |
3 |
159 |
3 |
8 |
26 |
578 |
| Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
0 |
10 |
0 |
3 |
4 |
74 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
0 |
1 |
5 |
380 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
8 |
30 |
42 |
1,115 |
| Instrumental variable estimation of nonseparable models |
1 |
1 |
1 |
174 |
35 |
39 |
39 |
394 |
| Jackknife Instrumental Variables Estimation |
0 |
0 |
6 |
354 |
2 |
17 |
32 |
1,447 |
| Large Sample Properties of Matching Estimators for Average Treatment Effects |
1 |
8 |
24 |
528 |
21 |
71 |
122 |
1,716 |
| Machine Learning Methods That Economists Should Know About |
5 |
15 |
63 |
319 |
26 |
56 |
178 |
814 |
| Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
1 |
1 |
123 |
0 |
2 |
3 |
257 |
| Matching Methods in Practice: Three Examples |
1 |
3 |
11 |
381 |
3 |
10 |
43 |
1,056 |
| Matching on the Estimated Propensity Score |
1 |
1 |
2 |
80 |
6 |
23 |
39 |
426 |
| Matrix Completion Methods for Causal Panel Data Models |
1 |
2 |
2 |
23 |
3 |
7 |
19 |
74 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
1 |
8 |
10 |
480 |
| Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
0 |
0 |
10 |
722 |
4 |
14 |
60 |
1,842 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
1 |
192 |
0 |
2 |
8 |
561 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
2 |
3 |
258 |
4 |
13 |
18 |
878 |
| One-Step Estimators for Over-Identified Generalized Method of Moments Models |
0 |
0 |
2 |
152 |
0 |
15 |
28 |
472 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
1 |
8 |
19 |
799 |
8 |
28 |
80 |
2,705 |
| Optimal stock/flow panels |
0 |
0 |
1 |
15 |
2 |
3 |
5 |
91 |
| Optimized Regression Discontinuity Designs |
0 |
1 |
7 |
137 |
4 |
17 |
36 |
430 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
5 |
86 |
4 |
9 |
26 |
268 |
| Predicting the efficacy of future training programs using past experiences at other locations |
0 |
0 |
1 |
114 |
0 |
3 |
7 |
382 |
| Propensity score matching and subclassification in observational studies with multi‐level treatments |
0 |
0 |
0 |
9 |
1 |
5 |
7 |
57 |
| Random Effects Estimators with many Instrumental Variables |
0 |
0 |
0 |
156 |
2 |
6 |
8 |
599 |
| Re-employment probabilities over the business cycle |
0 |
0 |
0 |
45 |
2 |
3 |
6 |
257 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
3 |
20 |
910 |
9 |
24 |
83 |
2,572 |
| Redefine statistical significance |
0 |
2 |
8 |
26 |
3 |
7 |
32 |
124 |
| Regression discontinuity designs: A guide to practice |
1 |
4 |
27 |
1,906 |
11 |
39 |
125 |
5,261 |
| Rejoinder |
0 |
0 |
0 |
19 |
0 |
2 |
2 |
56 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
1 |
4 |
8 |
103 |
8 |
18 |
38 |
461 |
| Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
0 |
0 |
2 |
37 |
3 |
5 |
8 |
179 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
2 |
4 |
43 |
4 |
13 |
22 |
200 |
| Sensitivity to Exogeneity Assumptions in Program Evaluation |
0 |
1 |
2 |
210 |
3 |
7 |
18 |
516 |
| Social Networks and the Identification of Peer Effects |
2 |
3 |
6 |
125 |
7 |
16 |
29 |
292 |
| Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
2 |
232 |
3 |
4 |
10 |
522 |
| Statistical Significance, p-Values, and the Reporting of Uncertainty |
1 |
2 |
2 |
35 |
4 |
8 |
15 |
141 |
| Synthetic Difference-in-Differences |
5 |
16 |
59 |
446 |
19 |
65 |
194 |
1,185 |
| The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
3 |
7 |
16 |
68 |
8 |
19 |
35 |
1,313 |
| The State of Applied Econometrics: Causality and Policy Evaluation |
0 |
2 |
8 |
259 |
4 |
25 |
69 |
899 |
| Transition Models in a Non-stationary Environment |
0 |
1 |
1 |
38 |
2 |
6 |
7 |
245 |
| Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs |
4 |
14 |
43 |
132 |
18 |
51 |
153 |
612 |
| Total Journal Articles |
45 |
145 |
529 |
17,788 |
399 |
1,137 |
2,716 |
59,886 |
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