Analysing Inequalities in Germany [electronic resource] : A Structured Additive Distributional Regression Approach / by Alexander Silbersdorff.
Вид матеріалу:
Текст Серія: SpringerBriefs in StatisticsПублікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: X, 98 p. 20 illus., 18 illus. in color. online resourceТип вмісту: - text
- computer
- online resource
- 9783319653310
- Statistics
- Economic theory
- Labor economics
- Social structure
- Social inequality
- Health economics
- Statistics for Business, Management, Economics, Finance, Insurance
- Economic Theory/Quantitative Economics/Mathematical Methods
- Labor Economics
- Statistical Theory and Methods
- Social Structure, Social Inequality
- Health Economics
- 330.015195 23
- QA276-280
ЕКнига
Списки з цим бібзаписом:
Springer Ebooks (till 2020 - Open Access)+(2017 Network Access))
|
Springer Ebooks (2017 Network Access))
Preface -- Introduction.- Inequality and Earnings Distributions -- Estimating and Assessing Distributional Regression -- The Distributional Perspective and Labour Markets -- Applications of SADR in Economics -- Conclusion -- Index.
This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators. This new approach allows the observed discrepancy between the individuals’ realities and the abstract representation of those realities to be explicitly taken into consideration using the arithmetic mean alone. In turn, the method is applied to the question of economic inequality in Germany.
Available to subscribing member institutions only. Доступно лише організаціям членам підписки.
Online access from local network of NaUOA.
Online access with authorization at https://link.springer.com/
Онлайн-доступ з локальної мережі НаУОА.
Онлайн доступ з авторизацією на https://link.springer.com/
Немає коментарів для цієї одиниці.