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12 months |
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Last month |
3 months |
12 months |
Total |

A Rational Rank Four Demand System |
0 |
0 |
0 |
177 |
0 |
1 |
2 |
763 |

A Simple Estimator for Binary Choice Models With Endogenous Regressors |
0 |
0 |
3 |
51 |
0 |
0 |
6 |
208 |

A Simple Estimator for Binary Choice Models with Endogenous Regressors |
0 |
0 |
3 |
311 |
0 |
0 |
14 |
691 |

A Simple Ordered Data Estimator For Inverse Density Weighted Functions |
0 |
0 |
0 |
126 |
0 |
1 |
1 |
987 |

A simple alternative to the linear probability model for binary choice models with endogenous regressors |
0 |
0 |
3 |
220 |
1 |
1 |
10 |
519 |

Advice on using heteroscedasticity based identification |
0 |
0 |
4 |
155 |
2 |
2 |
9 |
352 |

An Overview of the Special Regressor Method |
2 |
2 |
5 |
150 |
3 |
3 |
41 |
449 |

Asymptotic Trimming for Bounded Density Plug-in Estimators |
0 |
0 |
0 |
52 |
0 |
0 |
2 |
371 |

Binary choice models with endogenous regressors |
2 |
2 |
7 |
344 |
2 |
2 |
10 |
637 |

Calculating Compensation in Cases of Wrongful Death |
0 |
0 |
0 |
346 |
1 |
3 |
6 |
2,053 |

Children's Resources in Collective Households: Identification, Estimation and an Application to Child Poverty in Malawi |
0 |
1 |
1 |
135 |
0 |
2 |
4 |
362 |

Coherence and Completeness of Structural Models Containing a Dummy Endogenous Variable |
0 |
0 |
0 |
233 |
0 |
1 |
8 |
1,048 |

Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors |
0 |
1 |
3 |
163 |
0 |
1 |
9 |
386 |

Consumption Peer Effects and Utility Needs in India |
0 |
0 |
2 |
36 |
0 |
1 |
3 |
107 |

Demand Systems With Nonstationary Prices |
1 |
1 |
2 |
338 |
1 |
1 |
3 |
1,149 |

Demand system rank: direct utility, Garp tests and portfolio separation |
0 |
0 |
1 |
5 |
0 |
0 |
2 |
351 |

Endogenous Selection Or Treatment Model Estimation |
0 |
0 |
0 |
959 |
0 |
0 |
1 |
3,117 |

Estimating A Model of Inefficient Cooperation and Consumption in Collective Households |
1 |
2 |
6 |
9 |
2 |
4 |
11 |
25 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
1 |
3 |
326 |
0 |
4 |
9 |
920 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
0 |
1 |
632 |
0 |
1 |
7 |
2,106 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
0 |
1 |
202 |
0 |
0 |
2 |
610 |

Estimating Features of a Distribution from Binomial Data |
0 |
0 |
1 |
211 |
0 |
0 |
2 |
1,292 |

Estimating Social Network Models with Missing Links |
8 |
10 |
47 |
47 |
22 |
27 |
53 |
53 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
105 |
0 |
0 |
0 |
712 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
44 |

Estimation of Average Treatment Effects With Misclassification |
1 |
1 |
1 |
206 |
2 |
2 |
3 |
689 |

Estimation of Average Treatment Effects With Misclassification |
0 |
0 |
0 |
69 |
0 |
0 |
1 |
392 |

Estimation of Collective Household Models With Engel Curves |
1 |
1 |
2 |
199 |
2 |
2 |
6 |
519 |

Generalized Random Coefficients With Equivalence Scale Applications |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
123 |

Health and Retirement Effects in a Collective Consumption Model of Elderly Households |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
52 |

Health and Retirement Effects in a Collective Consumption Model of Older Households |
0 |
0 |
0 |
69 |
0 |
0 |
0 |
164 |

Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case |
0 |
0 |
1 |
75 |
1 |
5 |
11 |
130 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors |
0 |
0 |
0 |
30 |
0 |
0 |
2 |
87 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors, Second Version |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
59 |

Identification and Nonparametric Estimation of a Transformed Additively Separable Model |
0 |
0 |
0 |
58 |
0 |
1 |
3 |
271 |

Identification and nonparametric estimation of a transformed additively separable model |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
55 |

Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions |
0 |
0 |
4 |
48 |
1 |
2 |
7 |
99 |

Identification of Semiparametric Model Coefficients, With an Application to Collective Households |
0 |
0 |
2 |
15 |
0 |
0 |
6 |
46 |

Identification of a Triangular Two Equation System Without Instruments |
1 |
1 |
6 |
59 |
2 |
2 |
13 |
72 |

Identification of the Binary Choice Model with Misclassification |
0 |
0 |
2 |
293 |
0 |
0 |
3 |
1,310 |

Identifying the Average Treatment Effect in a Two Threshold Model |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
113 |

Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models |
0 |
1 |
4 |
89 |
1 |
4 |
11 |
251 |

Identifying the Returns to Lying When the Truth is Unobserved |
0 |
0 |
0 |
39 |
0 |
1 |
3 |
128 |

Identifying the returns to lying when the truth is unobserved |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
137 |

Inefficient Collective Households: Cooperation and Consumption |
0 |
1 |
1 |
36 |
1 |
3 |
5 |
99 |

Instrumental variables estimation using heteroskedasticity-based instruments |
1 |
3 |
10 |
181 |
2 |
7 |
20 |
485 |

Instrumental variables estimation using heteroskedasticity-based instruments |
0 |
2 |
11 |
293 |
3 |
7 |
42 |
617 |

Kotlarski with a Factor Loading |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
32 |

LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India |
0 |
0 |
0 |
74 |
1 |
1 |
5 |
144 |

LATE with Missing or Mismeasured Treatment |
0 |
0 |
0 |
78 |
0 |
1 |
3 |
139 |

Limited Monotonicity and the Combined Compliers LATE |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
4 |

Limited Monotonicity and the Combined Compliers LATE |
0 |
1 |
28 |
28 |
1 |
3 |
21 |
21 |

Modeling Heterogeneity |
0 |
0 |
0 |
149 |
0 |
0 |
5 |
437 |

Mutual Fund Separation with General Preferences |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
360 |

Nonparametric Censored Regression |
0 |
0 |
0 |
410 |
0 |
0 |
0 |
1,372 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
0 |
197 |
0 |
0 |
1 |
528 |

Nonparametric Censored and Truncated Regression |
0 |
1 |
1 |
5 |
0 |
1 |
3 |
70 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
1 |
479 |
0 |
0 |
4 |
1,885 |

Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation |
0 |
0 |
0 |
46 |
0 |
0 |
3 |
176 |

Nonparametric Estimation of Homothetic and Homothetically Separable Functions |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
22 |

Nonparametric Euler Equation Identi?cation and Estimation |
0 |
0 |
1 |
27 |
0 |
0 |
1 |
28 |

Nonparametric Euler Equation Identification and Estimation |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
174 |

Nonparametric Euler Equation Identification andEstimation |
0 |
0 |
0 |
46 |
0 |
0 |
6 |
100 |

Nonparametric Euler equation identification and estimation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Nonparametric Euler equation identification and estimation |
0 |
0 |
0 |
41 |
0 |
0 |
4 |
113 |

Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information |
0 |
0 |
0 |
87 |
0 |
1 |
2 |
258 |

Nonparametric Identification of Accelerated Failure Time Competing Risks Models |
0 |
0 |
1 |
42 |
1 |
1 |
2 |
145 |

Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments |
0 |
0 |
0 |
63 |
0 |
1 |
2 |
235 |

Nonparametric Identification of a Binary Random Factor in Cross Section Data |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
147 |

Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions |
0 |
0 |
0 |
135 |
1 |
1 |
1 |
726 |

Nonparametric censored and truncated regression |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
75 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
30 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
310 |

Nonparametric identification and estimation of nonclassical errors-in-variables models without additional information |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
113 |

Nonparametric identification of a binary random factor in cross section data |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
78 |

Nonparametric identification of accelerated failure time competing risks models |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
128 |

Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
162 |

Nonparametric identification of the classical errors-in-variables model without side information |
0 |
0 |
0 |
84 |
0 |
0 |
0 |
271 |

Nonparametric identification of the classical errors-in-variables model without side information |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
137 |

Ordered Response Threshold Estimation |
0 |
0 |
0 |
154 |
0 |
0 |
0 |
597 |

Over-Identified Doubly Robust Identification and Estimation |
0 |
0 |
0 |
41 |
0 |
0 |
2 |
72 |

Regression Discontinuity Marginal Threshold Treatment Effects |
0 |
0 |
0 |
43 |
1 |
3 |
6 |
242 |

Regressor Dimension Reduction with Economic Constraints: The Example of Demand Systems with Many Goods |
0 |
0 |
0 |
64 |
0 |
0 |
1 |
336 |

Relaxing Hicks-Leontief price aggregation by allowing overlapping groups of goods |
2 |
2 |
3 |
12 |
2 |
3 |
8 |
612 |

Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved |
0 |
0 |
0 |
48 |
1 |
2 |
2 |
214 |

Semiparametric Binary Choice Panel Data Models without Strictly Exogeneous Regressors |
0 |
1 |
1 |
235 |
0 |
1 |
20 |
946 |

Semiparametric Identification and Estimation of Multinomial Discrete Choice Models using Error Symmetry |
0 |
0 |
2 |
33 |
0 |
2 |
6 |
57 |

Semiparametric Qualitative Response Model Estimation with Unknown Heteroskedasticity or Instrumental Variables |
1 |
1 |
3 |
527 |
2 |
2 |
9 |
1,954 |

Shape Invariant Demand Functions |
0 |
0 |
0 |
74 |
0 |
0 |
1 |
343 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
14 |
1 |
1 |
3 |
141 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
44 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
1 |
36 |
0 |
1 |
2 |
141 |

Sharing rule identification for general collective consumption models |
0 |
0 |
1 |
63 |
0 |
1 |
4 |
215 |

Simple Endogenous Binary Choice and Selection Panel Model Estimators |
0 |
0 |
2 |
336 |
0 |
1 |
5 |
864 |

Simple Estimators for Binary Choice Models with Endogenous Regressors |
0 |
1 |
2 |
194 |
0 |
1 |
7 |
525 |

Social Networks with Mismeasured Links |
2 |
2 |
6 |
39 |
3 |
6 |
20 |
59 |

Social Networks with Unobserved Links |
3 |
5 |
40 |
110 |
8 |
15 |
94 |
262 |

Sparse demand systems: corners and complements |
1 |
1 |
4 |
32 |
3 |
4 |
13 |
77 |

Sparse demand systems: corners and complements |
0 |
0 |
1 |
18 |
0 |
1 |
4 |
36 |

Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models |
0 |
0 |
0 |
28 |
0 |
0 |
3 |
135 |

Statistical analysis of choice experiments and surveys |
0 |
0 |
0 |
0 |
0 |
0 |
41 |
199 |

Tax reform and welfare measurement: do we need demand system estimation? |
0 |
1 |
2 |
16 |
0 |
2 |
6 |
634 |

The Identification Zoo - Meanings of Identification in Econometrics |
2 |
4 |
7 |
299 |
3 |
5 |
21 |
642 |

Tricks With Hicks: The EASI Demand System |
0 |
0 |
3 |
305 |
1 |
2 |
12 |
1,274 |

Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing |
0 |
1 |
2 |
56 |
0 |
3 |
19 |
227 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
82 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
1 |
12 |
0 |
1 |
4 |
70 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
210 |

Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models |
0 |
2 |
7 |
485 |
2 |
5 |
34 |
1,461 |

Weighted and Two Stage Least Squares Estimation of Semiparametric Truncated Regression Models |
0 |
0 |
0 |
490 |
0 |
0 |
1 |
2,480 |

Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited |
0 |
0 |
0 |
174 |
0 |
1 |
9 |
588 |

Why is consumption more log normal than income? Gibrat's law revisited |
0 |
1 |
1 |
118 |
0 |
2 |
4 |
525 |

Total Working Papers |
29 |
54 |
258 |
13,687 |
80 |
168 |
790 |
49,900 |