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 |
0 |
10 |
31 |
1,463 |
4 |
26 |
96 |
3,870 |
| 401KSUBS |
1 |
2 |
26 |
1,166 |
6 |
12 |
71 |
2,784 |
| A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
1 |
1 |
7 |
279 |
| A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
4 |
7 |
14 |
150 |
| A Design-Based Approach to Spatial Correlation |
0 |
0 |
3 |
17 |
1 |
2 |
20 |
50 |
| A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
0 |
0 |
15 |
43 |
4 |
11 |
63 |
130 |
| A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
1 |
112 |
3 |
5 |
16 |
292 |
| A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
1 |
2 |
7 |
440 |
| A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
822 |
| A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
2 |
2 |
6 |
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 |
2 |
3 |
18 |
437 |
| AIRFARE |
0 |
2 |
21 |
1,157 |
2 |
11 |
75 |
2,950 |
| AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
5 |
7 |
16 |
233 |
| APPLE |
2 |
2 |
5 |
569 |
4 |
8 |
34 |
1,543 |
| ATHLET1 |
0 |
0 |
1 |
207 |
1 |
3 |
35 |
587 |
| ATHLET2 |
0 |
0 |
1 |
131 |
1 |
2 |
24 |
456 |
| ATTEND |
1 |
3 |
10 |
991 |
5 |
15 |
51 |
2,089 |
| AUDIT |
0 |
0 |
2 |
263 |
0 |
1 |
24 |
812 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
3 |
58 |
4 |
11 |
19 |
152 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
0 |
1 |
8 |
41 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
19 |
1 |
2 |
12 |
50 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
1 |
1 |
2 |
2 |
5 |
9 |
13 |
| Affairs |
0 |
0 |
3 |
981 |
1 |
4 |
24 |
2,076 |
| Aggregating Average Treatment Effects on the Treated in Difference-in-Differences Models |
0 |
2 |
46 |
46 |
1 |
12 |
77 |
77 |
| Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
1 |
7 |
38 |
3 |
5 |
31 |
89 |
| BARIUM |
0 |
0 |
1 |
394 |
1 |
4 |
28 |
1,007 |
| BWGHT |
13 |
32 |
114 |
3,198 |
36 |
90 |
277 |
7,610 |
| Binary Response Panel Data Models with Sample Selection and Self Selection |
0 |
0 |
1 |
108 |
0 |
28 |
55 |
261 |
| Bwght2 |
1 |
2 |
6 |
903 |
5 |
10 |
49 |
1,993 |
| CARD |
2 |
2 |
5 |
1,138 |
4 |
11 |
41 |
4,211 |
| CEMENT |
2 |
2 |
5 |
282 |
2 |
4 |
25 |
755 |
| CEOSAL1 |
6 |
11 |
55 |
2,795 |
9 |
28 |
134 |
5,566 |
| CEOSAL2 |
2 |
9 |
42 |
2,194 |
10 |
32 |
129 |
4,639 |
| CONSUMP |
1 |
2 |
3 |
368 |
2 |
8 |
44 |
1,989 |
| CORN |
1 |
1 |
3 |
156 |
3 |
5 |
26 |
703 |
| CORNWELL |
0 |
0 |
2 |
513 |
0 |
0 |
29 |
1,254 |
| CPS78_85 |
1 |
4 |
11 |
762 |
4 |
15 |
52 |
1,783 |
| CPS91 |
0 |
0 |
5 |
270 |
1 |
4 |
29 |
785 |
| CRIME1 |
1 |
3 |
13 |
1,379 |
4 |
13 |
56 |
2,860 |
| CRIME2 |
2 |
2 |
9 |
1,105 |
3 |
12 |
47 |
2,434 |
| CRIME3 |
0 |
0 |
0 |
314 |
2 |
4 |
24 |
805 |
| CRIME4 |
0 |
2 |
4 |
866 |
2 |
10 |
45 |
2,077 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
0 |
94 |
1 |
2 |
15 |
251 |
| Correlated random effects methods for panel data models with heterogeneous time effects |
3 |
9 |
27 |
348 |
11 |
28 |
97 |
1,009 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
1 |
2 |
2 |
0 |
2 |
12 |
12 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
0 |
1 |
1 |
0 |
2 |
10 |
10 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
1 |
2 |
21 |
53 |
4 |
22 |
69 |
129 |
| DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
4 |
8 |
29 |
539 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
0 |
38 |
4 |
6 |
17 |
121 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
7 |
95 |
4 |
24 |
190 |
1,050 |
| Determinants of Diversification of Urban Sahel Diets into Maize: A Contingent Valuation Study of Processed Maize Demand in Mali |
0 |
0 |
0 |
2 |
0 |
1 |
9 |
34 |
| Difference in difference for nonbinary treatments in Stata |
8 |
13 |
99 |
99 |
20 |
33 |
197 |
197 |
| Discrim |
1 |
1 |
22 |
1,092 |
3 |
7 |
57 |
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 |
1 |
11 |
150 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
2 |
5 |
13 |
3 |
9 |
35 |
77 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
1 |
2 |
7 |
48 |
7 |
10 |
44 |
95 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
1 |
4 |
2 |
7 |
21 |
58 |
| EARNS |
0 |
0 |
0 |
269 |
1 |
1 |
25 |
734 |
| EZANDERS |
0 |
1 |
2 |
272 |
1 |
5 |
29 |
637 |
| EZUNEM |
0 |
0 |
3 |
250 |
4 |
4 |
18 |
578 |
| Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
0 |
1 |
8 |
1,299 |
14 |
20 |
55 |
3,396 |
| Engin |
0 |
0 |
2 |
257 |
0 |
0 |
22 |
758 |
| Estimating Panel Data Models in the Presence of Endogeneity and Selection |
0 |
3 |
4 |
531 |
3 |
10 |
25 |
982 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
7 |
11 |
27 |
35 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
1 |
647 |
0 |
1 |
17 |
2,216 |
| Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
0 |
4 |
11 |
445 |
| Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
3 |
7 |
13 |
103 |
| FAIR |
0 |
1 |
1 |
170 |
1 |
2 |
23 |
421 |
| FERTIL1 |
0 |
1 |
21 |
1,172 |
1 |
3 |
60 |
2,196 |
| FERTIL2 |
2 |
4 |
16 |
1,304 |
12 |
25 |
63 |
2,885 |
| FERTIL3 |
0 |
1 |
7 |
587 |
1 |
6 |
40 |
1,181 |
| FRINGE |
0 |
0 |
0 |
499 |
2 |
8 |
24 |
1,341 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
3 |
5 |
21 |
339 |
| Fish |
1 |
1 |
1 |
451 |
1 |
4 |
24 |
1,078 |
| Fractional response models with endogeneous explanatory variables and heterogeneity |
0 |
2 |
12 |
1,214 |
2 |
11 |
53 |
2,412 |
| GPA1 |
1 |
2 |
59 |
1,392 |
2 |
11 |
128 |
2,722 |
| GPA2 |
1 |
3 |
18 |
1,355 |
4 |
14 |
64 |
3,055 |
| GPA3 |
0 |
1 |
3 |
912 |
3 |
6 |
36 |
2,882 |
| GROGGER |
1 |
7 |
11 |
593 |
1 |
11 |
35 |
1,475 |
| HPRICE1 |
3 |
13 |
50 |
2,789 |
15 |
42 |
155 |
5,343 |
| HPRICE2 |
2 |
2 |
26 |
1,028 |
5 |
11 |
71 |
2,313 |
| HPRICE3 |
1 |
4 |
10 |
487 |
4 |
10 |
46 |
1,242 |
| HSEINV |
0 |
0 |
6 |
348 |
0 |
3 |
36 |
860 |
| HTV |
0 |
0 |
3 |
425 |
1 |
1 |
34 |
1,364 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
4 |
5 |
18 |
150 |
| INFMRT |
0 |
3 |
6 |
205 |
1 |
5 |
27 |
515 |
| INJURY |
1 |
1 |
2 |
445 |
2 |
5 |
29 |
947 |
| INTDEF |
1 |
3 |
5 |
479 |
3 |
7 |
34 |
999 |
| INTQRT |
0 |
0 |
1 |
183 |
2 |
3 |
21 |
577 |
| INVEN |
1 |
1 |
1 |
169 |
2 |
6 |
33 |
2,057 |
| Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
2 |
4 |
14 |
51 |
| Inference for partial effects in nonlinear panel-data models using Stata |
0 |
0 |
1 |
764 |
1 |
3 |
12 |
1,131 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
0 |
1 |
606 |
2 |
5 |
22 |
1,896 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
2 |
3 |
5 |
6 |
10 |
25 |
33 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
0 |
493 |
2 |
6 |
13 |
1,632 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
2 |
6 |
4 |
10 |
16 |
25 |
| JTRAIN |
1 |
4 |
15 |
1,320 |
3 |
11 |
66 |
3,429 |
| JTRAIN2 |
2 |
7 |
19 |
1,143 |
5 |
18 |
57 |
2,785 |
| KEANE |
0 |
0 |
5 |
636 |
1 |
4 |
39 |
1,557 |
| KIELMC |
2 |
5 |
30 |
1,295 |
8 |
14 |
105 |
2,666 |
| LABSUP |
0 |
0 |
5 |
473 |
1 |
5 |
37 |
1,116 |
| LAWSCH85 |
1 |
2 |
7 |
804 |
3 |
8 |
38 |
1,779 |
| LOANAPP |
0 |
1 |
11 |
1,344 |
4 |
13 |
56 |
3,429 |
| LOWBRTH |
0 |
0 |
0 |
198 |
0 |
1 |
24 |
585 |
| MATHPNL |
1 |
1 |
4 |
403 |
4 |
8 |
34 |
947 |
| MEAP93 |
2 |
5 |
17 |
1,144 |
10 |
19 |
88 |
2,618 |
| MLB1 |
0 |
0 |
5 |
816 |
3 |
8 |
39 |
1,845 |
| MROZ |
8 |
23 |
88 |
3,522 |
23 |
60 |
247 |
8,493 |
| MURDER |
0 |
4 |
9 |
823 |
2 |
11 |
42 |
1,971 |
| More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
0 |
2 |
32 |
5 |
6 |
23 |
63 |
| NBASAL |
0 |
0 |
2 |
659 |
1 |
4 |
40 |
1,832 |
| NLS80 |
0 |
0 |
6 |
894 |
5 |
6 |
36 |
1,900 |
| NLS81_87 |
0 |
0 |
0 |
175 |
0 |
1 |
30 |
472 |
| NORWAY |
0 |
0 |
1 |
301 |
0 |
2 |
21 |
699 |
| NYSE |
0 |
0 |
1 |
400 |
0 |
1 |
20 |
1,189 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
0 |
1 |
9 |
0 |
6 |
13 |
28 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
3 |
12 |
59 |
6 |
20 |
58 |
162 |
| Nonlinear difference in differences with panel data |
0 |
2 |
18 |
368 |
2 |
9 |
41 |
684 |
| OPENNESS |
1 |
2 |
3 |
461 |
1 |
3 |
22 |
941 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
0 |
4 |
15 |
623 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
1 |
1 |
4 |
16 |
19 |
| PATENT |
0 |
0 |
0 |
373 |
0 |
2 |
20 |
827 |
| PENSION |
0 |
0 |
0 |
541 |
4 |
4 |
22 |
1,208 |
| PHILLIPS |
2 |
4 |
23 |
735 |
4 |
11 |
50 |
1,561 |
| PNTSPRD |
0 |
0 |
3 |
423 |
3 |
10 |
39 |
1,103 |
| PRISON |
0 |
0 |
2 |
592 |
2 |
4 |
24 |
1,604 |
| PRMINWGE |
0 |
0 |
1 |
286 |
0 |
1 |
31 |
628 |
| Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
3 |
5 |
131 |
4 |
21 |
37 |
251 |
| Q |
0 |
0 |
0 |
187 |
3 |
5 |
21 |
573 |
| Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
4 |
12 |
39 |
2,019 |
| RDCHEM |
1 |
4 |
12 |
786 |
4 |
11 |
53 |
1,833 |
| RECID |
0 |
0 |
4 |
474 |
2 |
3 |
31 |
1,813 |
| REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
0 |
5 |
13 |
204 |
| RENTAL |
0 |
1 |
6 |
732 |
5 |
9 |
42 |
1,366 |
| RETURN |
0 |
0 |
0 |
241 |
1 |
3 |
24 |
614 |
| Rdtelec |
0 |
0 |
0 |
135 |
1 |
2 |
32 |
399 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
4 |
368 |
9 |
12 |
41 |
861 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
1 |
6 |
890 |
10 |
13 |
44 |
2,178 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
9 |
194 |
12 |
20 |
44 |
616 |
| Recent developments in the econometrics of program evaluation |
0 |
0 |
4 |
336 |
12 |
15 |
40 |
904 |
| Relationships among recent difference-in-differences estimators and how to compute them in Stata |
1 |
7 |
74 |
248 |
4 |
13 |
99 |
330 |
| Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
2 |
29 |
1 |
2 |
13 |
67 |
| SAVING |
3 |
3 |
23 |
593 |
7 |
8 |
58 |
1,156 |
| SLEEP75 |
5 |
25 |
84 |
2,719 |
15 |
59 |
212 |
5,879 |
| SLP75_81 |
0 |
0 |
0 |
330 |
3 |
5 |
29 |
825 |
| SMOKE |
20 |
26 |
56 |
2,087 |
26 |
57 |
202 |
4,439 |
| SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
2 |
12 |
521 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
1 |
2 |
16 |
2 |
6 |
21 |
69 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
1 |
1 |
72 |
3 |
5 |
20 |
218 |
| Simple Alternatives to the Common Correlated Effects Model |
1 |
1 |
2 |
63 |
3 |
5 |
11 |
45 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
4 |
6 |
22 |
27 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
1 |
912 |
11 |
13 |
28 |
1,975 |
| Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
4 |
4 |
9 |
352 |
| TRAFFIC1 |
0 |
0 |
2 |
324 |
3 |
7 |
34 |
957 |
| TRAFFIC2 |
0 |
0 |
2 |
471 |
3 |
6 |
33 |
1,315 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
1 |
1 |
2 |
10 |
2 |
4 |
18 |
43 |
| Twoyear |
0 |
0 |
1 |
485 |
1 |
6 |
29 |
1,113 |
| Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
2 |
7 |
45 |
751 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
10 |
4 |
6 |
14 |
54 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
47 |
4 |
6 |
30 |
114 |
| VOLAT |
0 |
0 |
1 |
242 |
0 |
2 |
23 |
1,280 |
| VOTE1 |
3 |
5 |
26 |
1,400 |
7 |
17 |
92 |
4,536 |
| VOTE2 |
1 |
1 |
1 |
358 |
5 |
13 |
36 |
1,559 |
| WAGE1 |
33 |
81 |
358 |
6,427 |
65 |
192 |
739 |
12,983 |
| WAGE2 |
15 |
34 |
154 |
4,865 |
41 |
104 |
363 |
10,027 |
| WAGEPAN |
4 |
9 |
61 |
2,243 |
11 |
34 |
169 |
4,793 |
| WAGEPRC |
0 |
0 |
1 |
354 |
1 |
3 |
30 |
1,043 |
| What Are We Weighting For? |
1 |
3 |
19 |
846 |
10 |
17 |
89 |
2,042 |
| What Estimators Are Unbiased For Linear Models? |
0 |
0 |
2 |
43 |
3 |
8 |
16 |
38 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
2 |
7 |
228 |
12 |
19 |
62 |
1,472 |
| When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
5 |
110 |
6 |
20 |
82 |
346 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
2 |
96 |
8 |
10 |
52 |
239 |
| Wine |
0 |
0 |
0 |
1,010 |
1 |
2 |
29 |
2,245 |
| Total Working Papers |
178 |
460 |
2,164 |
99,726 |
773 |
1,981 |
8,666 |
246,354 |
| Journal Article |
File Downloads |
Abstract Views |
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Last month |
3 months |
12 months |
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| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model |
0 |
0 |
1 |
66 |
6 |
6 |
14 |
135 |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
0 |
26 |
3 |
4 |
8 |
67 |
| A Capital Asset Pricing Model with Time-Varying Covariances |
0 |
3 |
14 |
3,036 |
11 |
24 |
87 |
7,713 |
| A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
0 |
3 |
26 |
3 |
8 |
27 |
111 |
| A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
0 |
2 |
26 |
4 |
7 |
24 |
86 |
| A Simple Specification Test for the Predictive Ability of Transformation Models |
0 |
0 |
5 |
193 |
1 |
5 |
19 |
454 |
| A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
3 |
7 |
15 |
88 |
| A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
1 |
81 |
4 |
9 |
24 |
220 |
| A computational trick for delta-method standard errors |
0 |
1 |
4 |
776 |
4 |
9 |
19 |
1,593 |
| A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
1 |
6 |
270 |
4 |
11 |
28 |
708 |
| A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
0 |
1 |
8 |
351 |
6 |
12 |
60 |
895 |
| A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
2 |
288 |
1 |
4 |
18 |
563 |
| A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
0 |
2 |
379 |
1 |
2 |
11 |
2,243 |
| A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
4 |
5 |
9 |
285 |
| A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
0 |
100 |
3 |
4 |
20 |
245 |
| A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
1 |
45 |
3 |
5 |
13 |
148 |
| A simple, robust test for choosing the level of fixed effects in linear panel data models |
2 |
4 |
12 |
29 |
9 |
23 |
67 |
131 |
| ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
1 |
2 |
7 |
97 |
| ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
2 |
55 |
3 |
6 |
19 |
183 |
| Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
1 |
1 |
4 |
8 |
26 |
27 |
| An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
2 |
3 |
7 |
35 |
| An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
1 |
2 |
10 |
195 |
| Applications of Generalized Method of Moments Estimation |
2 |
2 |
6 |
2,172 |
5 |
9 |
49 |
5,028 |
| Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
5 |
6 |
9 |
562 |
| Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format |
0 |
1 |
6 |
6 |
2 |
9 |
40 |
40 |
| Binary response panel data models with sample selection and self‐selection |
0 |
0 |
1 |
22 |
6 |
8 |
20 |
94 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
1 |
67 |
2 |
2 |
21 |
222 |
| Cluster-Sample Methods in Applied Econometrics |
1 |
1 |
7 |
756 |
5 |
9 |
41 |
1,875 |
| Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
0 |
5 |
9 |
4 |
15 |
44 |
61 |
| Control Function Methods in Applied Econometrics |
9 |
28 |
140 |
1,286 |
30 |
102 |
392 |
2,615 |
| Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
1 |
4 |
19 |
226 |
13 |
25 |
71 |
659 |
| Correlated random effects models with unbalanced panels |
2 |
13 |
61 |
481 |
20 |
59 |
197 |
1,323 |
| Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
0 |
0 |
13 |
16 |
4 |
10 |
53 |
57 |
| Difference-in-differences estimation (in Russian) |
0 |
0 |
1 |
274 |
4 |
10 |
23 |
569 |
| Distribution-free estimation of some nonlinear panel data models |
4 |
8 |
16 |
892 |
14 |
25 |
65 |
1,842 |
| Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
0 |
0 |
1 |
17 |
2 |
3 |
11 |
110 |
| Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
1 |
2 |
0 |
1 |
11 |
15 |
| Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
4 |
12 |
61 |
1,361 |
29 |
65 |
237 |
3,257 |
| Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
0 |
143 |
2 |
2 |
17 |
296 |
| Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
0 |
249 |
1 |
2 |
16 |
638 |
| Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
3 |
5 |
12 |
398 |
| 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 |
1 |
26 |
774 |
11 |
32 |
133 |
2,015 |
| Estimating systems of equations with different instruments for different equations |
0 |
1 |
4 |
203 |
2 |
4 |
21 |
505 |
| Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
2 |
6 |
13 |
203 |
| Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
0 |
1 |
3 |
413 |
2 |
5 |
23 |
1,074 |
| Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
4 |
8 |
30 |
862 |
9 |
20 |
79 |
1,816 |
| Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
0 |
0 |
2 |
263 |
0 |
3 |
9 |
472 |
| Heterogeneity and Heteroskedasticity in Endogenous Switching Models: Estimating the Effects of Physician Advice on Calorie Consumption |
0 |
1 |
3 |
3 |
2 |
15 |
46 |
46 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
0 |
14 |
3 |
4 |
8 |
95 |
| INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
1 |
4 |
267 |
3 |
6 |
18 |
441 |
| Improved estimation of dynamic models of conditional means and variances |
0 |
0 |
1 |
1 |
2 |
2 |
10 |
10 |
| Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
10 |
1 |
3 |
14 |
34 |
| Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
2 |
6 |
49 |
7 |
20 |
62 |
247 |
| Inverse probability weighted estimation for general missing data problems |
1 |
3 |
19 |
533 |
4 |
32 |
99 |
1,338 |
| Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
0 |
117 |
5 |
9 |
19 |
327 |
| Non linear correlated random effects models with endogeneity and unbalanced panels |
0 |
0 |
2 |
4 |
6 |
8 |
20 |
25 |
| On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
3 |
6 |
14 |
81 |
| On estimating firm-level production functions using proxy variables to control for unobservables |
4 |
16 |
84 |
3,027 |
25 |
77 |
301 |
6,696 |
| On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
1 |
3 |
13 |
65 |
| On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
1 |
2 |
4 |
514 |
3 |
5 |
22 |
882 |
| On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
0 |
4 |
18 |
2 |
3 |
20 |
68 |
| On two stage least squares estimation of the average treatment effect in a random coefficient model |
1 |
1 |
3 |
440 |
2 |
6 |
22 |
1,306 |
| Panel data methods for fractional response variables with an application to test pass rates |
1 |
4 |
16 |
658 |
15 |
24 |
75 |
1,687 |
| Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
1 |
179 |
5 |
8 |
20 |
563 |
| Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
0 |
38 |
4 |
6 |
11 |
196 |
| Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
1 |
2 |
12 |
342 |
11 |
15 |
48 |
795 |
| Recent Developments in the Econometrics of Program Evaluation |
2 |
4 |
17 |
916 |
14 |
23 |
94 |
2,610 |
| Rejoinder |
0 |
0 |
0 |
6 |
2 |
2 |
5 |
25 |
| Revisiting regression adjustment in experiments with heterogeneous treatment effects |
1 |
2 |
7 |
97 |
2 |
9 |
27 |
252 |
| Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
0 |
0 |
0 |
0 |
6 |
9 |
17 |
17 |
| SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
1 |
1 |
57 |
3 |
9 |
17 |
161 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
4 |
43 |
4 |
8 |
32 |
212 |
| Selection corrections for panel data models under conditional mean independence assumptions |
2 |
4 |
17 |
2,012 |
6 |
13 |
52 |
3,547 |
| Should instrumental variables be used as matching variables? |
1 |
1 |
8 |
75 |
4 |
7 |
34 |
239 |
| Simple approaches to nonlinear difference-in-differences with panel data |
2 |
7 |
27 |
34 |
13 |
42 |
118 |
141 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
4 |
7 |
4 |
10 |
27 |
44 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
2 |
1,572 |
14 |
71 |
138 |
3,556 |
| Some Alternatives to the Box-Cox Regression Model |
0 |
4 |
5 |
393 |
2 |
9 |
14 |
1,658 |
| Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
1 |
4 |
112 |
0 |
3 |
11 |
229 |
| Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
1 |
315 |
3 |
5 |
18 |
548 |
| Statistical significance is okay, too: comment on "Size Matters" |
0 |
1 |
1 |
197 |
2 |
5 |
15 |
379 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
1 |
21 |
2 |
4 |
14 |
63 |
| Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators |
5 |
8 |
15 |
15 |
26 |
60 |
88 |
88 |
| Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
1 |
21 |
2 |
4 |
15 |
108 |
| Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
0 |
1 |
16 |
2 |
3 |
15 |
111 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
6 |
8 |
17 |
17 |
| VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
0 |
4 |
123 |
1 |
1 |
17 |
271 |
| What Are We Weighting For? |
3 |
11 |
41 |
730 |
13 |
35 |
162 |
1,989 |
| What is a standard error? (And how should we compute it?) |
0 |
3 |
20 |
98 |
4 |
10 |
53 |
197 |
| When Should You Adjust Standard Errors for Clustering? |
2 |
5 |
23 |
120 |
15 |
34 |
166 |
556 |
| Total Journal Articles |
56 |
175 |
832 |
29,956 |
512 |
1,239 |
4,150 |
74,095 |
|
|