Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Matias D. Cattaneo"'
Publikováno v:
Journal of Statistical Software, Vol 101, Pp 1-25 (2022)
Density estimation and inference methods are widely used in empirical work. When the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their well-know
Externí odkaz:
https://doaj.org/article/4882f9c7312948f0bb175e6963b0d162
Publikováno v:
Journal of Statistical Software, Vol 91, Iss 1, Pp 1-33 (2019)
Nonparametric kernel density and local polynomial regression estimators are very popular in statistics, economics, and many other disciplines. They are routinely employed in applied work, either as part of the main empirical analysis or as a prelimin
Externí odkaz:
https://doaj.org/article/8a523163c66b49038d15562cf0f8ead9
The Regression Discontinuity (RD) design is one of the most popular and credible research designs for program evaluation and causal inference. This volume 38 of Advances in Econometrics collects twelve innovative and thought-provoking contributions t
Publikováno v:
Handbook of Matching and Weighting Adjustments for Causal Inference ISBN: 9781003102670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca8319f8d253eb066cb7cfd5332355e
https://doi.org/10.1201/9781003102670-8
https://doi.org/10.1201/9781003102670-8
Autor:
Matias D. Cattaneo
Publikováno v:
Proceedings of the 4th International Conference on Statistics: Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da76766870c1c931e13f71c23698deab
https://doi.org/10.11159/icsta22.005
https://doi.org/10.11159/icsta22.005
Autor:
Alberto Abadie, Matias D. Cattaneo
Publikováno v:
Journal of the American Statistical Association. 116:1713-1715
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8beddb3959e5fb53546cf8202824f5b8
https://doi.org/10.1080/01621459.2021.2002600
https://doi.org/10.1080/01621459.2021.2002600
Publikováno v:
The Stata Journal: Promoting communications on statistics and Stata. 20:866-891
In this article, we introduce the Stata (and R) package rdmulti, which consists of three commands (rdmc, rdmcplot, rdms) for analyzing regression-discontinuity (RD) designs with multiple cutoffs or multiple scores. The command rdmc applies to noncumu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa8e69af61df12e4bbe2c4071df1738b
https://doi.org/10.1177/1536867x20976320
https://doi.org/10.1177/1536867x20976320
Publikováno v:
Journal of Political Economy, vol 128, iss 7
JOURNAL OF POLITICAL ECONOMY, vol 128, iss 7
JOURNAL OF POLITICAL ECONOMY, vol 128, iss 7
This paper illustrates how one can deduce preference from observed choices when attention is not only limited but also random. In contrast to earlier approaches, we introduce a Random Attention Model (RAM) where we abstain from any particular attenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e7607bc910ed45819bb64974c9ae8a9
https://doi.org/10.1086/706861
https://doi.org/10.1086/706861
Publikováno v:
The Review of Economics and Statistics. 102:531-551
Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies. Despite its popularity, little attention has been paid to the statistical properties of the procedure. We develop a gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a7e8a6709c4de28705df6d40edf7330
https://doi.org/10.1162/rest_a_00883
https://doi.org/10.1162/rest_a_00883
Publikováno v:
The Econometrics Journal. 23:192-210
Summary Modern empirical work in regression discontinuity (RD) designs often employs local polynomial estimation and inference with a mean square error (MSE) optimal bandwidth choice. This bandwidth yields an MSE-optimal RD treatment effect estimator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1432629a4e0e79dcce931d84010388a
https://doi.org/10.1093/ectj/utz022
https://doi.org/10.1093/ectj/utz022