Replication data for: Valuing New Goods in a Model with Complementarity: Online Newspapers

Principal Investigator(s):  View help for Principal Investigator(s) Matthew Gentzkow

Version:  View help for Version V1

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Project Citation: 

Gentzkow, Matthew. Replication data for: Valuing New Goods in a Model with Complementarity: Online Newspapers. Nashville, TN: American Economic Association [publisher], 2007. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116273V1

Project Description

Summary:  View help for Summary Many important economic questions hinge on the extent to which new goods either crowd out or complement consumption of existing products. Recent methods for studying new goods rule out complementarity by assumption, so their applicability to these questions has been limited. I develop a new model that relaxes this restriction, and use it to study competition between print and online newspapers. Using new micro data from Washington, DC, I estimate the relationship between the print and online papers in demand, the welfare impact of the online paper's introduction, and the expected impact of charging positive online prices. (JEL C25, L11, L82)

Scope of Project

JEL Classification:  View help for JEL Classification
      C25 Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
      L11 Production, Pricing, and Market Structure; Size Distribution of Firms
      L82 Entertainment; Media


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