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

A Rational Rank Four Demand System |
0 |
0 |
0 |
177 |
0 |
1 |
3 |
761 |

A Simple Estimator for Binary Choice Models With Endogenous Regressors |
0 |
1 |
1 |
48 |
1 |
3 |
6 |
202 |

A Simple Estimator for Binary Choice Models with Endogenous Regressors |
0 |
0 |
8 |
308 |
2 |
5 |
23 |
676 |

A Simple Ordered Data Estimator For Inverse Density Weighted Functions |
0 |
0 |
0 |
126 |
0 |
0 |
0 |
986 |

A simple alternative to the linear probability model for binary choice models with endogenous regressors |
1 |
1 |
3 |
216 |
3 |
5 |
14 |
506 |

Advice on using heteroscedasticity based identification |
2 |
4 |
12 |
150 |
5 |
11 |
39 |
342 |

An Overview of the Special Regressor Method |
1 |
2 |
2 |
144 |
2 |
16 |
63 |
405 |

Asymptotic Trimming for Bounded Density Plug-in Estimators |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
369 |

Binary choice models with endogenous regressors |
0 |
1 |
6 |
337 |
2 |
5 |
19 |
627 |

Calculating Compensation in Cases of Wrongful Death |
0 |
0 |
2 |
346 |
1 |
3 |
8 |
2,047 |

Children's Resources in Collective Households: Identification, Estimation and an Application to Child Poverty in Malawi |
0 |
0 |
0 |
134 |
0 |
1 |
1 |
358 |

Coherence and Completeness of Structural Models Containing a Dummy Endogenous Variable |
0 |
0 |
1 |
233 |
1 |
3 |
14 |
1,039 |

Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors |
0 |
0 |
1 |
160 |
0 |
1 |
3 |
377 |

Consumption Peer Effects and Utility Needs in India |
0 |
0 |
5 |
33 |
0 |
0 |
17 |
103 |

Demand Systems With Nonstationary Prices |
0 |
0 |
0 |
336 |
0 |
0 |
0 |
1,146 |

Demand system rank: direct utility, Garp tests and portfolio separation |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
349 |

Endogenous Selection Or Treatment Model Estimation |
0 |
1 |
3 |
959 |
0 |
2 |
11 |
3,116 |

Estimating A Model of Inefficient Cooperation and Consumption in Collective Households |
0 |
1 |
3 |
3 |
0 |
5 |
14 |
14 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
1 |
2 |
2 |
631 |
1 |
3 |
8 |
2,097 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
0 |
1 |
320 |
1 |
3 |
13 |
908 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
0 |
0 |
201 |
0 |
1 |
3 |
608 |

Estimating Features of a Distribution from Binomial Data |
0 |
0 |
0 |
210 |
0 |
0 |
0 |
1,290 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
43 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
105 |
0 |
1 |
3 |
712 |

Estimation of Average Treatment Effects With Misclassification |
0 |
0 |
0 |
205 |
0 |
0 |
3 |
686 |

Estimation of Average Treatment Effects With Misclassification |
1 |
1 |
1 |
69 |
1 |
1 |
3 |
391 |

Estimation of Collective Household Models With Engel Curves |
0 |
0 |
2 |
197 |
0 |
1 |
4 |
513 |

Generalized Random Coefficients With Equivalence Scale Applications |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
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 |
1 |
69 |
0 |
0 |
2 |
164 |

Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case |
0 |
1 |
3 |
74 |
1 |
3 |
9 |
118 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors |
0 |
0 |
0 |
30 |
0 |
0 |
2 |
85 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors, Second Version |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
58 |

Identification and Nonparametric Estimation of a Transformed Additively Separable Model |
0 |
0 |
0 |
58 |
0 |
1 |
5 |
268 |

Identification and nonparametric estimation of a transformed additively separable model |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
52 |

Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions |
0 |
0 |
1 |
43 |
0 |
0 |
4 |
91 |

Identification of Semiparametric Model Coefficients, With an Application to Collective Households |
1 |
1 |
4 |
13 |
1 |
1 |
10 |
40 |

Identification of a Triangular Two Equation System Without Instruments |
0 |
0 |
4 |
53 |
0 |
2 |
9 |
59 |

Identification of the Binary Choice Model with Misclassification |
0 |
0 |
0 |
291 |
1 |
1 |
2 |
1,307 |

Identifying the Average Treatment Effect in a Two Threshold Model |
0 |
0 |
0 |
53 |
0 |
0 |
2 |
113 |

Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models |
0 |
0 |
2 |
84 |
0 |
0 |
6 |
239 |

Identifying the Returns to Lying When the Truth is Unobserved |
0 |
0 |
1 |
39 |
0 |
0 |
4 |
125 |

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 |
0 |
9 |
34 |
0 |
1 |
34 |
93 |

Instrumental variables estimation using heteroskedasticity-based instruments |
1 |
4 |
7 |
281 |
1 |
5 |
28 |
573 |

Instrumental variables estimation using heteroskedasticity-based instruments |
2 |
2 |
4 |
170 |
3 |
4 |
22 |
463 |

Kotlarski with a Factor Loading |
0 |
0 |
1 |
41 |
0 |
0 |
4 |
31 |

LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India |
0 |
0 |
2 |
74 |
2 |
5 |
13 |
138 |

LATE with Missing or Mismeasured Treatment |
0 |
2 |
12 |
78 |
0 |
7 |
30 |
134 |

Modeling Heterogeneity |
0 |
0 |
0 |
149 |
0 |
0 |
7 |
432 |

Mutual Fund Separation with General Preferences |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
360 |

Nonparametric Censored Regression |
0 |
0 |
1 |
410 |
1 |
1 |
3 |
1,372 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
1 |
478 |
0 |
0 |
3 |
1,881 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
0 |
197 |
0 |
0 |
0 |
527 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
1 |
4 |
0 |
0 |
6 |
67 |

Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation |
0 |
0 |
0 |
46 |
0 |
0 |
2 |
173 |

Nonparametric Estimation of Homothetic and Homothetically Separable Functions |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
21 |

Nonparametric Euler Equation Identi?cation and Estimation |
0 |
0 |
1 |
26 |
0 |
1 |
6 |
27 |

Nonparametric Euler Equation Identification and Estimation |
0 |
0 |
1 |
51 |
1 |
1 |
16 |
173 |

Nonparametric Euler Equation Identification andEstimation |
1 |
1 |
1 |
46 |
1 |
3 |
8 |
93 |

Nonparametric Euler equation identification and estimation |
0 |
0 |
0 |
41 |
1 |
2 |
5 |
109 |

Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information |
0 |
0 |
0 |
87 |
0 |
0 |
0 |
256 |

Nonparametric Identification of Accelerated Failure Time Competing Risks Models |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
143 |

Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments |
0 |
0 |
0 |
63 |
1 |
1 |
8 |
233 |

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 |
0 |
0 |
4 |
725 |

Nonparametric censored and truncated regression |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
74 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
30 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
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 |
3 |
127 |

Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments |
0 |
0 |
0 |
41 |
0 |
0 |
7 |
161 |

Nonparametric identification of the classical errors-in-variables model without side information |
0 |
0 |
0 |
84 |
0 |
0 |
0 |
270 |

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 |
7 |
41 |
0 |
0 |
22 |
70 |

Regression Discontinuity Marginal Threshold Treatment Effects |
0 |
0 |
0 |
43 |
0 |
1 |
4 |
235 |

Regressor Dimension Reduction with Economic Constraints: The Example of Demand Systems with Many Goods |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
335 |

Relaxing Hicks-Leontief price aggregation by allowing overlapping groups of goods |
0 |
0 |
3 |
9 |
1 |
1 |
5 |
604 |

Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved |
0 |
0 |
0 |
48 |
1 |
1 |
2 |
212 |

Semiparametric Binary Choice Panel Data Models without Strictly Exogeneous Regressors |
0 |
0 |
0 |
234 |
1 |
6 |
16 |
926 |

Semiparametric Identification and Estimation of Multinomial Discrete Choice Models using Error Symmetry |
1 |
1 |
3 |
31 |
2 |
4 |
11 |
51 |

Semiparametric Qualitative Response Model Estimation with Unknown Heteroskedasticity or Instrumental Variables |
1 |
1 |
5 |
524 |
1 |
3 |
12 |
1,945 |

Shape Invariant Demand Functions |
0 |
0 |
0 |
74 |
0 |
1 |
1 |
342 |

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 |
0 |
0 |
3 |
138 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
35 |
1 |
1 |
2 |
138 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
44 |

Sharing rule identification for general collective consumption models |
0 |
0 |
0 |
62 |
0 |
0 |
1 |
211 |

Simple Endogenous Binary Choice and Selection Panel Model Estimators |
0 |
1 |
2 |
334 |
0 |
1 |
5 |
859 |

Simple Estimators for Binary Choice Models with Endogenous Regressors |
0 |
0 |
0 |
192 |
1 |
1 |
6 |
518 |

Social Networks with Mismeasured Links |
0 |
1 |
3 |
33 |
1 |
5 |
18 |
39 |

Social Networks with Unobserved Links |
1 |
8 |
27 |
69 |
6 |
25 |
90 |
157 |

Sparse demand systems: corners and complements |
0 |
0 |
1 |
17 |
2 |
2 |
7 |
32 |

Sparse demand systems: corners and complements |
1 |
2 |
4 |
28 |
1 |
2 |
10 |
63 |

Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models |
0 |
0 |
0 |
28 |
1 |
2 |
6 |
132 |

Statistical analysis of choice experiments and surveys |
0 |
0 |
0 |
0 |
0 |
10 |
47 |
154 |

Tax reform and welfare measurement: do we need demand system estimation? |
0 |
0 |
0 |
14 |
0 |
0 |
2 |
628 |

The Identification Zoo - Meanings of Identification in Econometrics |
1 |
3 |
16 |
290 |
2 |
8 |
40 |
616 |

Tricks With Hicks: The EASI Demand System |
2 |
4 |
7 |
302 |
3 |
9 |
12 |
1,259 |

Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing |
0 |
0 |
0 |
54 |
0 |
1 |
10 |
208 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
54 |
0 |
0 |
2 |
210 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
41 |
1 |
4 |
6 |
82 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
65 |

Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models |
2 |
5 |
6 |
477 |
2 |
6 |
19 |
1,425 |

Weighted and Two Stage Least Squares Estimation of Semiparametric Truncated Regression Models |
0 |
1 |
3 |
490 |
0 |
1 |
5 |
2,479 |

Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited |
0 |
0 |
1 |
174 |
0 |
0 |
11 |
578 |

Why is consumption more log normal than income? Gibrat's law revisited |
0 |
0 |
0 |
117 |
0 |
0 |
10 |
521 |

Total Working Papers |
20 |
52 |
199 |
13,412 |
61 |
205 |
934 |
49,052 |