Marian Moszoro
U. C. Berkeley & Kozminski University



(Monday, 18th May 2015)

Title : Textual Analysis for Hypotheses Testing

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Empirical testing has become the touchstone of sound economic theory, especially in the era of big data. In this session, we are going to explore some simple (and not-so-simple) algorithmic data reading techniques that may be applied to create novel datasets from textual documents to test hypotheses in social sciences. Applications include: court decisions, laws and regulations, contracts, codes of conduct, management reports, media news, etc.

Bibliographical references :

Beuve, Jean, Marian Moszoro, and Stéphane Saussier. 2014. Political Contestability and Contract Rigidity: An Analysis of Procurement Contracts. SSRN Library:

Ahern, Kenneth and Denis Sosyura. 2014. Who Writes the News? Corporate Press Releases during Merger Negotiations. Journal of Finance 69, 241-291.

Talley, Eric and Drew O'Kane. 2012. The Measure of a MAC: A Machine-Learning Protocol for Analyzing Force Majeure Clauses in M&A Agreements. Journal of Institutional and Theoretical Economics 168 (1), 181-201.