Access Statistics for Jeffrey Wooldridge
Author contact details at EconPapers.
Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
401K |
1 |
2 |
48 |
1,437 |
5 |
6 |
93 |
3,784 |
401KSUBS |
4 |
7 |
32 |
1,147 |
5 |
10 |
56 |
2,723 |
A Common Error in the Treatment of Trending Time Series |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
273 |
A Comparison of Growth Percentile and Value-Added Models of Teacher Performance |
0 |
0 |
0 |
65 |
0 |
1 |
2 |
138 |
A Design-Based Approach to Spatial Correlation |
0 |
1 |
1 |
15 |
0 |
4 |
10 |
35 |
A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections |
1 |
8 |
38 |
38 |
3 |
20 |
95 |
95 |
A General Double Robustness Result for Estimating Average Treatment Effects |
0 |
1 |
1 |
112 |
1 |
3 |
8 |
279 |
A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
433 |
A TEST OF NEW AGGREGATE DAMAND CURVATURE PROPERTIES |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
818 |
A Test of New Aggregate Damand Curvature Properties |
0 |
0 |
0 |
22 |
1 |
2 |
3 |
186 |
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 |
0 |
0 |
3 |
419 |
AIRFARE |
1 |
2 |
29 |
1,146 |
1 |
8 |
77 |
2,894 |
AN ENCOMPASSING APPROACH TO CONDITIONAL MEAN TESTS WITH APPLICATIONS TO TESTING NONNESTED HYPOTHESES |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
217 |
APPLE |
0 |
1 |
9 |
565 |
2 |
4 |
29 |
1,513 |
ATHLET1 |
0 |
0 |
1 |
206 |
0 |
0 |
8 |
554 |
ATHLET2 |
0 |
0 |
1 |
130 |
0 |
0 |
4 |
432 |
ATTEND |
0 |
0 |
9 |
984 |
1 |
1 |
25 |
2,043 |
AUDIT |
0 |
0 |
0 |
261 |
0 |
0 |
2 |
789 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
1 |
19 |
1 |
2 |
6 |
40 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
5 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
34 |
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
3 |
55 |
0 |
0 |
8 |
134 |
Affairs |
1 |
2 |
9 |
980 |
1 |
3 |
18 |
2,055 |
Another Look at the Linear Probability Model and Nonlinear Index Models |
0 |
1 |
7 |
34 |
0 |
3 |
20 |
64 |
BARIUM |
0 |
0 |
3 |
393 |
0 |
1 |
9 |
980 |
BWGHT |
10 |
15 |
90 |
3,101 |
15 |
32 |
214 |
7,372 |
Binary Response Panel Data Models with Sample Selection and Self Selection |
0 |
0 |
1 |
107 |
0 |
0 |
7 |
207 |
Bwght2 |
1 |
1 |
14 |
898 |
1 |
4 |
39 |
1,948 |
CARD |
0 |
0 |
15 |
1,136 |
1 |
1 |
25 |
4,174 |
CEMENT |
0 |
1 |
1 |
278 |
0 |
2 |
6 |
732 |
CEOSAL1 |
4 |
9 |
66 |
2,754 |
8 |
17 |
143 |
5,460 |
CEOSAL2 |
0 |
4 |
50 |
2,162 |
2 |
11 |
115 |
4,531 |
CONSUMP |
0 |
1 |
7 |
366 |
0 |
1 |
23 |
1,947 |
CORN |
0 |
0 |
1 |
154 |
0 |
0 |
5 |
678 |
CORNWELL |
0 |
0 |
9 |
513 |
0 |
2 |
26 |
1,230 |
CPS78_85 |
0 |
0 |
9 |
752 |
0 |
1 |
19 |
1,733 |
CPS91 |
0 |
1 |
6 |
268 |
0 |
2 |
16 |
760 |
CRIME1 |
0 |
0 |
19 |
1,367 |
0 |
1 |
45 |
2,808 |
CRIME2 |
0 |
2 |
17 |
1,100 |
0 |
5 |
42 |
2,395 |
CRIME3 |
0 |
0 |
1 |
314 |
0 |
0 |
5 |
781 |
CRIME4 |
0 |
0 |
5 |
864 |
0 |
1 |
24 |
2,037 |
Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
1 |
94 |
1 |
4 |
8 |
240 |
Correlated random effects methods for panel data models with heterogeneous time effects |
3 |
6 |
22 |
330 |
4 |
18 |
69 |
938 |
Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects |
0 |
5 |
11 |
37 |
0 |
7 |
23 |
70 |
DISTRIBUTION-FREE ESTIMATION OF SOME NONLINEAR PANEL DATA MODELS |
0 |
0 |
0 |
0 |
1 |
2 |
7 |
514 |
Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
5 |
90 |
42 |
42 |
54 |
904 |
Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings |
0 |
0 |
2 |
38 |
0 |
0 |
5 |
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 |
2 |
25 |
Difference in difference for nonbinary treatments in Stata |
31 |
31 |
31 |
31 |
69 |
69 |
69 |
69 |
Discrim |
0 |
0 |
3 |
1,070 |
1 |
2 |
14 |
2,784 |
Does the Precision and Stability of Value-Added Estimates of Teacher Performance Depend on the Types of Students They Serve? |
0 |
0 |
0 |
47 |
0 |
1 |
2 |
140 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
1 |
1 |
9 |
1 |
6 |
21 |
50 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
4 |
4 |
45 |
5 |
13 |
18 |
65 |
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment |
0 |
0 |
1 |
3 |
0 |
0 |
10 |
37 |
EARNS |
0 |
0 |
1 |
269 |
0 |
1 |
2 |
710 |
EZANDERS |
0 |
0 |
7 |
270 |
1 |
1 |
12 |
609 |
EZUNEM |
1 |
2 |
4 |
249 |
1 |
2 |
9 |
563 |
Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates |
0 |
1 |
8 |
1,294 |
2 |
5 |
30 |
3,350 |
Engin |
0 |
2 |
2 |
257 |
0 |
2 |
6 |
738 |
Estimating Panel Data Models in the Presence of Endogeneity and Selection |
0 |
0 |
5 |
527 |
0 |
2 |
13 |
959 |
Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
10 |
Estimating average partial effects under conditional moment independence assumptions |
0 |
0 |
2 |
646 |
1 |
1 |
6 |
2,201 |
Estimation and Inference for Dependent Processes. alysis |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
435 |
Evaluating Specification Tests in the Context of Value-Added Estimation |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
90 |
FAIR |
0 |
0 |
0 |
169 |
0 |
0 |
0 |
398 |
FERTIL1 |
0 |
0 |
30 |
1,158 |
1 |
2 |
47 |
2,146 |
FERTIL2 |
0 |
3 |
27 |
1,293 |
0 |
5 |
53 |
2,831 |
FERTIL3 |
0 |
0 |
11 |
581 |
0 |
2 |
25 |
1,145 |
FRINGE |
0 |
0 |
4 |
499 |
0 |
0 |
15 |
1,317 |
Finite Population Causal Standard Errors |
0 |
0 |
1 |
144 |
2 |
2 |
7 |
320 |
Fish |
0 |
0 |
0 |
450 |
0 |
0 |
6 |
1,054 |
Fractional response models with endogeneous explanatory variables and heterogeneity |
0 |
3 |
12 |
1,206 |
3 |
13 |
51 |
2,375 |
GPA1 |
0 |
2 |
60 |
1,378 |
0 |
7 |
117 |
2,652 |
GPA2 |
0 |
1 |
28 |
1,347 |
0 |
2 |
63 |
3,007 |
GPA3 |
1 |
2 |
12 |
911 |
1 |
5 |
31 |
2,854 |
GROGGER |
0 |
0 |
6 |
584 |
0 |
0 |
12 |
1,442 |
HPRICE1 |
1 |
4 |
88 |
2,752 |
2 |
11 |
183 |
5,216 |
HPRICE2 |
0 |
9 |
32 |
1,015 |
0 |
12 |
71 |
2,259 |
HPRICE3 |
0 |
0 |
14 |
477 |
1 |
2 |
38 |
1,200 |
HSEINV |
1 |
4 |
14 |
347 |
2 |
5 |
24 |
833 |
HTV |
0 |
0 |
8 |
422 |
0 |
0 |
17 |
1,330 |
How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value-added |
0 |
0 |
0 |
32 |
2 |
2 |
2 |
134 |
INFMRT |
0 |
1 |
4 |
200 |
0 |
1 |
5 |
489 |
INJURY |
0 |
0 |
2 |
443 |
0 |
1 |
9 |
919 |
INTDEF |
0 |
0 |
7 |
474 |
0 |
0 |
11 |
965 |
INTQRT |
0 |
0 |
1 |
182 |
0 |
0 |
3 |
556 |
INVEN |
0 |
0 |
0 |
168 |
1 |
1 |
2 |
2,025 |
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 |
2 |
763 |
0 |
1 |
7 |
1,121 |
Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
0 |
1 |
2 |
0 |
0 |
4 |
8 |
Inverse probability weighted M-estimators for sample selection, attrition and stratification |
0 |
0 |
1 |
605 |
0 |
1 |
9 |
1,876 |
Inverse probability weighted estimation for general missing data problems |
0 |
0 |
0 |
493 |
1 |
1 |
3 |
1,620 |
Inverse probability weighted estimation for general missing data problems |
1 |
1 |
3 |
5 |
1 |
1 |
8 |
10 |
JTRAIN |
0 |
1 |
18 |
1,307 |
2 |
10 |
72 |
3,382 |
JTRAIN2 |
3 |
5 |
18 |
1,129 |
3 |
8 |
36 |
2,736 |
KEANE |
0 |
0 |
4 |
632 |
1 |
2 |
19 |
1,525 |
KIELMC |
1 |
7 |
51 |
1,278 |
4 |
21 |
102 |
2,595 |
LABSUP |
0 |
0 |
28 |
472 |
1 |
2 |
50 |
1,086 |
LAWSCH85 |
1 |
1 |
10 |
798 |
1 |
2 |
26 |
1,745 |
LOANAPP |
0 |
4 |
26 |
1,341 |
0 |
8 |
63 |
3,386 |
LOWBRTH |
0 |
0 |
1 |
198 |
0 |
0 |
3 |
561 |
MATHPNL |
0 |
0 |
6 |
401 |
0 |
1 |
9 |
916 |
MEAP93 |
0 |
0 |
25 |
1,129 |
1 |
4 |
65 |
2,536 |
MLB1 |
0 |
0 |
22 |
811 |
1 |
1 |
49 |
1,809 |
MROZ |
14 |
25 |
113 |
3,461 |
25 |
47 |
262 |
8,308 |
MURDER |
0 |
2 |
13 |
817 |
1 |
5 |
21 |
1,936 |
More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation |
0 |
2 |
2 |
32 |
2 |
9 |
16 |
49 |
NBASAL |
0 |
0 |
6 |
657 |
0 |
5 |
24 |
1,800 |
NLS80 |
1 |
2 |
9 |
890 |
1 |
3 |
34 |
1,870 |
NLS81_87 |
0 |
0 |
2 |
175 |
0 |
0 |
4 |
442 |
NORWAY |
0 |
0 |
6 |
300 |
0 |
0 |
8 |
678 |
NYSE |
0 |
0 |
3 |
399 |
0 |
0 |
9 |
1,169 |
Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
1 |
1 |
4 |
9 |
1 |
1 |
8 |
16 |
Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels |
1 |
3 |
13 |
50 |
3 |
10 |
38 |
116 |
Nonlinear difference in differences with panel data |
1 |
6 |
31 |
360 |
4 |
10 |
48 |
660 |
OPENNESS |
0 |
0 |
5 |
458 |
0 |
0 |
10 |
919 |
On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
4 |
On the robustness of fixed effects and related estimators in correlated random coefficient panel data models |
0 |
0 |
0 |
300 |
1 |
2 |
5 |
611 |
PATENT |
0 |
0 |
0 |
373 |
0 |
1 |
7 |
808 |
PENSION |
0 |
0 |
1 |
541 |
0 |
1 |
7 |
1,188 |
PHILLIPS |
0 |
0 |
18 |
726 |
0 |
1 |
28 |
1,528 |
PNTSPRD |
0 |
0 |
18 |
423 |
1 |
5 |
37 |
1,072 |
PRISON |
0 |
1 |
6 |
592 |
0 |
2 |
16 |
1,583 |
PRMINWGE |
0 |
0 |
4 |
286 |
1 |
1 |
8 |
599 |
Putting a value on injuries to natural assets: The BP Oil Spill |
0 |
0 |
3 |
126 |
1 |
1 |
7 |
215 |
Q |
0 |
0 |
1 |
187 |
0 |
0 |
2 |
552 |
Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances |
0 |
0 |
0 |
0 |
1 |
2 |
11 |
1,983 |
RDCHEM |
0 |
1 |
17 |
776 |
1 |
5 |
41 |
1,790 |
RECID |
0 |
0 |
2 |
471 |
0 |
1 |
16 |
1,788 |
REGRESSION-BASED INFERENCE IN LINEAR TIME SERIES MODELS WITH INCOMPLETE DYNAMICS |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
191 |
RENTAL |
0 |
0 |
10 |
729 |
0 |
0 |
19 |
1,329 |
RETURN |
0 |
0 |
0 |
241 |
0 |
0 |
1 |
590 |
Rdtelec |
0 |
0 |
0 |
135 |
0 |
0 |
1 |
368 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
1 |
4 |
365 |
2 |
7 |
19 |
828 |
Recent Developments in the Econometrics of Program Evaluation |
2 |
3 |
9 |
189 |
5 |
7 |
26 |
580 |
Recent Developments in the Econometrics of Program Evaluation |
0 |
4 |
5 |
888 |
1 |
8 |
24 |
2,143 |
Recent developments in the econometrics of program evaluation |
0 |
1 |
2 |
334 |
2 |
4 |
9 |
869 |
Relationships among recent difference-in-differences estimators and how to compute them in Stata |
9 |
28 |
216 |
216 |
9 |
33 |
281 |
281 |
Robust and Efficient Estimation of Potential Outcome Means under Random Assignment |
0 |
1 |
2 |
29 |
0 |
1 |
7 |
56 |
SAVING |
0 |
0 |
36 |
571 |
0 |
1 |
47 |
1,102 |
SLEEP75 |
1 |
7 |
90 |
2,653 |
3 |
16 |
204 |
5,707 |
SLP75_81 |
0 |
0 |
3 |
330 |
0 |
0 |
7 |
796 |
SMOKE |
1 |
6 |
110 |
2,040 |
4 |
26 |
242 |
4,281 |
SOME ALETERNATIVE TO THE BOX-COX REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
510 |
Sampling-Based vs. Design-Based Uncertainty in Regression Analysis |
0 |
0 |
0 |
14 |
1 |
1 |
6 |
50 |
Sampling-based vs. Design-based Uncertainty in Regression Analysis |
0 |
0 |
1 |
71 |
0 |
2 |
5 |
201 |
Simple Alternatives to the Common Correlated Effects Model |
0 |
0 |
0 |
61 |
0 |
0 |
4 |
34 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
5 |
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 |
Specification Testing and Quasi-Maximum Likelihood Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
344 |
TRAFFIC1 |
0 |
0 |
1 |
322 |
0 |
0 |
11 |
923 |
TRAFFIC2 |
0 |
0 |
2 |
470 |
0 |
0 |
9 |
1,284 |
The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
0 |
8 |
0 |
1 |
8 |
28 |
Twoyear |
0 |
0 |
8 |
485 |
0 |
0 |
22 |
1,085 |
Using Stata to implement simple difference-in-differences estimators for staggered interventions |
0 |
0 |
0 |
0 |
5 |
16 |
92 |
725 |
Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
9 |
1 |
1 |
7 |
41 |
Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
46 |
0 |
0 |
2 |
84 |
VOLAT |
0 |
0 |
6 |
242 |
1 |
1 |
22 |
1,259 |
VOTE1 |
1 |
3 |
63 |
1,381 |
4 |
14 |
158 |
4,468 |
VOTE2 |
0 |
0 |
4 |
357 |
1 |
2 |
17 |
1,526 |
WAGE1 |
28 |
53 |
284 |
6,152 |
55 |
112 |
572 |
12,403 |
WAGE2 |
10 |
26 |
191 |
4,760 |
16 |
44 |
382 |
9,746 |
WAGEPAN |
4 |
17 |
72 |
2,205 |
9 |
32 |
128 |
4,668 |
WAGEPRC |
0 |
1 |
2 |
354 |
0 |
1 |
7 |
1,014 |
What Are We Weighting For? |
1 |
6 |
29 |
836 |
7 |
26 |
107 |
1,989 |
What Estimators Are Unbiased For Linear Models? |
0 |
0 |
1 |
42 |
0 |
0 |
3 |
23 |
When Should You Adjust Standard Errors for Clustering? |
1 |
1 |
3 |
222 |
3 |
4 |
22 |
1,416 |
When Should You Adjust Standard Errors for Clustering? |
1 |
2 |
5 |
108 |
7 |
12 |
27 |
280 |
When Should You Adjust Standard Errors for Clustering? |
0 |
1 |
3 |
95 |
0 |
4 |
8 |
192 |
Wine |
0 |
0 |
2 |
1,010 |
0 |
0 |
8 |
2,216 |
Total Working Papers |
144 |
363 |
2,634 |
98,210 |
390 |
956 |
6,144 |
239,196 |
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 |
1 |
1 |
1 |
66 |
1 |
2 |
3 |
123 |
03.2.1. Fixed Effects Estimation of the Population-Averaged Slopes in a Panel Data Random Coefficient Model—Solution |
0 |
0 |
1 |
26 |
0 |
0 |
1 |
59 |
A Capital Asset Pricing Model with Time-Varying Covariances |
0 |
1 |
18 |
3,025 |
4 |
13 |
64 |
7,646 |
A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS |
0 |
1 |
4 |
25 |
1 |
5 |
12 |
91 |
A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form |
0 |
1 |
6 |
25 |
2 |
5 |
19 |
68 |
A Simple Specification Test for the Predictive Ability of Transformation Models |
0 |
2 |
10 |
192 |
0 |
2 |
13 |
440 |
A Test for Functional Form Against Nonparametric Alternatives |
0 |
0 |
0 |
19 |
0 |
1 |
2 |
74 |
A Unified Approach to Robust, Regression-Based Specification Tests |
0 |
0 |
0 |
80 |
0 |
1 |
5 |
199 |
A computational trick for delta-method standard errors |
0 |
0 |
6 |
772 |
1 |
1 |
13 |
1,576 |
A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model |
0 |
3 |
6 |
267 |
0 |
8 |
16 |
688 |
A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching |
1 |
2 |
8 |
345 |
3 |
8 |
25 |
845 |
A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables |
0 |
0 |
2 |
286 |
1 |
2 |
7 |
547 |
A note on computing r-squared and adjusted r-squared for trending and seasonal data |
0 |
1 |
5 |
379 |
1 |
3 |
10 |
2,236 |
A note on the Lagrange multiplier and F-statistics for two stage least squares regressions |
0 |
0 |
0 |
106 |
0 |
0 |
1 |
276 |
A simple method for estimating unconditional heterogeneity distributions in correlated random effects models |
0 |
0 |
1 |
100 |
0 |
1 |
6 |
227 |
A simple test for the consistency of dynamic linear regression in rational distributed lag models |
1 |
1 |
1 |
45 |
1 |
2 |
3 |
137 |
A simple, robust test for choosing the level of fixed effects in linear panel data models |
3 |
3 |
11 |
21 |
5 |
10 |
39 |
79 |
ACKNOWLEDGMENT OF RELATED PRIOR WORK |
0 |
0 |
0 |
35 |
0 |
0 |
2 |
90 |
ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES |
1 |
2 |
5 |
55 |
1 |
2 |
9 |
166 |
Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect |
0 |
0 |
0 |
0 |
6 |
7 |
8 |
8 |
An Evaluation of Empirical Bayes’s Estimation of Value-Added Teacher Performance Measures |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
28 |
An encompassing approach to conditional mean tests with applications to testing nonnested hypotheses |
0 |
0 |
0 |
68 |
0 |
0 |
1 |
185 |
Applications of Generalized Method of Moments Estimation |
0 |
3 |
8 |
2,169 |
3 |
10 |
22 |
4,990 |
Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
553 |
Binary response panel data models with sample selection and self‐selection |
0 |
0 |
1 |
21 |
2 |
3 |
5 |
77 |
Can Value-Added Measures of Teacher Performance Be Trusted? |
0 |
0 |
2 |
66 |
1 |
4 |
9 |
206 |
Cluster-Sample Methods in Applied Econometrics |
0 |
0 |
8 |
752 |
1 |
4 |
55 |
1,842 |
Consistency of the fixed effects Poisson estimator with multiplicative measurement error and unbalanced panels |
0 |
3 |
8 |
8 |
0 |
8 |
23 |
26 |
Control Function Methods in Applied Econometrics |
5 |
31 |
126 |
1,189 |
18 |
69 |
266 |
2,328 |
Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels |
2 |
6 |
19 |
214 |
6 |
16 |
49 |
610 |
Correlated random effects models with unbalanced panels |
4 |
17 |
51 |
442 |
11 |
36 |
134 |
1,176 |
Difference-in-Differences Estimator of Quantile Treatment Effect on the Treated |
4 |
8 |
13 |
13 |
9 |
19 |
27 |
27 |
Difference-in-differences estimation (in Russian) |
0 |
0 |
0 |
273 |
0 |
0 |
6 |
547 |
Distribution-free estimation of some nonlinear panel data models |
1 |
6 |
22 |
883 |
2 |
15 |
62 |
1,797 |
Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve? |
0 |
0 |
0 |
16 |
0 |
2 |
4 |
102 |
Doubly robust estimation of multivariate fractional outcome means with multivalued treatments |
0 |
1 |
1 |
2 |
0 |
3 |
5 |
7 |
Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates |
6 |
12 |
50 |
1,317 |
15 |
37 |
116 |
3,069 |
Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data |
0 |
0 |
2 |
143 |
0 |
1 |
7 |
281 |
Efficient estimation of panel data models with strictly exogenous explanatory variables |
0 |
0 |
2 |
249 |
0 |
1 |
5 |
624 |
Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization |
0 |
0 |
0 |
192 |
0 |
1 |
4 |
387 |
Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth |
0 |
0 |
1 |
54 |
0 |
0 |
3 |
204 |
Estimating panel data models in the presence of endogeneity and selection |
2 |
9 |
29 |
760 |
4 |
25 |
87 |
1,918 |
Estimating systems of equations with different instruments for different equations |
3 |
3 |
5 |
202 |
8 |
11 |
15 |
495 |
Estimation of dynamic panel data models with sample selection |
0 |
0 |
0 |
0 |
0 |
2 |
11 |
194 |
Fixed effects instrumental variables estimation in correlated random coefficient panel data models |
0 |
0 |
2 |
410 |
1 |
5 |
10 |
1,056 |
Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models |
1 |
8 |
40 |
848 |
4 |
17 |
77 |
1,766 |
Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model |
0 |
1 |
2 |
262 |
0 |
1 |
6 |
464 |
How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added |
0 |
0 |
1 |
14 |
0 |
0 |
2 |
87 |
INSTRUMENTAL VARIABLES ESTIMATION WITH PANEL DATA |
0 |
1 |
8 |
264 |
0 |
1 |
10 |
426 |
Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data |
1 |
1 |
2 |
10 |
2 |
3 |
7 |
23 |
Inverse probability weighted M-estimators for sample selection, attrition, and stratification |
1 |
2 |
7 |
46 |
2 |
9 |
37 |
198 |
Inverse probability weighted estimation for general missing data problems |
0 |
5 |
23 |
519 |
5 |
11 |
58 |
1,253 |
Multiplicative Panel Data Models Without the Strict Exogeneity Assumption |
0 |
0 |
2 |
117 |
0 |
0 |
8 |
309 |
Non linear correlated random effects models with endogeneity and unbalanced panels |
0 |
0 |
3 |
3 |
2 |
2 |
8 |
8 |
On different approaches to obtaining partial effects in binary response models with endogenous regressors |
0 |
0 |
0 |
18 |
1 |
1 |
4 |
68 |
On estimating firm-level production functions using proxy variables to control for unobservables |
2 |
19 |
100 |
2,977 |
13 |
46 |
262 |
6,476 |
On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi |
0 |
0 |
0 |
22 |
0 |
1 |
5 |
53 |
On the application of robust, regression- based diagnostics to models of conditional means and conditional variances |
0 |
0 |
3 |
510 |
2 |
3 |
12 |
864 |
On the consistency of the logistic quasi-MLE under conditional symmetry |
0 |
1 |
3 |
17 |
0 |
3 |
8 |
54 |
On two stage least squares estimation of the average treatment effect in a random coefficient model |
0 |
1 |
6 |
438 |
0 |
2 |
18 |
1,286 |
Panel data methods for fractional response variables with an application to test pass rates |
0 |
1 |
13 |
646 |
2 |
12 |
46 |
1,629 |
Partial maximum likelihood estimation of spatial probit models |
0 |
0 |
0 |
178 |
0 |
3 |
6 |
547 |
Quasi-generalized least squares regression estimation with spatial data |
0 |
0 |
2 |
38 |
0 |
3 |
5 |
188 |
Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables |
3 |
6 |
25 |
336 |
3 |
9 |
54 |
759 |
Recent Developments in the Econometrics of Program Evaluation |
3 |
6 |
29 |
906 |
9 |
21 |
89 |
2,543 |
Rejoinder |
0 |
0 |
0 |
6 |
0 |
0 |
3 |
21 |
Revisiting regression adjustment in experiments with heterogeneous treatment effects |
0 |
3 |
27 |
95 |
0 |
5 |
45 |
232 |
Robust and Efficient Estimation of Potential Outcome Means Under Random Assignment |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
3 |
SEMIPARAMETRIC ESTIMATION OF PARTIALLY LINEAR MODELS FOR DEPENDENT DATA WITH GENERATED REGRESSORS |
0 |
0 |
1 |
56 |
0 |
1 |
3 |
145 |
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis |
0 |
1 |
2 |
41 |
1 |
4 |
13 |
186 |
Selection corrections for panel data models under conditional mean independence assumptions |
2 |
4 |
24 |
2,003 |
4 |
9 |
51 |
3,512 |
Should instrumental variables be used as matching variables? |
2 |
3 |
5 |
70 |
2 |
5 |
16 |
212 |
Simple approaches to nonlinear difference-in-differences with panel data |
2 |
6 |
16 |
16 |
6 |
25 |
55 |
57 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
1 |
3 |
1 |
2 |
6 |
19 |
Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity |
0 |
0 |
2 |
1,570 |
1 |
4 |
20 |
3,424 |
Some Alternatives to the Box-Cox Regression Model |
0 |
0 |
3 |
389 |
0 |
0 |
7 |
1,645 |
Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes |
0 |
1 |
5 |
109 |
0 |
1 |
12 |
219 |
Specification testing and quasi-maximum- likelihood estimation |
0 |
1 |
3 |
315 |
1 |
2 |
6 |
532 |
Statistical significance is okay, too: comment on "Size Matters" |
0 |
0 |
4 |
196 |
0 |
1 |
5 |
365 |
The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation |
0 |
0 |
3 |
20 |
0 |
1 |
10 |
50 |
Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers |
0 |
0 |
6 |
21 |
0 |
2 |
12 |
96 |
Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness |
0 |
0 |
1 |
16 |
0 |
1 |
5 |
98 |
Using generalized estimating equations to estimate nonlinear models with spatial data |
0 |
0 |
0 |
0 |
2 |
3 |
3 |
3 |
VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS |
0 |
2 |
6 |
121 |
2 |
5 |
13 |
259 |
What Are We Weighting For? |
3 |
11 |
43 |
703 |
14 |
33 |
118 |
1,868 |
What is a standard error? (And how should we compute it?) |
2 |
6 |
29 |
86 |
5 |
11 |
58 |
163 |
When Should You Adjust Standard Errors for Clustering? |
3 |
7 |
34 |
107 |
13 |
35 |
149 |
438 |
Total Journal Articles |
59 |
214 |
919 |
29,430 |
205 |
645 |
2,521 |
70,852 |
|
|