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12 months |
Total |
Last month |
3 months |
12 months |
Total |
Average and Quantile Effects in Nonseparable Panel Models |
0 |
0 |
1 |
2 |
1 |
1 |
11 |
17 |
Bias Correction in Panel Data Models with Individual Specific Parameters |
0 |
0 |
0 |
41 |
0 |
1 |
8 |
180 |
Bias Corrections for Two-Step Fixed Effects Panel Data Estimators |
0 |
0 |
0 |
190 |
0 |
1 |
7 |
637 |
Bias Corrections for Two-Step Fixed Effects Panel Data Estimators |
0 |
0 |
0 |
405 |
0 |
2 |
12 |
1,515 |
Bias corrections for two-step fixed effects panel data estimators |
0 |
0 |
1 |
253 |
1 |
2 |
9 |
710 |
Censored Quantile Instrumental Variable Estimation via Control Functions |
0 |
0 |
0 |
40 |
0 |
0 |
4 |
172 |
Censored Quantile Instrumental Variable Estimation with Stata |
0 |
0 |
5 |
7 |
1 |
5 |
24 |
54 |
Censored Quantile Instrumental Variable Estimation with Stata |
0 |
0 |
0 |
12 |
2 |
4 |
18 |
78 |
Conditional quantile processes based on series or many regressors |
0 |
0 |
0 |
47 |
0 |
0 |
12 |
106 |
Conditional quantile processes based on series or many regressors |
0 |
0 |
0 |
14 |
1 |
1 |
9 |
43 |
Counterfactual analysis in R: a vignette |
1 |
4 |
13 |
37 |
4 |
15 |
80 |
152 |
Decomposing Changes in the Distribution of Real Hourly Wages in the U.S |
0 |
0 |
2 |
4 |
0 |
2 |
15 |
18 |
Decomposing Real Wage Changes in the United States |
0 |
0 |
3 |
14 |
0 |
2 |
16 |
40 |
Distribution regression with sample selection, with an application to wage decompositions in the UK |
0 |
0 |
1 |
2 |
0 |
1 |
9 |
18 |
Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects |
0 |
0 |
0 |
141 |
0 |
0 |
5 |
580 |
Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income |
0 |
0 |
1 |
46 |
0 |
0 |
8 |
116 |
ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework |
0 |
1 |
5 |
146 |
0 |
9 |
36 |
465 |
Extremal quantile regression: an overview |
0 |
0 |
0 |
2 |
1 |
1 |
4 |
20 |
Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models |
0 |
0 |
0 |
179 |
1 |
3 |
10 |
621 |
Fixed effect estimation of large T panel data models |
0 |
4 |
9 |
14 |
4 |
12 |
41 |
65 |
Fixed effect estimation of large T panel data models |
0 |
0 |
0 |
7 |
0 |
0 |
7 |
28 |
Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes |
0 |
0 |
1 |
53 |
1 |
2 |
14 |
87 |
Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India |
0 |
2 |
14 |
75 |
5 |
10 |
75 |
211 |
Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments |
0 |
1 |
9 |
138 |
7 |
27 |
77 |
175 |
Generic inference on quantile and quantile effect functions for discrete outcomes |
0 |
0 |
0 |
3 |
0 |
1 |
15 |
41 |
Generic inference on quantile and quantile effect functions for discrete outcomes |
0 |
0 |
0 |
2 |
0 |
0 |
11 |
32 |
Generic machine learning inference on heterogenous treatment effects in randomized experiments |
0 |
0 |
0 |
44 |
2 |
4 |
20 |
54 |
Hours Worked and the U.S. Distribution of Real Annual Earnings 1976–2016 |
2 |
4 |
14 |
14 |
6 |
11 |
30 |
30 |
IMPROVING ESTIMATES OF MONOTONE FUNCTIONS BY REARRANGEMENT |
0 |
0 |
0 |
39 |
1 |
2 |
5 |
141 |
INFERENCE ON COUNTERFACTUAL DISTRIBUTIONS |
0 |
0 |
0 |
108 |
2 |
5 |
27 |
292 |
Identification and Estimation of Marginal Effects in Nonlinear Panel Models |
0 |
0 |
0 |
47 |
0 |
2 |
11 |
150 |
Identification and estimation of marginal effects in nonlinear panel models |
0 |
0 |
0 |
105 |
0 |
0 |
6 |
313 |
Identification and estimation of marginal effects in nonlinear panel models |
0 |
0 |
1 |
30 |
0 |
3 |
11 |
107 |
Improving Estimates of Monotone Functions by Rearrangement |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
10 |
Improving Point and Interval Estimates of Monotone Functions by Rearrangement |
0 |
0 |
0 |
2 |
1 |
1 |
7 |
13 |
Improving estimates of monotone functions by rearrangement |
0 |
0 |
0 |
56 |
1 |
2 |
7 |
220 |
Improving point and interval estimates of monotone functions by rearrangement |
0 |
0 |
0 |
65 |
1 |
2 |
8 |
310 |
Individual and Time Effects in Nonlinear Panel Models with Large N, T |
1 |
1 |
8 |
14 |
4 |
4 |
32 |
65 |
Individual and time effects in nonlinear panel models with large N, T |
0 |
0 |
1 |
19 |
1 |
1 |
12 |
46 |
Individual and time effects in nonlinear panel models with large N, T |
0 |
0 |
2 |
42 |
1 |
2 |
12 |
90 |
Individual and time effects in nonlinear panel models with large N, T |
0 |
0 |
0 |
4 |
2 |
2 |
12 |
41 |
Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks |
0 |
0 |
0 |
4 |
0 |
1 |
8 |
39 |
Inference for extremal conditional quantile models, with an application to market and birthweight risks |
0 |
0 |
1 |
20 |
1 |
2 |
11 |
72 |
Inference on Counterfactual Distributions |
0 |
1 |
4 |
6 |
2 |
6 |
37 |
64 |
Inference on counterfactual distributions |
0 |
0 |
1 |
431 |
2 |
3 |
19 |
896 |
Inference on counterfactual distributions |
0 |
1 |
3 |
107 |
2 |
6 |
26 |
248 |
Inference on counterfactual distributions |
0 |
1 |
6 |
888 |
2 |
6 |
26 |
1,808 |
Mastering Panel Metrics: Causal Impact of Democracy on Growth |
0 |
1 |
39 |
39 |
1 |
5 |
25 |
26 |
Network and panel quantile effects via distribution regression |
0 |
0 |
1 |
11 |
0 |
2 |
11 |
23 |
Network and panel quantile effects via distribution regression |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
13 |
Nonlinear Factor Models for Network and Panel Data |
0 |
0 |
1 |
8 |
1 |
2 |
8 |
40 |
Nonlinear factor models for network and panel data |
0 |
0 |
3 |
27 |
2 |
3 |
23 |
43 |
Nonlinear factor models for network and panel data |
0 |
0 |
4 |
4 |
0 |
3 |
16 |
16 |
Nonparametric Identification in Panels using Quantiles |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
9 |
Nonparametric identification in panels using quantiles |
0 |
0 |
0 |
23 |
0 |
1 |
6 |
36 |
Nonparametric identification in panels using quantiles |
0 |
0 |
0 |
12 |
0 |
0 |
6 |
56 |
Nonseparable Sample Selection Models with Censored Selection Rules |
0 |
0 |
0 |
3 |
3 |
5 |
10 |
31 |
Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions |
0 |
0 |
2 |
22 |
0 |
0 |
9 |
56 |
Nonseparable multinomial choice models in cross-section and panel data |
0 |
0 |
0 |
15 |
0 |
0 |
5 |
18 |
Nonseparable sample selection models with censored selection rules |
0 |
0 |
0 |
4 |
1 |
1 |
9 |
25 |
Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference |
0 |
0 |
0 |
1 |
0 |
0 |
8 |
19 |
Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference |
0 |
0 |
1 |
108 |
2 |
2 |
11 |
322 |
Program evaluation and causal inference with high-dimensional data |
0 |
0 |
5 |
21 |
0 |
4 |
17 |
96 |
Program evaluation with high-dimensional data |
0 |
0 |
1 |
13 |
2 |
2 |
16 |
78 |
Program evaluation with high-dimensional data |
0 |
0 |
1 |
8 |
0 |
0 |
10 |
53 |
Program evaluation with high-dimensional data |
0 |
0 |
0 |
4 |
0 |
0 |
9 |
38 |
Program evaluation with high-dimensional data |
0 |
0 |
4 |
69 |
4 |
6 |
19 |
152 |
QUANTILE AND PROBABILITY CURVES WITHOUT CROSSING |
0 |
0 |
0 |
71 |
1 |
1 |
12 |
318 |
Quantile Regression under Misspecification |
0 |
0 |
0 |
2 |
0 |
0 |
13 |
411 |
Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure |
0 |
0 |
1 |
280 |
3 |
5 |
22 |
861 |
Quantile Regression with Censoring and Endogeneity |
0 |
1 |
1 |
110 |
5 |
11 |
33 |
319 |
Quantile Regression with Censoring and Endogeneity |
0 |
0 |
0 |
49 |
0 |
3 |
19 |
136 |
Quantile Regression with Censoring and Endogeneity |
1 |
1 |
2 |
2 |
3 |
7 |
30 |
46 |
Quantile and Average Effects in Nonseparable Panel Models |
0 |
0 |
0 |
25 |
0 |
0 |
3 |
95 |
Quantile and Probability Curves Without Crossing |
0 |
0 |
1 |
2 |
1 |
3 |
13 |
23 |
Quantile and Probability Curves without Crossing |
0 |
0 |
1 |
17 |
1 |
2 |
14 |
103 |
Quantile and Probability Curves without Crossing |
0 |
0 |
0 |
1 |
1 |
1 |
15 |
39 |
Quantile and average effects in nonseparable panel models |
0 |
0 |
0 |
43 |
0 |
0 |
2 |
110 |
Quantile and probability curves without crossing |
0 |
0 |
1 |
66 |
0 |
0 |
12 |
259 |
Quantile regression with censoring and endogeneity |
0 |
0 |
0 |
40 |
0 |
1 |
18 |
131 |
Quantreg.nonpar: an R package for performing nonparametric series quantile regression |
1 |
2 |
6 |
15 |
4 |
10 |
40 |
95 |
Rearranging Edgeworth-Cornish-Fisher Expansions |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
7 |
Rearranging Edgeworth-Cornish-Fisher expansions |
0 |
0 |
0 |
89 |
0 |
0 |
7 |
326 |
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models |
0 |
0 |
1 |
20 |
0 |
1 |
20 |
84 |
Semiparametric estimation of structural functions in nonseparable triangular models |
0 |
0 |
0 |
2 |
0 |
1 |
12 |
30 |
The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages |
0 |
1 |
1 |
8 |
2 |
5 |
19 |
36 |
The sorted effects method: discovering heterogeneous effects beyond their averages |
0 |
0 |
0 |
13 |
1 |
2 |
14 |
67 |
probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects |
0 |
0 |
1 |
35 |
2 |
3 |
10 |
45 |
Total Working Papers |
6 |
26 |
184 |
5,201 |
101 |
261 |
1,428 |
15,881 |