Access Statistics for Yulong Wang

Author contact details at EconPapers.

Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Capital and Labor Income Pareto Exponents in the United States, 1916-2019 0 1 1 11 2 4 18 33
Efficient Minimum Distance Estimation of Pareto Exponent from Top Income Shares 0 0 0 19 0 3 4 56
Estimation and Inference about Tail Features with Tail Censored Data 0 0 0 12 0 2 13 35
Estimation and Inference about Tail Features with Tail Censored Data 0 0 0 8 0 2 16 56
Extreme Changes in Changes 0 0 0 14 0 5 11 28
Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400 0 0 2 19 0 5 15 52
Genuinely Robust Inference for Clustered Data 0 0 0 14 3 8 24 39
Getting the Right Tail Right: Modeling Tails of Health Expenditure Distributions 0 0 0 32 1 6 33 94
Getting the Right Tail Right: Modeling tails of health expenditure distributions 0 0 0 12 0 11 21 31
High-Dimensional Tail Index Regression 0 0 0 9 2 6 15 23
Inference in Auctions with Many Bidders Using Transaction Prices 0 1 2 12 2 11 19 35
Inference in Threshold Models 0 0 0 48 1 4 17 56
Non-Existent Moments of Earnings Growth 0 0 1 10 1 4 10 32
Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method 0 0 0 28 1 3 19 47
Nonparametric Sample Splitting 0 0 0 2 1 2 6 23
Nonparametric Tests of Tail Behavior in Stochastic Frontier Models 0 0 0 6 0 2 10 25
Nonparametric Tests of Tail Behavior in Stochastic Frontier Models 0 0 0 7 0 6 26 42
Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators 0 0 0 4 0 4 10 24
Threshold Regression with Nonparametric Sample Splitting 0 0 0 9 0 3 11 49
Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data 0 0 0 9 0 5 10 20
Total Working Papers 0 2 6 285 14 96 308 800

Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Diagnostic Testing of Finite Moment Conditions for the Consistency and Root-N Asymptotic Normality of the GMM and M Estimators 0 0 0 1 1 4 6 11
Efficient minimum distance estimation of Pareto exponent from top income shares 0 0 2 7 1 6 13 30
Estimation and inference about tail features with tail censored data 0 0 0 3 0 1 13 20
Extreme Changes in Changes 0 0 2 3 0 4 22 25
Fixed- Asymptotic Inference About Tail Properties 0 1 1 4 0 11 15 33
Fixed-k Inference for Conditional Extremal Quantiles 0 0 0 1 1 6 16 23
Nearly weighted risk minimal unbiased estimation 0 0 0 1 0 2 10 40
Nonparametric tests of tail behavior in stochastic frontier models 0 0 0 4 1 5 15 37
TESTING FOR HOMOGENEOUS THRESHOLDS IN THRESHOLD REGRESSION MODELS 0 0 0 0 0 4 15 17
The Role of Young Adults' Pleasure Attitudes in Shaping Condom Use 2 2 2 3 3 6 9 15
Threshold regression with nonparametric sample splitting 0 0 2 5 0 5 21 30
Tuning parameter-free nonparametric density estimation from tabulated summary data 0 0 0 2 1 5 14 21
Total Journal Articles 2 3 9 34 8 59 169 302

Software Item File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
ECIC: Stata module to perform estimation and inference for changes in changes at extreme quantiles 0 0 2 7 1 4 14 86
EXQUANTILE: Stata module for estimation and inference for (conditional) extremal quantiles 0 0 1 16 0 5 19 118
TESTOUT: Stata module to execute diagnostic testing of outliers 0 0 3 29 0 3 19 260
Total Software Items 0 0 6 52 1 12 52 464

logo

LogEc Home

Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items

Top Authors

Top Working Paper series and Journals

About LogEc

Authors with papers registered in the RePEc Author Service.

Register yourself as an author or register more papers in the RePEc Author Service.

Authors with no registered papers

RePEc
LogEc provides access and usage statistics for services based on the RePEc data set.

Örebro UniversityLogEc is hosted by the Örebro University School of Business.

Questions or comments? Please see our explanation of how the statistics are collected or e-mail

Since October 2025, abstract view statistics are potentially heavily influenced by traffic from AI bots and tools that we could not eliminate despite our best efforts.

Statistics updated 2026-06-04