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date: 17 May 2022

Abstract and Keywords

After considering the appropriate definitions of honesty and integrity the chapter uses a framework of behavioral economics to discuss plagiarism, its payoff, its frequency, and its risks. It then discusses outright fraud, that is, the making up of alleged results out of thin air. But its main emphasis is on econometricians distorting their findings either for material gain, or to support their biases, or else to make their work seem more impressive. It discusses ways of doing this, such as biased data mining and misusing significance tests, and also ways by which such maneuvers could be reduced. The picture that emerges is that lack of integrity is a more serious problem in econometrics than is widely assumed.

Keywords: data mining, distorting results, honesty, integrity, misused significance tests, plagiarism

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