Variable selection with group structure
Exiting employment at retirement age—a competing risks quantile regression analysis
Bibliographic Data
| ID | 21541966 |
|---|---|
| Authors | Shuolin Shi (0000-0003-1819-1960, Copenhagen Business School, corresponding author), Ralf A Wilke (0000-0002-6105-6345, Copenhagen Business School) |
| Year | 2022 |
| Volume | 62 |
| Issue | 1 |
| Pages | 119-155 |
| Publication date | 2022-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Empirical Economics (JOURNAL) |
| Journal identifiers | ISSN: 0377-7332 • E-ISSN: 1435-8921 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00181-020-01918-z |
| OpenAlex | W3080252057 |
| Language | EN |
| References cited | 43 |
Actuarial science · Covariate · Danish · Econometrics · Economics · Oracle · Pension · Quantile · Quantile regression · Regression · Regression analysis · Statistics · Computer Science · Insurance, Mortality, Demography, Risk Management · Mathematics · Retirement, Disability, and Employment · Spatial and Panel Data Analysis · Finance
Model Selection and Estimation in Regression with Grouped Variables
The Adaptive Lasso and Its Oracle Properties
Double/debiased machine learning for treatment and structural parameters
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Regularization Paths for Generalized Linear Models via Coordinate Descent
Regression Shrinkage and Selection Via the Lasso
Regression Quantiles
Unemployment Durations in West Germany Before and After the Reform of the Unemployment Compensation System during the 1980s
| Highly cited | No |
|---|