Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mugnier, Martin"'
Autor:
Mugnier, Martin
This note provides a conceptual clarification of Ronald Aylmer Fisher's (1935) pioneering exact test in the context of the Lady Testing Tea experiment. It unveils a critical implicit assumption in Fisher's calibration: the taster minimizes expected m
Externí odkaz:
http://arxiv.org/abs/2407.07251
Autor:
Mugnier, Martin
This paper introduces a new fixed effects estimator for linear panel data models with clustered time patterns of unobserved heterogeneity. The method avoids non-convex and combinatorial optimization by combining a preliminary consistent estimator of
Externí odkaz:
http://arxiv.org/abs/2203.08879
Autor:
Mugnier, Martin
By exploiting McFadden (1974)'s results on conditional logit estimation, we show that there exists a one-to-one mapping between existence and uniqueness of conditional maximum likelihood estimates of the binary logit model with fixed effects and the
Externí odkaz:
http://arxiv.org/abs/2009.09998
We consider fixed effects binary choice models with a fixed number of periods $T$ and regressors without a large support. If the time-varying unobserved terms are i.i.d. with known distribution $F$, \cite{chamberlain2010} shows that the common slope
Externí odkaz:
http://arxiv.org/abs/2009.08108
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mugnier, Martin
Novel estimators are proposed for linear grouped fixed effects models. Rather than predicting a single grouping of units, they deliver a collection of groupings with the same flavor as the so-called Lasso regularization path. Mild conditions are foun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f55463c7d9b489c14528435406a2d0