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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 |
1 |
3 |
10 |
754 |

A Simple Estimator for Binary Choice Models With Endogenous Regressors |
0 |
0 |
0 |
47 |
1 |
2 |
22 |
184 |

A Simple Estimator for Binary Choice Models with Endogenous Regressors |
1 |
3 |
13 |
290 |
6 |
11 |
39 |
624 |

A Simple Ordered Data Estimator For Inverse Density Weighted Functions |
0 |
0 |
3 |
126 |
2 |
6 |
13 |
977 |

A simple alternative to the linear probability model for binary choice models with endogenous regressors |
0 |
1 |
7 |
213 |
1 |
7 |
23 |
478 |

Advice on using heteroscedasticity based identification |
3 |
5 |
41 |
127 |
4 |
13 |
116 |
259 |

An Overview of the Special Regressor Method |
1 |
2 |
4 |
138 |
3 |
7 |
26 |
299 |

Asymptotic Trimming for Bounded Density Plug-in Estimators |
0 |
0 |
0 |
51 |
0 |
2 |
4 |
364 |

Binary choice models with endogenous regressors |
0 |
1 |
11 |
327 |
1 |
5 |
31 |
593 |

Calculating Compensation in Cases of Wrongful Death |
0 |
0 |
3 |
344 |
5 |
10 |
32 |
2,025 |

Children's Resources in Collective Households: Identification, Estimation and an Application to Child Poverty in Malawi |
0 |
1 |
3 |
133 |
1 |
5 |
16 |
349 |

Coherence and Completeness of Structural Models Containing a Dummy Endogenous Variable |
1 |
1 |
5 |
228 |
1 |
1 |
14 |
1,010 |

Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors |
0 |
4 |
8 |
155 |
2 |
6 |
26 |
364 |

Consumption Peer Effects and Utility Needs in India |
0 |
2 |
11 |
26 |
0 |
2 |
25 |
65 |

Demand Systems With Nonstationary Prices |
0 |
0 |
0 |
335 |
0 |
3 |
6 |
1,143 |

Demand system rank: direct utility, Garp tests and portfolio separation |
0 |
0 |
1 |
3 |
0 |
1 |
2 |
347 |

Endogenous Selection Or Treatment Model Estimation |
0 |
0 |
6 |
953 |
2 |
4 |
21 |
3,091 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
1 |
3 |
6 |
629 |
2 |
6 |
25 |
2,076 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
0 |
0 |
0 |
201 |
1 |
1 |
12 |
601 |

Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power |
1 |
1 |
3 |
319 |
3 |
5 |
22 |
872 |

Estimating Features of a Distribution from Binomial Data |
0 |
0 |
0 |
210 |
1 |
1 |
8 |
1,282 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
42 |

Estimating features of a distribution from binomial data |
0 |
0 |
0 |
104 |
0 |
1 |
5 |
707 |

Estimation of Average Treatment Effects With Misclassification |
0 |
0 |
3 |
202 |
0 |
1 |
14 |
671 |

Estimation of Average Treatment Effects With Misclassification |
0 |
0 |
0 |
68 |
0 |
0 |
3 |
386 |

Estimation of Collective Household Models With Engel Curves |
1 |
2 |
2 |
192 |
2 |
7 |
16 |
500 |

General Doubly Robust Identification and Estimation |
0 |
0 |
30 |
30 |
4 |
7 |
22 |
22 |

Generalized Random Coefficients With Equivalence Scale Applications |
0 |
0 |
0 |
30 |
0 |
1 |
6 |
117 |

Health and Retirement Effects in a Collective Consumption Model of Elderly Households |
0 |
0 |
1 |
9 |
1 |
1 |
4 |
52 |

Health and Retirement Effects in a Collective Consumption Model of Older Households |
0 |
0 |
1 |
65 |
0 |
0 |
3 |
157 |

Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case |
0 |
1 |
8 |
70 |
3 |
5 |
22 |
97 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors |
0 |
0 |
1 |
30 |
1 |
1 |
5 |
81 |

Identification and Estimation of Games with Incomplete Information Using Excluded Regressors, Second Version |
0 |
0 |
0 |
6 |
1 |
1 |
5 |
58 |

Identification and Nonparametric Estimation of a Transformed Additively Separable Model |
0 |
0 |
0 |
58 |
0 |
1 |
6 |
257 |

Identification and nonparametric estimation of a transformed additively separable model |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
44 |

Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions |
0 |
1 |
8 |
41 |
0 |
3 |
21 |
77 |

Identification of Semiparametric Model Coefficients, With an Application to Collective Households |
1 |
2 |
4 |
4 |
1 |
4 |
13 |
13 |

Identification of the Binary Choice Model with Misclassification |
0 |
0 |
1 |
289 |
2 |
3 |
19 |
1,299 |

Identifying the Average Treatment Effect in a Two Threshold Model |
0 |
0 |
1 |
53 |
0 |
0 |
13 |
108 |

Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models |
0 |
0 |
2 |
82 |
0 |
3 |
8 |
232 |

Identifying the Returns to Lying When the Truth is Unobserved |
0 |
0 |
0 |
38 |
0 |
0 |
2 |
118 |

Identifying the returns to lying when the truth is unobserved |
0 |
0 |
0 |
20 |
0 |
0 |
2 |
134 |

Inefficient Collective Households: Cooperation and Consumption |
0 |
2 |
17 |
17 |
0 |
8 |
30 |
30 |

Instrumental variables estimation using heteroskedasticity-based instruments |
0 |
2 |
13 |
155 |
4 |
19 |
63 |
406 |

Instrumental variables estimation using heteroskedasticity-based instruments |
1 |
3 |
12 |
262 |
2 |
9 |
32 |
509 |

Kotlarski with a Factor Loading |
0 |
0 |
35 |
35 |
1 |
3 |
16 |
16 |

LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India |
1 |
1 |
6 |
64 |
2 |
3 |
26 |
112 |

Modeling Heterogeneity |
1 |
1 |
4 |
145 |
5 |
12 |
41 |
406 |

Mutual Fund Separation with General Preferences |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
355 |

Nonparametric Censored Regression |
0 |
0 |
0 |
408 |
0 |
1 |
5 |
1,363 |

Nonparametric Censored and Truncated Regression |
0 |
1 |
1 |
197 |
1 |
2 |
9 |
525 |

Nonparametric Censored and Truncated Regression |
0 |
1 |
1 |
3 |
0 |
2 |
14 |
55 |

Nonparametric Censored and Truncated Regression |
0 |
0 |
0 |
477 |
0 |
1 |
11 |
1,874 |

Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation |
0 |
0 |
2 |
45 |
1 |
1 |
13 |
164 |

Nonparametric Estimation of Homothetic and Homothetically Separable Functions |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
20 |

Nonparametric Euler Equation Identi?cation and Estimation |
0 |
0 |
25 |
25 |
0 |
1 |
13 |
13 |

Nonparametric Euler Equation Identification and Estimation |
0 |
0 |
1 |
49 |
1 |
4 |
11 |
138 |

Nonparametric Euler Equation Identification andEstimation |
0 |
0 |
0 |
43 |
1 |
3 |
20 |
70 |

Nonparametric Euler equation identification and estimation |
0 |
0 |
0 |
41 |
0 |
1 |
10 |
91 |

Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information |
0 |
0 |
1 |
86 |
0 |
0 |
4 |
251 |

Nonparametric Identification of Accelerated Failure Time Competing Risks Models |
0 |
0 |
0 |
40 |
3 |
3 |
10 |
139 |

Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments |
0 |
0 |
0 |
61 |
0 |
0 |
0 |
221 |

Nonparametric Identification of a Binary Random Factor in Cross Section Data |
0 |
0 |
0 |
19 |
0 |
0 |
6 |
146 |

Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions |
0 |
0 |
1 |
135 |
0 |
0 |
2 |
720 |

Nonparametric censored and truncated regression |
0 |
0 |
0 |
4 |
1 |
1 |
12 |
71 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
26 |

Nonparametric estimation of homothetic and homothetically separable functions |
0 |
0 |
1 |
40 |
1 |
1 |
4 |
305 |

Nonparametric identification and estimation of nonclassical errors-in-variables models without additional information |
0 |
0 |
0 |
41 |
0 |
0 |
4 |
113 |

Nonparametric identification of a binary random factor in cross section data |
0 |
0 |
0 |
9 |
0 |
1 |
2 |
77 |

Nonparametric identification of accelerated failure time competing risks models |
0 |
0 |
0 |
41 |
1 |
1 |
6 |
122 |

Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
152 |

Nonparametric identification of the classical errors-in-variables model without side information |
0 |
0 |
0 |
84 |
3 |
5 |
10 |
268 |

Nonparametric identification of the classical errors-in-variables model without side information |
0 |
0 |
0 |
37 |
2 |
8 |
8 |
133 |

Ordered Response Threshold Estimation |
0 |
0 |
0 |
154 |
0 |
0 |
3 |
595 |

Regression Discontinuity Marginal Threshold Treatment Effects |
0 |
0 |
1 |
43 |
0 |
2 |
11 |
224 |

Regressor Dimension Reduction with Economic Constraints: The Example of Demand Systems with Many Goods |
0 |
0 |
0 |
64 |
0 |
0 |
3 |
332 |

Relaxing Hicks-Leontief price aggregation by allowing overlapping groups of goods |
0 |
0 |
0 |
5 |
1 |
1 |
4 |
595 |

Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved |
0 |
0 |
0 |
48 |
0 |
0 |
4 |
207 |

Semiparametric Binary Choice Panel Data Models without Strictly Exogeneous Regressors |
0 |
0 |
0 |
234 |
0 |
1 |
10 |
898 |

Semiparametric Qualitative Response Model Estimation with Unknown Heteroskedasticity or Instrumental Variables |
0 |
0 |
2 |
515 |
1 |
4 |
13 |
1,919 |

Shape Invariant Demand Functions |
0 |
0 |
0 |
73 |
0 |
0 |
6 |
335 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
34 |
0 |
1 |
11 |
132 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
3 |
0 |
0 |
6 |
42 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
0 |
0 |
0 |
0 |
3 |
4 |
4 |

Sharing Rule Identification for General Collective Consumption Models |
0 |
1 |
3 |
14 |
0 |
2 |
11 |
131 |

Sharing rule identification for general collective consumption models |
0 |
0 |
0 |
62 |
1 |
2 |
11 |
210 |

Simple Endogenous Binary Choice and Selection Panel Model Estimators |
0 |
1 |
1 |
330 |
0 |
1 |
3 |
844 |

Simple Estimators for Binary Choice Models with Endogenous Regressors |
1 |
1 |
2 |
190 |
3 |
6 |
18 |
497 |

Social Networks with Misclassified or Unobserved Links |
1 |
2 |
29 |
29 |
3 |
9 |
31 |
31 |

Sparse demand systems: corners and complements |
0 |
0 |
17 |
17 |
1 |
6 |
31 |
32 |

Sparse demand systems: corners and complements |
0 |
0 |
10 |
10 |
1 |
2 |
13 |
13 |

Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models |
0 |
0 |
1 |
28 |
0 |
2 |
7 |
120 |

Statistical analysis of choice experiments and surveys |
0 |
0 |
0 |
0 |
2 |
3 |
13 |
84 |

Tax reform and welfare measurement: do we need demand system estimation? |
0 |
2 |
6 |
11 |
0 |
3 |
16 |
619 |

The Identification Zoo - Meanings of Identification in Econometrics |
4 |
13 |
73 |
248 |
9 |
38 |
198 |
503 |

Tricks With Hicks: The EASI Demand System |
1 |
1 |
6 |
295 |
3 |
10 |
46 |
1,225 |

Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing |
0 |
0 |
1 |
54 |
0 |
2 |
23 |
192 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
10 |
0 |
1 |
11 |
58 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
3 |
41 |
3 |
4 |
13 |
71 |

Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients |
0 |
0 |
0 |
53 |
0 |
1 |
16 |
200 |

Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models |
0 |
1 |
9 |
462 |
3 |
6 |
44 |
1,374 |

Weighted and Two Stage Least Squares Estimation of Semiparametric Truncated Regression Models |
0 |
0 |
0 |
487 |
2 |
3 |
6 |
2,464 |

Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited |
0 |
0 |
0 |
172 |
0 |
3 |
19 |
550 |

Why is consumption more log normal than income? Gibrat's law revisited |
0 |
0 |
1 |
116 |
2 |
4 |
17 |
500 |

Women’s Empowerment and Family Health: Estimating LATE with Mismeasured Treatment |
1 |
1 |
11 |
61 |
4 |
11 |
48 |
82 |

Total Working Papers |
21 |
64 |
483 |
12,896 |
121 |
363 |
1,752 |
46,903 |