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Multidimensional media slant: Complementarities in news reporting by US newspapers

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  • García-Uribe, Sandra

Abstract

This paper studies front-page choices made by editors of major US newspapers. I document that newspaper front pages are biased to certain combinations of news after controlling for the newspaper bias and the overall market coverage of such news. I also provide a reader-maximization model for front-page decisions that I use to interpret the empirical biases as preferences of the newspaper population of target readers. Through the lens of my model, my estimates recover maps of complementarities among pairs of topics for each newspaper and I find that these contribute to the probability that news on a topic appears on the front page.

Suggested Citation

  • García-Uribe, Sandra, 2022. "Multidimensional media slant: Complementarities in news reporting by US newspapers," Information Economics and Policy, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:iepoli:v:61:y:2022:i:c:s0167624522000452
    DOI: 10.1016/j.infoecopol.2022.101006
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    More about this item

    Keywords

    Complementarities; Discrete choice; Mass media; Media bias; Multiple products;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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