We use individual and aggregate data to ask how the Internet is changing the ideological segregation of the American electorate. Focusing on online news consumption, offline news consumption, and face-to-face social interactions, we define ideological segregation in each domain using standard...

We propose a way to formalize the relationship between descriptive analysis and structural estimation. A researcher reports an estimate ĉ of a structural quantity of interest c that is exactly or asymptotically unbiased under some base model. The researcher also reports descriptive statistics...

A Bayesian consumer who is uncertain about the quality of an information source will infer that the source is of higher quality when its reports conform to the consumer's prior expectations. We use this fact to build a model of media bias in which firms slant their reports toward the prior...

We study the competitive forces that shaped ideological diversity in the US press in the early twentieth century. We find that households preferred like-minded news and that newspapers used their political orientation to differentiate from competitors. We formulate a model of newspaper demand,...

Using data from 1869-1928, we estimate the effect of party control of state elected offices on the entry, exit, circulation, and content of Republican and Democratic daily newspapers. We exploit changes over time in party control of the governorship and state legislatures in a...

Using data from 1869 to 1928, we estimate the effect of party control of state governments on the entry, exit, circulation, prices, number of pages, and content of Republican and Democratic daily newspapers. We exploit changes over time in party control of the governorship and state legislatures...

We use new data on entries and exits of US daily newspapers from 1869 to 2004 to estimate effects on political participation, party vote shares, and electoral competitiveness. Our identification strategy exploits the precise timing of these events and allows for the possibility of confounding...

We use new data on entries and exits of US daily newspapers from 1869 to 2004 to estimate effects on political participation, party vote shares, and electoral competitiveness. Our identification strategy exploits the precise timing of these events and allows for the possibility of confounding...

We use data on US newspapers from the early 20th century to study the economic incentives that shape ideological diversity in the media. We show that households prefer like-minded news, and that newspapers seek both to cater to household tastes and to differentiate from their competitors. We...

We use individual and aggregate data to ask how the Internet is changing the ideological segregation of the American electorate. Focusing on online news consumption, offline news consumption, and face-to-face social interactions, we define ideological segregation in each domain using standard...