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[[Image:JohnLott.jpeg|right|thumb|John Lott]]'''John Richard Lott Jr.''' (born [[May 8]] [[1958]]) is a visiting senior research scientist at the University of Maryland, College Park and has held research positions at numerous institutions, including the University of Chicago, Yale University, the Wharton School at the University of Pennsylvania, and the American Enterprise Institute. He holds a Ph.D. in economics from UCLA, and his research interests include econometrics, law and economics, public choice theory, industrial organization, public finance, microeconomics, and environmental regulation.  
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[[Image:JohnLott.jpeg|right|thumb|John Lott]]'''John Richard Lott Jr.''' (born May 8 1958) is a visiting senior research scientist at the University of Maryland, College Park and has held research positions at numerous institutions, including the University of Chicago, Yale University, the Wharton School at the University of Pennsylvania, and the American Enterprise Institute. He holds a Ph.D. in economics from UCLA, and his research interests include econometrics, law and economics, public choice theory, industrial organization, public finance, microeconomics, and environmental regulation.  
  
 
Lott is also a well-known author in both academia and in popular culture. He has published over 90 articles in peer-reviewed academic journals related to his research areas, and has authored five books, including ''[[More Guns, Less Crime]]'', ''[[The Bias Against Guns]]'', and ''Freedomnomics''.
 
Lott is also a well-known author in both academia and in popular culture. He has published over 90 articles in peer-reviewed academic journals related to his research areas, and has authored five books, including ''[[More Guns, Less Crime]]'', ''[[The Bias Against Guns]]'', and ''Freedomnomics''.
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In work with Kevin Hassett at the American Enterprise Institute, they provided a systematic measure of media bias.[http://papers.ssrn.com/sol3/papers.cfm?abstract_id=588453] They solved the problem of how to objectively measure what the actual news story was and then obtain an objective measure of how it was covered by newspapers.    Their results suggest that American newspapers tend to give more positive news coverage to the same economic news when Democrats are in the Presidency than for Republicans. When all types of news are pooled into a single analysis, their results are highly significant.  
 
In work with Kevin Hassett at the American Enterprise Institute, they provided a systematic measure of media bias.[http://papers.ssrn.com/sol3/papers.cfm?abstract_id=588453] They solved the problem of how to objectively measure what the actual news story was and then obtain an objective measure of how it was covered by newspapers.    Their results suggest that American newspapers tend to give more positive news coverage to the same economic news when Democrats are in the Presidency than for Republicans. When all types of news are pooled into a single analysis, their results are highly significant.  
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=== Affirmative action in police departments ===
 
=== Affirmative action in police departments ===

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