The information method - theory and application
AbstractWhen estimating the extent of e.g. excess use of public benefits one traditionally uses direct monitoring. Such direct estimates are afflicted with an intrinsic negative bias since you only count what you find. This paper presents and assesses an alternative intuitive, yet relatively unexplored, approach that may reduce the bias by making use of the individual's own response to information of increased monitoring. Through an extensive randomized social experiment we apply the method to one particular Swedish public benefit: Parental Benefit for Temporary Childcare. In our view the application was successful: the results are interpretable and we are able to surface more hidden excess use through the information method. As a rough estimate we find that the information based estimate of excess use is 40 percent higher than the corresponding estimate based on ordinary random monitoring (22.5 percent compared to 16 percent). The method is potentially applicable to a large number of related fields, such as e.g. tax evasion and insurance fraud.
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Bibliographic InfoPaper provided by IFAU - Institute for Evaluation of Labour Market and Education Policy in its series Working Paper Series with number 2007:17.
Length: 38 pages
Date of creation: 20 Aug 2007
Date of revision:
Monitoring; Social insurance; Randomized experiments;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-09-09 (All new papers)
- NEP-EXP-2007-09-09 (Experimental Economics)
- NEP-IAS-2007-09-09 (Insurance Economics)
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