Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Joshua D. Angrist"'
Autor:
Joshua D. Angrist, Brigham Frandsen
Publikováno v:
Journal of Labor Economics. 40:S97-S140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5de25f195f5a09308ec41278ad0a7a
https://doi.org/10.1086/717933
https://doi.org/10.1086/717933
Autor:
Joshua D. Angrist
Publikováno v:
Econometrica. 90:2509-2539
The view that empirical strategies in economics should be transparent and credible now goes almost without saying. By revealing for whom particular instrumental variables (IV) estimates are valid, the local average treatment effects (LATE) framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5681a27f5f88fa0071da889bb118e1a
https://doi.org/10.3982/ecta20640
https://doi.org/10.3982/ecta20640
Publikováno v:
American Economic Journal: Applied Economics. 13:272-308
Rideshare drivers pay a proportion of their fares to a ride-hailing platform operator, a commission-based compensation model used by many service providers. To Uber drivers, this commission is known as the Uber fee. By contrast, traditional taxi driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d53e12514dbc1fd3a9da010b0fa996
https://doi.org/10.1257/app.20190655
https://doi.org/10.1257/app.20190655
Autor:
Michal Kolesár, Joshua D. Angrist
Two-stage least squares estimates in heavily over-identified instrumental variables (IV) models can be misleadingly close to the corresponding ordinary least squares (OLS) estimates when many instruments are weak. Just-identified (just-ID) IV estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e35f7634ef775a4aee1da99d031c9016
https://doi.org/10.3386/w29417
https://doi.org/10.3386/w29417
Publikováno v:
American Economic Review: Insights. 1:309-324
We use the discontinuous function of enrollment known as Maimonides Rule as an instrument for class size in large Israeli samples from 2002-2011. As in the 1991 data analyzed by Angrist and Lavy (1999), Maimonides Rule still has a strong first stage.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a7801f33083ff6d6e000a407f75697
https://doi.org/10.1257/aeri.20180120
https://doi.org/10.1257/aeri.20180120
Many schools in large urban districts have more applicants than seats. Centralized school assignment algorithms ration seats at over‐subscribed schools using randomly assigned lottery numbers, non‐lottery tie‐breakers like test scores, or both.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd0c218897bcff642be6de81bd5f297
http://arxiv.org/abs/2101.01093
http://arxiv.org/abs/2101.01093
Many large urban school districts match students to schools using algorithms that incorporate an element of random assignment. We introduce two simple empirical strategies to harness this randomization for value-added models (VAMs) measuring the caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb20b652bf4960cefde12e0bdc3f2822
https://doi.org/10.3386/w28241
https://doi.org/10.3386/w28241
Financial aid from the Susan Thompson Buffett Foundation (STBF) provides exceptionally generous support to a college population similar to that served by a host of state aid programs. In conjunction with STBF, we randomly assigned aid awards to thous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1703e6424a17c57eed4af405b5f85ff4
https://doi.org/10.3386/w27834
https://doi.org/10.3386/w27834
Publikováno v:
American Economic Review. 107:240-245
Many school and college admission systems use centralized mechanisms to allocate seats based on applicant preferences and school priorities. When tie-breaking uses non-randomly assigned criteria like distance or a test score, applicants with the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b18807b52c84c44b924ad2b634570ce1
https://doi.org/10.1257/aer.p20171111
https://doi.org/10.1257/aer.p20171111
Publikováno v:
American Economic Review. 107:293-297
We examine the evolution of economics research using a machine-learning-based classification of publications into fields and styles. The changing field distribution of publications would not seem to favor empirical papers. But economics' empirical sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e34cd5366cb5d2cf5cbf19b70182c01
https://doi.org/10.1257/aer.p20171117
https://doi.org/10.1257/aer.p20171117