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Marcel G. Dagenais

Researcher at Université de Montréal

Publications -  82
Citations -  1926

Marcel G. Dagenais is an academic researcher from Université de Montréal. The author has contributed to research in topics: Regression analysis & Autoregressive model. The author has an hindex of 23, co-authored 82 publications receiving 1874 citations. Previous affiliations of Marcel G. Dagenais include Maastricht University.

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The dogit model

TL;DR: The dogit model as discussed by the authors allows the choice among specific pairs of alternatives to be consistent with the independence from irrelevant alternatives axiom, as in a logit model, but it simultaneously allows the choices among other pairs not to be.
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Higher moment estimators for linear regression models with errors in the variables

TL;DR: This article proposed consistent instrumental variable estimators for linear regression models with errors in the variables that require no extraneous information, which are based on sample moments of order higher than two and demonstrate that these estimators perform better than ordinary least squares estimators in terms of root mean squared errors and also in terms size of type I errors of standard tests in many typical situations of economic analyses.
Posted Content

Innovativity: A comparison across seven European countries

TL;DR: In this article, the authors proposed a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity, illustrated using micro-aggregated firm data from the first Community Innovation Surveys (CIS1) for seven European countries: Belgium, Denmark, Ireland, Germany, the Netherlands, Norway and Italy for the year 1992.
ReportDOI

Innovativity: A comparison across seven European countries

TL;DR: In this article, the authors proposed a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity, illustrated using micro-aggregated firm data from the first Community Innovation Surveys (CIS1) for seven European countries: Belgium, Denmark, Ireland, Germany, the Netherlands, Norway and Italy for the year 1992.
Posted Content

Dropout, School Performance and Working while in School : An Econometric Model with Heterogeneous Groups

TL;DR: This paper developed an econometric model where the determinants of work while in school, dropout and academic grades are set in the context of two types of high school students: those who favor schooling and those who are more inclined to access rapidly the labor market.