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Brad Larsen
Brad Larsen
Stanford University Department of Economics, NBER
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
IV quantile regression for group‐level treatments, with an application to the distributional effects of trade
D Chetverikov, B Larsen, C Palmer
Econometrica 84 (2), 809-833, 2016
1252016
The efficiency of real-world bargaining: Evidence from wholesale used-auto auctions
BJ Larsen
The Review of Economic Studies 88 (2), 851-882, 2021
120*2021
Sequential bargaining in the field: Evidence from millions of online bargaining interactions
M Backus, T Blake, B Larsen, S Tadelis
The Quarterly Journal of Economics 135 (3), 1319-1361, 2020
772020
Consumer Protection in an Online World: An Analysis of Occupational Licensing
C Farronato, A Fradkin, B Larsen, E Brynjolfsson
National Bureau of Economic Research Working Paper Series, 2020
63*2020
The effect of occupational licensing stringency on the teacher quality distribution
B Larsen, Z Ju, A Kapor, C Yu
National Bureau of Economic Research, 2020
59*2020
Bid takers or market makers? The effect of auctioneers on auction outcome
N Lacetera, BJ Larsen, DG Pope, JR Sydnor
American Economic Journal: Microeconomics 8 (4), 195-229, 2016
592016
Discounts and deadlines in consumer search
D Coey, BJ Larsen, BC Platt
American Economic Review 110 (12), 3748-85, 2020
47*2020
Identification in ascending auctions, with an application to digital rights management
J Freyberger, BJ Larsen
Quantitative Economics 13 (2), 505-543, 2022
302022
The bidder exclusion effect
D Coey, B Larsen, K Sweeney
The RAND Journal of Economics 50 (1), 93-120, 2019
29*2019
A mechanism design approach to identification and estimation
B Larsen, AL Zhang
National Bureau of Economic Research, 2018
252018
Dynamic competition in the era of big data
PJ Kehoe, BJ Larsen, E Pastorino
Technical report, working paper, 2018
252018
Ascending auctions with bidder asymmetries
D Coey, B Larsen, K Sweeney, C Waisman
Quantitative Economics 8 (1), 181-200, 2017
182017
Partially adaptive econometric methods for regression and classification
JV Hansen, JB McDonald, P Theodossiou, BJ Larsen
Computational Economics 36 (2), 153-169, 2010
152010
Scalable optimal online auctions
D Coey, BJ Larsen, K Sweeney, C Waisman
Marketing Science 40 (4), 593-618, 2021
12*2021
Using Donald Trump’s COVID-19 Vaccine Endorsement to Give Public Health a Shot in the Arm: A Large-Scale Ad Experiment
B Larsen, MJ Hetherington, SH Greene, TJ Ryan, RD Maxwell, S Tadelis
National Bureau of Economic Research, 2022
72022
Mediation in bargaining: Evidence from large-scale field data on business-to-business negotiations
BJ Larsen, CH Lu, AL Zhang
Working paper, 40, 2020
62020
A test of the extreme value type I assumption in the bus engine replacement model
BJ Larsen, F Oswald, G Reich, D Wunderli
Economics Letters 116 (2), 213-216, 2012
62012
Supplement to “IV quantile regression for group-level treatments, with an application to the distributional effects of trade”
D CHETVERIKOV, B Larsen, C Palmer
Econometrica 84 (2), 809-833, 2016
52016
Quantifying Bargaining Power Under Incomplete Information: A Supply-Side Analysis of the Used-Car Industry
B Larsen, AL Zhang
Available at SSRN 3990290, 2021
42021
Fairness in incomplete information bargaining: Theory and widespread evidence from the field
D Keniston, BJ Larsen, S Li, JJ Prescott, BS Silveira, C Yu
National Bureau of Economic Research, 2021
42021
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