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Does corruption slow down innovation? Evidence from a cointegrated panel of U.S. states

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  • Dincer, Oguzhan

Abstract

I investigate the long-run relationship between corruption and innovative activity using annual data from 48 contiguous U.S. states between 1977 and 2006. Using U.S. data allows me to work with a panel long enough to exploit time series properties of the data. I use two different measures of innovative activity: one measuring the quantity and the other measuring the quality of the patents granted. I also use two different measures of corruption: one based on the number of corruption convictions, the other based on number of corruption stories covered in Associated Press news wires. Following Pedroni (1999, 2000), I estimate the cointegrating relationship between corruption and innovative activity with Fully Modified Ordinary Least Squares (FMOLS). The results indicate that corruption indeed slows down innovation in the long-run.

Suggested Citation

  • Dincer, Oguzhan, 2019. "Does corruption slow down innovation? Evidence from a cointegrated panel of U.S. states," European Journal of Political Economy, Elsevier, vol. 56(C), pages 1-10.
    • Handle: RePEc:eee:poleco:v:56:y:2019:i:c:p:1-10
    DOI: 10.1016/j.ejpoleco.2018.06.001
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    Keywords

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    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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