Presentation Transcript

1. LABOR TOPICSNick BloomDiscrimination
2. Thoughts on Bertrand and MullainathanOther papersA research idea
3. Comments on Bertrand and Mullainathan (1/2) I love this kind of paper – ingenious, informative & well executed. It took a lot of effort but was clearly well worth it. Developed the idea far beyond just black/white names: Always need to push multiple angles Takes time and feedback (seminars) Think big – raising funds for good studies is not impossible (at least not at Stanford). Best way is step-by-step: pilot, raise small sum, bigger pilot, raise a larger sum etc… Collect data on everything – they recorded lots of information, and kept all the adverts during the period
4. Comments on Bertrand and Mullainathan (2/2) Table 7 is a good example of a well explained table – in particular the full footnotes! Tables & figures should be self contained
5. Comments on Bertrand and Mullainathan (2/2) I assume much of section “IV Interpretation” derived from seminar and referees feedback. When writing a paper always acknowledge problems and try to address them Also to note: papers accrue footnotes in response to comments and feedback – e.g. footnote 43. Better to keep these in and drop in the refereeing process
6. Thoughts on Bertrand and MullainathanOther papersA research idea
7. The Nature and Extent of Discrimination in the Marketplace: Evidence from the FieldQuarterly Journal of Economics, 2004by John List (Chicago) 1989 Upper Deck Ken Griffey Jr http://www.slate.com/id/2191533/
8. Shows evidence of statistical discrimination in buying and selling of baseball cards Paper uses four different experiments employing subjects at baseball card conventions to test between: Animus discrimination Statistical discrimination Bargaining ability differences (not an issue in B&M) Finds evidence of discrimination against women, minorities and old people (those aged above 30!) Effects mostly initial offer price, to a lesser extent final acceptance price, and also bargaining time Strongest effect for least experienced minorities
9. Innovative methodology of multiple tests and direct recruitment of the public (1/4) The paper is very well thought out in terms of running four different experiments to distinguish between hypothesis Experiment A: Recruit subjects to randomly approach dealers to buy/sell cards. Select mix of subjects by demographics - Also collect information on subjects - Different subjects approach same dealer
10. Evidence for discrimination (1/3)
11. Evidence for discrimination (2/3)
12. Evidence for discrimination (3/3)
13. Experienced dealers discriminate more
14. Innovative methodology of multiple tests and direct recruitment of the public (2/4) Experiment B: Also asks subjects to play a $5 dictator game, telling them in advance demographics of their partner Finds no evidence of differential treatment (i.e. no animus)
15. Innovative methodology of multiple tests and direct recruitment of the public (3/4) Experiment C: Also asks subjects to play two Chamberlain games – in one people are given random reservation prices, in the other they are not - Finds no evidence of differential treatment in first game - Finds evidence of differential treatment in the second Suggests discrimination related to dealers views over different reservation prices
16. Innovative methodology of multiple tests and direct recruitment of the public (4/4) Experiment D: Play Vickrey (second-price) auctions to find out subjects reserve valuations for cards Evidence minorities, women and older people have more dispersion, so discrimination is profit maximizing
17. Impressive paper, but rather complex Neat paper with clear identification and well thought out. But less cited than B&M (200 vs 1500 Google scholar hits) Key reason is probably complexity – B&M has one neat idea and simple execution (and a memorable title). But complexity matters less in long-run – so should age well List takes a number of steps to ease presentation – like bullet point result summaries, e.g.
18. ORCHESTRATING IMPARTIALITY: THE IMPACT OF “BLIND” AUDITIONS ON FEMAL MUSICIANSAmerican Economic Review, 2000Claudia Goldin and Cecilia Rouse
19. Finds evidence in favor of discrimination against females Evidence that orchestra’s historically had been discriminatory towards women: “I just don’t think women should be in orchestras” Zubin Mehta, conductor to the LA and NY Philharmonics from 1964-1978 and 1978-1990 respectively Orchestras started introducing blind auditions in 1970s and 1980s, but with a wide time spread (Boston had some in the 1950s while Cleveland had none in 2000)
20. Uses data from staggered introduction of blind orchestra auditions In the raw data the success rate of females in auditions after the introduction of blind auditions goes down! But if you control of quality – i.e. look at people who repeatedly audition – it goes up Hence, evidence is that: (A) Blind auditions helped improved female success rates (B) As a result more marginal female candidates applied, pushing down average success rates of women
21. Women have a lower unconditional success rate in blind auditions Trouble seeing this table?
22. A lot easier to see with the full screen
23. But a higher success rate conditional on taking part in blind and non-blind auditions (i.e. controlling for selection changes)
24. Simple neat idea which is well executed Key idea of using blind-orchestra auditions is great – simple to understand and clean results Also well written: clear on it’s statistical defects (small sample and reversed results) – again, do acknowledge issues As a result is quite well cited and well known Also fits the AER shorter-papers format – crisp clean result
25. TESTING THEORIES OF DISCRIMINATION: EVIDENCE FROM THE WEAKEST LINK Journal of Law & Economics, 2004Steve Levitt
26. Uses data from “The Weakest link” game shows & finds limited discrimination evidence Game show where: The final prize is a function of number of correctly answered questions Only one winner that collects this final prize Start with many contestants and they vote each other out Strategy is early on to vote out bad contestants and later on to vote out good contestants Finds some evidence for: statistical discrimination against hispanics: voted out more early on and less later then prior performance warrants animus discrimination against old people (50+): always voted out more often
27. The visible hand: race and online market outcomes Stanford mimeo (2013, EJ) Jennifer Doleac and Luke Stein
28. Randomizes over the hand color holding an IPod sold on-line to test for discrimination Find black sellers receive 17% less offers than white sellers Black effect similar in magnitude to having a wrist tattoo Black sellers also face lower trust (buyers less willing to use names in an e-mail, provide an address etc.) Discrimination particularly a problem in thin markets – competition helps drive out discrimination
29. Photos
30. Photos – recognize anyone? Luke Stein Ken Arrow Me (nick bloom) Trudy