It takes the average reader 5 hours and 3 minutes to read Using Computers to Combat Welfare Fraud by David Greenberg
Assuming a reading speed of 250 words per minute. Learn more
In this study, David Greenberg and Douglas Wolf describe, systematize, and evaluate the cost effectiveness of computerized anti-fraud procedures in public welfare programs. In particular, they discusss the Congressionally mandated wage matching systems used to check for under-reported or non-reported incomes of participants in the AFDC and Food Stamp Programs. The authors describe the implementation of such systems in several local areas around the country, point out factors that currently impede the use of wage matching, and suggest ways of reducing such impediments. They also enumerate the advantages and disadvantages of alternative wage matching procedures and techniques, both in theory and practice. Cost benefit analyses of four existing wage matching systems are then presented. Finally, the authors present their conclusions and make recommendations. This volume is complete with a flow chart showing the operation of a typical wage-matching system, and a table summarizing the costs and benefits to the government of running such systems.
Using Computers to Combat Welfare Fraud by David Greenberg is 296 pages long, and a total of 75,776 words.
This makes it 100% the length of the average book. It also has 93% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 54 minutes to read Using Computers to Combat Welfare Fraud aloud.
Using Computers to Combat Welfare Fraud is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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