Econometrics and New Yorker fiction
What kind of stories get published?
Ms. [Katherine] Milkman, who has a minor in American studies, read 442 stories printed in The New Yorker from Oct. 5, 1992, to Sept. 17, 2001, and built a substantial database. She then constructed a series of rococo mathematical tests to discern, among other things, whether certain fiction editors at the magazine had a specific impact on the type of fiction that was published, the sex of authors and the race of characters. The study was long on statistics…the thesis segues to the “Kolmogorov-Smirnov Two-Sample Goodness of Fit Test” and the “Pearson Correlation Coefficient Test.”
And what is the main conclusion?
…male editors generally publish male authors who write about male characters who are supported by female characters
Under both [fiction] editors the fiction in the magazine took as its major preoccupations sex, relationships, death, family and travel.
Are you surprised? And what does the magazine say?
“I was personally riveted by the whole thing,” said Roger Angell, a writer at The New Yorker who worked as a fiction editor during part of the period scrutinized by Ms. Milkman. He spent a significant amount of time talking to Ms. Milkman and helped connect her with other people at the magazine. He was charmed by the results but worries they may sow confusion.
“Some unpublished writers are going to read this and say, `I now know what I have to do to get published in The New Yorker,’ and it’s not helpful in that way,” he said. “In the end we published what we liked.”
Here is the New York Times story.
The bottom line: Expect to see more of this kind of analysis in the future. In the longer run I expect all of the humanities disciplines to have a quantitative branch.