| 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 |
2 |
4 |
76 |
| A Design-Based Perspective on Synthetic Control Methods |
0 |
1 |
1 |
46 |
3 |
9 |
15 |
120 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
99 |
0 |
1 |
8 |
341 |
| A Martingale Representation for Matching Estimators |
0 |
0 |
0 |
70 |
0 |
9 |
13 |
260 |
| A New Approach to Generalized Method on Moments Estimation |
0 |
0 |
0 |
0 |
1 |
5 |
8 |
573 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DESCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
0 |
5 |
9 |
650 |
| AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING |
0 |
0 |
0 |
0 |
0 |
1 |
10 |
531 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
0 |
4 |
0 |
3 |
6 |
38 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
0 |
0 |
0 |
1 |
0 |
5 |
9 |
11 |
| An Empirical Model for Strategic Network Formation |
0 |
0 |
0 |
51 |
1 |
6 |
13 |
208 |
| An empirical model for strategic network formation |
0 |
0 |
0 |
79 |
1 |
4 |
8 |
161 |
| Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions |
0 |
0 |
1 |
38 |
2 |
7 |
20 |
178 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
0 |
4 |
12 |
399 |
| Average Causal Response with Variable Treatment Intensity |
0 |
0 |
0 |
0 |
4 |
8 |
17 |
357 |
| Average Causal Response with Variable Treatment Intensity |
1 |
1 |
3 |
218 |
1 |
16 |
34 |
923 |
| Average causal response with variable treatment intensity |
0 |
0 |
1 |
6 |
1 |
6 |
14 |
102 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis |
0 |
1 |
13 |
344 |
6 |
37 |
120 |
1,216 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
1 |
2 |
360 |
4 |
13 |
27 |
1,003 |
| Bias from Classical and Other Forms of Measurement Error |
1 |
1 |
1 |
423 |
4 |
7 |
27 |
2,271 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
3 |
22 |
32 |
527 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
6 |
1 |
5 |
9 |
53 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
1 |
1 |
2 |
6 |
10 |
| Case-Control Studies with Contaminated Controls |
0 |
0 |
0 |
0 |
2 |
5 |
9 |
361 |
| Causal Models for Longitudinal and Panel Data: A Survey |
0 |
0 |
2 |
70 |
2 |
3 |
12 |
109 |
| Causality in econometrics: methods in conversation with practice |
0 |
2 |
6 |
195 |
2 |
9 |
20 |
270 |
| Clustering, Spatial Correlations and Randomization Inference |
0 |
0 |
1 |
80 |
5 |
13 |
19 |
249 |
| Combining Micro and Macro Data in Microeconometric Models |
0 |
0 |
0 |
0 |
1 |
5 |
14 |
818 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
322 |
0 |
6 |
10 |
6,843 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
1 |
275 |
1 |
7 |
10 |
1,343 |
| Comments On: Understanding and Misunderstanding Randomized Controlled Trails by Cartwright and Deaton |
0 |
1 |
3 |
161 |
1 |
7 |
15 |
269 |
| Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis |
0 |
0 |
0 |
43 |
0 |
7 |
11 |
240 |
| Confidence intervals for partially identified parameters |
0 |
0 |
1 |
168 |
3 |
10 |
15 |
560 |
| Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models |
0 |
1 |
1 |
36 |
0 |
10 |
16 |
96 |
| Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations |
0 |
1 |
2 |
53 |
1 |
4 |
17 |
44 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
2 |
19 |
3 |
11 |
25 |
211 |
| Dealing with Limited Overlap in Estimation of Average Treatment Effects |
0 |
0 |
0 |
172 |
2 |
10 |
23 |
665 |
| Design-Robust Two-Way-Fixed-Effects Regression For Panel Data |
1 |
1 |
4 |
64 |
1 |
8 |
21 |
144 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
1 |
22 |
0 |
6 |
18 |
98 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
1 |
1 |
4 |
141 |
2 |
10 |
35 |
501 |
| Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption |
0 |
0 |
3 |
64 |
4 |
10 |
24 |
144 |
| Discrete Choice Models with Multiple Unobserved Choice Characteristics |
0 |
1 |
1 |
302 |
2 |
11 |
17 |
620 |
| Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control |
0 |
0 |
5 |
17 |
1 |
5 |
19 |
45 |
| Double-Robust Identification for Causal Panel Data Models |
0 |
0 |
3 |
28 |
0 |
5 |
14 |
101 |
| Doubly Robust Identification for Causal Panel Data Models |
0 |
0 |
0 |
47 |
4 |
12 |
23 |
180 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
2 |
0 |
2 |
4 |
21 |
| Duration models with time-varying coefficients |
0 |
0 |
0 |
0 |
0 |
1 |
9 |
10 |
| EFFICIENT ESTIMATION AND STRATIFIED SAMPLING |
0 |
0 |
0 |
1 |
1 |
9 |
11 |
1,488 |
| Efficient Estimation and Stratified Sampling |
0 |
0 |
0 |
0 |
0 |
5 |
13 |
1,343 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
3 |
6 |
558 |
8 |
20 |
46 |
1,349 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
1 |
3 |
7 |
909 |
3 |
12 |
31 |
2,459 |
| Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing |
0 |
0 |
2 |
397 |
2 |
8 |
21 |
875 |
| Efficient estimation and stratified sampling |
0 |
0 |
0 |
12 |
0 |
4 |
8 |
171 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
4 |
0 |
1 |
3 |
25 |
| Efficient estimation of choice-based sample methods with the method of moments |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
7 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
1 |
22 |
2 |
10 |
16 |
82 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
0 |
80 |
1 |
11 |
16 |
218 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
2 |
68 |
1 |
7 |
12 |
105 |
| Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index |
0 |
1 |
9 |
93 |
6 |
19 |
65 |
317 |
| Estimating average treatment effects in Stata |
0 |
0 |
3 |
2,481 |
2 |
8 |
19 |
5,660 |
| Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
1 |
1 |
1 |
302 |
6 |
12 |
28 |
1,253 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
1 |
1 |
6 |
2 |
5 |
12 |
28 |
| Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players |
0 |
1 |
2 |
22 |
2 |
23 |
26 |
129 |
| Estimation Considerations in Contextual Bandits |
0 |
1 |
2 |
34 |
2 |
8 |
28 |
148 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
0 |
2 |
3 |
11 |
603 |
| Evaluating the Cost of Conscription in the Netherlands |
0 |
0 |
0 |
148 |
2 |
6 |
13 |
882 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program |
0 |
0 |
1 |
106 |
0 |
4 |
13 |
518 |
| Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects |
0 |
0 |
0 |
0 |
0 |
3 |
6 |
303 |
| Exact P-Values for Network Interference |
0 |
0 |
0 |
17 |
0 |
7 |
12 |
36 |
| Exact P-Values for Network Interference |
1 |
1 |
1 |
56 |
1 |
8 |
12 |
76 |
| Exact P-values for Network Interference |
0 |
0 |
0 |
65 |
1 |
8 |
11 |
122 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
1 |
87 |
1 |
6 |
11 |
240 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
0 |
1 |
37 |
0 |
2 |
10 |
127 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
0 |
7 |
19 |
336 |
| Fixed Effects and the Generalized Mundlak Estimator |
0 |
0 |
0 |
42 |
0 |
2 |
11 |
119 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
3 |
0 |
1 |
3 |
843 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
4 |
0 |
3 |
4 |
44 |
| Hierarchical Bayes Models with Many Instrumental Variables |
0 |
0 |
0 |
422 |
0 |
5 |
11 |
1,979 |
| Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching |
0 |
0 |
0 |
13 |
0 |
3 |
7 |
71 |
| Identification and Estimation of Local Average Treatment Effects |
0 |
2 |
8 |
575 |
13 |
78 |
121 |
2,005 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
2 |
10 |
21 |
1,238 |
| Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
0 |
0 |
0 |
242 |
3 |
10 |
21 |
797 |
| Identification and Inference With Many Invalid Instruments |
0 |
0 |
0 |
14 |
2 |
5 |
9 |
109 |
| Identification and Inference in Nonlinear Difference-In-Differences Models |
0 |
0 |
2 |
821 |
1 |
5 |
21 |
2,647 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
0 |
1 |
101 |
1 |
5 |
9 |
363 |
| Identification and Inference with Many Invalid Instruments |
0 |
0 |
0 |
93 |
1 |
7 |
11 |
285 |
| Identification and efficiency bounds for the average match function under conditionally exogenous matching |
0 |
0 |
0 |
5 |
1 |
1 |
3 |
27 |
| Identification of Causal Effects Using Instrumental Variables |
0 |
1 |
3 |
1,428 |
3 |
10 |
33 |
2,877 |
| Imposing Moment Restrictions from Auxiliary Data by Weighting |
0 |
0 |
1 |
168 |
1 |
5 |
10 |
909 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
141 |
1 |
8 |
9 |
748 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
0 |
0 |
5 |
9 |
393 |
| Information Theoretic Approaches to Inference in Movement Condition Models |
0 |
0 |
0 |
0 |
1 |
4 |
8 |
345 |
| Information theoretic approaches to inference in moment condition model |
0 |
0 |
0 |
67 |
1 |
8 |
11 |
365 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
0 |
6 |
11 |
18 |
816 |
| Instrumental Variables Estimation of Quantile Treatment Effects |
0 |
0 |
0 |
489 |
1 |
4 |
7 |
1,938 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
0 |
0 |
68 |
0 |
4 |
21 |
198 |
| Instrumental Variables: An Econometrician's Perspective |
0 |
1 |
1 |
313 |
2 |
9 |
14 |
392 |
| Jackknife Instrumental Variables Estimation |
0 |
0 |
1 |
534 |
3 |
10 |
28 |
2,573 |
| Machine Learning Methods Economists Should Know About |
1 |
2 |
4 |
160 |
2 |
10 |
25 |
292 |
| Machine Learning Methods Economists Should Know About |
1 |
2 |
15 |
897 |
8 |
36 |
94 |
931 |
| Machine Learning for Estimating Heterogeneous Causal Effects |
1 |
4 |
12 |
957 |
4 |
25 |
61 |
2,329 |
| Matching Methods in Practice: Three Examples |
1 |
1 |
2 |
262 |
2 |
9 |
27 |
581 |
| Matching Methods in Practice: Three Examples |
0 |
0 |
1 |
197 |
3 |
8 |
22 |
305 |
| Matching methods for estimating treatment effects using Stata |
0 |
1 |
2 |
914 |
0 |
7 |
23 |
1,707 |
| Matching on the Estimated Propensity Score |
0 |
1 |
3 |
558 |
1 |
12 |
23 |
1,365 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
1 |
1 |
38 |
7 |
13 |
28 |
215 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
0 |
2 |
130 |
5 |
13 |
47 |
483 |
| Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
0 |
6 |
10 |
3,053 |
| Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
1 |
6 |
10 |
698 |
| Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach |
0 |
0 |
0 |
100 |
0 |
11 |
16 |
309 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
0 |
86 |
0 |
3 |
9 |
310 |
| Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand |
0 |
0 |
1 |
24 |
3 |
5 |
13 |
222 |
| Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand |
0 |
1 |
1 |
136 |
2 |
7 |
16 |
505 |
| Multiple Randomization Designs: Estimation and Inference with Interference |
1 |
2 |
4 |
69 |
2 |
9 |
32 |
121 |
| Non-Parametric Demand Analysis with an Application to the Demand for Fish |
0 |
0 |
0 |
292 |
1 |
4 |
9 |
1,275 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
1 |
1 |
4 |
6 |
820 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
7 |
0 |
5 |
12 |
44 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
246 |
1 |
5 |
11 |
759 |
| Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review |
0 |
0 |
1 |
573 |
2 |
89 |
187 |
1,445 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
60 |
1 |
9 |
17 |
311 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
36 |
2 |
7 |
12 |
228 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
1 |
1 |
1 |
13 |
2 |
12 |
22 |
137 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
147 |
1 |
4 |
11 |
631 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
425 |
1 |
8 |
20 |
1,337 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
0 |
35 |
1 |
23 |
29 |
225 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
3 |
137 |
4 |
12 |
25 |
542 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
0 |
0 |
4 |
104 |
6 |
19 |
37 |
407 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
0 |
0 |
2 |
18 |
24 |
294 |
| Optimal Experimental Design for Staggered Rollouts |
0 |
0 |
1 |
40 |
2 |
10 |
13 |
138 |
| Optimal bandwidth choice for the regression discontinuity estimator |
0 |
0 |
1 |
292 |
2 |
5 |
23 |
947 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
1 |
61 |
4 |
13 |
26 |
227 |
| Predicting the Efficacy of Future Training Programs Using Past Experiences |
0 |
0 |
0 |
127 |
1 |
5 |
12 |
849 |
| Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments |
0 |
0 |
0 |
44 |
0 |
6 |
9 |
68 |
| Raking and Regression |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
403 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
1 |
68 |
0 |
17 |
22 |
326 |
| Re-Employment Probabilities over the Business Cycle |
0 |
0 |
0 |
55 |
0 |
5 |
10 |
435 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
1 |
4 |
368 |
3 |
5 |
34 |
852 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
5 |
889 |
2 |
12 |
35 |
2,168 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
3 |
9 |
194 |
2 |
13 |
33 |
604 |
| Recent developments in the econometrics of program evaluation |
0 |
0 |
4 |
336 |
1 |
11 |
29 |
892 |
| Recursive Partitioning for Heterogeneous Causal Effects |
0 |
0 |
2 |
68 |
14 |
28 |
43 |
307 |
| Redefine Statistical Significance |
1 |
4 |
5 |
1,194 |
6 |
26 |
39 |
1,907 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
0 |
3 |
1,243 |
4 |
11 |
39 |
3,233 |
| Regression Discontinuity Designs: A Guide to Practice |
0 |
0 |
2 |
1,055 |
2 |
8 |
26 |
2,607 |
| Robust Inference for Misspecified Models Conditional on Covariates |
0 |
0 |
0 |
48 |
0 |
4 |
11 |
215 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
0 |
1 |
2 |
141 |
8 |
29 |
37 |
266 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
1 |
2 |
16 |
1 |
8 |
20 |
67 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
1 |
1 |
72 |
0 |
7 |
18 |
215 |
| Semiparametric Applications of Bayesian Influence |
0 |
0 |
0 |
0 |
0 |
10 |
16 |
262 |
| Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference |
1 |
1 |
4 |
36 |
2 |
10 |
22 |
101 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
18 |
0 |
114 |
181 |
239 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
4 |
0 |
3 |
7 |
22 |
| Semiparametric Estimation of Treatment Effects in Randomized Experiments |
0 |
0 |
0 |
36 |
0 |
16 |
21 |
52 |
| Simple and Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
1 |
2 |
1,417 |
5 |
18 |
66 |
3,779 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
1 |
316 |
0 |
1 |
12 |
1,276 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
0 |
1 |
6 |
8 |
626 |
| Sources of Identifying Information in Evaluation Models |
0 |
0 |
0 |
1 |
1 |
4 |
6 |
511 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
38 |
| Sources of identifying information in evaluation models |
0 |
0 |
0 |
17 |
0 |
2 |
9 |
81 |
| Standards for Regression Discontinuity Designs |
0 |
0 |
1 |
81 |
1 |
3 |
13 |
294 |
| Synthetic Difference In Differences |
0 |
1 |
2 |
155 |
4 |
13 |
29 |
476 |
| Synthetic Difference in Differences |
0 |
1 |
8 |
174 |
5 |
17 |
65 |
843 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
2 |
1 |
2 |
7 |
31 |
| The Analysis of Randomized Experiments with Missing Data |
0 |
0 |
0 |
59 |
0 |
1 |
4 |
253 |
| The Econometrics of Randomized Experiments |
1 |
2 |
11 |
255 |
7 |
21 |
70 |
723 |
| The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates |
0 |
1 |
27 |
27 |
1 |
9 |
46 |
46 |
| The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
1 |
1 |
3 |
5 |
43 |
| The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program |
0 |
0 |
0 |
96 |
0 |
5 |
13 |
817 |
| The Regression Discontinuity Design — Theory and Applications |
1 |
1 |
1 |
45 |
2 |
7 |
9 |
149 |
| The Role of the Propensity Score in Estimating Dose-Response Functions |
2 |
3 |
9 |
891 |
5 |
12 |
34 |
2,586 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
0 |
20 |
2 |
7 |
11 |
82 |
| The Role of the Propensity Score in Fixed Effect Models |
0 |
0 |
0 |
45 |
5 |
16 |
23 |
289 |
| The State of Applied Econometrics - Causality and Policy Evaluation |
0 |
0 |
1 |
148 |
3 |
12 |
28 |
260 |
| The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely |
0 |
2 |
7 |
92 |
1 |
11 |
54 |
418 |
| Using Experiments to Correct for Selection in Observational Studies |
0 |
1 |
7 |
94 |
3 |
14 |
39 |
230 |
| Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation |
0 |
2 |
6 |
6 |
1 |
10 |
28 |
28 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
0 |
62 |
0 |
6 |
13 |
115 |
| Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations |
0 |
0 |
1 |
24 |
0 |
1 |
7 |
81 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
2 |
7 |
227 |
2 |
14 |
53 |
1,460 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
109 |
5 |
30 |
77 |
340 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
3 |
96 |
2 |
10 |
45 |
231 |
| Why High-order Polynomials Should not be Used in Regression Discontinuity Designs |
2 |
3 |
10 |
308 |
2 |
8 |
32 |
771 |
| Why ask Why? Forward Causal Inference and Reverse Causal Questions |
0 |
0 |
3 |
139 |
0 |
6 |
22 |
399 |
| Total Working Papers |
23 |
77 |
334 |
33,827 |
337 |
1,829 |
4,153 |
121,490 |
| 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 |
8 |
14 |
244 |
| A Measure of Robustness to Misspecification |
0 |
0 |
0 |
61 |
0 |
6 |
18 |
274 |
| An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling |
1 |
1 |
2 |
315 |
1 |
9 |
15 |
1,169 |
| Approximate residual balancing: debiased inference of average treatment effects in high dimensions |
0 |
0 |
0 |
29 |
2 |
10 |
26 |
208 |
| Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) |
0 |
1 |
3 |
440 |
0 |
10 |
21 |
1,489 |
| Bias from Classical and Other Forms of Measurement Error |
0 |
0 |
0 |
0 |
1 |
6 |
9 |
802 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
0 |
2 |
236 |
1 |
10 |
40 |
713 |
| Bias-Corrected Matching Estimators for Average Treatment Effects |
0 |
4 |
10 |
73 |
5 |
17 |
57 |
430 |
| 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 |
3 |
6 |
184 |
| Case-control studies with contaminated controls |
0 |
1 |
3 |
104 |
1 |
7 |
13 |
286 |
| Choosing instrumental variables in conditional moment restriction models |
1 |
1 |
2 |
90 |
1 |
3 |
6 |
274 |
| Clustering, Spatial Correlations, and Randomization Inference |
0 |
0 |
0 |
43 |
0 |
9 |
13 |
204 |
| Combining Micro and Macro Data in Microeconometric Models |
1 |
1 |
7 |
307 |
1 |
3 |
25 |
803 |
| Combining Panel Data Sets with Attrition and Refreshment Samples |
0 |
0 |
0 |
108 |
1 |
11 |
17 |
458 |
| Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations" |
0 |
0 |
0 |
39 |
3 |
6 |
12 |
220 |
| Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei |
0 |
0 |
0 |
19 |
0 |
0 |
4 |
59 |
| Complementarity and aggregate implications of assortative matching: A nonparametric analysis |
0 |
0 |
0 |
16 |
0 |
6 |
15 |
132 |
| Confidence Intervals for Partially Identified Parameters |
1 |
1 |
1 |
484 |
2 |
8 |
27 |
1,236 |
| Confidence intervals in generalized method of moments models |
0 |
0 |
0 |
51 |
1 |
5 |
6 |
209 |
| DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS |
0 |
0 |
0 |
64 |
3 |
29 |
32 |
241 |
| Dealing with limited overlap in estimation of average treatment effects |
0 |
0 |
5 |
108 |
0 |
4 |
28 |
407 |
| Design-based analysis in Difference-In-Differences settings with staggered adoption |
0 |
5 |
23 |
131 |
7 |
33 |
127 |
584 |
| Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score |
0 |
0 |
0 |
578 |
1 |
12 |
42 |
1,809 |
| Efficient estimation and stratified sampling |
0 |
0 |
0 |
226 |
0 |
6 |
16 |
687 |
| Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
0 |
0 |
227 |
1 |
4 |
12 |
490 |
| Ensemble Methods for Causal Effects in Panel Data Settings |
0 |
0 |
3 |
29 |
0 |
7 |
15 |
112 |
| Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges |
0 |
0 |
3 |
44 |
0 |
6 |
18 |
211 |
| Estimating Outcome Distributions for Compliers in Instrumental Variables Models |
1 |
1 |
1 |
181 |
3 |
8 |
22 |
507 |
| Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players |
0 |
0 |
6 |
452 |
9 |
18 |
52 |
1,695 |
| Estimation of the Conditional Variance in Paired Experiments |
0 |
2 |
2 |
13 |
0 |
8 |
14 |
80 |
| Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment |
0 |
0 |
0 |
0 |
0 |
2 |
6 |
577 |
| Evaluating the Cost of Conscription in The Netherlands |
0 |
0 |
0 |
0 |
9 |
21 |
52 |
1,075 |
| Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program |
0 |
1 |
2 |
110 |
1 |
5 |
14 |
436 |
| Exact p-Values for Network Interference |
0 |
0 |
1 |
11 |
0 |
4 |
15 |
63 |
| External Validity in Fuzzy Regression Discontinuity Designs |
0 |
1 |
8 |
49 |
2 |
12 |
34 |
194 |
| Generalized Method of Moments and Empirical Likelihood |
0 |
0 |
0 |
0 |
0 |
4 |
14 |
717 |
| Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching |
0 |
0 |
0 |
4 |
1 |
3 |
5 |
25 |
| Identification and Estimation of Local Average Treatment Effects |
0 |
5 |
33 |
1,400 |
10 |
41 |
203 |
4,135 |
| Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
1 |
153 |
2 |
7 |
20 |
416 |
| Identification and Inference With Many Invalid Instruments |
0 |
0 |
2 |
33 |
1 |
11 |
27 |
218 |
| Identification and Inference in Nonlinear Difference-in-Differences Models |
0 |
4 |
9 |
470 |
1 |
12 |
44 |
1,302 |
| Implementing matching estimators for average treatment effects in Stata |
0 |
1 |
7 |
1,316 |
3 |
17 |
80 |
2,991 |
| Imposing Moment Restrictions From Auxiliary Data By Weighting |
0 |
1 |
2 |
160 |
3 |
7 |
23 |
585 |
| Inference for Misspecified Models With Fixed Regressors |
0 |
0 |
0 |
10 |
2 |
5 |
9 |
79 |
| Information Theoretic Approaches to Inference in Moment Condition Models |
0 |
0 |
0 |
1 |
2 |
6 |
9 |
386 |
| Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings |
0 |
0 |
0 |
295 |
4 |
13 |
48 |
1,128 |
| Instrumental variable estimation of nonseparable models |
0 |
0 |
1 |
174 |
0 |
5 |
44 |
399 |
| Jackknife Instrumental Variables Estimation |
0 |
1 |
5 |
355 |
1 |
10 |
38 |
1,457 |
| Large Sample Properties of Matching Estimators for Average Treatment Effects |
1 |
3 |
23 |
531 |
9 |
20 |
130 |
1,736 |
| Machine Learning Methods That Economists Should Know About |
5 |
11 |
58 |
330 |
18 |
49 |
185 |
863 |
| Matched Sampling for Causal Effects by Donald B. Rubin |
0 |
0 |
1 |
123 |
0 |
2 |
5 |
259 |
| Matching Methods in Practice: Three Examples |
0 |
1 |
10 |
382 |
4 |
12 |
43 |
1,068 |
| Matching on the Estimated Propensity Score |
1 |
2 |
4 |
82 |
7 |
24 |
57 |
450 |
| Matrix Completion Methods for Causal Panel Data Models |
0 |
1 |
3 |
24 |
2 |
8 |
23 |
82 |
| Nonparametric Applications of Bayesian Inference |
0 |
0 |
0 |
2 |
0 |
10 |
19 |
490 |
| Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review |
0 |
1 |
6 |
723 |
2 |
30 |
69 |
1,872 |
| Nonparametric Tests for Treatment Effect Heterogeneity |
0 |
0 |
0 |
192 |
3 |
6 |
11 |
567 |
| On the Failure of the Bootstrap for Matching Estimators |
0 |
0 |
3 |
258 |
2 |
36 |
52 |
914 |
| One-Step Estimators for Over-Identified Generalized Method of Moments Models |
0 |
0 |
1 |
152 |
1 |
10 |
35 |
482 |
| Optimal Bandwidth Choice for the Regression Discontinuity Estimator |
1 |
2 |
19 |
801 |
8 |
24 |
93 |
2,729 |
| Optimal stock/flow panels |
0 |
0 |
1 |
15 |
0 |
6 |
11 |
97 |
| Optimized Regression Discontinuity Designs |
1 |
1 |
7 |
138 |
4 |
14 |
45 |
444 |
| Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics |
0 |
0 |
3 |
86 |
1 |
7 |
30 |
275 |
| Predicting the efficacy of future training programs using past experiences at other locations |
1 |
2 |
3 |
116 |
3 |
7 |
13 |
389 |
| Propensity score matching and subclassification in observational studies with multi‐level treatments |
0 |
0 |
0 |
9 |
1 |
6 |
12 |
63 |
| Random Effects Estimators with many Instrumental Variables |
0 |
1 |
1 |
157 |
0 |
2 |
8 |
601 |
| Re-employment probabilities over the business cycle |
0 |
0 |
0 |
45 |
0 |
8 |
13 |
265 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
4 |
16 |
914 |
5 |
24 |
83 |
2,596 |
| Redefine statistical significance |
1 |
1 |
5 |
27 |
2 |
8 |
26 |
132 |
| Regression discontinuity designs: A guide to practice |
3 |
4 |
20 |
1,910 |
14 |
76 |
173 |
5,337 |
| Rejoinder |
0 |
0 |
0 |
19 |
0 |
1 |
3 |
57 |
| Robust Standard Errors in Small Samples: Some Practical Advice |
1 |
1 |
8 |
104 |
5 |
16 |
52 |
477 |
| Robust, accurate confidence intervals with a weak instrument: quarter of birth and education |
1 |
1 |
2 |
38 |
2 |
3 |
10 |
182 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
4 |
43 |
1 |
8 |
29 |
208 |
| Sensitivity to Exogeneity Assumptions in Program Evaluation |
3 |
7 |
9 |
217 |
4 |
18 |
32 |
534 |
| Social Networks and the Identification of Peer Effects |
2 |
6 |
12 |
131 |
3 |
20 |
45 |
312 |
| Special issue editors' introduction: The regression discontinuity design--Theory and applications |
0 |
0 |
2 |
232 |
1 |
7 |
16 |
529 |
| Statistical Significance, p-Values, and the Reporting of Uncertainty |
0 |
0 |
2 |
35 |
2 |
12 |
25 |
153 |
| Synthetic Difference-in-Differences |
4 |
12 |
55 |
458 |
22 |
74 |
224 |
1,259 |
| The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish |
3 |
7 |
19 |
75 |
9 |
20 |
49 |
1,333 |
| The State of Applied Econometrics: Causality and Policy Evaluation |
3 |
3 |
10 |
262 |
8 |
32 |
92 |
931 |
| Transition Models in a Non-stationary Environment |
0 |
0 |
1 |
38 |
1 |
4 |
11 |
249 |
| Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs |
3 |
4 |
40 |
136 |
7 |
29 |
155 |
641 |
| Total Journal Articles |
40 |
107 |
492 |
17,895 |
237 |
1,090 |
3,286 |
60,976 |