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 |
5 |
30 |
1,465 |
3 |
16 |
95 |
3,873 |
| 401KSUBS |
0 |
1 |
26 |
1,166 |
3 |
10 |
74 |
2,787 |
| A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
1 |
2 |
8 |
280 |
| A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
0 |
5 |
13 |
150 |
| A Design-Based Approach to Spatial Correlation |
0 |
0 |
3 |
17 |
1 |
2 |
20 |
51 |
| A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
1 |
1 |
14 |
44 |
17 |
24 |
72 |
147 |
| A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
1 |
112 |
3 |
6 |
19 |
295 |
| A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
0 |
2 |
7 |
440 |
| A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
822 |
| A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
0 |
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 |
0 |
2 |
18 |
437 |
| AIRFARE |
3 |
3 |
16 |
1,160 |
5 |
12 |
69 |
2,955 |
| AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
1 |
7 |
17 |
234 |
| APPLE |
1 |
3 |
6 |
570 |
1 |
9 |
35 |
1,544 |
| ATHLET1 |
0 |
0 |
1 |
207 |
0 |
2 |
33 |
587 |
| ATHLET2 |
0 |
0 |
1 |
131 |
0 |
1 |
24 |
456 |
| ATTEND |
3 |
4 |
10 |
994 |
5 |
15 |
52 |
2,094 |
| 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 |
1 |
2 |
9 |
42 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
3 |
58 |
1 |
10 |
19 |
153 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
19 |
0 |
2 |
12 |
50 |
| Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
1 |
1 |
2 |
0 |
3 |
9 |
13 |
| Affairs |
1 |
1 |
4 |
982 |
1 |
4 |
25 |
2,077 |
| Aggregating Average Treatment Effects on the Treated in Difference-in-Differences Models |
1 |
2 |
47 |
47 |
5 |
10 |
82 |
82 |
| Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
1 |
5 |
38 |
1 |
5 |
29 |
90 |
| BARIUM |
0 |
0 |
1 |
394 |
1 |
3 |
29 |
1,008 |
| BWGHT |
5 |
28 |
117 |
3,203 |
13 |
76 |
283 |
7,623 |
| Binary Response Panel Data Models with Sample Selection and Self Selection |
0 |
0 |
1 |
108 |
3 |
20 |
57 |
264 |
| Bwght2 |
0 |
1 |
6 |
903 |
0 |
8 |
49 |
1,993 |
| CARD |
0 |
2 |
2 |
1,138 |
1 |
11 |
39 |
4,212 |
| CEMENT |
0 |
2 |
5 |
282 |
0 |
2 |
25 |
755 |
| CEOSAL1 |
1 |
10 |
51 |
2,796 |
4 |
28 |
127 |
5,570 |
| CEOSAL2 |
4 |
9 |
40 |
2,198 |
5 |
24 |
124 |
4,644 |
| CONSUMP |
1 |
3 |
4 |
369 |
2 |
7 |
45 |
1,991 |
| CORN |
0 |
1 |
2 |
156 |
0 |
3 |
25 |
703 |
| CORNWELL |
0 |
0 |
0 |
513 |
3 |
3 |
29 |
1,257 |
| CPS78_85 |
0 |
2 |
10 |
762 |
4 |
13 |
55 |
1,787 |
| CPS91 |
1 |
1 |
4 |
271 |
1 |
5 |
28 |
786 |
| CRIME1 |
1 |
3 |
13 |
1,380 |
1 |
9 |
54 |
2,861 |
| CRIME2 |
1 |
3 |
8 |
1,106 |
3 |
13 |
47 |
2,437 |
| CRIME3 |
0 |
0 |
0 |
314 |
0 |
2 |
24 |
805 |
| CRIME4 |
0 |
1 |
2 |
866 |
1 |
8 |
42 |
2,078 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
0 |
94 |
0 |
1 |
15 |
251 |
| Correlated random effects methods for panel data models with heterogeneous time effects |
3 |
10 |
27 |
351 |
73 |
92 |
162 |
1,082 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
1 |
3 |
22 |
54 |
5 |
20 |
71 |
134 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
0 |
1 |
1 |
0 |
1 |
10 |
10 |
| Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
1 |
2 |
2 |
2 |
4 |
14 |
14 |
| DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
2 |
6 |
29 |
541 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
5 |
95 |
3 |
13 |
191 |
1,053 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
0 |
38 |
1 |
6 |
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 |
13 |
102 |
102 |
9 |
34 |
206 |
206 |
| Discrim |
0 |
1 |
22 |
1,092 |
0 |
4 |
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 |
2 |
12 |
151 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
2 |
5 |
13 |
4 |
12 |
37 |
81 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
1 |
4 |
1 |
6 |
22 |
59 |
| Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
7 |
48 |
1 |
9 |
44 |
96 |
| EARNS |
0 |
0 |
0 |
269 |
0 |
1 |
25 |
734 |
| EZANDERS |
0 |
0 |
2 |
272 |
0 |
2 |
29 |
637 |
| EZUNEM |
0 |
0 |
3 |
250 |
2 |
6 |
19 |
580 |
| Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
0 |
0 |
6 |
1,299 |
3 |
19 |
54 |
3,399 |
| Engin |
0 |
0 |
2 |
257 |
0 |
0 |
22 |
758 |
| Estimating Panel Data Models in the Presence of Endogeneity and Selection |
1 |
3 |
5 |
532 |
4 |
13 |
29 |
986 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
2 |
12 |
28 |
37 |
| Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
1 |
647 |
0 |
0 |
16 |
2,216 |
| Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
0 |
2 |
10 |
445 |
| Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
0 |
3 |
13 |
103 |
| FAIR |
0 |
1 |
1 |
170 |
0 |
2 |
23 |
421 |
| FERTIL1 |
1 |
2 |
15 |
1,173 |
3 |
5 |
55 |
2,199 |
| FERTIL2 |
0 |
2 |
14 |
1,304 |
0 |
17 |
59 |
2,885 |
| FERTIL3 |
0 |
0 |
6 |
587 |
1 |
4 |
39 |
1,182 |
| FRINGE |
0 |
0 |
0 |
499 |
0 |
3 |
24 |
1,341 |
| Finite Population Causal Standard Errors |
0 |
0 |
0 |
144 |
3 |
6 |
24 |
342 |
| Fish |
0 |
1 |
1 |
451 |
0 |
3 |
24 |
1,078 |
| Fractional response models with endogeneous explanatory variables and heterogeneity |
1 |
2 |
12 |
1,215 |
3 |
8 |
53 |
2,415 |
| GPA1 |
2 |
4 |
18 |
1,394 |
2 |
9 |
79 |
2,724 |
| GPA2 |
3 |
5 |
12 |
1,358 |
4 |
10 |
54 |
3,059 |
| GPA3 |
3 |
3 |
6 |
915 |
3 |
7 |
36 |
2,885 |
| GROGGER |
1 |
2 |
10 |
594 |
1 |
3 |
34 |
1,476 |
| HPRICE1 |
3 |
11 |
44 |
2,792 |
9 |
38 |
147 |
5,352 |
| HPRICE2 |
3 |
5 |
25 |
1,031 |
10 |
20 |
76 |
2,323 |
| HPRICE3 |
0 |
3 |
10 |
487 |
0 |
7 |
44 |
1,242 |
| HSEINV |
0 |
0 |
5 |
348 |
0 |
3 |
32 |
860 |
| HTV |
0 |
0 |
3 |
425 |
1 |
2 |
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 |
1 |
5 |
19 |
151 |
| INFMRT |
0 |
2 |
6 |
205 |
0 |
3 |
27 |
515 |
| INJURY |
0 |
1 |
2 |
445 |
1 |
4 |
30 |
948 |
| INTDEF |
0 |
3 |
5 |
479 |
0 |
7 |
34 |
999 |
| INTQRT |
0 |
0 |
1 |
183 |
0 |
2 |
21 |
577 |
| INVEN |
0 |
1 |
1 |
169 |
0 |
3 |
33 |
2,057 |
| Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
0 |
2 |
14 |
51 |
| Inference for partial effects in nonlinear panel-data models using Stata |
0 |
0 |
1 |
764 |
1 |
3 |
12 |
1,132 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
0 |
1 |
606 |
1 |
4 |
22 |
1,897 |
| Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
3 |
4 |
6 |
1 |
9 |
26 |
34 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
0 |
493 |
0 |
2 |
13 |
1,632 |
| Inverse probability weighted estimation for general missing data problems |
0 |
0 |
2 |
6 |
0 |
5 |
16 |
25 |
| JTRAIN |
3 |
6 |
17 |
1,323 |
4 |
11 |
61 |
3,433 |
| JTRAIN2 |
1 |
6 |
20 |
1,144 |
3 |
14 |
60 |
2,788 |
| KEANE |
2 |
2 |
6 |
638 |
5 |
7 |
39 |
1,562 |
| KIELMC |
1 |
6 |
25 |
1,296 |
4 |
15 |
96 |
2,670 |
| LABSUP |
1 |
1 |
2 |
474 |
1 |
5 |
33 |
1,117 |
| LAWSCH85 |
0 |
1 |
7 |
804 |
0 |
5 |
36 |
1,779 |
| LOANAPP |
2 |
3 |
9 |
1,346 |
4 |
11 |
55 |
3,433 |
| LOWBRTH |
0 |
0 |
0 |
198 |
1 |
1 |
25 |
586 |
| MATHPNL |
0 |
1 |
2 |
403 |
5 |
11 |
37 |
952 |
| MEAP93 |
0 |
3 |
15 |
1,144 |
3 |
16 |
89 |
2,621 |
| MLB1 |
0 |
0 |
5 |
816 |
1 |
7 |
38 |
1,846 |
| MROZ |
13 |
31 |
99 |
3,535 |
35 |
82 |
267 |
8,528 |
| MURDER |
0 |
3 |
8 |
823 |
0 |
7 |
40 |
1,971 |
| More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
0 |
2 |
32 |
3 |
8 |
26 |
66 |
| NBASAL |
0 |
0 |
2 |
659 |
1 |
3 |
38 |
1,833 |
| NLS80 |
0 |
0 |
6 |
894 |
0 |
6 |
33 |
1,900 |
| NLS81_87 |
0 |
0 |
0 |
175 |
0 |
0 |
30 |
472 |
| NORWAY |
0 |
0 |
1 |
301 |
0 |
0 |
21 |
699 |
| NYSE |
0 |
0 |
1 |
400 |
0 |
0 |
20 |
1,189 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
1 |
1 |
2 |
10 |
2 |
3 |
15 |
30 |
| Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
0 |
0 |
12 |
59 |
5 |
20 |
61 |
167 |
| Nonlinear difference in differences with panel data |
0 |
0 |
14 |
368 |
3 |
7 |
37 |
687 |
| OPENNESS |
0 |
2 |
3 |
461 |
0 |
2 |
22 |
941 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
1 |
0 |
3 |
15 |
19 |
| On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
0 |
3 |
14 |
623 |
| PATENT |
0 |
0 |
0 |
373 |
1 |
2 |
21 |
828 |
| PENSION |
0 |
0 |
0 |
541 |
0 |
4 |
21 |
1,208 |
| PHILLIPS |
1 |
4 |
10 |
736 |
4 |
11 |
38 |
1,565 |
| PNTSPRD |
1 |
1 |
1 |
424 |
1 |
8 |
37 |
1,104 |
| PRISON |
0 |
0 |
1 |
592 |
0 |
2 |
23 |
1,604 |
| PRMINWGE |
0 |
0 |
0 |
286 |
0 |
0 |
30 |
628 |
| Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
3 |
5 |
131 |
0 |
19 |
37 |
251 |
| Q |
0 |
0 |
0 |
187 |
0 |
4 |
21 |
573 |
| Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
5 |
12 |
43 |
2,024 |
| RDCHEM |
0 |
1 |
11 |
786 |
0 |
6 |
48 |
1,833 |
| RECID |
0 |
0 |
3 |
474 |
2 |
4 |
28 |
1,815 |
| REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
1 |
1 |
14 |
205 |
| RENTAL |
1 |
2 |
4 |
733 |
2 |
10 |
39 |
1,368 |
| RETURN |
0 |
0 |
0 |
241 |
0 |
1 |
24 |
614 |
| Rdtelec |
0 |
0 |
0 |
135 |
0 |
1 |
31 |
399 |
| Recent Developments in the Econometrics of Program Evaluation |
1 |
1 |
9 |
195 |
3 |
17 |
46 |
619 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
4 |
368 |
0 |
12 |
40 |
861 |
| Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
6 |
890 |
0 |
12 |
43 |
2,178 |
| Recent developments in the econometrics of program evaluation |
0 |
0 |
3 |
336 |
1 |
14 |
40 |
905 |
| Relationships among recent difference-in-differences estimators and how to compute them in Stata |
1 |
5 |
61 |
249 |
2 |
10 |
84 |
332 |
| Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
1 |
29 |
0 |
1 |
12 |
67 |
| SAVING |
0 |
3 |
22 |
593 |
1 |
9 |
56 |
1,157 |
| SLEEP75 |
5 |
23 |
78 |
2,724 |
19 |
60 |
207 |
5,898 |
| SLP75_81 |
0 |
0 |
0 |
330 |
0 |
3 |
29 |
825 |
| SMOKE |
3 |
26 |
56 |
2,090 |
9 |
48 |
193 |
4,448 |
| SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
1 |
11 |
521 |
| Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
2 |
16 |
0 |
3 |
20 |
69 |
| Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
1 |
72 |
0 |
3 |
19 |
218 |
| Simple Alternatives to the Common Correlated Effects Model |
0 |
1 |
2 |
63 |
0 |
3 |
11 |
45 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
2 |
6 |
24 |
29 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
1 |
912 |
1 |
13 |
29 |
1,976 |
| Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
0 |
4 |
9 |
352 |
| TRAFFIC1 |
0 |
0 |
2 |
324 |
0 |
5 |
34 |
957 |
| TRAFFIC2 |
0 |
0 |
1 |
471 |
0 |
5 |
31 |
1,315 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
1 |
2 |
10 |
2 |
5 |
18 |
45 |
| Twoyear |
0 |
0 |
0 |
485 |
1 |
3 |
29 |
1,114 |
| Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
0 |
4 |
42 |
751 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
10 |
0 |
6 |
14 |
54 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
1 |
47 |
1 |
6 |
31 |
115 |
| VOLAT |
0 |
0 |
0 |
242 |
1 |
2 |
23 |
1,281 |
| VOTE1 |
2 |
7 |
24 |
1,402 |
4 |
17 |
86 |
4,540 |
| VOTE2 |
0 |
1 |
1 |
358 |
2 |
9 |
37 |
1,561 |
| WAGE1 |
24 |
89 |
352 |
6,451 |
48 |
189 |
740 |
13,031 |
| WAGE2 |
10 |
41 |
141 |
4,875 |
29 |
107 |
354 |
10,056 |
| WAGEPAN |
4 |
12 |
59 |
2,247 |
17 |
42 |
174 |
4,810 |
| WAGEPRC |
1 |
1 |
2 |
355 |
1 |
3 |
31 |
1,044 |
| What Are We Weighting For? |
3 |
5 |
19 |
849 |
5 |
17 |
84 |
2,047 |
| What Estimators Are Unbiased For Linear Models? |
0 |
0 |
1 |
43 |
0 |
4 |
15 |
38 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
7 |
228 |
3 |
17 |
63 |
1,475 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
4 |
110 |
1 |
12 |
79 |
347 |
| When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
2 |
96 |
0 |
10 |
51 |
239 |
| Wine |
0 |
0 |
0 |
1,010 |
1 |
2 |
30 |
2,246 |
| Total Working Papers |
133 |
472 |
2,012 |
99,859 |
499 |
1,869 |
8,613 |
246,853 |
| Journal Article |
File Downloads |
Abstract Views |
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Last month |
3 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 |
1 |
7 |
15 |
136 |
| 03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
0 |
26 |
1 |
4 |
9 |
68 |
| A Capital Asset Pricing Model with Time-Varying Covariances |
2 |
3 |
14 |
3,038 |
4 |
19 |
84 |
7,717 |
| A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
0 |
2 |
26 |
0 |
3 |
25 |
111 |
| A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
0 |
2 |
26 |
1 |
7 |
24 |
87 |
| A Simple Specification Test for the Predictive Ability of Transformation Models |
0 |
0 |
3 |
193 |
0 |
3 |
16 |
454 |
| A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
0 |
3 |
15 |
88 |
| A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
1 |
81 |
2 |
9 |
24 |
222 |
| A computational trick for delta-method standard errors |
0 |
0 |
4 |
776 |
0 |
5 |
18 |
1,593 |
| A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
1 |
1 |
7 |
271 |
6 |
12 |
34 |
714 |
| A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
1 |
2 |
9 |
352 |
2 |
13 |
60 |
897 |
| A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
2 |
288 |
2 |
4 |
20 |
565 |
| A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
0 |
1 |
379 |
1 |
3 |
11 |
2,244 |
| A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
0 |
4 |
9 |
285 |
| A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
0 |
100 |
0 |
3 |
19 |
245 |
| A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
1 |
45 |
0 |
4 |
13 |
148 |
| A simple, robust test for choosing the level of fixed effects in linear panel data models |
1 |
4 |
12 |
30 |
4 |
21 |
66 |
135 |
| ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
1 |
2 |
8 |
98 |
| ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
2 |
55 |
1 |
5 |
20 |
184 |
| Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
1 |
1 |
2 |
2 |
1 |
6 |
27 |
28 |
| An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
0 |
3 |
7 |
35 |
| An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
0 |
1 |
10 |
195 |
| Applications of Generalized Method of Moments Estimation |
0 |
2 |
6 |
2,172 |
2 |
10 |
50 |
5,030 |
| Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
1 |
6 |
10 |
563 |
| Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format |
0 |
0 |
4 |
6 |
0 |
3 |
36 |
40 |
| Binary response panel data models with sample selection and self‐selection |
0 |
0 |
1 |
22 |
0 |
7 |
20 |
94 |
| Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
1 |
67 |
0 |
2 |
20 |
222 |
| Cluster-Sample Methods in Applied Econometrics |
1 |
2 |
5 |
757 |
3 |
10 |
40 |
1,878 |
| Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
0 |
4 |
9 |
1 |
11 |
44 |
62 |
| Control Function Methods in Applied Econometrics |
8 |
28 |
136 |
1,294 |
24 |
95 |
380 |
2,639 |
| Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
3 |
6 |
21 |
229 |
12 |
33 |
77 |
671 |
| Correlated random effects models with unbalanced panels |
5 |
11 |
61 |
486 |
16 |
56 |
199 |
1,339 |
| Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
0 |
0 |
11 |
16 |
0 |
7 |
49 |
57 |
| Difference-in-differences estimation (in Russian) |
0 |
0 |
1 |
274 |
0 |
4 |
22 |
569 |
| Distribution-free estimation of some nonlinear panel data models |
0 |
6 |
15 |
892 |
4 |
21 |
64 |
1,846 |
| 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 |
3 |
10 |
110 |
| Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
1 |
2 |
0 |
0 |
11 |
15 |
| Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
6 |
14 |
62 |
1,367 |
21 |
71 |
246 |
3,278 |
| Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
0 |
143 |
0 |
2 |
16 |
296 |
| Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
0 |
249 |
1 |
3 |
16 |
639 |
| Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
1 |
4 |
13 |
399 |
| 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 |
2 |
3 |
25 |
776 |
11 |
35 |
133 |
2,026 |
| Estimating systems of equations with different instruments for different equations |
0 |
1 |
4 |
203 |
2 |
5 |
23 |
507 |
| Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
1 |
5 |
12 |
204 |
| Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
0 |
0 |
3 |
413 |
0 |
4 |
23 |
1,074 |
| Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
2 |
9 |
24 |
864 |
9 |
24 |
76 |
1,825 |
| Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
1 |
1 |
3 |
264 |
2 |
3 |
11 |
474 |
| Heterogeneity and Heteroskedasticity in Endogenous Switching Models: Estimating the Effects of Physician Advice on Calorie Consumption |
0 |
0 |
3 |
3 |
1 |
6 |
47 |
47 |
| How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
0 |
14 |
0 |
3 |
8 |
95 |
| INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
0 |
4 |
267 |
1 |
4 |
17 |
442 |
| Improved estimation of dynamic models of conditional means and variances |
0 |
0 |
1 |
1 |
1 |
3 |
11 |
11 |
| Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
10 |
0 |
2 |
14 |
34 |
| Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
0 |
5 |
49 |
4 |
17 |
62 |
251 |
| Inverse probability weighted estimation for general missing data problems |
1 |
2 |
20 |
534 |
7 |
20 |
103 |
1,345 |
| Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
0 |
117 |
0 |
5 |
18 |
327 |
| Non linear correlated random effects models with endogeneity and unbalanced panels |
0 |
0 |
1 |
4 |
2 |
10 |
21 |
27 |
| On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
1 |
5 |
15 |
82 |
| On estimating firm-level production functions using proxy variables to control for unobservables |
8 |
19 |
77 |
3,035 |
25 |
77 |
291 |
6,721 |
| On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
1 |
2 |
14 |
66 |
| On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
2 |
4 |
514 |
0 |
5 |
21 |
882 |
| On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
0 |
2 |
18 |
2 |
4 |
19 |
70 |
| On two stage least squares estimation of the average treatment effect in a random coefficient model |
0 |
1 |
3 |
440 |
1 |
4 |
23 |
1,307 |
| Panel data methods for fractional response variables with an application to test pass rates |
3 |
6 |
16 |
661 |
6 |
27 |
76 |
1,693 |
| Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
1 |
179 |
2 |
8 |
21 |
565 |
| Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
0 |
38 |
1 |
5 |
12 |
197 |
| Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
0 |
1 |
12 |
342 |
3 |
17 |
48 |
798 |
| Recent Developments in the Econometrics of Program Evaluation |
2 |
5 |
18 |
918 |
5 |
24 |
93 |
2,615 |
| Rejoinder |
0 |
0 |
0 |
6 |
0 |
2 |
4 |
25 |
| Revisiting regression adjustment in experiments with heterogeneous treatment effects |
0 |
2 |
5 |
97 |
1 |
7 |
26 |
253 |
| Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
0 |
0 |
0 |
0 |
0 |
8 |
16 |
17 |
| SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
1 |
2 |
2 |
58 |
1 |
8 |
18 |
162 |
| Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
3 |
43 |
2 |
7 |
32 |
214 |
| Selection corrections for panel data models under conditional mean independence assumptions |
2 |
6 |
15 |
2,014 |
3 |
13 |
47 |
3,550 |
| Should instrumental variables be used as matching variables? |
0 |
1 |
8 |
75 |
1 |
6 |
33 |
240 |
| Simple approaches to nonlinear difference-in-differences with panel data |
2 |
5 |
26 |
36 |
11 |
34 |
120 |
152 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
4 |
7 |
6 |
13 |
33 |
50 |
| Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
4 |
4 |
6 |
1,576 |
11 |
46 |
147 |
3,567 |
| Some Alternatives to the Box-Cox Regression Model |
0 |
4 |
4 |
393 |
0 |
8 |
13 |
1,658 |
| Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
1 |
4 |
112 |
0 |
1 |
11 |
229 |
| Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
1 |
315 |
0 |
3 |
18 |
548 |
| Statistical significance is okay, too: comment on "Size Matters" |
0 |
1 |
1 |
197 |
0 |
4 |
15 |
379 |
| The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
1 |
21 |
0 |
3 |
14 |
63 |
| Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators |
3 |
10 |
18 |
18 |
20 |
67 |
108 |
108 |
| Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
0 |
21 |
1 |
4 |
15 |
109 |
| Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
1 |
1 |
1 |
17 |
1 |
3 |
15 |
112 |
| Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
4 |
11 |
21 |
21 |
| VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
0 |
4 |
123 |
1 |
2 |
18 |
272 |
| What Are We Weighting For? |
4 |
11 |
42 |
734 |
10 |
33 |
164 |
1,999 |
| What is a standard error? (And how should we compute it?) |
0 |
1 |
18 |
98 |
2 |
7 |
47 |
199 |
| When Should You Adjust Standard Errors for Clustering? |
5 |
7 |
25 |
125 |
15 |
36 |
168 |
571 |
| Total Journal Articles |
70 |
186 |
808 |
30,026 |
291 |
1,139 |
4,175 |
74,386 |
|
|