1. The
relationship between corruption, politics and business activity is contentious,
but one bottom line is that corruption tends to deter investment.
2. It
is difficult to measure corruption objectively because honest answers to questions
about corruption can have adverse consequences on the answering party.
3. Therefore,
“much of what we know about corruption is either through the subjective
evaluations of experts or through the use of firm-level surveys that are
plagued by non-responses to direct questions on corruption as well as bias (due to fear of reporting)"
4. This
study looks at Bangladesh, one of the most corrupt countries in the world, and
uses a randomized response technique (which mitigates the above problems, for
example by allowing for deniability) to evaluate the extent of truthfulness of
replies to questions about corruption.
5. Utilising
RRT techniques, while not assuring truthful responses, allows researchers to
evaluate patterns of responses and to help identify potentially ‘reticent’
respondents.
6. The
results suggest a large under-reporting of corruption in firm-level surveys in
Bangladesh and show that the types of firms providing non-responses are also those
that tend to provide reticent responses: i.e., “the same unobservable factors
leading firms to avoid answering questions on corruption also cause them to
systematically under report the level of corruption when required to answer
questions”.
7. This
indicates a positive relationship between the level of firm investment and the
chance that a firm will provide potentially reticent responses to corruption
questions, and suggests the need for caution in the design of surveys measuring
corruption and the interpretation of the relationship between corruption and
investment.
It is
difficult to predict whether answers to questions about corruption in
businesses are reticent or untruthful, but the use of RRTs in this area has
found that the type of firm that is likely to provide reticent responses to
questions about corruption is also likely to incur high levels of investment-
this finding greatly helps improve interpretations of the relationship between
corruption and investment and to design better surveys to get more accurate
information about corruption in business firms.
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