English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Rationing & bayesian expectations with application to the labour market

Förster, H. (2008): Rationing & bayesian expectations with application to the labour market, (PIK Report ; 110), Potsdam : Potsdam-Institut für Klimafolgenforschung, 240 p.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_14742 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_14742_3
Genre: Report

Files

show Files
hide Files
:
3601.pdf (Any fulltext), 7MB
 
File Permalink:
-
Name:
3601.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://www.pik-potsdam.de/en/output/publications/pikreports (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Förster, H.1, Author
Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: The first goal of the presentwork focuses on the need for different rationing methods of the The Global Change and Financial Transition (GFT) working group at the Potsdam Institute for Climate Impact Research (PIK): I provide a toolbox which contains a variety of rationing methods to be applied to micro-economic disequilibrium models of the lagom model family. This toolbox consists of well known rationing methods, and of rationing methods provided specifically for lagom. To ensure an easy application the toolbox is constructed in modular fashion. The second goal of the present work is to present a micro-economic labour market where heterogenous labour suppliers experience consecutive job opportunities and need to decide whether to apply for employment. The labour suppliers are heterogenous with respect to their qualifications and their beliefs about the application behaviour of their competitors. They learn simultaneously – in Bayesian fashion – about their individual perceived probability to obtain employment conditional on application (PPE) by observing each others’ application behaviour over a cycle of job opportunities.

Details

show
hide
Language(s): eng - English
 Dates: 20082008
 Publication Status: Finally published
 Pages: 240
 Publishing info: Potsdam : Potsdam-Institut für Klimafolgenforschung
 Table of Contents: -
 Rev. Type: -
 Identifiers: PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 3601
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PIK Report
Source Genre: Series
 Creator(s):
Potsdam-Institut für Klimafolgenforschung, Editor              
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: 110 Sequence Number: - Start / End Page: - Identifier: ISSN: 1436-0179