Unemployment Insurance Statistics
Title | Unemployment Insurance Statistics PDF eBook |
Author | United States. Bureau of Employment Security |
Publisher | |
Pages | 36 |
Release | 1967-05 |
Genre | Unemployed |
ISBN |
How the Government Measures Unemployment
Title | How the Government Measures Unemployment PDF eBook |
Author | United States. Bureau of Labor Statistics |
Publisher | |
Pages | 24 |
Release | 1987 |
Genre | Government publications |
ISBN |
The Insured Unemployed ...
Title | The Insured Unemployed ... PDF eBook |
Author | United States. Bureau of Employment Security |
Publisher | |
Pages | 400 |
Release | 1962 |
Genre | Unemployed |
ISBN |
Manual of State Employment Security Legislation
Title | Manual of State Employment Security Legislation PDF eBook |
Author | United States. Bureau of Employment Security |
Publisher | |
Pages | 194 |
Release | 1942 |
Genre | Employment agencies |
ISBN |
Unemployment Insurance Financial Data
Title | Unemployment Insurance Financial Data PDF eBook |
Author | |
Publisher | |
Pages | 588 |
Release | 1983 |
Genre | Government publications |
ISBN |
Innovations in Federal Statistics
Title | Innovations in Federal Statistics PDF eBook |
Author | National Academies of Sciences, Engineering, and Medicine |
Publisher | National Academies Press |
Pages | 151 |
Release | 2017-04-21 |
Genre | Social Science |
ISBN | 030945428X |
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.
Modelling Unemployment Insurance
Title | Modelling Unemployment Insurance PDF eBook |
Author | Paola Potestio |
Publisher | Springer Nature |
Pages | 182 |
Release | 2022-01-28 |
Genre | Business & Economics |
ISBN | 3030913198 |
This book examines unemployment insurance policy through a survey, taking stock of the theoretical work in the field of labor economics. It closely follows and assesses developments in the modelling of optimal unemployment insurance (UI) policies, beginning with the initial analytical findings produced in the second half of the 1970s. A main part of the survey is devoted to the two basic strands of analysis about, respectively, the optimal level of UI benefits and the optimal time profile of UI policy. The book has two different objectives. The first is to provide an essential summary of the individual models, with the intention of underscoring how a number of specific messages for the policy-maker can be derived from analytical constructions. It further emphasizes and comments on what the models deliver to UI policy-makers. The second objective is to stress the importance and extension of open questions in the field of the theoretical approach to the unemployment insurance issue. The survey discusses the multiplicity of heterogeneities of the labor world in particular as relevant for UI issues on the one side, and on the other hand, the independence of the two basic choices of UI policy, its meaning and its limits, and the possible forms of complementarity between these choices. The book is a must-read for researchers, students, and policy-makers interested in a better understanding of the field of labor economics in general, as well as unemployment insurance policies in particular.