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Sequential regression : a neodescriptive approach to multicollinearity
Fickel, Norman - 2001
Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on …
Persistent link: https://www.econbiz.de/10011511033
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Evaluating Specification Search in Cross-Country Growth Regressions : Extreme Bounds vs. General-to-Specific Methodologies
Hoover, Kevin D.; Perez, Stephen J. - 2008
This paper is a substantially revised version of our earlier working paper, "Truth and Robustness in Cross-country Growth Regressions." The most important revisions concern the handling of missing observations in the cross-country data set. In the earlier paper, these had been handled through...
Persistent link: https://www.econbiz.de/10014124932
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Truth and Robustness in Cross-Country Growth Regressions
Hoover, Kevin D.; Perez, Stephen J. - 2008
The work of Levine and Renelt (1992) and Sala-i-Martin (1997a, b) which attempted to test the robustness of various determinants of growth rates of per capita GDP among countries using two variants of Edward Leamer's extreme-bounds analysis is reexamined. In a realistic Monte Carlo experiment in...
Persistent link: https://www.econbiz.de/10014136816
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Indirect estimation of linear models with ordinal regressors : a Monte Carlo study and some empirical illustrations
Kukuk, Martin - 1998
This paper investigates the effects of ordinal regressors in linear regression models. Each ordered categorical …
Persistent link: https://www.econbiz.de/10010457738
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The MARS algorithm in the spatial framework : non-linearities and spatial effects in hedonic models
López, Fernando A.; Cholodilin, Konstantin Arkadʹevič - 2020
Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the … selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous … incorporate the correct spatial spillover terms in spatial regression models simultaneously including at same time non …
Persistent link: https://www.econbiz.de/10012146937
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The origins of logistic regression
Cramer, Jan S. - 2002
This paper describes the origins of the logistic function, its adoption in bio-assay, and its wider acceptance in statistics. Its roots spread far back to the early 19th century; the survival of the term logistic and the wide application of the device have been determined decisively by the...
Persistent link: https://www.econbiz.de/10011327828
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Returns to education and wage equations
Pereira, Pedro Telhado; Martins, Pedro S. - 2001
We show why considering a number of education-dependent covariates in the wage equation decreases coefficient of education in the wage equation. We use a meta-analysis of results for Portugal to show, empirically, that this is the case. The coefficient decreases when we use covariates that can...
Persistent link: https://www.econbiz.de/10011401392
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Estimation in Functional Regression for General Exponential Families
Dou, Winston - 2020
This paper studies a class of exponential family models whose canonical parameters are specified as linear functionals of an unknown infinite-dimensional slope function. The optimal minimax rates of convergence for slope function estimation are established. The estimators that achieve the...
Persistent link: https://www.econbiz.de/10012857026
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Supplement to 'Estimation in Functional Regression for General Exponential Families'
Dou, Winston - 2020
In this supplemental article, we introduce some useful results in spectral theory and perturbation theory. Some of the results are well-established. We briefly review them for the purpose of easy reference. We derive a novel bound for the perturbation of eigenprojections, which plays a key role...
Persistent link: https://www.econbiz.de/10012822551
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Evaluating Performance of Regression Machine Learning Models Using Multiple Error Metrics in Azure Machine Learning Studio
Botchkarev, Alexei - 2018
Data driven companies effectively use regression machine learning methods for making predictions in many sectors. Cloud … limitations, e.g. small number of performance metrics and lack of functionality to evaluate custom built regression models with R … evaluation of the regression models. EEM offers 4 times more metrics than built-in Azure Evaluate Model module. EEM metrics …
Persistent link: https://www.econbiz.de/10012919484