Access Statistics for Jeffrey Wooldridge
Author contact details at EconPapers.
| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| 401K |
2 |
11 |
42 |
1,448 |
8 |
22 |
79 |
3,806 |
| 401KSUBS |
3 |
8 |
32 |
1,155 |
6 |
16 |
58 |
2,739 |
| A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
273 |
| A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
1 |
3 |
5 |
141 |
| A Design-Based Approach to Spatial Correlation |
0 |
0 |
1 |
15 |
2 |
3 |
11 |
38 |
| A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
0 |
3 |
27 |
41 |
4 |
12 |
77 |
107 |
| A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
1 |
112 |
0 |
1 |
7 |
280 |
| A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
434 |
| A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
818 |
| A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
0 |
1 |
4 |
187 |
| A theoretical and empirical investigation of the Box-Cox model and a nonlinear least squares alternative |
0 |
0 |
0 |
89 |
1 |
2 |
2 |
181 |
| ADMNREV |
0 |
0 |
0 |
110 |
0 |
1 |
2 |
420 |
| AIRFARE |
0 |
6 |
29 |
1,152 |
4 |
13 |
69 |
2,907 |
| AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
219 |
| APPLE |
1 |
1 |
8 |
566 |
3 |
3 |
23 |
1,516 |
| ATHLET1 |
1 |
1 |
1 |
207 |
1 |
2 |
5 |
556 |
| ATHLET2 |
1 |
1 |
1 |
131 |
2 |
3 |
5 |
435 |
| ATTEND |
0 |
4 |
8 |
988 |
3 |
9 |
18 |
2,052 |
| AUDIT |
1 |
2 |
2 |
263 |
1 |
3 |
5 |
792 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
2 |
2 |
3 |
36 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
2 |
2 |
5 |
57 |
2 |
2 |
9 |
136 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
1 |
19 |
0 |
1 |
7 |
41 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
5 |
| Affairs |
0 |
1 |
8 |
981 |
2 |
3 |
18 |
2,058 |
| Aggregating Average Treatment Effects on the Treated in Difference-in-Differences Models |
8 |
40 |
40 |
40 |
14 |
49 |
49 |
49 |
| Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
1 |
4 |
35 |
1 |
7 |
19 |
71 |
| BARIUM |
0 |
1 |
3 |
394 |
3 |
6 |
12 |
986 |
| BWGHT |
22 |
52 |
118 |
3,153 |
35 |
104 |
246 |
7,476 |
| Binary Response Panel Data Models with Sample Selection and Self Selection |
0 |
0 |
1 |
107 |
1 |
3 |
7 |
210 |
| Bwght2 |
1 |
2 |
7 |
900 |
2 |
7 |
24 |
1,955 |
| CARD |
0 |
0 |
13 |
1,136 |
5 |
6 |
23 |
4,180 |
| CEMENT |
0 |
1 |
2 |
279 |
1 |
2 |
7 |
734 |
| CEOSAL1 |
6 |
22 |
50 |
2,776 |
13 |
43 |
107 |
5,503 |
| CEOSAL2 |
2 |
19 |
55 |
2,181 |
10 |
42 |
112 |
4,573 |
| CONSUMP |
0 |
0 |
6 |
366 |
1 |
1 |
13 |
1,948 |
| CORN |
1 |
1 |
2 |
155 |
2 |
2 |
4 |
680 |
| CORNWELL |
0 |
0 |
7 |
513 |
3 |
3 |
20 |
1,233 |
| CPS78_85 |
3 |
5 |
10 |
757 |
3 |
10 |
19 |
1,743 |
| CPS91 |
0 |
2 |
6 |
270 |
1 |
3 |
12 |
763 |
| CRIME1 |
1 |
5 |
13 |
1,372 |
2 |
10 |
31 |
2,818 |
| CRIME2 |
0 |
1 |
13 |
1,101 |
2 |
6 |
33 |
2,401 |
| CRIME3 |
0 |
0 |
0 |
314 |
0 |
1 |
2 |
782 |
| CRIME4 |
0 |
0 |
3 |
864 |
2 |
8 |
23 |
2,045 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
0 |
94 |
1 |
2 |
9 |
242 |
| Correlated random effects methods for panel data models with heterogeneous time effects |
1 |
6 |
21 |
336 |
7 |
19 |
68 |
957 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
4 |
6 |
14 |
43 |
8 |
19 |
37 |
89 |
| DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
2 |
4 |
9 |
518 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
2 |
5 |
92 |
5 |
32 |
82 |
936 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
1 |
38 |
0 |
2 |
5 |
106 |
| Determinants of Diversification of Urban Sahel Diets into Maize: A Contingent Valuation Study of Processed Maize Demand in Mali |
0 |
0 |
0 |
2 |
0 |
2 |
4 |
27 |
| Difference in difference for nonbinary treatments in Stata |
11 |
43 |
74 |
74 |
16 |
69 |
138 |
138 |
| Discrim |
1 |
19 |
21 |
1,089 |
5 |
33 |
40 |
2,817 |
| Does the Precision and Stability of Value-Added Estimates of Teacher Performance Depend on the Types of Students They Serve? |
0 |
0 |
0 |
47 |
1 |
1 |
2 |
141 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
1 |
3 |
3 |
6 |
15 |
43 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
5 |
46 |
5 |
8 |
24 |
73 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
2 |
3 |
11 |
3 |
10 |
26 |
60 |
| EARNS |
0 |
0 |
1 |
269 |
1 |
1 |
3 |
711 |
| EZANDERS |
0 |
1 |
5 |
271 |
1 |
3 |
10 |
612 |
| EZUNEM |
0 |
1 |
3 |
250 |
0 |
2 |
7 |
565 |
| Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
1 |
2 |
8 |
1,296 |
6 |
17 |
38 |
3,367 |
| Engin |
0 |
0 |
2 |
257 |
0 |
2 |
6 |
740 |
| Estimating Panel Data Models in the Presence of Endogeneity and Selection |
0 |
0 |
2 |
527 |
2 |
5 |
14 |
964 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
1 |
3 |
647 |
4 |
6 |
11 |
2,207 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
1 |
3 |
11 |
13 |
| Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
436 |
| Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
1 |
1 |
1 |
91 |
| FAIR |
0 |
0 |
0 |
169 |
0 |
0 |
0 |
398 |
| FERTIL1 |
4 |
10 |
31 |
1,168 |
7 |
17 |
48 |
2,163 |
| FERTIL2 |
5 |
7 |
24 |
1,300 |
5 |
10 |
43 |
2,841 |
| FERTIL3 |
1 |
5 |
10 |
586 |
1 |
10 |
25 |
1,155 |
| FRINGE |
0 |
0 |
3 |
499 |
0 |
1 |
10 |
1,318 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
2 |
7 |
13 |
327 |
| Fish |
0 |
0 |
0 |
450 |
0 |
0 |
3 |
1,054 |
| Fractional response models with endogeneous explanatory variables and heterogeneity |
1 |
3 |
9 |
1,209 |
4 |
12 |
48 |
2,387 |
| GPA1 |
4 |
8 |
62 |
1,386 |
11 |
24 |
110 |
2,676 |
| GPA2 |
3 |
4 |
25 |
1,351 |
10 |
14 |
56 |
3,021 |
| GPA3 |
0 |
0 |
7 |
911 |
2 |
4 |
26 |
2,858 |
| GROGGER |
1 |
2 |
6 |
586 |
3 |
4 |
12 |
1,446 |
| HPRICE1 |
8 |
21 |
81 |
2,773 |
16 |
43 |
165 |
5,259 |
| HPRICE2 |
4 |
9 |
35 |
1,024 |
11 |
21 |
71 |
2,280 |
| HPRICE3 |
2 |
5 |
16 |
482 |
3 |
11 |
36 |
1,211 |
| HSEINV |
0 |
1 |
10 |
348 |
2 |
3 |
17 |
836 |
| HTV |
2 |
3 |
9 |
425 |
3 |
8 |
19 |
1,338 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
1 |
1 |
3 |
135 |
| INFMRT |
1 |
1 |
4 |
201 |
3 |
4 |
7 |
493 |
| INJURY |
0 |
1 |
1 |
444 |
0 |
1 |
4 |
920 |
| INTDEF |
1 |
2 |
5 |
476 |
1 |
4 |
9 |
969 |
| INTQRT |
1 |
1 |
1 |
183 |
2 |
2 |
3 |
558 |
| INVEN |
0 |
0 |
0 |
168 |
2 |
3 |
4 |
2,028 |
| Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
2 |
4 |
4 |
41 |
| Inference for partial effects in nonlinear panel-data models using Stata |
0 |
1 |
1 |
764 |
0 |
1 |
4 |
1,122 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
1 |
2 |
606 |
2 |
4 |
12 |
1,880 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
1 |
2 |
3 |
5 |
7 |
9 |
15 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
0 |
493 |
0 |
0 |
3 |
1,620 |
| Inverse probability weighted estimation for general missing data problems |
1 |
1 |
4 |
6 |
3 |
4 |
10 |
14 |
| JTRAIN |
3 |
5 |
12 |
1,312 |
4 |
15 |
53 |
3,397 |
| JTRAIN2 |
3 |
5 |
18 |
1,134 |
6 |
10 |
32 |
2,746 |
| KEANE |
1 |
3 |
6 |
635 |
1 |
4 |
19 |
1,529 |
| KIELMC |
2 |
11 |
43 |
1,289 |
13 |
30 |
99 |
2,625 |
| LABSUP |
1 |
1 |
11 |
473 |
3 |
5 |
29 |
1,091 |
| LAWSCH85 |
1 |
2 |
9 |
800 |
2 |
4 |
22 |
1,749 |
| LOANAPP |
1 |
2 |
20 |
1,343 |
3 |
7 |
49 |
3,393 |
| LOWBRTH |
0 |
0 |
1 |
198 |
1 |
4 |
6 |
565 |
| MATHPNL |
0 |
1 |
7 |
402 |
0 |
2 |
10 |
918 |
| MEAP93 |
2 |
9 |
27 |
1,138 |
5 |
28 |
67 |
2,564 |
| MLB1 |
1 |
4 |
13 |
815 |
2 |
7 |
30 |
1,816 |
| MROZ |
8 |
26 |
105 |
3,487 |
17 |
55 |
223 |
8,363 |
| MURDER |
1 |
1 |
13 |
818 |
2 |
5 |
23 |
1,941 |
| More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
0 |
2 |
32 |
0 |
2 |
13 |
51 |
| NBASAL |
1 |
1 |
4 |
658 |
1 |
5 |
20 |
1,805 |
| NLS80 |
1 |
4 |
7 |
894 |
3 |
8 |
22 |
1,878 |
| NLS81_87 |
0 |
0 |
1 |
175 |
2 |
3 |
6 |
445 |
| NORWAY |
0 |
1 |
3 |
301 |
1 |
2 |
5 |
680 |
| NYSE |
1 |
1 |
1 |
400 |
2 |
2 |
5 |
1,171 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
5 |
10 |
55 |
4 |
12 |
34 |
128 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
0 |
4 |
9 |
3 |
5 |
12 |
21 |
| Nonlinear difference in differences with panel data |
1 |
4 |
22 |
364 |
1 |
8 |
37 |
668 |
| OPENNESS |
1 |
1 |
3 |
459 |
1 |
3 |
7 |
922 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
1 |
1 |
0 |
2 |
4 |
6 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
0 |
0 |
3 |
611 |
| PATENT |
0 |
0 |
0 |
373 |
0 |
0 |
4 |
808 |
| PENSION |
0 |
0 |
1 |
541 |
0 |
0 |
7 |
1,188 |
| PHILLIPS |
1 |
4 |
20 |
730 |
3 |
7 |
28 |
1,535 |
| PNTSPRD |
0 |
0 |
9 |
423 |
1 |
4 |
29 |
1,076 |
| PRISON |
0 |
0 |
4 |
592 |
2 |
2 |
12 |
1,585 |
| PRMINWGE |
0 |
0 |
1 |
286 |
1 |
1 |
6 |
600 |
| Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
2 |
5 |
128 |
2 |
8 |
13 |
223 |
| Q |
0 |
0 |
1 |
187 |
0 |
1 |
3 |
553 |
| Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
3 |
7 |
17 |
1,990 |
| RDCHEM |
4 |
6 |
13 |
782 |
5 |
9 |
36 |
1,799 |
| RECID |
1 |
1 |
3 |
472 |
3 |
4 |
14 |
1,792 |
| REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
191 |
| RENTAL |
0 |
1 |
9 |
730 |
0 |
2 |
18 |
1,331 |
| RETURN |
0 |
0 |
0 |
241 |
1 |
1 |
1 |
591 |
| Rdtelec |
0 |
0 |
0 |
135 |
2 |
2 |
3 |
370 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
2 |
11 |
191 |
4 |
9 |
33 |
589 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
5 |
889 |
2 |
10 |
28 |
2,153 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
1 |
4 |
366 |
5 |
8 |
25 |
836 |
| Recent developments in the econometrics of program evaluation |
1 |
1 |
3 |
335 |
1 |
6 |
14 |
875 |
| Relationships among recent difference-in-differences estimators and how to compute them in Stata |
4 |
19 |
126 |
235 |
5 |
23 |
152 |
304 |
| Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
2 |
29 |
1 |
4 |
10 |
60 |
| SAVING |
7 |
15 |
50 |
586 |
9 |
21 |
65 |
1,123 |
| SLEEP75 |
13 |
30 |
97 |
2,683 |
28 |
70 |
192 |
5,777 |
| SLP75_81 |
0 |
0 |
2 |
330 |
1 |
2 |
7 |
798 |
| SMOKE |
13 |
18 |
117 |
2,058 |
23 |
51 |
243 |
4,332 |
| SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
512 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
3 |
5 |
10 |
55 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
0 |
71 |
2 |
4 |
8 |
205 |
| Simple Alternatives to the Common Correlated Effects Model |
0 |
1 |
1 |
62 |
0 |
3 |
7 |
37 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
911 |
6 |
13 |
13 |
1,960 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
5 |
9 |
11 |
14 |
| Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
344 |
| TRAFFIC1 |
1 |
1 |
2 |
323 |
1 |
1 |
10 |
924 |
| TRAFFIC2 |
1 |
1 |
3 |
471 |
4 |
4 |
12 |
1,288 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
1 |
1 |
9 |
0 |
3 |
10 |
31 |
| Twoyear |
0 |
0 |
7 |
485 |
2 |
3 |
16 |
1,088 |
| Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
5 |
11 |
76 |
736 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
46 |
3 |
3 |
4 |
87 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
1 |
1 |
1 |
10 |
1 |
2 |
6 |
43 |
| VOLAT |
0 |
0 |
3 |
242 |
0 |
2 |
13 |
1,261 |
| VOTE1 |
3 |
11 |
28 |
1,392 |
10 |
26 |
86 |
4,494 |
| VOTE2 |
0 |
0 |
3 |
357 |
1 |
1 |
15 |
1,527 |
| WAGE1 |
42 |
129 |
341 |
6,281 |
76 |
222 |
614 |
12,625 |
| WAGE2 |
21 |
58 |
172 |
4,818 |
39 |
112 |
343 |
9,858 |
| WAGEPAN |
10 |
23 |
70 |
2,228 |
25 |
45 |
136 |
4,713 |
| WAGEPRC |
0 |
0 |
2 |
354 |
2 |
3 |
6 |
1,017 |
| What Are We Weighting For? |
1 |
4 |
25 |
840 |
5 |
15 |
98 |
2,004 |
| What Estimators Are Unbiased For Linear Models? |
0 |
0 |
1 |
42 |
4 |
5 |
8 |
28 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
4 |
96 |
10 |
22 |
29 |
214 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
4 |
109 |
5 |
21 |
41 |
301 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
3 |
5 |
225 |
13 |
22 |
35 |
1,438 |
| Wine |
0 |
0 |
0 |
1,010 |
0 |
1 |
2 |
2,217 |
| Total Working Papers |
270 |
786 |
2,535 |
98,996 |
719 |
1,930 |
5,922 |
241,126 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model |
0 |
0 |
1 |
66 |
2 |
2 |
5 |
125 |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
1 |
26 |
0 |
0 |
1 |
59 |
| A Capital Asset Pricing Model with Time-Varying Covariances |
1 |
3 |
13 |
3,028 |
10 |
20 |
68 |
7,666 |
| A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
0 |
4 |
25 |
1 |
3 |
15 |
94 |
| A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
1 |
6 |
26 |
2 |
4 |
19 |
72 |
| A Simple Specification Test for the Predictive Ability of Transformation Models |
0 |
0 |
7 |
192 |
1 |
3 |
13 |
443 |
| A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
1 |
3 |
5 |
77 |
| A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
1 |
1 |
81 |
1 |
4 |
8 |
203 |
| A computational trick for delta-method standard errors |
1 |
2 |
6 |
774 |
1 |
3 |
12 |
1,579 |
| A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
1 |
7 |
268 |
0 |
1 |
15 |
689 |
| A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
1 |
2 |
8 |
347 |
3 |
9 |
24 |
854 |
| A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
2 |
2 |
288 |
0 |
6 |
8 |
553 |
| A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
0 |
3 |
379 |
0 |
1 |
9 |
2,237 |
| A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
0 |
0 |
0 |
276 |
| A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
1 |
100 |
4 |
4 |
7 |
231 |
| A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
1 |
45 |
0 |
0 |
3 |
137 |
| A simple, robust test for choosing the level of fixed effects in linear panel data models |
1 |
2 |
10 |
23 |
4 |
10 |
38 |
89 |
| ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
90 |
| ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
3 |
55 |
2 |
3 |
10 |
169 |
| Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
0 |
1 |
2 |
10 |
10 |
| An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
28 |
| An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
0 |
1 |
2 |
186 |
| Applications of Generalized Method of Moments Estimation |
0 |
1 |
8 |
2,170 |
5 |
15 |
34 |
5,005 |
| Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
555 |
| Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format |
1 |
2 |
5 |
5 |
4 |
6 |
15 |
15 |
| Binary response panel data models with sample selection and self‐selection |
1 |
1 |
2 |
22 |
1 |
4 |
8 |
81 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
1 |
1 |
3 |
67 |
2 |
4 |
12 |
210 |
| Cluster-Sample Methods in Applied Econometrics |
1 |
2 |
8 |
754 |
3 |
12 |
62 |
1,854 |
| Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
0 |
8 |
8 |
3 |
5 |
24 |
31 |
| Control Function Methods in Applied Econometrics |
12 |
36 |
115 |
1,225 |
27 |
87 |
265 |
2,415 |
| Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
2 |
4 |
19 |
218 |
5 |
13 |
52 |
623 |
| Correlated random effects models with unbalanced panels |
8 |
13 |
50 |
455 |
16 |
41 |
134 |
1,217 |
| Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
1 |
2 |
15 |
15 |
4 |
10 |
37 |
37 |
| Difference-in-differences estimation (in Russian) |
0 |
1 |
1 |
274 |
2 |
8 |
13 |
555 |
| Distribution-free estimation of some nonlinear panel data models |
0 |
0 |
16 |
883 |
3 |
10 |
55 |
1,807 |
| Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
0 |
0 |
0 |
16 |
0 |
2 |
6 |
104 |
| Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
1 |
2 |
0 |
2 |
6 |
9 |
| Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
8 |
23 |
59 |
1,340 |
30 |
70 |
155 |
3,139 |
| Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
1 |
143 |
1 |
2 |
8 |
283 |
| Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
2 |
249 |
1 |
2 |
6 |
626 |
| Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
0 |
2 |
3 |
389 |
| Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth |
0 |
0 |
1 |
54 |
0 |
1 |
3 |
205 |
| Estimating panel data models in the presence of endogeneity and selection |
3 |
10 |
36 |
770 |
7 |
31 |
104 |
1,949 |
| Estimating systems of equations with different instruments for different equations |
0 |
0 |
5 |
202 |
0 |
0 |
14 |
495 |
| Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
194 |
| Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
0 |
1 |
2 |
411 |
0 |
4 |
11 |
1,060 |
| Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
2 |
4 |
32 |
852 |
3 |
13 |
74 |
1,779 |
| Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
1 |
1 |
3 |
263 |
1 |
1 |
6 |
465 |
| Heterogeneity and Heteroskedasticity in Endogenous Switching Models: Estimating the Effects of Physician Advice on Calorie Consumption |
0 |
2 |
2 |
2 |
10 |
15 |
18 |
18 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
87 |
| INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
1 |
8 |
265 |
1 |
3 |
12 |
429 |
| Improved estimation of dynamic models of conditional means and variances |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
2 |
| Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
10 |
1 |
2 |
7 |
25 |
| Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
0 |
6 |
46 |
4 |
9 |
35 |
207 |
| Inverse probability weighted estimation for general missing data problems |
6 |
9 |
25 |
528 |
8 |
20 |
65 |
1,273 |
| Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
2 |
117 |
1 |
1 |
6 |
310 |
| Non linear correlated random effects models with endogeneity and unbalanced panels |
1 |
1 |
3 |
4 |
4 |
4 |
9 |
12 |
| On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
1 |
3 |
5 |
71 |
| On estimating firm-level production functions using proxy variables to control for unobservables |
7 |
18 |
90 |
2,995 |
27 |
75 |
263 |
6,551 |
| On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
1 |
2 |
7 |
55 |
| On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
1 |
3 |
511 |
2 |
5 |
14 |
869 |
| On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
1 |
4 |
18 |
0 |
4 |
11 |
58 |
| On two stage least squares estimation of the average treatment effect in a random coefficient model |
0 |
0 |
2 |
438 |
2 |
3 |
13 |
1,289 |
| Panel data methods for fractional response variables with an application to test pass rates |
1 |
4 |
12 |
650 |
7 |
19 |
43 |
1,648 |
| Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
0 |
178 |
0 |
2 |
7 |
549 |
| Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
0 |
38 |
0 |
0 |
3 |
188 |
| Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
0 |
4 |
22 |
340 |
1 |
13 |
48 |
772 |
| Recent Developments in the Econometrics of Program Evaluation |
2 |
3 |
22 |
909 |
10 |
20 |
81 |
2,563 |
| Rejoinder |
0 |
0 |
0 |
6 |
0 |
1 |
2 |
22 |
| Revisiting regression adjustment in experiments with heterogeneous treatment effects |
0 |
0 |
18 |
95 |
3 |
3 |
32 |
235 |
| Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
| SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
0 |
0 |
56 |
1 |
2 |
4 |
147 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
2 |
4 |
43 |
6 |
10 |
19 |
196 |
| Selection corrections for panel data models under conditional mean independence assumptions |
1 |
3 |
17 |
2,006 |
2 |
11 |
47 |
3,523 |
| Should instrumental variables be used as matching variables? |
0 |
3 |
8 |
73 |
4 |
12 |
25 |
224 |
| Simple approaches to nonlinear difference-in-differences with panel data |
3 |
8 |
22 |
24 |
8 |
18 |
67 |
75 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
3 |
1,571 |
3 |
7 |
24 |
3,431 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
2 |
3 |
5 |
3 |
9 |
13 |
28 |
| Some Alternatives to the Box-Cox Regression Model |
0 |
0 |
3 |
389 |
0 |
2 |
9 |
1,647 |
| Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
2 |
4 |
111 |
1 |
3 |
7 |
222 |
| Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
2 |
315 |
2 |
5 |
8 |
537 |
| Statistical significance is okay, too: comment on "Size Matters" |
0 |
0 |
0 |
196 |
2 |
2 |
3 |
367 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
1 |
20 |
2 |
5 |
10 |
55 |
| Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
5 |
21 |
3 |
3 |
13 |
99 |
| Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
0 |
1 |
16 |
0 |
2 |
7 |
100 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
1 |
2 |
5 |
5 |
| VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
1 |
6 |
122 |
1 |
3 |
11 |
262 |
| What Are We Weighting For? |
3 |
11 |
47 |
714 |
16 |
38 |
130 |
1,906 |
| What is a standard error? (And how should we compute it?) |
4 |
7 |
19 |
93 |
7 |
12 |
43 |
175 |
| When Should You Adjust Standard Errors for Clustering? |
2 |
7 |
35 |
114 |
23 |
51 |
164 |
489 |
| Total Journal Articles |
75 |
207 |
867 |
29,641 |
320 |
827 |
2,687 |
71,693 |
|
|