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 |
7 |
43 |
1,453 |
29 |
46 |
104 |
3,844 |
| 401KSUBS |
2 |
12 |
33 |
1,164 |
20 |
39 |
76 |
2,772 |
| A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
4 |
5 |
6 |
278 |
| A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
1 |
3 |
7 |
143 |
| A Design-Based Approach to Spatial Correlation |
2 |
2 |
3 |
17 |
5 |
12 |
20 |
48 |
| A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
1 |
2 |
25 |
43 |
8 |
16 |
78 |
119 |
| A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
1 |
112 |
3 |
7 |
11 |
287 |
| A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
2 |
4 |
6 |
438 |
| A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
1 |
3 |
5 |
821 |
| A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
0 |
1 |
5 |
188 |
| A theoretical and empirical investigation of the Box-Cox model and a nonlinear least squares alternative |
0 |
0 |
0 |
89 |
3 |
6 |
7 |
186 |
| ADMNREV |
0 |
0 |
0 |
110 |
12 |
14 |
16 |
434 |
| AIRFARE |
2 |
3 |
27 |
1,155 |
29 |
36 |
87 |
2,939 |
| AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
6 |
8 |
9 |
226 |
| APPLE |
1 |
2 |
8 |
567 |
18 |
22 |
33 |
1,535 |
| ATHLET1 |
0 |
1 |
1 |
207 |
26 |
29 |
32 |
584 |
| ATHLET2 |
0 |
1 |
1 |
131 |
17 |
21 |
22 |
454 |
| ATTEND |
0 |
0 |
7 |
988 |
20 |
25 |
38 |
2,074 |
| AUDIT |
0 |
1 |
2 |
263 |
19 |
20 |
24 |
811 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
19 |
7 |
7 |
12 |
48 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
1 |
3 |
4 |
58 |
4 |
7 |
10 |
141 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
1 |
3 |
3 |
5 |
8 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
3 |
6 |
7 |
40 |
| Affairs |
0 |
0 |
5 |
981 |
12 |
16 |
24 |
2,072 |
| Aggregating Average Treatment Effects on the Treated in Difference-in-Differences Models |
1 |
12 |
44 |
44 |
6 |
30 |
65 |
65 |
| Another Look at the Linear Probability Model and Nonlinear Index Models |
1 |
2 |
6 |
37 |
6 |
14 |
28 |
84 |
| BARIUM |
0 |
0 |
3 |
394 |
16 |
20 |
27 |
1,003 |
| BWGHT |
7 |
35 |
123 |
3,166 |
26 |
79 |
255 |
7,520 |
| Binary Response Panel Data Models with Sample Selection and Self Selection |
1 |
1 |
2 |
108 |
20 |
24 |
29 |
233 |
| Bwght2 |
1 |
2 |
7 |
901 |
25 |
30 |
47 |
1,983 |
| CARD |
0 |
0 |
12 |
1,136 |
11 |
25 |
41 |
4,200 |
| CEMENT |
0 |
1 |
3 |
280 |
15 |
18 |
22 |
751 |
| CEOSAL1 |
4 |
14 |
52 |
2,784 |
24 |
48 |
123 |
5,538 |
| CEOSAL2 |
1 |
6 |
51 |
2,185 |
27 |
44 |
131 |
4,607 |
| CONSUMP |
0 |
0 |
2 |
366 |
32 |
34 |
37 |
1,981 |
| CORN |
0 |
1 |
2 |
155 |
17 |
20 |
21 |
698 |
| CORNWELL |
0 |
0 |
5 |
513 |
21 |
24 |
38 |
1,254 |
| CPS78_85 |
0 |
4 |
9 |
758 |
21 |
28 |
39 |
1,768 |
| CPS91 |
0 |
0 |
5 |
270 |
17 |
19 |
29 |
781 |
| CRIME1 |
1 |
5 |
12 |
1,376 |
20 |
31 |
49 |
2,847 |
| CRIME2 |
1 |
2 |
10 |
1,103 |
16 |
23 |
45 |
2,422 |
| CRIME3 |
0 |
0 |
0 |
314 |
19 |
19 |
20 |
801 |
| CRIME4 |
0 |
0 |
2 |
864 |
18 |
24 |
40 |
2,067 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
0 |
94 |
5 |
8 |
15 |
249 |
| Correlated random effects methods for panel data models with heterogeneous time effects |
3 |
4 |
22 |
339 |
17 |
31 |
85 |
981 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
3 |
12 |
20 |
51 |
9 |
26 |
51 |
107 |
| DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
10 |
15 |
21 |
531 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
0 |
38 |
9 |
9 |
11 |
115 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
3 |
8 |
95 |
28 |
95 |
170 |
1,026 |
| Determinants of Diversification of Urban Sahel Diets into Maize: A Contingent Valuation Study of Processed Maize Demand in Mali |
0 |
0 |
0 |
2 |
5 |
6 |
10 |
33 |
| Difference in difference for nonbinary treatments in Stata |
7 |
23 |
86 |
86 |
17 |
42 |
164 |
164 |
| Discrim |
0 |
3 |
22 |
1,091 |
12 |
20 |
52 |
2,832 |
| Does the Precision and Stability of Value-Added Estimates of Teacher Performance Depend on the Types of Students They Serve? |
0 |
0 |
0 |
47 |
7 |
9 |
10 |
149 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
3 |
11 |
4 |
11 |
30 |
68 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
0 |
3 |
6 |
11 |
20 |
51 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
5 |
46 |
9 |
17 |
36 |
85 |
| EARNS |
0 |
0 |
0 |
269 |
21 |
23 |
24 |
733 |
| EZANDERS |
0 |
0 |
5 |
271 |
20 |
21 |
30 |
632 |
| EZUNEM |
0 |
0 |
3 |
250 |
9 |
9 |
15 |
574 |
| Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
1 |
3 |
8 |
1,298 |
5 |
15 |
44 |
3,376 |
| Engin |
0 |
0 |
2 |
257 |
17 |
18 |
24 |
758 |
| Estimating Panel Data Models in the Presence of Endogeneity and Selection |
1 |
1 |
3 |
528 |
6 |
10 |
20 |
972 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
9 |
12 |
21 |
24 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
3 |
647 |
6 |
12 |
18 |
2,215 |
| Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
2 |
6 |
8 |
441 |
| Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
4 |
6 |
6 |
96 |
| FAIR |
0 |
0 |
0 |
169 |
18 |
21 |
21 |
419 |
| FERTIL1 |
3 |
7 |
30 |
1,171 |
21 |
37 |
72 |
2,193 |
| FERTIL2 |
0 |
5 |
20 |
1,300 |
14 |
24 |
53 |
2,860 |
| FERTIL3 |
0 |
1 |
10 |
586 |
15 |
21 |
42 |
1,175 |
| FRINGE |
0 |
0 |
1 |
499 |
13 |
15 |
20 |
1,333 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
5 |
9 |
20 |
334 |
| Fish |
0 |
0 |
0 |
450 |
19 |
20 |
23 |
1,074 |
| Fractional response models with endogeneous explanatory variables and heterogeneity |
1 |
4 |
10 |
1,212 |
7 |
18 |
48 |
2,401 |
| GPA1 |
0 |
8 |
62 |
1,390 |
25 |
46 |
130 |
2,711 |
| GPA2 |
1 |
4 |
20 |
1,352 |
17 |
30 |
62 |
3,041 |
| GPA3 |
0 |
0 |
4 |
911 |
15 |
20 |
34 |
2,876 |
| GROGGER |
0 |
1 |
6 |
586 |
15 |
21 |
29 |
1,464 |
| HPRICE1 |
1 |
11 |
48 |
2,776 |
32 |
58 |
141 |
5,301 |
| HPRICE2 |
0 |
6 |
29 |
1,026 |
18 |
33 |
71 |
2,302 |
| HPRICE3 |
0 |
3 |
10 |
483 |
20 |
24 |
44 |
1,232 |
| HSEINV |
0 |
0 |
8 |
348 |
19 |
23 |
36 |
857 |
| HTV |
0 |
2 |
8 |
425 |
23 |
28 |
42 |
1,363 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
7 |
11 |
13 |
145 |
| INFMRT |
0 |
2 |
3 |
202 |
16 |
20 |
22 |
510 |
| INJURY |
0 |
0 |
1 |
444 |
22 |
22 |
26 |
942 |
| INTDEF |
0 |
1 |
5 |
476 |
23 |
24 |
32 |
992 |
| INTQRT |
0 |
1 |
1 |
183 |
15 |
18 |
19 |
574 |
| INVEN |
0 |
0 |
0 |
168 |
22 |
25 |
27 |
2,051 |
| Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
5 |
8 |
10 |
47 |
| Inference for partial effects in nonlinear panel-data models using Stata |
0 |
0 |
1 |
764 |
3 |
6 |
10 |
1,128 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
1 |
2 |
3 |
2 |
13 |
16 |
23 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
1 |
2 |
606 |
10 |
13 |
18 |
1,891 |
| Inverse probability weighted estimation for general missing data problems |
0 |
1 |
3 |
6 |
0 |
4 |
9 |
15 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
0 |
493 |
6 |
6 |
7 |
1,626 |
| JTRAIN |
2 |
7 |
16 |
1,316 |
17 |
25 |
66 |
3,418 |
| JTRAIN2 |
1 |
5 |
15 |
1,136 |
20 |
27 |
45 |
2,767 |
| KEANE |
1 |
2 |
7 |
636 |
23 |
25 |
42 |
1,553 |
| KIELMC |
1 |
3 |
34 |
1,290 |
27 |
40 |
108 |
2,652 |
| LABSUP |
0 |
1 |
8 |
473 |
20 |
23 |
40 |
1,111 |
| LAWSCH85 |
1 |
3 |
10 |
802 |
17 |
24 |
43 |
1,771 |
| LOANAPP |
0 |
1 |
16 |
1,343 |
18 |
26 |
63 |
3,416 |
| LOWBRTH |
0 |
0 |
0 |
198 |
19 |
20 |
24 |
584 |
| MATHPNL |
0 |
0 |
7 |
402 |
19 |
21 |
31 |
939 |
| MEAP93 |
0 |
3 |
25 |
1,139 |
33 |
40 |
97 |
2,599 |
| MLB1 |
0 |
2 |
11 |
816 |
16 |
23 |
41 |
1,837 |
| MROZ |
2 |
20 |
101 |
3,499 |
46 |
87 |
261 |
8,433 |
| MURDER |
1 |
2 |
10 |
819 |
18 |
21 |
38 |
1,960 |
| More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
0 |
2 |
32 |
4 |
6 |
18 |
57 |
| NBASAL |
0 |
2 |
4 |
659 |
20 |
24 |
42 |
1,828 |
| NLS80 |
0 |
1 |
6 |
894 |
13 |
19 |
32 |
1,894 |
| NLS81_87 |
0 |
0 |
1 |
175 |
25 |
28 |
31 |
471 |
| NORWAY |
0 |
0 |
1 |
301 |
16 |
18 |
19 |
697 |
| NYSE |
0 |
1 |
1 |
400 |
15 |
19 |
21 |
1,188 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
1 |
1 |
10 |
56 |
9 |
18 |
42 |
142 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
0 |
2 |
9 |
0 |
4 |
9 |
22 |
| Nonlinear difference in differences with panel data |
2 |
3 |
20 |
366 |
5 |
8 |
39 |
675 |
| OPENNESS |
0 |
1 |
2 |
459 |
15 |
17 |
22 |
938 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
1 |
1 |
7 |
9 |
13 |
15 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
4 |
8 |
11 |
619 |
| PATENT |
0 |
0 |
0 |
373 |
17 |
17 |
18 |
825 |
| PENSION |
0 |
0 |
1 |
541 |
14 |
16 |
22 |
1,204 |
| PHILLIPS |
0 |
2 |
21 |
731 |
11 |
18 |
43 |
1,550 |
| PNTSPRD |
0 |
0 |
7 |
423 |
16 |
18 |
38 |
1,093 |
| PRISON |
0 |
0 |
2 |
592 |
15 |
17 |
24 |
1,600 |
| PRMINWGE |
0 |
0 |
1 |
286 |
27 |
28 |
33 |
627 |
| Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
0 |
4 |
128 |
4 |
9 |
19 |
230 |
| Q |
0 |
0 |
1 |
187 |
13 |
15 |
18 |
568 |
| Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
12 |
20 |
31 |
2,007 |
| RDCHEM |
0 |
4 |
9 |
782 |
20 |
28 |
51 |
1,822 |
| RECID |
0 |
3 |
4 |
474 |
15 |
21 |
30 |
1,810 |
| REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
8 |
8 |
9 |
199 |
| RENTAL |
0 |
1 |
9 |
731 |
24 |
26 |
40 |
1,357 |
| RETURN |
0 |
0 |
0 |
241 |
19 |
21 |
21 |
611 |
| Rdtelec |
0 |
0 |
0 |
135 |
26 |
29 |
30 |
397 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
5 |
889 |
9 |
14 |
35 |
2,165 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
2 |
9 |
192 |
5 |
11 |
33 |
596 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
3 |
367 |
2 |
18 |
34 |
849 |
| Recent developments in the econometrics of program evaluation |
0 |
2 |
4 |
336 |
8 |
15 |
27 |
889 |
| Relationships among recent difference-in-differences estimators and how to compute them in Stata |
3 |
10 |
101 |
241 |
6 |
18 |
131 |
317 |
| Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
2 |
29 |
4 |
6 |
12 |
65 |
| SAVING |
2 |
11 |
53 |
590 |
22 |
34 |
88 |
1,148 |
| SLEEP75 |
3 |
24 |
101 |
2,694 |
22 |
71 |
219 |
5,820 |
| SLP75_81 |
0 |
0 |
0 |
330 |
20 |
23 |
24 |
820 |
| SMOKE |
0 |
16 |
115 |
2,061 |
36 |
73 |
271 |
4,382 |
| SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
5 |
7 |
11 |
519 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
1 |
1 |
15 |
4 |
11 |
18 |
63 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
0 |
71 |
5 |
10 |
16 |
213 |
| Simple Alternatives to the Common Correlated Effects Model |
0 |
0 |
1 |
62 |
3 |
3 |
9 |
40 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
5 |
12 |
18 |
21 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
911 |
1 |
8 |
15 |
1,962 |
| Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
4 |
4 |
5 |
348 |
| TRAFFIC1 |
0 |
2 |
2 |
324 |
25 |
27 |
29 |
950 |
| TRAFFIC2 |
0 |
1 |
3 |
471 |
19 |
25 |
28 |
1,309 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
1 |
9 |
4 |
8 |
16 |
39 |
| Twoyear |
0 |
0 |
7 |
485 |
19 |
21 |
32 |
1,107 |
| Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
3 |
13 |
71 |
744 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
1 |
1 |
1 |
47 |
16 |
24 |
25 |
108 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
1 |
1 |
10 |
3 |
6 |
9 |
48 |
| VOLAT |
0 |
0 |
2 |
242 |
17 |
17 |
26 |
1,278 |
| VOTE1 |
1 |
6 |
27 |
1,395 |
15 |
35 |
101 |
4,519 |
| VOTE2 |
0 |
0 |
0 |
357 |
19 |
20 |
24 |
1,546 |
| WAGE1 |
35 |
107 |
371 |
6,346 |
87 |
242 |
690 |
12,791 |
| WAGE2 |
4 |
34 |
170 |
4,831 |
39 |
104 |
357 |
9,923 |
| WAGEPAN |
1 |
16 |
66 |
2,234 |
31 |
71 |
160 |
4,759 |
| WAGEPRC |
0 |
0 |
2 |
354 |
22 |
25 |
29 |
1,040 |
| What Are We Weighting For? |
2 |
4 |
25 |
843 |
11 |
26 |
105 |
2,025 |
| What Estimators Are Unbiased For Linear Models? |
1 |
1 |
2 |
43 |
1 |
6 |
9 |
30 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
3 |
96 |
8 |
25 |
43 |
229 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
2 |
6 |
226 |
7 |
28 |
49 |
1,453 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
109 |
16 |
30 |
65 |
326 |
| Wine |
0 |
0 |
0 |
1,010 |
20 |
26 |
28 |
2,243 |
| Total Working Papers |
117 |
538 |
2,441 |
99,264 |
2,483 |
3,948 |
8,199 |
244,355 |
| 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 |
3 |
6 |
8 |
129 |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
1 |
26 |
3 |
4 |
5 |
63 |
| A Capital Asset Pricing Model with Time-Varying Covariances |
2 |
6 |
17 |
3,033 |
13 |
33 |
84 |
7,689 |
| A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
1 |
4 |
26 |
6 |
10 |
21 |
103 |
| A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
0 |
4 |
26 |
6 |
9 |
23 |
79 |
| A Simple Specification Test for the Predictive Ability of Transformation Models |
1 |
1 |
7 |
193 |
5 |
7 |
17 |
449 |
| A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
3 |
5 |
9 |
81 |
| A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
1 |
81 |
5 |
9 |
15 |
211 |
| A computational trick for delta-method standard errors |
0 |
2 |
4 |
775 |
3 |
6 |
12 |
1,584 |
| A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
1 |
6 |
269 |
4 |
8 |
19 |
697 |
| A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
2 |
4 |
10 |
350 |
14 |
32 |
51 |
883 |
| A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
2 |
288 |
3 |
6 |
14 |
559 |
| A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
0 |
2 |
379 |
4 |
4 |
12 |
2,241 |
| A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
3 |
4 |
4 |
280 |
| A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
0 |
100 |
8 |
14 |
16 |
241 |
| A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
1 |
45 |
2 |
6 |
9 |
143 |
| A simple, robust test for choosing the level of fixed effects in linear panel data models |
0 |
3 |
12 |
25 |
9 |
23 |
54 |
108 |
| ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
3 |
5 |
5 |
95 |
| ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
3 |
55 |
2 |
10 |
17 |
177 |
| Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
1 |
1 |
1 |
1 |
7 |
10 |
19 |
19 |
| An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
3 |
4 |
6 |
32 |
| An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
4 |
7 |
9 |
193 |
| Applications of Generalized Method of Moments Estimation |
0 |
0 |
7 |
2,170 |
9 |
19 |
44 |
5,019 |
| Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
556 |
| Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format |
0 |
1 |
5 |
5 |
6 |
20 |
31 |
31 |
| Binary response panel data models with sample selection and self‐selection |
0 |
1 |
1 |
22 |
3 |
6 |
12 |
86 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
1 |
3 |
67 |
6 |
12 |
21 |
220 |
| Cluster-Sample Methods in Applied Econometrics |
0 |
2 |
8 |
755 |
4 |
15 |
71 |
1,866 |
| Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
1 |
7 |
9 |
9 |
18 |
37 |
46 |
| Control Function Methods in Applied Econometrics |
19 |
45 |
137 |
1,258 |
61 |
125 |
336 |
2,513 |
| Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
2 |
6 |
20 |
222 |
6 |
16 |
56 |
634 |
| Correlated random effects models with unbalanced panels |
8 |
21 |
55 |
468 |
26 |
63 |
158 |
1,264 |
| Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
1 |
2 |
16 |
16 |
7 |
14 |
47 |
47 |
| Difference-in-differences estimation (in Russian) |
0 |
0 |
1 |
274 |
3 |
6 |
15 |
559 |
| Distribution-free estimation of some nonlinear panel data models |
0 |
1 |
14 |
884 |
4 |
13 |
55 |
1,817 |
| Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
1 |
1 |
1 |
17 |
1 |
3 |
9 |
107 |
| Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
1 |
2 |
4 |
5 |
11 |
14 |
| Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
2 |
17 |
60 |
1,349 |
24 |
83 |
194 |
3,192 |
| Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
1 |
143 |
8 |
12 |
18 |
294 |
| Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
2 |
249 |
4 |
11 |
16 |
636 |
| Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
4 |
4 |
7 |
393 |
| Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth |
0 |
0 |
1 |
54 |
0 |
2 |
4 |
207 |
| Estimating panel data models in the presence of endogeneity and selection |
2 |
6 |
34 |
773 |
19 |
41 |
124 |
1,983 |
| Estimating systems of equations with different instruments for different equations |
0 |
0 |
4 |
202 |
6 |
6 |
18 |
501 |
| Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
3 |
3 |
9 |
197 |
| Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
1 |
1 |
3 |
412 |
6 |
9 |
20 |
1,069 |
| Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
1 |
4 |
29 |
854 |
12 |
20 |
79 |
1,796 |
| Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
0 |
1 |
3 |
263 |
4 |
5 |
8 |
469 |
| Heterogeneity and Heteroskedasticity in Endogenous Switching Models: Estimating the Effects of Physician Advice on Calorie Consumption |
0 |
0 |
2 |
2 |
3 |
23 |
31 |
31 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
0 |
14 |
4 |
4 |
5 |
91 |
| INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
1 |
7 |
266 |
2 |
7 |
16 |
435 |
| Improved estimation of dynamic models of conditional means and variances |
0 |
0 |
1 |
1 |
4 |
6 |
8 |
8 |
| Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
10 |
2 |
7 |
13 |
31 |
| Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
1 |
6 |
47 |
12 |
24 |
50 |
227 |
| Inverse probability weighted estimation for general missing data problems |
2 |
8 |
22 |
530 |
25 |
41 |
79 |
1,306 |
| Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
0 |
117 |
5 |
9 |
11 |
318 |
| Non linear correlated random effects models with endogeneity and unbalanced panels |
0 |
1 |
3 |
4 |
3 |
9 |
13 |
17 |
| On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
4 |
5 |
9 |
75 |
| On estimating firm-level production functions using proxy variables to control for unobservables |
9 |
23 |
90 |
3,011 |
46 |
95 |
291 |
6,619 |
| On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
6 |
8 |
13 |
62 |
| On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
1 |
3 |
512 |
4 |
10 |
19 |
877 |
| On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
0 |
4 |
18 |
6 |
7 |
18 |
65 |
| On two stage least squares estimation of the average treatment effect in a random coefficient model |
1 |
1 |
3 |
439 |
7 |
13 |
22 |
1,300 |
| Panel data methods for fractional response variables with an application to test pass rates |
2 |
5 |
14 |
654 |
10 |
22 |
55 |
1,663 |
| Partial maximum likelihood estimation of spatial probit models |
1 |
1 |
1 |
179 |
6 |
6 |
13 |
555 |
| Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
0 |
38 |
1 |
2 |
5 |
190 |
| Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
0 |
0 |
18 |
340 |
5 |
9 |
49 |
780 |
| Recent Developments in the Econometrics of Program Evaluation |
2 |
5 |
21 |
912 |
15 |
34 |
92 |
2,587 |
| Rejoinder |
0 |
0 |
0 |
6 |
1 |
1 |
3 |
23 |
| Revisiting regression adjustment in experiments with heterogeneous treatment effects |
0 |
0 |
13 |
95 |
3 |
11 |
31 |
243 |
| Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
0 |
0 |
0 |
0 |
4 |
5 |
8 |
8 |
| SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
0 |
0 |
56 |
3 |
6 |
9 |
152 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
4 |
43 |
4 |
14 |
26 |
204 |
| Selection corrections for panel data models under conditional mean independence assumptions |
1 |
3 |
16 |
2,008 |
4 |
13 |
50 |
3,534 |
| Should instrumental variables be used as matching variables? |
0 |
1 |
8 |
74 |
5 |
12 |
28 |
232 |
| Simple approaches to nonlinear difference-in-differences with panel data |
1 |
6 |
23 |
27 |
7 |
32 |
84 |
99 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
4 |
6 |
2 |
9 |
19 |
34 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
1 |
1 |
3 |
1,572 |
53 |
57 |
75 |
3,485 |
| Some Alternatives to the Box-Cox Regression Model |
0 |
0 |
2 |
389 |
1 |
2 |
8 |
1,649 |
| Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
0 |
4 |
111 |
4 |
5 |
10 |
226 |
| Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
2 |
315 |
5 |
8 |
14 |
543 |
| Statistical significance is okay, too: comment on "Size Matters" |
0 |
0 |
0 |
196 |
5 |
9 |
10 |
374 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
1 |
1 |
21 |
2 |
6 |
10 |
59 |
| Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
5 |
21 |
4 |
8 |
16 |
104 |
| Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
0 |
1 |
16 |
7 |
8 |
15 |
108 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
3 |
5 |
9 |
9 |
| VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
1 |
6 |
123 |
4 |
9 |
18 |
270 |
| What Are We Weighting For? |
3 |
8 |
44 |
719 |
19 |
64 |
160 |
1,954 |
| What is a standard error? (And how should we compute it?) |
1 |
6 |
19 |
95 |
7 |
19 |
50 |
187 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
3 |
30 |
115 |
11 |
56 |
173 |
522 |
| Total Journal Articles |
67 |
208 |
870 |
29,774 |
681 |
1,455 |
3,470 |
72,828 |
|
|