Working Paper |
File Downloads |
Abstract Views |

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

A contribution to the Reinhart and Rogoff debate: not 90 percent but maybe 30 percent |
0 |
0 |
1 |
27 |
1 |
1 |
3 |
48 |

Ability, sorting and wage inequality |
0 |
0 |
0 |
171 |
0 |
1 |
4 |
527 |

Best Subset Binary Prediction |
0 |
0 |
0 |
1 |
2 |
2 |
5 |
13 |

Best subset binary prediction |
0 |
0 |
0 |
24 |
5 |
7 |
11 |
31 |

Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models |
0 |
0 |
1 |
7 |
1 |
1 |
12 |
14 |

Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models |
0 |
0 |
0 |
31 |
0 |
2 |
6 |
71 |

Characterization of the Asymptotic Distribution of Semiparametric M-Estimators |
0 |
0 |
0 |
174 |
1 |
2 |
5 |
365 |

Characterization of the asymptotic distribution of semiparametric M-estimators |
0 |
0 |
0 |
141 |
0 |
1 |
2 |
336 |

Characterization of the asymptotic distribution of semiparametric M-estimators |
0 |
0 |
0 |
5 |
1 |
2 |
4 |
26 |

DOUBLY ROBUST UNIFORM CONFIDENCE BAND FOR THE CONDITIONAL AVERAGE TREATMENT EFFECT FUNCTION |
0 |
0 |
0 |
20 |
2 |
2 |
7 |
61 |

Do Institutions Affect Social Preferences? Evidence from Divided Korea |
0 |
1 |
1 |
82 |
1 |
4 |
9 |
110 |

Do institutions affect social preferences? Evidence from divided Korea |
0 |
1 |
1 |
114 |
0 |
3 |
19 |
127 |

Does It Matter Who Responded to the Survey? Trends in the U.S. Gender Earnings Gap Revisited |
0 |
1 |
1 |
31 |
2 |
3 |
7 |
114 |

Does it matter who responded to the survey? Trends in the U.S. gender earnings gap revisited |
0 |
0 |
0 |
8 |
0 |
0 |
7 |
50 |

Doubly Robust Uniform Confidence Band for the Conditional Average Treatment Effect Function |
0 |
1 |
1 |
2 |
0 |
2 |
4 |
7 |

Doubly robust uniform confidence band for the conditional average treatment effect function |
0 |
0 |
0 |
49 |
0 |
2 |
6 |
115 |

Doubly robust uniform confidence band for the conditional average treatment effect function |
0 |
0 |
0 |
7 |
0 |
0 |
9 |
19 |

Endogeneity in Quantile Regression Models: A Control Function Approach |
2 |
2 |
6 |
522 |
4 |
6 |
17 |
1,586 |

Endogeneity in quantile regression models: a control function approach |
0 |
0 |
2 |
257 |
2 |
3 |
8 |
872 |

Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality |
0 |
0 |
1 |
132 |
0 |
1 |
6 |
292 |

Estimating panel data duration models with censored data |
0 |
0 |
0 |
275 |
0 |
0 |
3 |
806 |

Exact computation of GMM estimators for instrumental variable quantile regression models |
0 |
0 |
0 |
23 |
0 |
2 |
8 |
18 |

Factor-Driven Two-Regime Regression |
0 |
1 |
3 |
3 |
3 |
4 |
12 |
12 |

Factor-Driven Two-Regime Regression |
0 |
2 |
44 |
44 |
2 |
4 |
32 |
32 |

High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization |
1 |
1 |
10 |
10 |
1 |
2 |
18 |
18 |

Identification of a competing risks model with unknown transformations of latent failure times |
0 |
0 |
0 |
97 |
0 |
1 |
2 |
387 |

Identifying Effects of Multivalued Treatments |
0 |
0 |
2 |
39 |
2 |
3 |
11 |
21 |

Identifying Effects of Multivalued Treatments |
0 |
0 |
1 |
45 |
2 |
2 |
8 |
45 |

Identifying effects of multivalued treatments |
1 |
1 |
4 |
5 |
2 |
2 |
11 |
11 |

Identifying effects of multivalued treatments |
0 |
0 |
0 |
10 |
0 |
1 |
5 |
15 |

Identifying the Effect of Persuasion |
0 |
1 |
10 |
10 |
0 |
1 |
6 |
6 |

Identifying the effect of persuasion |
0 |
0 |
1 |
1 |
2 |
3 |
14 |
14 |

Implementing intersection bounds in Stata |
0 |
0 |
0 |
24 |
1 |
1 |
1 |
90 |

Implementing intersection bounds in Stata |
0 |
0 |
0 |
7 |
1 |
1 |
2 |
43 |

International trends in technological progress: stylized facts from patent citations, 1980-2011 |
0 |
0 |
2 |
61 |
0 |
0 |
6 |
75 |

Intersection Bounds: estimation and inference |
0 |
0 |
1 |
84 |
0 |
0 |
2 |
304 |

Intersection bounds: estimation and inference |
0 |
0 |
0 |
33 |
4 |
4 |
9 |
104 |

Intersection bounds: estimation and inference |
0 |
0 |
1 |
14 |
0 |
0 |
3 |
78 |

Is Distance Dying at Last? |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
8 |

Is Distance Dying at Last? Falling Home Bias in Fixed Effects Models of Patent Citations |
0 |
0 |
0 |
34 |
0 |
0 |
8 |
138 |

Is Distance Dying at Last? Falling Home Bias in Fixed Effects Models of Patent Citations |
0 |
0 |
0 |
65 |
0 |
2 |
7 |
209 |

Is Distance Dying at Last? Falling Home Bias in Fixed Effects Models of Patent Citations |
0 |
0 |
0 |
57 |
0 |
1 |
8 |
204 |

Is distance dying at last? |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
52 |

Is distance dying at last? Falling home bias in fixed effects models of patent citations |
0 |
0 |
1 |
2 |
3 |
3 |
11 |
42 |

Is distance dying at last? Falling home bias in fixed effects models of patent citations |
0 |
0 |
2 |
49 |
1 |
3 |
13 |
158 |

Is distance dying at last? Falling home bias in fixed effects models of patent citations |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
51 |

Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015 |
0 |
1 |
11 |
89 |
0 |
2 |
31 |
75 |

Local Identification of Nonparametric and Semiparametric Models |
0 |
0 |
1 |
12 |
0 |
0 |
6 |
116 |

Local Identification of Nonparametric and Semiparametric Models |
0 |
0 |
0 |
48 |
0 |
0 |
3 |
162 |

Local identification of nonparametric and semiparametric models |
0 |
0 |
0 |
30 |
1 |
2 |
5 |
96 |

Local identification of nonparametric and semiparametric models |
0 |
0 |
1 |
16 |
0 |
0 |
5 |
65 |

Maximum score estimation of preference parameters for a binary choice model under uncertainty |
0 |
0 |
0 |
48 |
2 |
3 |
7 |
138 |

Maximum score estimation with nonparametrically generated regressors |
0 |
0 |
0 |
18 |
1 |
2 |
4 |
51 |

Non-Asymptotic Inference in a Class of Optimization Problems |
0 |
4 |
14 |
14 |
1 |
1 |
2 |
2 |

Nonparametric Estimation of an Additive Quantile Regression Model |
0 |
0 |
0 |
361 |
0 |
0 |
0 |
943 |

Nonparametric Identification of Accelerated Failure Time Competing Risks Models |
0 |
0 |
1 |
40 |
1 |
1 |
6 |
127 |

Nonparametric Tests of Conditional Treatment Effects |
0 |
0 |
5 |
133 |
4 |
7 |
27 |
423 |

Nonparametric estimation and inference under shape restrictions |
0 |
0 |
0 |
43 |
1 |
1 |
4 |
69 |

Nonparametric estimation and inference under shape restrictions |
0 |
0 |
0 |
1 |
0 |
0 |
6 |
17 |

Nonparametric estimation of an additive quantile regression model |
0 |
0 |
0 |
165 |
1 |
1 |
3 |
452 |

Nonparametric identification of accelerated failure time competing risks models |
0 |
0 |
0 |
41 |
0 |
2 |
6 |
114 |

Nonparametric instrumental variables estimation of a quantile regression model |
0 |
0 |
0 |
233 |
0 |
0 |
1 |
651 |

Nonparametric tests of conditional treatment effects |
0 |
0 |
0 |
29 |
1 |
1 |
4 |
120 |

Optimal Data Collection for Randomized Control Trials |
0 |
0 |
0 |
50 |
1 |
1 |
9 |
48 |

Optimal Data Collection for Randomized Control Trials |
0 |
0 |
0 |
39 |
3 |
3 |
5 |
13 |

Optimal data collection for randomized control trials |
0 |
0 |
1 |
91 |
1 |
1 |
5 |
22 |

Optimal data collection for randomized control trials |
0 |
0 |
1 |
76 |
1 |
1 |
8 |
17 |

Optimal data collection for randomized control trials |
0 |
1 |
2 |
39 |
0 |
2 |
8 |
16 |

Oracle Estimation of a Change Point in High Dimensional Quantile Regression |
0 |
1 |
2 |
25 |
1 |
1 |
7 |
11 |

Please Call Me John: Name Choice and the Assimilation of Immigrants in the United States, 1900-1930 |
0 |
0 |
4 |
56 |
4 |
5 |
17 |
68 |

Please Call Me John: Name Choice and the Assimilation of Immigrants in the United States, 1900-1930 |
0 |
0 |
7 |
65 |
1 |
1 |
12 |
50 |

Please call me John: name choice and the assimilation of immigrants in the United States, 1900-1930 |
0 |
0 |
5 |
54 |
0 |
1 |
14 |
97 |

Recombinant innovation and the boundaries of the firm |
0 |
0 |
0 |
16 |
1 |
1 |
2 |
51 |

Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data |
0 |
0 |
0 |
28 |
1 |
2 |
6 |
243 |

Reform of unemployment compensation in Germany: a nonparametric bounds analysis using register data |
0 |
0 |
0 |
82 |
0 |
1 |
2 |
579 |

SEMIPARAMETRIC ESTIMATION OF A BINARYRESPONSE MODEL WITH A CHANGE-POINTDUE TO A COVARIATE THRESHOLD |
0 |
0 |
0 |
4 |
1 |
1 |
1 |
18 |

Semiparametric Estimation of a Panel Data Proportional Hazards Model with Fixed Effects |
0 |
0 |
1 |
506 |
0 |
2 |
7 |
1,310 |

Semiparametric estimation of a binary response model with a change-point due to a covariate threshold |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
33 |

Semiparametric estimation of a panel data proportional hazards model with fixed effects |
0 |
0 |
0 |
278 |
0 |
0 |
2 |
787 |

TESTING FOR A GENERAL CLASS OF FUNCTIONAL INEQUALITIES |
0 |
0 |
0 |
54 |
0 |
0 |
5 |
69 |

TESTING FOR STOCHASTICMONOTONICITY |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
28 |

Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative |
0 |
0 |
1 |
162 |
0 |
0 |
6 |
555 |

Testing for a general class of functional inequalities |
0 |
0 |
0 |
20 |
1 |
2 |
4 |
70 |

Testing for stochastic monotonicity |
0 |
0 |
0 |
52 |
0 |
1 |
2 |
135 |

Testing for stochastic monotonicity |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
31 |

Testing for threshold effects in regression models |
1 |
2 |
4 |
198 |
1 |
3 |
19 |
525 |

Testing functional inequalities |
0 |
0 |
0 |
66 |
1 |
1 |
2 |
122 |

The identification power of smoothness assumptions in models with counterfactual outcomes |
0 |
0 |
0 |
27 |
0 |
0 |
2 |
75 |

The lasso for high-dimensional regression with a possible change-point |
0 |
0 |
3 |
31 |
2 |
2 |
11 |
110 |

Trends in Quality Adjusted Skill Premia in the US, 1960-2000 |
0 |
0 |
0 |
30 |
0 |
0 |
2 |
84 |

Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000 |
0 |
0 |
1 |
84 |
1 |
1 |
7 |
173 |

Trends in quality-adjusted skill premia in the United States, 1960-2000 |
0 |
0 |
0 |
323 |
0 |
2 |
7 |
569 |

Uniform confidence bands for functions estimated nonparametrically with instrumental variables |
0 |
0 |
0 |
71 |
0 |
1 |
3 |
204 |

Uniform confidence bands for functions estimated nonparametrically with instrumental variables |
0 |
0 |
0 |
27 |
0 |
0 |
2 |
61 |

Total Working Papers |
5 |
21 |
162 |
6,683 |
81 |
145 |
666 |
17,520 |