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 |
11 |
15 |
60 |
1,421 |
13 |
26 |
122 |
3,753 |
401KSUBS |
5 |
13 |
41 |
1,136 |
8 |
23 |
84 |
2,704 |
A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
272 |
A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
0 |
0 |
0 |
136 |
A Design-Based Approach to Spatial Correlation |
0 |
0 |
3 |
14 |
2 |
3 |
10 |
30 |
A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
3 |
7 |
21 |
21 |
9 |
20 |
50 |
50 |
A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
0 |
0 |
111 |
0 |
3 |
7 |
276 |
A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
432 |
A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
817 |
A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
1 |
1 |
2 |
184 |
A theoretical and empirical investigation of the Box-Cox model and a nonlinear least squares alternative |
0 |
0 |
1 |
89 |
0 |
0 |
1 |
179 |
ADMNREV |
0 |
0 |
1 |
110 |
1 |
1 |
5 |
419 |
AIRFARE |
2 |
7 |
21 |
1,130 |
10 |
24 |
74 |
2,862 |
AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
217 |
APPLE |
0 |
1 |
8 |
559 |
0 |
9 |
45 |
1,502 |
ATHLET1 |
0 |
0 |
4 |
206 |
0 |
1 |
16 |
552 |
ATHLET2 |
0 |
0 |
2 |
130 |
0 |
2 |
7 |
432 |
ATTEND |
0 |
1 |
16 |
981 |
0 |
2 |
40 |
2,036 |
AUDIT |
0 |
0 |
1 |
261 |
1 |
1 |
5 |
788 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
33 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
1 |
3 |
19 |
0 |
2 |
5 |
36 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
2 |
8 |
54 |
0 |
4 |
22 |
131 |
Affairs |
1 |
4 |
9 |
977 |
1 |
9 |
22 |
2,049 |
Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
0 |
7 |
31 |
1 |
5 |
25 |
57 |
BARIUM |
1 |
1 |
7 |
392 |
2 |
4 |
14 |
978 |
BWGHT |
10 |
18 |
71 |
3,053 |
21 |
56 |
214 |
7,286 |
Binary Response Panel Data Models with Sample Selection and Self Selection |
1 |
1 |
1 |
107 |
1 |
2 |
12 |
205 |
Bwght2 |
2 |
3 |
18 |
896 |
5 |
10 |
56 |
1,941 |
CARD |
8 |
9 |
15 |
1,132 |
8 |
10 |
32 |
4,167 |
CEMENT |
0 |
0 |
1 |
277 |
0 |
2 |
5 |
729 |
CEOSAL1 |
5 |
11 |
76 |
2,737 |
7 |
26 |
173 |
5,422 |
CEOSAL2 |
13 |
21 |
71 |
2,147 |
22 |
37 |
154 |
4,498 |
CONSUMP |
0 |
4 |
6 |
364 |
0 |
9 |
26 |
1,944 |
CORN |
0 |
0 |
0 |
153 |
0 |
1 |
10 |
677 |
CORNWELL |
1 |
3 |
12 |
509 |
3 |
6 |
27 |
1,219 |
CPS78_85 |
0 |
2 |
14 |
749 |
0 |
5 |
32 |
1,729 |
CPS91 |
0 |
1 |
8 |
265 |
0 |
1 |
21 |
752 |
CRIME1 |
0 |
5 |
31 |
1,364 |
1 |
12 |
77 |
2,799 |
CRIME2 |
1 |
6 |
28 |
1,094 |
3 |
12 |
59 |
2,380 |
CRIME3 |
0 |
0 |
2 |
314 |
0 |
1 |
8 |
781 |
CRIME4 |
0 |
1 |
6 |
862 |
1 |
6 |
35 |
2,028 |
Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
3 |
94 |
1 |
2 |
9 |
235 |
Correlated random effects methods for panel data models with heterogeneous time effects |
1 |
3 |
33 |
318 |
7 |
14 |
97 |
903 |
Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
2 |
10 |
31 |
1 |
5 |
30 |
57 |
DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
0 |
1 |
10 |
510 |
Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
2 |
87 |
1 |
3 |
19 |
857 |
Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
1 |
4 |
38 |
0 |
3 |
9 |
104 |
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 |
1 |
23 |
Discrim |
0 |
1 |
3 |
1,069 |
0 |
3 |
16 |
2,780 |
Does the Precision and Stability of Value-Added Estimates of Teacher Performance Depend on the Types of Students They Serve? |
0 |
0 |
1 |
47 |
0 |
0 |
3 |
139 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
0 |
41 |
1 |
1 |
4 |
50 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
1 |
3 |
2 |
5 |
7 |
33 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
0 |
8 |
1 |
5 |
20 |
39 |
EARNS |
0 |
1 |
3 |
269 |
0 |
1 |
3 |
709 |
EZANDERS |
4 |
4 |
8 |
270 |
5 |
5 |
19 |
607 |
EZUNEM |
0 |
0 |
3 |
247 |
1 |
2 |
9 |
560 |
Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
1 |
3 |
8 |
1,291 |
4 |
7 |
29 |
3,336 |
Engin |
0 |
0 |
1 |
255 |
0 |
0 |
8 |
734 |
Estimating Panel Data Models in the Presence of Endogeneity and Selection |
1 |
1 |
6 |
526 |
2 |
4 |
19 |
954 |
Estimating average partial effects under conditional moment independence assumptions |
1 |
1 |
1 |
645 |
1 |
2 |
4 |
2,198 |
Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
3 |
4 |
5 |
6 |
Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
434 |
Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
1 |
29 |
0 |
0 |
2 |
90 |
FAIR |
0 |
0 |
1 |
169 |
0 |
0 |
4 |
398 |
FERTIL1 |
5 |
9 |
35 |
1,146 |
6 |
12 |
61 |
2,127 |
FERTIL2 |
4 |
8 |
39 |
1,284 |
6 |
15 |
78 |
2,813 |
FERTIL3 |
2 |
2 |
22 |
578 |
4 |
7 |
44 |
1,137 |
FRINGE |
0 |
2 |
4 |
498 |
0 |
5 |
20 |
1,313 |
Finite Population Causal Standard Errors |
0 |
0 |
3 |
144 |
2 |
2 |
11 |
316 |
Fish |
0 |
0 |
3 |
450 |
1 |
1 |
9 |
1,052 |
Fractional response models with endogeneous explanatory variables and heterogeneity |
0 |
2 |
28 |
1,202 |
3 |
17 |
86 |
2,356 |
GPA1 |
3 |
7 |
28 |
1,331 |
7 |
22 |
93 |
2,588 |
GPA2 |
1 |
7 |
30 |
1,333 |
1 |
15 |
77 |
2,980 |
GPA3 |
1 |
4 |
16 |
908 |
1 |
11 |
35 |
2,843 |
GROGGER |
0 |
0 |
10 |
580 |
0 |
1 |
24 |
1,435 |
HPRICE1 |
5 |
41 |
110 |
2,733 |
11 |
77 |
224 |
5,171 |
HPRICE2 |
2 |
10 |
41 |
999 |
7 |
29 |
93 |
2,238 |
HPRICE3 |
1 |
8 |
23 |
474 |
2 |
15 |
52 |
1,190 |
HSEINV |
0 |
2 |
15 |
340 |
0 |
2 |
31 |
821 |
HTV |
2 |
3 |
7 |
419 |
3 |
5 |
28 |
1,324 |
How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
0 |
0 |
1 |
132 |
INFMRT |
0 |
2 |
6 |
199 |
0 |
2 |
10 |
488 |
INJURY |
0 |
0 |
5 |
443 |
0 |
0 |
15 |
916 |
INTDEF |
3 |
3 |
21 |
474 |
4 |
4 |
31 |
964 |
INTQRT |
0 |
0 |
8 |
182 |
0 |
0 |
19 |
555 |
INVEN |
0 |
0 |
1 |
168 |
0 |
0 |
3 |
2,024 |
Improved Estimation of Dynamic Models of Conditional Means and Variances |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
37 |
Inference for partial effects in nonlinear panel-data models using Stata |
0 |
0 |
4 |
763 |
0 |
0 |
7 |
1,118 |
Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
1 |
2 |
605 |
1 |
6 |
16 |
1,874 |
Inverse probability weighted M-estimators for sample selection, attrition and stratification |
1 |
1 |
1 |
2 |
1 |
2 |
5 |
8 |
Inverse probability weighted estimation for general missing data problems |
0 |
0 |
1 |
493 |
0 |
2 |
6 |
1,619 |
Inverse probability weighted estimation for general missing data problems |
1 |
2 |
3 |
4 |
3 |
5 |
8 |
9 |
JTRAIN |
1 |
1 |
22 |
1,301 |
4 |
12 |
84 |
3,356 |
JTRAIN2 |
1 |
6 |
20 |
1,122 |
1 |
9 |
44 |
2,723 |
KEANE |
1 |
1 |
13 |
630 |
2 |
3 |
27 |
1,513 |
KIELMC |
1 |
11 |
51 |
1,257 |
2 |
20 |
111 |
2,546 |
LABSUP |
3 |
6 |
33 |
468 |
6 |
15 |
63 |
1,077 |
LAWSCH85 |
1 |
2 |
16 |
793 |
3 |
4 |
39 |
1,731 |
LOANAPP |
0 |
4 |
33 |
1,327 |
5 |
14 |
83 |
3,358 |
LOWBRTH |
0 |
1 |
3 |
198 |
1 |
2 |
5 |
561 |
MATHPNL |
0 |
0 |
1 |
395 |
1 |
1 |
12 |
909 |
MEAP93 |
12 |
15 |
38 |
1,126 |
20 |
25 |
89 |
2,522 |
MLB1 |
1 |
4 |
29 |
806 |
4 |
14 |
64 |
1,800 |
MROZ |
15 |
31 |
149 |
3,413 |
29 |
61 |
363 |
8,201 |
MURDER |
3 |
7 |
17 |
812 |
4 |
8 |
28 |
1,926 |
NBASAL |
2 |
3 |
9 |
657 |
3 |
4 |
25 |
1,789 |
NLS80 |
0 |
1 |
19 |
888 |
0 |
6 |
46 |
1,862 |
NLS81_87 |
0 |
0 |
4 |
174 |
0 |
1 |
12 |
440 |
NORWAY |
0 |
2 |
8 |
300 |
0 |
3 |
10 |
678 |
NYSE |
0 |
0 |
5 |
399 |
1 |
2 |
13 |
1,168 |
Nonlinear difference in differences with panel data |
1 |
5 |
45 |
347 |
4 |
9 |
77 |
640 |
OPENNESS |
0 |
1 |
9 |
457 |
1 |
2 |
18 |
917 |
On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
0 |
0 |
2 |
608 |
On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
PATENT |
0 |
0 |
2 |
373 |
0 |
3 |
12 |
807 |
PENSION |
1 |
1 |
3 |
541 |
1 |
2 |
6 |
1,183 |
PHILLIPS |
2 |
2 |
22 |
712 |
3 |
3 |
36 |
1,510 |
PNTSPRD |
0 |
2 |
22 |
416 |
0 |
8 |
50 |
1,055 |
PRISON |
0 |
2 |
7 |
590 |
0 |
3 |
22 |
1,576 |
PRMINWGE |
0 |
0 |
5 |
285 |
1 |
1 |
10 |
595 |
Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
1 |
3 |
124 |
1 |
2 |
7 |
212 |
Q |
0 |
0 |
0 |
186 |
1 |
1 |
2 |
551 |
Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
2 |
5 |
17 |
1,978 |
RDCHEM |
0 |
4 |
19 |
773 |
3 |
11 |
43 |
1,774 |
RECID |
0 |
1 |
2 |
470 |
0 |
2 |
14 |
1,780 |
REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
191 |
RENTAL |
2 |
3 |
11 |
724 |
2 |
6 |
24 |
1,319 |
RETURN |
0 |
0 |
3 |
241 |
0 |
0 |
6 |
590 |
Rdtelec |
0 |
0 |
1 |
135 |
0 |
0 |
3 |
367 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
0 |
2 |
884 |
2 |
7 |
20 |
2,132 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
2 |
5 |
364 |
3 |
7 |
14 |
818 |
Recent Developments in the Econometrics of Program Evaluation |
1 |
4 |
7 |
184 |
4 |
11 |
18 |
567 |
Recent developments in the econometrics of program evaluation |
0 |
0 |
0 |
332 |
1 |
2 |
5 |
863 |
Relationships among recent difference-in-differences estimators and how to compute them in Stata |
9 |
40 |
149 |
149 |
12 |
46 |
198 |
198 |
Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
0 |
1 |
27 |
1 |
4 |
13 |
54 |
SAVING |
32 |
33 |
39 |
569 |
34 |
36 |
49 |
1,094 |
SLEEP75 |
12 |
19 |
113 |
2,605 |
21 |
37 |
277 |
5,622 |
SLP75_81 |
0 |
2 |
5 |
330 |
0 |
5 |
10 |
796 |
SMOKE |
64 |
69 |
122 |
2,010 |
78 |
100 |
238 |
4,189 |
SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
509 |
Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
1 |
1 |
2 |
46 |
Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
2 |
71 |
0 |
0 |
5 |
197 |
Simple Alternatives to the Common Correlated Effects Model |
0 |
0 |
0 |
61 |
0 |
1 |
1 |
31 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
911 |
0 |
0 |
2 |
1,947 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
1 |
1 |
1 |
1 |
4 |
4 |
Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
343 |
TRAFFIC1 |
0 |
1 |
4 |
322 |
2 |
9 |
18 |
923 |
TRAFFIC2 |
0 |
0 |
3 |
468 |
0 |
5 |
13 |
1,281 |
The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
2 |
8 |
0 |
2 |
10 |
23 |
Twoyear |
0 |
0 |
3 |
478 |
2 |
5 |
20 |
1,077 |
Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
23 |
36 |
153 |
696 |
Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
9 |
0 |
2 |
7 |
39 |
Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
46 |
1 |
1 |
3 |
84 |
VOLAT |
0 |
1 |
6 |
240 |
2 |
6 |
23 |
1,254 |
VOTE1 |
2 |
6 |
72 |
1,370 |
10 |
20 |
161 |
4,428 |
VOTE2 |
0 |
3 |
5 |
357 |
0 |
10 |
29 |
1,522 |
WAGE1 |
19 |
54 |
250 |
5,994 |
31 |
121 |
616 |
12,132 |
WAGE2 |
22 |
37 |
174 |
4,683 |
40 |
91 |
399 |
9,606 |
WAGEPAN |
3 |
13 |
74 |
2,171 |
7 |
29 |
164 |
4,606 |
WAGEPRC |
0 |
0 |
4 |
352 |
0 |
0 |
12 |
1,011 |
What Are We Weighting For? |
6 |
9 |
46 |
824 |
16 |
30 |
118 |
1,936 |
When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
1 |
93 |
0 |
1 |
7 |
186 |
When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
1 |
220 |
2 |
3 |
24 |
1,406 |
When Should You Adjust Standard Errors for Clustering? |
0 |
0 |
4 |
105 |
1 |
2 |
26 |
262 |
Wine |
0 |
0 |
5 |
1,010 |
1 |
1 |
17 |
2,216 |
Total Working Papers |
321 |
680 |
2,852 |
97,019 |
619 |
1,559 |
7,073 |
236,599 |
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 |
0 |
65 |
0 |
1 |
1 |
121 |
03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
58 |
A Capital Asset Pricing Model with Time-Varying Covariances |
1 |
2 |
30 |
3,017 |
6 |
13 |
76 |
7,611 |
A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
1 |
2 |
22 |
1 |
4 |
8 |
83 |
A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
2 |
5 |
22 |
2 |
5 |
13 |
58 |
A Simple Specification Test for the Predictive Ability of Transformation Models |
2 |
3 |
10 |
188 |
3 |
5 |
16 |
435 |
A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
1 |
1 |
1 |
73 |
A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
0 |
80 |
0 |
1 |
2 |
196 |
A computational trick for delta-method standard errors |
1 |
4 |
7 |
772 |
2 |
7 |
15 |
1,574 |
A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
2 |
7 |
263 |
0 |
4 |
15 |
678 |
A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
1 |
2 |
14 |
341 |
1 |
3 |
35 |
833 |
A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
6 |
286 |
0 |
0 |
14 |
545 |
A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
1 |
5 |
377 |
2 |
3 |
9 |
2,231 |
A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
2 |
106 |
0 |
0 |
3 |
276 |
A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
1 |
2 |
100 |
0 |
1 |
6 |
225 |
A simple test for the consistency of dynamic linear regression in rational distributed lag models |
0 |
0 |
0 |
44 |
1 |
1 |
1 |
135 |
A simple, robust test for choosing the level of fixed effects in linear panel data models |
0 |
0 |
6 |
13 |
1 |
4 |
26 |
55 |
ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
0 |
0 |
2 |
90 |
ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
0 |
0 |
2 |
52 |
3 |
4 |
12 |
163 |
An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
27 |
An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
1 |
1 |
2 |
185 |
Applications of Generalized Method of Moments Estimation |
0 |
1 |
3 |
2,163 |
0 |
4 |
10 |
4,975 |
Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
553 |
Binary response panel data models with sample selection and self‐selection |
0 |
1 |
1 |
21 |
0 |
1 |
4 |
74 |
Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
5 |
64 |
0 |
1 |
7 |
199 |
Cluster-Sample Methods in Applied Econometrics |
1 |
2 |
4 |
748 |
36 |
39 |
46 |
1,831 |
Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
1 |
3 |
3 |
3 |
2 |
4 |
9 |
11 |
Control Function Methods in Applied Econometrics |
11 |
22 |
146 |
1,132 |
18 |
45 |
282 |
2,195 |
Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
2 |
5 |
11 |
204 |
3 |
10 |
42 |
581 |
Correlated random effects models with unbalanced panels |
3 |
11 |
67 |
416 |
9 |
32 |
170 |
1,115 |
Difference-in-differences estimation (in Russian) |
0 |
0 |
2 |
273 |
0 |
2 |
9 |
544 |
Distribution-free estimation of some nonlinear panel data models |
3 |
6 |
40 |
873 |
5 |
15 |
83 |
1,767 |
Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
0 |
0 |
1 |
16 |
1 |
1 |
10 |
99 |
Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
0 |
1 |
1 |
1 |
1 |
4 |
4 |
Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
6 |
14 |
46 |
1,295 |
13 |
27 |
100 |
3,011 |
Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
1 |
142 |
2 |
3 |
7 |
278 |
Efficient estimation of panel data models with strictly exogenous explanatory variables |
1 |
1 |
2 |
248 |
1 |
1 |
6 |
621 |
Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
0 |
0 |
6 |
386 |
Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth |
1 |
1 |
1 |
54 |
1 |
2 |
3 |
204 |
Estimating panel data models in the presence of endogeneity and selection |
3 |
8 |
15 |
742 |
6 |
20 |
56 |
1,865 |
Estimating systems of equations with different instruments for different equations |
0 |
1 |
3 |
198 |
0 |
2 |
6 |
483 |
Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
2 |
4 |
14 |
190 |
Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
1 |
1 |
3 |
410 |
1 |
1 |
8 |
1,050 |
Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
2 |
7 |
29 |
827 |
8 |
20 |
71 |
1,725 |
Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
0 |
0 |
3 |
260 |
1 |
3 |
7 |
462 |
How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
1 |
14 |
1 |
1 |
2 |
87 |
INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
2 |
7 |
259 |
0 |
2 |
8 |
419 |
Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
0 |
0 |
1 |
9 |
0 |
0 |
2 |
18 |
Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
0 |
1 |
8 |
41 |
1 |
6 |
39 |
178 |
Inverse probability weighted estimation for general missing data problems |
2 |
7 |
28 |
510 |
2 |
21 |
64 |
1,229 |
Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
2 |
6 |
117 |
0 |
3 |
16 |
307 |
On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
1 |
18 |
0 |
0 |
4 |
66 |
On estimating firm-level production functions using proxy variables to control for unobservables |
8 |
24 |
126 |
2,929 |
17 |
57 |
301 |
6,345 |
On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
3 |
4 |
4 |
52 |
On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
1 |
6 |
509 |
1 |
4 |
14 |
859 |
On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
0 |
3 |
14 |
1 |
1 |
10 |
48 |
On two stage least squares estimation of the average treatment effect in a random coefficient model |
1 |
1 |
7 |
437 |
5 |
7 |
25 |
1,283 |
Panel data methods for fractional response variables with an application to test pass rates |
2 |
4 |
13 |
642 |
2 |
5 |
54 |
1,610 |
Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
0 |
178 |
0 |
0 |
3 |
542 |
Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
2 |
38 |
0 |
0 |
3 |
185 |
Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
1 |
5 |
22 |
323 |
2 |
9 |
63 |
733 |
Recent Developments in the Econometrics of Program Evaluation |
3 |
7 |
30 |
894 |
7 |
20 |
80 |
2,502 |
Rejoinder |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
20 |
Revisiting regression adjustment in experiments with heterogeneous treatment effects |
2 |
7 |
43 |
84 |
3 |
12 |
70 |
215 |
SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
0 |
1 |
56 |
1 |
1 |
5 |
144 |
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
39 |
1 |
2 |
7 |
179 |
Selection corrections for panel data models under conditional mean independence assumptions |
1 |
4 |
38 |
1,993 |
1 |
9 |
66 |
3,485 |
Should instrumental variables be used as matching variables? |
0 |
1 |
4 |
66 |
0 |
5 |
20 |
204 |
Simple approaches to nonlinear difference-in-differences with panel data |
2 |
4 |
6 |
6 |
4 |
11 |
19 |
19 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
15 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
1 |
4 |
1,569 |
2 |
5 |
14 |
3,412 |
Some Alternatives to the Box-Cox Regression Model |
1 |
2 |
5 |
388 |
2 |
5 |
12 |
1,643 |
Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
1 |
1 |
6 |
108 |
1 |
2 |
15 |
217 |
Specification testing and quasi-maximum- likelihood estimation |
0 |
0 |
3 |
313 |
0 |
0 |
9 |
529 |
Statistical significance is okay, too: comment on "Size Matters" |
0 |
0 |
8 |
196 |
0 |
0 |
11 |
364 |
The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
1 |
7 |
20 |
0 |
4 |
17 |
49 |
Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
1 |
1 |
4 |
17 |
1 |
3 |
8 |
89 |
Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
0 |
0 |
15 |
1 |
1 |
2 |
94 |
VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
1 |
5 |
117 |
0 |
1 |
14 |
252 |
What Are We Weighting For? |
8 |
16 |
40 |
683 |
15 |
33 |
114 |
1,809 |
What is a standard error? (And how should we compute it?) |
0 |
2 |
73 |
76 |
0 |
5 |
127 |
137 |
When Should You Adjust Standard Errors for Clustering? |
3 |
9 |
34 |
88 |
13 |
37 |
164 |
362 |
Total Journal Articles |
76 |
206 |
1,027 |
28,979 |
222 |
573 |
2,610 |
69,576 |
|
|