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Who Blows the Whistle on Corporate Fraud?
Dyck, Alexander - 2007
What external control mechanisms are most effective in detecting corporate fraud? To address this question we study in … depth all reported cases of corporate fraud in companies with more than 750 million dollars in assets between 1996 and 2004 …. We find that fraud detection does not rely on one single mechanism, but on a wide range of, often improbable, actors …
Persistent link: https://www.econbiz.de/10012465774
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Unethical Culture, Suspect CEOs and Corporate Misbehavior
Biggerstaff, Lee - 2013
We show that firms with CEOs who personally benefitted from options backdating were more likely to engage in other forms of corporate misbehavior, suggestive of an unethical corporate culture. These firms were more likely to overstate firm profitability and to engage in less profitable...
Persistent link: https://www.econbiz.de/10012459399
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Trust and Cheating
Butler, Jeffrey V. - 2012
When we take a cab we may feel cheated if the driver takes an unnecessarily long route despite the lack of a contract or promise to take the shortest possible path. Is our decision to take the cab affected by our belief that we may end up feeling cheated? Is the behavior of the driver affected...
Persistent link: https://www.econbiz.de/10012460152
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Does Transparency Reduce Favoritism and Corruption? Evidence from the Reform of Figure Skating Judging
Zitzewitz, Eric - 2012
Transparency is usually thought to reduce favoritism and corruption by facilitating monitoring by outsiders, but there is concern it can have the perverse effect of facilitating collusion by insiders. In response to vote trading scandals in the 1998 and 2002 Olympics, the International Skating...
Persistent link: https://www.econbiz.de/10012460925
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Organizational Structure and Pricing : Evidence from a Large U.S. Airline
Hortaçsu, Ali; Natan, Olivia R.; Parsley, Hayden; … - National Bureau of Economic Research - 2021
We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these...
Persistent link: https://www.econbiz.de/10012696417
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The Structure of Economic News
Bybee, Leland - 2020
We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984{2017, we estimate a topic model that summarizes business news as easily interpretable topical themes and quantifies the...
Persistent link: https://www.econbiz.de/10012479172
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Technology and Big Data Are Changing Economics : Mining Text to Track Methods
Currie, Janet - 2020
The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can...
Persistent link: https://www.econbiz.de/10012479239
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Predicting Returns With Text Data
Ke, Zheng Tracy - 2019
We introduce a new text-mining methodology that extracts sentiment information from news articles to predict asset returns. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built with dictionary-based methods), our supervised...
Persistent link: https://www.econbiz.de/10012480131
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Combining Family History and Machine Learning to Link Historical Records
Price, Joseph - 2019
A key challenge for research on many questions in the social sciences is that it is difficult to link historical records in a way that allows investigators to observe people at different points in their life or across generations. In this paper, we develop a new approach that relies on millions...
Persistent link: https://www.econbiz.de/10012480171
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Machine Learning for Solar Accessibility : Implications for Low-Income Solar Expansion and Profitability
Davuluri, Sruthi - 2019
The solar industry in the US typically uses a credit score such as the FICO score as an indicator of consumer utility payment performance and credit worthiness to approve customers for new solar installations. Using data on over 800,000 utility payment performance and over 5,000 demographic...
Persistent link: https://www.econbiz.de/10012480230