My Account Log in

1 option

Detecting Fraud in Development Aid / Jean Ensminger, Jetson Leder-Luis.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Ensminger, Jean.
Contributor:
National Bureau of Economic Research.
Leder-Luis, Jetson.
Series:
Working Paper Series (National Bureau of Economic Research) no. w30768.
NBER working paper series no. w30768
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2022.
Summary:
When organizations have limited accountability, antifraud measures, including auditing, often face barriers due to institutional resistance and practical difficulties on the ground. This is especially true in development aid, where aid organizations face incentives to suppress information about misappropriated funds and may operate with limited transparency. We develop new statistical tests to uncover strategic data manipulation consistent with fraud. These tests help identify falsified expense reports and facilitate monitoring in difficult-to-audit circumstances, relying only on mandated reporting of data. While the digits of naturally occurring data follow the Benford's Law distribution, humanly-produced data instead reflect behavioral biases and incentives to misreport. Our new tests improve upon existing Benford's Law tests by being sensitive to the value of digits reported, which distinguishes between intent to defraud and error, and by improving statistical power to allow for finer partitioning of the data.
We apply this method to a World Bank development project in Kenya. Our evidence is consistent with higher levels of fraud in harder to monitor sectors and in a Kenyan election year when graft also had political value. The results are validated by qualitative data and a forensic audit conducted by the World Bank. We produce simulations that demonstrate the superiority of our new tests to the standards in the field. Our tests are useful beyond development aid, including for monitoring corporate accounting and government expenditures.
Notes:
Print version record
December 2022.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account