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 |
1 |
5 |
32 |
1,468 |
1 |
9 |
100 |
3,879 |
| 401KSUBS |
0 |
2 |
25 |
1,168 |
0 |
6 |
72 |
2,790 |
| A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
280 |
| A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
0 |
1 |
13 |
151 |
| A Design-Based Approach to Spatial Correlation |
1 |
1 |
3 |
18 |
1 |
2 |
17 |
52 |
| A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
0 |
1 |
7 |
44 |
0 |
20 |
58 |
150 |
| A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
0 |
112 |
0 |
3 |
17 |
295 |
| A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
441 |
| A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
823 |
| A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
0 |
0 |
5 |
190 |
| A theoretical and empirical investigation of the Box-Cox model and a nonlinear least squares alternative |
0 |
0 |
0 |
89 |
0 |
0 |
7 |
186 |
| ADMNREV |
0 |
0 |
0 |
110 |
0 |
1 |
19 |
438 |
| AIRFARE |
0 |
4 |
16 |
1,161 |
2 |
9 |
66 |
2,959 |
| AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
0 |
2 |
18 |
235 |
| APPLE |
0 |
1 |
5 |
570 |
1 |
3 |
35 |
1,546 |
| ATHLET1 |
0 |
0 |
1 |
207 |
0 |
0 |
33 |
587 |
| ATHLET2 |
0 |
0 |
1 |
131 |
0 |
0 |
24 |
456 |
| ATTEND |
0 |
3 |
10 |
994 |
0 |
6 |
53 |
2,095 |
| AUDIT |
0 |
0 |
2 |
263 |
0 |
0 |
23 |
812 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
0 |
1 |
9 |
42 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
1 |
2 |
1 |
3 |
12 |
16 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
19 |
0 |
1 |
12 |
51 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
3 |
58 |
1 |
3 |
21 |
155 |
| Affairs |
0 |
1 |
3 |
982 |
0 |
2 |
24 |
2,078 |
| Aggregating Average Treatment Effects on the Treated in Difference-in-Differences Models |
1 |
4 |
50 |
50 |
1 |
10 |
87 |
87 |
| Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
0 |
4 |
38 |
1 |
2 |
27 |
91 |
| BARIUM |
0 |
0 |
1 |
394 |
0 |
2 |
29 |
1,009 |
| BWGHT |
4 |
13 |
120 |
3,211 |
6 |
30 |
283 |
7,640 |
| Binary Response Panel Data Models with Sample Selection and Self Selection |
0 |
0 |
1 |
108 |
0 |
4 |
58 |
265 |
| Bwght2 |
0 |
0 |
6 |
903 |
0 |
0 |
46 |
1,993 |
| CARD |
0 |
3 |
5 |
1,141 |
1 |
5 |
43 |
4,216 |
| CEMENT |
0 |
0 |
4 |
282 |
0 |
0 |
23 |
755 |
| CEOSAL1 |
0 |
1 |
46 |
2,796 |
0 |
7 |
121 |
5,573 |
| CEOSAL2 |
2 |
6 |
38 |
2,200 |
4 |
10 |
120 |
4,649 |
| CONSUMP |
0 |
1 |
3 |
369 |
0 |
2 |
44 |
1,991 |
| CORN |
0 |
0 |
2 |
156 |
0 |
0 |
25 |
703 |
| CORNWELL |
0 |
0 |
0 |
513 |
0 |
3 |
27 |
1,257 |
| CPS78_85 |
1 |
2 |
12 |
764 |
1 |
6 |
56 |
1,789 |
| CPS91 |
0 |
1 |
3 |
271 |
0 |
1 |
26 |
786 |
| CRIME1 |
1 |
2 |
14 |
1,381 |
1 |
3 |
55 |
2,863 |
| CRIME2 |
1 |
3 |
8 |
1,108 |
1 |
6 |
45 |
2,440 |
| CRIME3 |
0 |
0 |
0 |
314 |
0 |
0 |
24 |
805 |
| CRIME4 |
0 |
0 |
2 |
866 |
0 |
3 |
43 |
2,080 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
0 |
94 |
0 |
2 |
14 |
253 |
| Correlated random effects methods for panel data models with heterogeneous time effects |
1 |
5 |
26 |
353 |
5 |
84 |
159 |
1,093 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
2 |
18 |
55 |
4 |
17 |
76 |
146 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
0 |
2 |
2 |
1 |
3 |
15 |
15 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
1 |
2 |
2 |
0 |
1 |
11 |
11 |
| DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
0 |
6 |
32 |
545 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
5 |
95 |
3 |
7 |
195 |
1,057 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
0 |
38 |
0 |
1 |
18 |
122 |
| Determinants of Diversification of Urban Sahel Diets into Maize: A Contingent Valuation Study of Processed Maize Demand in Mali |
0 |
0 |
0 |
2 |
0 |
0 |
9 |
34 |
| Difference in difference for nonbinary treatments in Stata |
3 |
10 |
109 |
109 |
6 |
20 |
217 |
217 |
| Discrim |
0 |
0 |
22 |
1,092 |
0 |
0 |
56 |
2,839 |
| 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 |
2 |
12 |
152 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
4 |
13 |
0 |
6 |
34 |
83 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
3 |
48 |
2 |
4 |
39 |
99 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
1 |
4 |
1 |
2 |
23 |
60 |
| EARNS |
0 |
0 |
0 |
269 |
0 |
0 |
24 |
734 |
| EZANDERS |
0 |
0 |
2 |
272 |
1 |
3 |
32 |
640 |
| EZUNEM |
0 |
0 |
2 |
250 |
0 |
3 |
19 |
581 |
| Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
1 |
1 |
6 |
1,300 |
2 |
8 |
56 |
3,404 |
| Engin |
0 |
0 |
0 |
257 |
0 |
0 |
20 |
758 |
| Estimating Panel Data Models in the Presence of Endogeneity and Selection |
2 |
4 |
8 |
535 |
2 |
7 |
30 |
989 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
1 |
647 |
0 |
1 |
17 |
2,217 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
0 |
2 |
27 |
37 |
| Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
445 |
| Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
1 |
1 |
14 |
104 |
| FAIR |
0 |
0 |
1 |
170 |
0 |
1 |
24 |
422 |
| FERTIL1 |
0 |
3 |
17 |
1,175 |
0 |
6 |
57 |
2,202 |
| FERTIL2 |
0 |
1 |
12 |
1,305 |
0 |
2 |
56 |
2,887 |
| FERTIL3 |
0 |
0 |
6 |
587 |
0 |
4 |
40 |
1,185 |
| FRINGE |
0 |
1 |
1 |
500 |
0 |
2 |
26 |
1,343 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
2 |
5 |
26 |
344 |
| Fish |
0 |
0 |
1 |
451 |
0 |
1 |
25 |
1,079 |
| Fractional response models with endogeneous explanatory variables and heterogeneity |
0 |
1 |
9 |
1,215 |
2 |
6 |
46 |
2,418 |
| GPA1 |
1 |
5 |
19 |
1,397 |
2 |
7 |
77 |
2,729 |
| GPA2 |
0 |
3 |
11 |
1,358 |
1 |
9 |
57 |
3,064 |
| GPA3 |
0 |
3 |
5 |
915 |
0 |
5 |
34 |
2,887 |
| GROGGER |
0 |
1 |
10 |
594 |
0 |
2 |
35 |
1,477 |
| HPRICE1 |
0 |
6 |
44 |
2,795 |
4 |
19 |
148 |
5,362 |
| HPRICE2 |
2 |
5 |
18 |
1,033 |
10 |
81 |
135 |
2,394 |
| HPRICE3 |
0 |
0 |
10 |
487 |
0 |
0 |
43 |
1,242 |
| HSEINV |
0 |
0 |
2 |
348 |
0 |
0 |
29 |
860 |
| HTV |
0 |
0 |
3 |
425 |
0 |
1 |
35 |
1,365 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
0 |
1 |
19 |
151 |
| INFMRT |
0 |
0 |
5 |
205 |
0 |
1 |
27 |
516 |
| INJURY |
0 |
0 |
2 |
445 |
0 |
2 |
30 |
949 |
| INTDEF |
0 |
0 |
5 |
479 |
0 |
1 |
35 |
1,000 |
| INTQRT |
0 |
1 |
2 |
184 |
0 |
2 |
23 |
579 |
| INVEN |
0 |
0 |
1 |
169 |
0 |
1 |
34 |
2,058 |
| Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
0 |
1 |
15 |
52 |
| Inference for partial effects in nonlinear panel-data models using Stata |
0 |
0 |
1 |
764 |
0 |
1 |
11 |
1,132 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
2 |
5 |
7 |
2 |
3 |
28 |
36 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
1 |
2 |
607 |
2 |
3 |
23 |
1,899 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
2 |
6 |
5 |
5 |
21 |
30 |
| Inverse probability weighted estimation for general missing data problems |
1 |
1 |
1 |
494 |
1 |
2 |
15 |
1,634 |
| JTRAIN |
0 |
4 |
17 |
1,324 |
2 |
13 |
62 |
3,442 |
| JTRAIN2 |
0 |
2 |
19 |
1,145 |
0 |
4 |
56 |
2,789 |
| KEANE |
0 |
2 |
6 |
638 |
0 |
5 |
38 |
1,562 |
| KIELMC |
0 |
2 |
20 |
1,297 |
0 |
5 |
80 |
2,671 |
| LABSUP |
0 |
1 |
2 |
474 |
1 |
2 |
33 |
1,118 |
| LAWSCH85 |
0 |
0 |
7 |
804 |
0 |
0 |
35 |
1,779 |
| LOANAPP |
1 |
3 |
6 |
1,347 |
1 |
7 |
50 |
3,436 |
| LOWBRTH |
0 |
0 |
0 |
198 |
0 |
2 |
26 |
587 |
| MATHPNL |
0 |
0 |
2 |
403 |
0 |
6 |
37 |
953 |
| MEAP93 |
0 |
0 |
15 |
1,144 |
0 |
5 |
88 |
2,623 |
| MLB1 |
0 |
0 |
5 |
816 |
0 |
3 |
40 |
1,848 |
| MROZ |
4 |
19 |
94 |
3,541 |
11 |
56 |
266 |
8,549 |
| MURDER |
2 |
2 |
8 |
825 |
2 |
3 |
39 |
1,974 |
| More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
0 |
0 |
32 |
0 |
4 |
20 |
67 |
| NBASAL |
1 |
1 |
3 |
660 |
1 |
4 |
36 |
1,836 |
| NLS80 |
0 |
0 |
5 |
894 |
1 |
4 |
35 |
1,904 |
| NLS81_87 |
0 |
0 |
0 |
175 |
0 |
1 |
31 |
473 |
| NORWAY |
0 |
0 |
1 |
301 |
0 |
0 |
21 |
699 |
| NYSE |
0 |
0 |
1 |
400 |
0 |
1 |
21 |
1,190 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
0 |
10 |
59 |
1 |
10 |
59 |
172 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
1 |
2 |
10 |
0 |
3 |
16 |
31 |
| Nonlinear difference in differences with panel data |
0 |
1 |
10 |
369 |
0 |
7 |
35 |
691 |
| OPENNESS |
1 |
1 |
4 |
462 |
1 |
1 |
23 |
942 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
0 |
4 |
17 |
627 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
2 |
2 |
2 |
3 |
3 |
3 |
18 |
22 |
| PATENT |
0 |
0 |
0 |
373 |
0 |
2 |
21 |
829 |
| PENSION |
0 |
0 |
0 |
541 |
0 |
2 |
22 |
1,210 |
| PHILLIPS |
0 |
1 |
10 |
736 |
0 |
4 |
37 |
1,565 |
| PNTSPRD |
1 |
2 |
2 |
425 |
2 |
4 |
36 |
1,107 |
| PRISON |
0 |
0 |
0 |
592 |
0 |
3 |
24 |
1,607 |
| PRMINWGE |
0 |
0 |
0 |
286 |
0 |
2 |
32 |
630 |
| Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
0 |
5 |
131 |
0 |
3 |
40 |
254 |
| Q |
0 |
0 |
0 |
187 |
0 |
2 |
23 |
575 |
| Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
0 |
6 |
43 |
2,025 |
| RDCHEM |
0 |
0 |
10 |
786 |
0 |
0 |
44 |
1,833 |
| RECID |
0 |
0 |
3 |
474 |
0 |
2 |
27 |
1,815 |
| REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
0 |
1 |
14 |
205 |
| RENTAL |
0 |
1 |
4 |
733 |
0 |
2 |
39 |
1,368 |
| RETURN |
0 |
0 |
0 |
241 |
0 |
0 |
24 |
614 |
| Rdtelec |
0 |
0 |
0 |
135 |
0 |
0 |
31 |
399 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
3 |
10 |
197 |
0 |
5 |
46 |
621 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
2 |
890 |
1 |
4 |
40 |
2,182 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
3 |
368 |
1 |
1 |
36 |
862 |
| Recent developments in the econometrics of program evaluation |
0 |
0 |
2 |
336 |
1 |
6 |
43 |
910 |
| Relationships among recent difference-in-differences estimators and how to compute them in Stata |
1 |
4 |
45 |
252 |
3 |
8 |
66 |
338 |
| Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
0 |
29 |
0 |
0 |
11 |
67 |
| SAVING |
0 |
0 |
22 |
593 |
0 |
1 |
55 |
1,157 |
| SLEEP75 |
1 |
14 |
81 |
2,733 |
3 |
35 |
210 |
5,914 |
| SLP75_81 |
0 |
0 |
0 |
330 |
0 |
0 |
29 |
825 |
| SMOKE |
2 |
6 |
54 |
2,093 |
3 |
15 |
177 |
4,454 |
| SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
1 |
12 |
522 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
2 |
16 |
0 |
0 |
20 |
69 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
1 |
72 |
0 |
0 |
17 |
218 |
| Simple Alternatives to the Common Correlated Effects Model |
0 |
0 |
2 |
63 |
0 |
1 |
12 |
46 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
1 |
912 |
1 |
2 |
30 |
1,977 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
0 |
2 |
24 |
29 |
| Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
9 |
353 |
| TRAFFIC1 |
0 |
0 |
2 |
324 |
0 |
0 |
34 |
957 |
| TRAFFIC2 |
0 |
0 |
1 |
471 |
0 |
1 |
32 |
1,316 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
1 |
1 |
3 |
11 |
2 |
4 |
19 |
47 |
| Twoyear |
0 |
0 |
0 |
485 |
0 |
3 |
31 |
1,116 |
| Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
0 |
1 |
32 |
752 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
47 |
0 |
1 |
31 |
115 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
10 |
0 |
0 |
14 |
54 |
| VOLAT |
0 |
0 |
0 |
242 |
0 |
1 |
23 |
1,281 |
| VOTE1 |
1 |
4 |
24 |
1,404 |
6 |
13 |
85 |
4,549 |
| VOTE2 |
0 |
0 |
1 |
358 |
0 |
5 |
39 |
1,564 |
| WAGE1 |
18 |
53 |
356 |
6,480 |
31 |
111 |
746 |
13,094 |
| WAGE2 |
3 |
16 |
131 |
4,881 |
10 |
61 |
358 |
10,088 |
| WAGEPAN |
1 |
8 |
50 |
2,251 |
2 |
25 |
159 |
4,818 |
| WAGEPRC |
0 |
1 |
1 |
355 |
1 |
2 |
31 |
1,045 |
| What Are We Weighting For? |
3 |
7 |
18 |
853 |
8 |
19 |
79 |
2,061 |
| What Estimators Are Unbiased For Linear Models? |
0 |
0 |
1 |
43 |
0 |
0 |
15 |
38 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
1 |
96 |
1 |
3 |
50 |
242 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
2 |
9 |
230 |
1 |
9 |
68 |
1,481 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
2 |
5 |
112 |
1 |
5 |
78 |
351 |
| Wine |
0 |
0 |
0 |
1,010 |
0 |
1 |
30 |
2,246 |
| Total Working Papers |
68 |
277 |
1,937 |
100,003 |
185 |
1,056 |
8,604 |
247,410 |
| Journal Article |
File Downloads |
Abstract Views |
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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 |
0 |
1 |
14 |
136 |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
0 |
26 |
0 |
1 |
9 |
68 |
| A Capital Asset Pricing Model with Time-Varying Covariances |
0 |
3 |
14 |
3,039 |
0 |
15 |
86 |
7,728 |
| A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
0 |
1 |
26 |
1 |
2 |
23 |
113 |
| A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
0 |
1 |
26 |
0 |
2 |
22 |
88 |
| A Simple Specification Test for the Predictive Ability of Transformation Models |
0 |
0 |
1 |
193 |
0 |
0 |
14 |
454 |
| A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
0 |
0 |
14 |
88 |
| A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
1 |
81 |
0 |
2 |
23 |
222 |
| A computational trick for delta-method standard errors |
0 |
0 |
4 |
776 |
0 |
2 |
20 |
1,595 |
| A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
2 |
5 |
272 |
0 |
10 |
30 |
718 |
| A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
1 |
2 |
9 |
353 |
4 |
9 |
62 |
904 |
| A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
2 |
288 |
1 |
4 |
21 |
567 |
| A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
0 |
0 |
379 |
0 |
2 |
10 |
2,245 |
| A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
0 |
0 |
9 |
285 |
| A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
0 |
100 |
1 |
2 |
20 |
247 |
| A simple reformulation of the common correlated effects model |
0 |
0 |
1 |
1 |
2 |
2 |
4 |
4 |
| A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
1 |
45 |
0 |
0 |
12 |
148 |
| A simple, robust test for choosing the level of fixed effects in linear panel data models |
1 |
4 |
15 |
33 |
7 |
18 |
75 |
149 |
| ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
1 |
2 |
9 |
99 |
| ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
1 |
55 |
0 |
2 |
20 |
185 |
| Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
1 |
2 |
2 |
2 |
4 |
29 |
31 |
| An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
1 |
1 |
8 |
36 |
| An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
0 |
0 |
10 |
195 |
| Applications of Generalized Method of Moments Estimation |
0 |
0 |
3 |
2,172 |
0 |
2 |
43 |
5,030 |
| Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
0 |
2 |
11 |
564 |
| Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format |
0 |
2 |
5 |
8 |
0 |
2 |
36 |
42 |
| Binary response panel data models with sample selection and self‐selection |
0 |
0 |
1 |
22 |
1 |
1 |
20 |
95 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
1 |
67 |
0 |
0 |
17 |
222 |
| Cluster-Sample Methods in Applied Econometrics |
0 |
1 |
5 |
757 |
2 |
6 |
40 |
1,881 |
| Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
0 |
1 |
9 |
2 |
4 |
39 |
65 |
| Control Function Methods in Applied Econometrics |
11 |
28 |
130 |
1,314 |
23 |
67 |
372 |
2,682 |
| Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
3 |
8 |
22 |
234 |
7 |
23 |
78 |
682 |
| Correlated random effects models with unbalanced panels |
4 |
15 |
58 |
496 |
8 |
36 |
194 |
1,359 |
| Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
2 |
2 |
9 |
18 |
5 |
9 |
48 |
66 |
| Difference-in-differences estimation (in Russian) |
1 |
1 |
2 |
275 |
3 |
5 |
27 |
574 |
| Distribution-free estimation of some nonlinear panel data models |
1 |
1 |
11 |
893 |
8 |
16 |
63 |
1,858 |
| Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
0 |
0 |
1 |
17 |
0 |
0 |
8 |
110 |
| Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
0 |
2 |
2 |
2 |
10 |
17 |
| Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
0 |
8 |
58 |
1,369 |
12 |
51 |
254 |
3,308 |
| Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
0 |
143 |
1 |
1 |
16 |
297 |
| Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
0 |
249 |
1 |
2 |
16 |
640 |
| Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
0 |
2 |
13 |
400 |
| Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth |
0 |
0 |
0 |
54 |
0 |
0 |
3 |
207 |
| Estimating panel data models in the presence of endogeneity and selection |
0 |
2 |
18 |
776 |
6 |
22 |
123 |
2,037 |
| Estimating systems of equations with different instruments for different equations |
0 |
0 |
4 |
203 |
0 |
2 |
20 |
507 |
| Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
0 |
2 |
11 |
205 |
| Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
0 |
0 |
3 |
413 |
0 |
1 |
20 |
1,075 |
| Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
1 |
6 |
21 |
868 |
6 |
22 |
76 |
1,838 |
| Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
0 |
1 |
2 |
264 |
0 |
2 |
10 |
474 |
| Heterogeneity and Heteroskedasticity in Endogenous Switching Models: Estimating the Effects of Physician Advice on Calorie Consumption |
0 |
2 |
5 |
5 |
1 |
5 |
51 |
51 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
0 |
14 |
0 |
0 |
8 |
95 |
| INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
1 |
4 |
268 |
1 |
3 |
18 |
444 |
| Improved estimation of dynamic models of conditional means and variances |
0 |
0 |
0 |
1 |
0 |
1 |
10 |
11 |
| Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
10 |
0 |
0 |
13 |
34 |
| Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
0 |
4 |
49 |
2 |
8 |
59 |
255 |
| Inverse probability weighted estimation for general missing data problems |
1 |
2 |
16 |
535 |
3 |
12 |
102 |
1,350 |
| Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
0 |
117 |
0 |
1 |
19 |
328 |
| Non linear correlated random effects models with endogeneity and unbalanced panels |
1 |
2 |
3 |
6 |
2 |
6 |
25 |
31 |
| Nonlinear Difference-in-Differences with Repeated Cross Sections |
0 |
6 |
6 |
6 |
1 |
9 |
9 |
9 |
| On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
1 |
2 |
16 |
83 |
| On estimating firm-level production functions using proxy variables to control for unobservables |
7 |
19 |
71 |
3,046 |
14 |
58 |
291 |
6,754 |
| On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
0 |
1 |
13 |
66 |
| On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
0 |
4 |
514 |
0 |
0 |
20 |
882 |
| On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
0 |
1 |
18 |
0 |
4 |
18 |
72 |
| On two stage least squares estimation of the average treatment effect in a random coefficient model |
0 |
0 |
2 |
440 |
0 |
2 |
22 |
1,308 |
| Panel data methods for fractional response variables with an application to test pass rates |
1 |
5 |
17 |
663 |
9 |
46 |
106 |
1,733 |
| Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
1 |
179 |
0 |
2 |
18 |
565 |
| Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
0 |
38 |
1 |
3 |
11 |
199 |
| Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
1 |
3 |
12 |
345 |
3 |
13 |
52 |
808 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
3 |
16 |
919 |
5 |
15 |
91 |
2,625 |
| Rejoinder |
0 |
0 |
0 |
6 |
0 |
0 |
4 |
25 |
| Revisiting regression adjustment in experiments with heterogeneous treatment effects |
1 |
3 |
5 |
100 |
5 |
9 |
29 |
261 |
| Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
1 |
1 |
1 |
1 |
4 |
4 |
18 |
21 |
| SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
1 |
2 |
58 |
2 |
4 |
20 |
165 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
1 |
3 |
44 |
2 |
6 |
33 |
218 |
| Selection corrections for panel data models under conditional mean independence assumptions |
0 |
3 |
14 |
2,015 |
2 |
9 |
48 |
3,556 |
| Should instrumental variables be used as matching variables? |
0 |
1 |
8 |
76 |
0 |
3 |
32 |
242 |
| Simple approaches to nonlinear difference-in-differences with panel data |
2 |
6 |
26 |
40 |
3 |
23 |
113 |
164 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
5 |
8 |
0 |
10 |
36 |
54 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
4 |
6 |
1,576 |
0 |
13 |
146 |
3,569 |
| Some Alternatives to the Box-Cox Regression Model |
0 |
0 |
4 |
393 |
0 |
0 |
13 |
1,658 |
| Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
0 |
3 |
112 |
0 |
0 |
10 |
229 |
| Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
0 |
315 |
0 |
0 |
17 |
548 |
| Statistical significance is okay, too: comment on "Size Matters" |
0 |
0 |
1 |
197 |
0 |
0 |
14 |
379 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
1 |
1 |
2 |
22 |
4 |
4 |
17 |
67 |
| Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators |
5 |
9 |
24 |
24 |
16 |
54 |
142 |
142 |
| Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
0 |
21 |
0 |
2 |
14 |
110 |
| Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
1 |
1 |
17 |
0 |
2 |
15 |
113 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
1 |
6 |
22 |
23 |
| VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
0 |
2 |
123 |
1 |
2 |
16 |
273 |
| What Are We Weighting For? |
6 |
16 |
46 |
746 |
20 |
45 |
180 |
2,034 |
| What is a standard error? (And how should we compute it?) |
3 |
3 |
17 |
101 |
5 |
7 |
46 |
204 |
| When Should You Adjust Standard Errors for Clustering? |
2 |
12 |
28 |
132 |
9 |
38 |
169 |
594 |
| Total Journal Articles |
57 |
193 |
775 |
30,150 |
224 |
795 |
4,238 |
74,892 |
|
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