Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Residuals-Based Wald Test for the Linear Simultaneous Equation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
150 |
A Residuals-Based Wald Test for the Linear Simultaneous Equation |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
286 |
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees |
0 |
1 |
2 |
43 |
1 |
2 |
3 |
59 |
A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix |
7 |
11 |
31 |
1,753 |
14 |
25 |
94 |
5,224 |
A reduced bias GMM-like estimator with reduced estimator dispersion |
0 |
0 |
0 |
134 |
0 |
1 |
10 |
504 |
A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter |
0 |
0 |
0 |
121 |
0 |
0 |
0 |
362 |
Adversarial Estimation of Riesz Representers |
0 |
0 |
4 |
31 |
0 |
5 |
13 |
62 |
Alternative Asymptotics and the Partially Linear Model with Many Regressors |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
133 |
Alternative Asymptotics and the Partially Linear Model with Many Regressors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
14 |
Alternative asymptotics and the partially linear model with many regressors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
53 |
An Asymmetric Least Test of Heteroscedasticity |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
90 |
An Expository Note on the Existence of Moments of Fuller and HFUL Estimators |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
129 |
Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments |
0 |
0 |
0 |
31 |
1 |
1 |
3 |
102 |
Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
168 |
Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters |
0 |
0 |
0 |
181 |
1 |
1 |
1 |
471 |
Automatic Debiased Machine Learning of Causal and Structural Effects |
0 |
0 |
4 |
72 |
1 |
2 |
17 |
137 |
Automatic Debiased Machine Learning via Riesz Regression |
0 |
0 |
5 |
52 |
2 |
3 |
14 |
106 |
Automatic Lag Selection in Covariance Matrix Estimation |
1 |
2 |
7 |
455 |
2 |
5 |
15 |
1,377 |
Automatic Lag Selection in Covariance Matrix Estimation |
0 |
0 |
0 |
0 |
1 |
1 |
7 |
496 |
Average and Quantile Effects in Nonseparable Panel Models |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
34 |
Choosing the Number of Instruments |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
547 |
Combining Two Consistent Estimators |
0 |
0 |
0 |
68 |
0 |
1 |
2 |
171 |
Conditional Moment Restrictions in Censored and Truncated Regression Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
365 |
Consistency and Asymptotic Normality of Nonparametric Projection Estimators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
128 |
Constrained conditional moment restriction models |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
88 |
Control Variables, Discrete Instruments, and Identification of Structural Functions |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
66 |
Control Variables, Discrete Instruments, and Identification of Structural Functions |
0 |
0 |
0 |
22 |
0 |
1 |
1 |
43 |
Control variables, discrete instruments, and identification of structural functions |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
31 |
Convergence Rates & Asymptotic Normality Estimators |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
259 |
Convergence Rates for Series Estimators |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
310 |
Cross-fitting and fast remainder rates for semiparametric estimation |
0 |
0 |
0 |
24 |
1 |
3 |
4 |
72 |
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers |
0 |
0 |
0 |
72 |
0 |
0 |
2 |
115 |
Demand Analysis with Many Prices |
0 |
0 |
0 |
95 |
0 |
0 |
3 |
131 |
Demand analysis with many prices |
0 |
0 |
0 |
7 |
0 |
1 |
4 |
47 |
Density Weighted Linear Least Squares |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
451 |
Density Weighted Linear Least Squares |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
70 |
Double machine learning for treatment and causal parameters |
0 |
2 |
5 |
117 |
1 |
8 |
24 |
526 |
Double/Debiased Machine Learning for Treatment and Causal Parameters |
23 |
76 |
358 |
1,049 |
65 |
213 |
881 |
2,693 |
Double/Debiased Machine Learning for Treatment and Structural Parameters |
0 |
2 |
7 |
118 |
12 |
38 |
93 |
405 |
Double/de-biased machine learning using regularized Riesz representers |
0 |
1 |
2 |
32 |
1 |
2 |
4 |
75 |
Double/debiased machine learning for treatment and structural parameters |
0 |
0 |
1 |
34 |
4 |
8 |
21 |
108 |
EFFICIENT ESTIMATION OF SEMIPARAMETRIC MODELS VIA MOMENT RESTRICTIONS |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
458 |
EFFICIENT INSTRUMENTAL VARIABLES ESTIMATION OF NONLINEAR MODELS |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
326 |
Efficiency of Weighted Average Derivative Estimators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
255 |
Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
141 |
Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
145 |
Estimation with many instrumental variables |
0 |
1 |
2 |
173 |
1 |
3 |
5 |
449 |
Fisher-Schultz Lecture: Linear Estimation of Structural and Causal Effects for Nonseparable Panel Data |
3 |
14 |
14 |
14 |
5 |
16 |
16 |
16 |
Flexible Simulated Moment Estimation of Nonlinear Errors-in-Variables Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
295 |
Flexible Simulation Moment Estimation of Nonlinear Errors- in- Variables Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
132 |
GMM with many weak moment conditions |
0 |
0 |
0 |
347 |
0 |
0 |
1 |
924 |
Heterogeneous Coefficients, Control Variables, and Identification of Multiple Treatment Effects |
0 |
0 |
1 |
39 |
0 |
0 |
2 |
23 |
Heterogenous coefficients, discrete instruments, and identification of treatment effects |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Higher order properties of GMM and generalised empirical likelihood estimators |
0 |
0 |
0 |
458 |
0 |
0 |
3 |
1,003 |
Identification and Estimation of Marginal Effects in Nonlinear Panel Models |
0 |
0 |
0 |
47 |
0 |
2 |
5 |
175 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
0 |
0 |
0 |
284 |
0 |
0 |
6 |
1,217 |
Identification and Estimation of Triangular Simultaneous Equations Models without Additivity |
2 |
3 |
4 |
242 |
3 |
4 |
8 |
775 |
Identification and estimation of marginal effects in nonlinear panel models |
0 |
0 |
1 |
31 |
0 |
0 |
3 |
117 |
Identification and estimation of marginal effects in nonlinear panel models |
0 |
0 |
1 |
106 |
0 |
0 |
2 |
323 |
Identification of Treatment Effects under Limited Exogenous Variation |
0 |
0 |
0 |
24 |
2 |
2 |
2 |
35 |
Implementing Causality Tests with Panel Data, with an Example from LocalPublic Finance |
0 |
0 |
0 |
256 |
0 |
0 |
1 |
568 |
Individual Heterogeneity and Average Welfare |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
41 |
Individual Heterogeneity, Nonlinear Budget Sets, and Taxable Income |
0 |
0 |
0 |
34 |
0 |
1 |
1 |
98 |
Individual Heterogeneity, Nonlinear Budget Sets, and Taxable Income |
0 |
0 |
0 |
34 |
0 |
0 |
3 |
104 |
Individual heterogeneity and average welfare |
0 |
0 |
0 |
66 |
1 |
1 |
1 |
187 |
Individual heterogeneity, nonlinear budget sets and taxable income |
0 |
0 |
0 |
26 |
1 |
1 |
2 |
73 |
Individual heterogeneity, nonlinear budget sets, and taxable income |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
41 |
Inference in Linear Regression Models with Many Covariates and Heteroscedasticity |
0 |
0 |
1 |
5 |
0 |
0 |
2 |
21 |
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity |
0 |
0 |
1 |
3 |
1 |
1 |
2 |
52 |
Inference in linear regression models with many covariates and heteroskedasticity |
0 |
0 |
0 |
50 |
0 |
1 |
1 |
96 |
Instrumental Variable Estimation with Heteroskedasticity and Many Instruments |
0 |
1 |
1 |
54 |
0 |
3 |
8 |
201 |
Instrumental Variable Estimation with Heteroskedasticity and Many Instruments |
0 |
0 |
1 |
56 |
0 |
1 |
3 |
147 |
Instrumental variable estimation with heteroskedasticity and many instruments |
0 |
0 |
1 |
129 |
0 |
0 |
3 |
342 |
Instrumental variables estimation for nonparametric models |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
47 |
Instrumental variables estimation with flexible distribution |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
161 |
Jackknife and analytical bias reduction for nonlinear panel models |
0 |
0 |
1 |
323 |
0 |
0 |
3 |
789 |
Kernel Estimation of Partial Means and a General Variance Estimator |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
352 |
LOCALLY EFFICIENT, RESIDUAL-BASED ESTIMATION OF NONLINEAR SIMULTANEOUS EQUATIONS |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
235 |
Local Identification of Nonparametric and Semiparametric Models |
0 |
1 |
1 |
13 |
0 |
2 |
4 |
136 |
Local Identification of Nonparametric and Semiparametric Models |
0 |
0 |
0 |
49 |
1 |
1 |
2 |
173 |
Local identification of nonparametric and semiparametric models |
0 |
0 |
0 |
31 |
1 |
2 |
13 |
136 |
Local identification of nonparametric and semiparametric models |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
80 |
Locally Robust Semiparametric Estimation |
0 |
0 |
3 |
26 |
0 |
1 |
6 |
187 |
Locally robust semiparametric estimation |
0 |
1 |
1 |
18 |
0 |
3 |
6 |
93 |
Locally robust semiparametric estimation |
0 |
0 |
0 |
32 |
1 |
3 |
4 |
167 |
Long Story Short: Omitted Variable Bias in Causal Machine Learning |
0 |
0 |
3 |
32 |
1 |
3 |
14 |
157 |
Mean-square-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
265 |
0 |
2 |
2 |
3,043 |
Mean-squared-error Calculations for Average Treatment Effects |
0 |
0 |
0 |
86 |
1 |
2 |
5 |
688 |
Minimax Semiparametric Learning With Approximate Sparsity |
0 |
0 |
0 |
12 |
0 |
1 |
4 |
26 |
Minimum Chi-Square and Three-Stage Least Squares in Fixed Effects Models |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
50 |
Nonlinear Budget Set Regressions for the Random Utility Model |
0 |
0 |
1 |
11 |
1 |
1 |
4 |
19 |
Nonlinear Budget Set Regressions for the Random Utility Model |
0 |
0 |
0 |
24 |
1 |
1 |
1 |
17 |
Nonlinear Errors in Variables: Estimation of Some Engel Curves |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
197 |
Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
262 |
Nonparametric Estimation of Labor Supply Functions Generated by Piece Wise Linear Budget Constraints |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
489 |
Nonparametric Estimation of Labor Supply Functions Generated by Piece Wise Linear Budget Constraints |
0 |
0 |
0 |
183 |
0 |
0 |
1 |
1,153 |
Nonparametric Estimation of Triangular Simultaneous Equations Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
270 |
Nonparametric Estimation of Triangular Simultaneous Equations Models |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
305 |
Nonparametric Estimation with Nonlinear Budget Sets |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
296 |
Nonparametric Identification in Panels using Quantiles |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
12 |
Nonparametric identification in panels using quantiles |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
39 |
Nonparametric identification in panels using quantiles |
0 |
0 |
0 |
12 |
1 |
1 |
1 |
59 |
Nonseparable Multinomial Choice Models in Cross-Section and Panel Data |
0 |
0 |
0 |
44 |
0 |
0 |
0 |
23 |
Nonseparable multinomial choice models in cross-section and panel data |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
24 |
On Bunching and Identification of the Taxable Income Elasticity |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
118 |
Quantile and average effects in nonseparable panel models |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
113 |
SEMIPARAMETRIC ESTIMATION OF SELECTION MODELS: SOME EMPIRICAL RESULTS |
0 |
0 |
0 |
1 |
0 |
2 |
4 |
340 |
SERIES ESTIMATION OF REGRESSION FUNCTIONALS |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
320 |
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
90 |
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
59 |
Semiparametric Identification And Estimation Of Polynomial Errors-In-Variables Models |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
6 |
Semiparametric efficient empirical higher order influence function estimators |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
26 |
Semiparametric estimation of structural functions in nonseparable triangular models |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
35 |
Simultaneous Confidence Intervals for High-dimensional Linear Models with Many Endogenous Variables |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
23 |
Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables |
0 |
0 |
0 |
4 |
2 |
2 |
3 |
25 |
THE ASYMPTOTIC VARIANCE OF SEMIPARAMETRIC ESTIMOTORS |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
200 |
Tax Reform Evaluation Using Nonparametric Methods: Sweden 1980 - 1991 |
0 |
0 |
0 |
94 |
0 |
0 |
0 |
909 |
Tax Reform Evaluation Using Nonparametric Methods: Sweden 1980 - 1991 |
0 |
0 |
0 |
192 |
0 |
0 |
0 |
1,107 |
Tax Reform Evaluation Using Nonparametric Methods: Sweden 1980-1991 |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
630 |
Testing Overidentifying Restrictions with Many Instruments and Heteroskedasticity |
1 |
1 |
1 |
65 |
1 |
1 |
6 |
219 |
Testing the Drift-Diffusion Model |
0 |
0 |
0 |
3 |
0 |
0 |
5 |
46 |
Tests for neglected heterogeneity in moment condition models |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
99 |
The Asymptotic Variance of Semiparametric Estimators |
0 |
0 |
0 |
0 |
0 |
2 |
11 |
221 |
The Bunching Estimator Cannot Identify the Taxable Income Elasticity |
0 |
0 |
1 |
72 |
0 |
1 |
6 |
181 |
The Influence Function of Semiparametric Estimators |
0 |
0 |
0 |
20 |
2 |
4 |
4 |
104 |
The Kink and Notch Bunching Estimators Cannot Identify the Taxable Income Elasticity |
0 |
0 |
1 |
83 |
1 |
1 |
4 |
253 |
The Revenues-Expenditures Nexus: Evidence from Local Government Data |
0 |
0 |
0 |
133 |
1 |
1 |
3 |
435 |
The bunching estimator cannot identify the taxable income elasticity |
0 |
0 |
0 |
23 |
0 |
2 |
3 |
52 |
The influence function of semiparametric estimators |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
44 |
The influence function of semiparametric estimators |
0 |
0 |
0 |
49 |
2 |
2 |
2 |
132 |
Treatment Effects with Many Covariates and Heteroskedasticity |
0 |
0 |
0 |
22 |
0 |
1 |
4 |
53 |
Treatment effects with many covariates and heteroskedasticity |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
46 |
Two Step Series Estimation of Sample Selection Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,016 |
Two-Step Estimation, Optimal Moment Conditions, and Sample Selection Models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
332 |
UNIFORM CONVERGENCE IN PROBABILITY AND STOCHASTIC EQUICONTINUITY |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
638 |
Undersmoothing and Bias Corrected Functional Estimation |
0 |
0 |
0 |
0 |
2 |
7 |
30 |
525 |
Wages and Hours: Estimating Vector Autoregressions with Panel Data |
0 |
0 |
1 |
16 |
0 |
0 |
3 |
56 |
Welfare Analysis in Dynamic Models |
0 |
0 |
0 |
17 |
1 |
4 |
6 |
37 |
Total Working Papers |
37 |
117 |
468 |
9,605 |
150 |
428 |
1,509 |
43,628 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Comparison of Partially Adaptive and Reweighted Least Squares Estimation |
0 |
0 |
0 |
42 |
1 |
1 |
1 |
174 |
A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix |
8 |
28 |
105 |
5,836 |
35 |
119 |
432 |
16,524 |
A jackknife interpretation of the continuous updating estimator |
0 |
0 |
1 |
70 |
0 |
0 |
1 |
183 |
A large-sample chow test for the linear simultaneous equation |
0 |
0 |
0 |
117 |
0 |
0 |
3 |
358 |
A method of moments interpretation of sequential estimators |
0 |
0 |
8 |
477 |
1 |
1 |
17 |
788 |
A recentering approach for interpreting interaction effects from logit, probit, and other nonlinear models |
0 |
1 |
1 |
14 |
1 |
2 |
3 |
37 |
A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix |
7 |
12 |
34 |
671 |
15 |
29 |
109 |
2,193 |
ALTERNATIVE ASYMPTOTICS AND THE PARTIALLY LINEAR MODEL WITH MANY REGRESSORS |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
27 |
ASYMPTOTIC DISTRIBUTION OF JIVE IN A HETEROSKEDASTIC IV REGRESSION WITH MANY INSTRUMENTS |
0 |
0 |
4 |
19 |
1 |
2 |
10 |
102 |
Adaptive estimation of regression models via moment restrictions |
0 |
0 |
1 |
124 |
0 |
0 |
5 |
245 |
Asymmetric Least Squares Estimation and Testing |
1 |
5 |
18 |
576 |
2 |
8 |
36 |
1,509 |
Asymptotic Bias for Quasi-Maximum-Likelihood Estimators in Conditional Heteroskedasticity Models |
0 |
0 |
0 |
0 |
2 |
2 |
4 |
424 |
Asymptotic Equivalence of Closest Moments and GMM Estimators |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
16 |
Automatic Lag Selection in Covariance Matrix Estimation |
3 |
4 |
32 |
1,107 |
6 |
12 |
69 |
3,082 |
Average and Quantile Effects in Nonseparable Panel Models |
0 |
0 |
0 |
38 |
0 |
3 |
6 |
193 |
CONDITIONAL MOMENT RESTRICTIONS IN CENSORED AND TRUNCATED REGRESSION MODELS |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
54 |
Choosing instrumental variables in conditional moment restriction models |
0 |
0 |
0 |
88 |
1 |
1 |
2 |
268 |
Choosing the Number of Instruments |
0 |
0 |
0 |
1 |
1 |
2 |
8 |
792 |
Consistency of two-step sample selection estimators despite misspecification of distribution |
0 |
0 |
2 |
72 |
0 |
0 |
3 |
197 |
Control variables, discrete instruments, and identification of structural functions |
0 |
2 |
6 |
12 |
0 |
4 |
8 |
40 |
Convergence rates and asymptotic normality for series estimators |
2 |
4 |
15 |
1,122 |
2 |
6 |
32 |
1,835 |
Double/Debiased/Neyman Machine Learning of Treatment Effects |
0 |
0 |
2 |
72 |
1 |
7 |
15 |
281 |
Double/debiased machine learning for treatment and structural parameters |
3 |
6 |
21 |
102 |
10 |
25 |
99 |
389 |
ECONOMICS TO ECONOMETRICS: IN HONOR OF DANIEL L. McFADDEN |
0 |
0 |
0 |
72 |
0 |
0 |
1 |
205 |
Efficiency bounds for some semiparametric selection models |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
93 |
Efficiency of Weighted Average Derivative Estimators and Index Models |
0 |
1 |
5 |
150 |
0 |
1 |
7 |
758 |
Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions |
0 |
0 |
2 |
172 |
1 |
1 |
12 |
619 |
Efficient Estimation of Linear and Type I Censored Regression Models Under Conditional Quantile Restrictions |
1 |
1 |
1 |
42 |
1 |
1 |
4 |
104 |
Efficient Instrumental Variables Estimation of Nonlinear Models |
0 |
0 |
3 |
399 |
2 |
2 |
10 |
1,185 |
Efficient Semiparametric Estimation of Expectations |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
225 |
Efficient Semiparametric Estimation via Moment Restrictions |
0 |
0 |
0 |
100 |
0 |
0 |
0 |
311 |
Efficient estimation of limited dependent variable models with endogenous explanatory variables |
1 |
4 |
14 |
1,402 |
1 |
7 |
33 |
2,341 |
Empirical likelihood estimation and consistent tests with conditional moment restrictions |
0 |
1 |
1 |
227 |
0 |
1 |
3 |
478 |
Estimating Vector Autoregressions with Panel Data |
4 |
17 |
83 |
3,991 |
13 |
39 |
224 |
9,097 |
Estimation With Many Instrumental Variables |
0 |
1 |
13 |
138 |
0 |
2 |
18 |
318 |
Flexible Simulated Moment Estimation Of Nonlinear Errors-In-Variables Models |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
212 |
Generalized Method of Moments With Many Weak Moment Conditions |
0 |
1 |
3 |
132 |
0 |
1 |
4 |
392 |
Generalized Method of Moments, Efficient Bootstrapping, and Improved Inference |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
439 |
Generalized method of moments specification testing |
0 |
1 |
3 |
644 |
0 |
1 |
6 |
1,118 |
Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators |
0 |
1 |
5 |
321 |
0 |
2 |
9 |
908 |
Hypothesis Testing with Efficient Method of Moments Estimation |
0 |
2 |
11 |
634 |
5 |
12 |
42 |
2,247 |
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity |
1 |
3 |
3 |
152 |
3 |
9 |
12 |
396 |
Identification and estimation of polynomial errors-in-variables models |
0 |
0 |
1 |
217 |
3 |
3 |
10 |
428 |
Individual Heterogeneity and Average Welfare |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
81 |
Inference in Linear Regression Models with Many Covariates and Heteroscedasticity |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
24 |
Instrumental Variable Estimation of Nonparametric Models |
0 |
0 |
0 |
297 |
4 |
7 |
17 |
753 |
Instrumental Variables Estimation With Flexible Distributions |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
109 |
Instrumental variable estimation of nonseparable models |
0 |
0 |
0 |
173 |
0 |
0 |
1 |
355 |
Instrumental variable estimation with heteroskedasticity and many instruments |
0 |
0 |
2 |
32 |
0 |
2 |
7 |
127 |
Introduction à la théorie des bornes d'efficacité semi-paramétriques |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
Jackknife and Analytical Bias Reduction for Nonlinear Panel Models |
0 |
2 |
3 |
171 |
1 |
4 |
10 |
658 |
Kernel Estimation of Partial Means and a General Variance Estimator |
1 |
2 |
4 |
91 |
1 |
3 |
8 |
183 |
Linear instrumental variable estimation of limited dependent variable models with endogenous explanatory variables |
0 |
0 |
0 |
75 |
0 |
0 |
1 |
166 |
Local Identification of Nonparametric and Semiparametric Models |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
111 |
Maximum Likelihood Specification Testing and Conditional Moment Tests |
0 |
0 |
2 |
364 |
0 |
0 |
3 |
836 |
NONPARAMETRIC CONTINUOUS/DISCRETE CHOICE MODELS |
0 |
0 |
0 |
20 |
0 |
0 |
1 |
83 |
Neglected heterogeneity in moment condition models |
0 |
0 |
0 |
20 |
0 |
0 |
1 |
88 |
Nonlinear errors in variables Estimation of some Engel curves |
0 |
1 |
1 |
272 |
0 |
1 |
1 |
618 |
Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss |
0 |
1 |
2 |
342 |
0 |
1 |
5 |
936 |
Nonparametric Estimation of Sample Selection Models |
2 |
4 |
11 |
109 |
3 |
5 |
22 |
1,017 |
Nonparametric Estimation of Triangular Simultaneous Equations Models |
0 |
0 |
0 |
1 |
2 |
4 |
10 |
651 |
Nonparametric Estimation with Nonlinear Budget Sets |
0 |
0 |
0 |
131 |
0 |
1 |
2 |
477 |
Nonparametric Instrumental Variables Estimation |
0 |
0 |
0 |
55 |
0 |
0 |
4 |
178 |
Nonparametric Welfare Analysis |
1 |
1 |
1 |
14 |
1 |
2 |
4 |
59 |
Nonparametric identification in panels using quantiles |
0 |
0 |
1 |
16 |
0 |
0 |
1 |
93 |
Nonseparable multinomial choice models in cross-section and panel data |
1 |
1 |
2 |
13 |
3 |
3 |
5 |
65 |
On Bunching and Identification of the Taxable Income Elasticity |
0 |
0 |
26 |
50 |
2 |
7 |
67 |
167 |
Over-Identification Tests in Earnings Functions with Fixed Effects |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
714 |
Partially Adaptive Estimation of Regression Models via the Generalized T Distribution |
0 |
0 |
7 |
77 |
1 |
2 |
11 |
165 |
Properties of the CUE estimator and a modification with moments |
1 |
3 |
10 |
57 |
2 |
4 |
21 |
184 |
Semiparametric Efficiency Bounds |
0 |
0 |
3 |
945 |
1 |
1 |
8 |
1,772 |
Semiparametric Estimation of Selection Models: Some Empirical Results |
0 |
1 |
5 |
532 |
1 |
4 |
12 |
1,051 |
Semiparametric estimation of structural functions in nonseparable triangular models |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
26 |
Sequential R&D Strategy for Synfuels |
0 |
0 |
0 |
48 |
0 |
0 |
1 |
422 |
Series Estimation of Regression Functionals |
0 |
0 |
0 |
28 |
1 |
1 |
3 |
82 |
Series Estimation of Semilinear Models |
0 |
0 |
2 |
88 |
0 |
1 |
4 |
181 |
Specification tests for distributional assumptions in the Tobit model |
0 |
0 |
0 |
229 |
0 |
0 |
2 |
564 |
Tax reform evaluation using non-parametric methods: Sweden 1980-1991 |
0 |
0 |
0 |
65 |
0 |
0 |
0 |
266 |
Testing overidentifying restrictions with many instruments and heteroskedasticity |
0 |
0 |
1 |
34 |
0 |
1 |
2 |
168 |
Testing the drift-diffusion model |
0 |
0 |
1 |
2 |
0 |
0 |
6 |
20 |
The Asymptotic Variance of Semiparametric Estimators |
3 |
3 |
13 |
447 |
5 |
8 |
36 |
1,207 |
The Revenues-Expenditures Nexus: Evidence from Local Government Data |
0 |
0 |
1 |
164 |
0 |
1 |
4 |
589 |
Treatment effects (in Russian) |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
46 |
Twicing Kernels and a Small Bias Property of Semiparametric Estimators |
0 |
0 |
0 |
56 |
0 |
0 |
4 |
330 |
Two-step series estimation of sample selection models |
0 |
0 |
0 |
128 |
0 |
2 |
9 |
401 |
Uniform Convergence in Probability and Stochastic Equicontinuity |
0 |
0 |
0 |
808 |
0 |
0 |
2 |
2,075 |
Total Journal Articles |
40 |
114 |
496 |
25,499 |
137 |
376 |
1,569 |
69,685 |