Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Guido W. Imbens"'
Publikováno v:
The Quarterly Journal of Economics. 138:1-35
In empirical work it is common to estimate parameters of models and report associated standard errors that account for "clustering" of units, where clusters are defined by factors such as geography. Clustering adjustments are typically motivated by t
Publikováno v:
Management Science. 68:1737-1755
Adding domain knowledge to a learning system is known to improve results. In multiparameter Bayesian frameworks, such knowledge is incorporated as a prior. On the other hand, the various model parameters can have different learning rates in real-worl
Autor:
Guido W. Imbens
Publikováno v:
Econometrica. 90:2541-2566
This essay describes the evolution and recent convergence of two methodological approaches to causal inference. The first one, in statistics, started with the analysis and design of randomized experiments. The second, in econometrics, focused on sett
Autor:
Susan Athey, Guido W. Imbens
Publikováno v:
Journal of Econometrics. 226:62-79
In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the staggered adoption setting where units, e.g, individuals, firms, or states, adopt the policy or treatment of interest at a
Autor:
Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen
Publikováno v:
Statistical Science.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
American Economic Review. 111:4088-4118
We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we find, both theoretically and empirically, that this “
Publikováno v:
Econometric Theory. 39:1-26
Autor:
Guido W. Imbens
Publikováno v:
Journal of Economic Perspectives. 35:157-174
The use of statistical significance and p-values has become a matter of substantial controversy in various fields using statistical methods. This has gone as far as some journals banning the use of indicators for statistical significance, or even any
Autor:
Susan Athey, Guido W. Imbens
Publikováno v:
Observational Studies. 7:127-133