Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Kaspar Wüthrich"'
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Akademický článek
The Physics of Explosion Physik der Explosion
Autor: Kaspar Wüthrich
Publikováno v: CHIMIA, Vol 57, Iss 12 (2003)
Some interesting physical aspects of chemical explosions are compiled. An explosion is understood as a fast release of energy. There are many types of explosion, including a deflagration as a pressure-controlled explosion and a detonation as an explo
Externí odkaz: https://doaj.org/article/a7978fd1506d48cca65e53fd2b219d2e
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2
Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis
Autor: Kaspar Wüthrich, Ying Zhu
Publikováno v: The Review of Economics and Statistics, vol 105, iss 4
We study the finite sample behavior of Lasso-based inference methods such as post double Lasso and debiased Lasso. We show that these methods can exhibit substantial omitted variable biases (OVBs) due to Lasso not selecting relevant controls. This ph
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372b30594c3b5d84ca1244777ebccfb1
https://escholarship.org/uc/item/1gp6g9gm
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3
Detecting p‐Hacking
Autor: Graham Elliott, Nikolay Kudrin, Kaspar Wüthrich
Publikováno v: Econometrica. 90:887-906
We theoretically analyze the problem of testing for p‐hacking based on distributions of p‐values across multiple studies. We provide general results for when such distributions have testable restrictions (are non‐increasing) under the null of n
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9746500c9e6a63f7df5242d42828a9a5
https://doi.org/10.3982/ecta18583
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5
Distributional conformal prediction
Autor: Yinchu Zhu, Kaspar Wüthrich, Victor Chernozhukov
Publikováno v: Proc Natl Acad Sci U S A
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 48
We propose a robust method for constructing conditionally valid prediction intervals based on models for conditional distributions such as quantile and distribution regression. Our approach can be applied to important prediction problems, including c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e77e284537c5a4b430f4c3208d94d3cc
https://europepmc.org/articles/PMC8640792/
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6
Financial incentives and physician prescription behavior: Evidence from dispensing regulations
Autor: Daniel Burkhard, Kaspar Wüthrich, Christian Schmid
Publikováno v: Health Economics. 28:1114-1129
In many health care markets, physicians can respond to changes in reimbursement schemes by changing the volume (volume response) and the composition of services provided (substitution response). We examine the relative importance of these two behavio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e499d8512ec7197ba55b12f1ba4134f
https://doi.org/10.1002/hec.3893
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7
A Comparison of Two Quantile Models With Endogeneity
Autor: Kaspar Wüthrich
Publikováno v: Journal of Business and Economic Statistics, vol 38, iss 2
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, vol 38, iss 2
This paper analyzes estimators based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006) under the local quantile treatment effects (LQTE) framework (Abadie et al., 2002). I show that the quantile
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b19dd4790b2c72cd4864c2ccb3fe9b4
https://escholarship.org/uc/item/0q43931f
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8
Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes
Autor: Blaise Melly, Ivan Fernandez-Val, Kaspar Wüthrich, Victor Chernozhukov
Publikováno v: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol 115, iss 529
Chernozhukov, Victor; Fernandez-Val, Ivan; Melly, Blaise; Wüthrich, Kaspar (September 2016). Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (Discussion Papers 16-07). Bern: Department of Economics
Journal of the American Statistical Association, vol 115, iss 529
arXiv
Quantile and quantile effect functions are important tools for descriptive and causal analyses due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This paper off
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b64591e3d462ba7e96ee7e758c367957
https://escholarship.org/uc/item/5zm6m9rq
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9
Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments
Autor: Karthik Muralidharan, Mauricio Romero, Kaspar Wüthrich
Publikováno v: SSRN Electronic Journal.
Factorial designs are widely used to study multiple treatments in one experiment. While t-tests using a fully-saturated “long” model provide valid inferences, “short” model t-tests (that ignore interactions) yield higher power if interactions
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee6dd34cd02fe5a117325efff3997ff0
https://doi.org/10.2139/ssrn.3551804
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10
Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments
Autor: Kaspar Wüthrich, Mauricio Romero, Karthik Muralidharan
Factorial designs are widely used for studying multiple treatments in one experiment. While “long” model t-tests provide valid inferences, “short” model t-tests (ignoring interactions) yield higher power if interactions are zero, but incorrec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e2443d68733fa0ed2633dcbbac5d778
https://doi.org/10.3386/w26562
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