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  • Search: subject:"Penalized regression spline"
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Year of publication
Subject
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penalized regression spline 5 Estimation 4 Regression analysis 4 Regressionsanalyse 4 Schätzung 4 simultaneous estimation 4 Estimation theory 3 Multivariate Verteilung 3 Multivariate distribution 3 Rand experiment 3 Schätztheorie 3 Tweedie distribution 3 copula 3 health expenditures 3 Gesundheitskosten 2 Health care costs 2 Mental disorder 2 Nichtparametrisches Verfahren 2 Non-random sample selection 2 Nonparametric statistics 2 Penalized regression spline 2 Psychische Krankheit 2 binary response 2 co-payment 2 Binary response 1 Copula 1 Endogeneity 1 Forecasting model 1 Gesundheitsökonomik 1 Health economics 1 Insolvency 1 Insolvenz 1 KMU 1 Lagrange multiplier test 1 Markov chain 1 Markov-Kette 1 Prognoseverfahren 1 SME 1 Selection bias 1 Simultaneous equation system 1
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Online availability
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Free 4 Undetermined 3
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 5 Undetermined 2
Author
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Marra, Giampiero 7 Radice, Rosalba 6 Fasiolo, Matteo 3 Winkelmann, Rainer 3 Calabrese, Raffaella 1 Missiroli, Silvia 1 Osmetti, Silvia Angela 1 Zimmer, David 1
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Published in...
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Computational Statistics 1 Computational Statistics & Data Analysis 1 Econometric reviews 1 Health economics 1 Journal of the Operational Research Society : OR 1 Working Paper 1 Working paper series / University of Zurich, Department of Economics 1
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Source
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ECONIS (ZBW) 4 RePEc 2 EconStor 1
Showing 1 - 7 of 7
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A unifying switching regime regression framework with applications in health economics
Marra, Giampiero; Radice, Rosalba; Zimmer, David - In: Econometric reviews 43 (2024) 1, pp. 52-70
Persistent link: https://www.econbiz.de/10014486391
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A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health
Marra, Giampiero; Fasiolo, Matteo; Radice, Rosalba; … - In: Health economics 32 (2023) 6, pp. 1305-1322
Persistent link: https://www.econbiz.de/10014278046
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A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health
Marra, Giampiero; Fasiolo, Matteo; Radice, Rosalba; … - 2022
Previous evidence shows that better insurance coverage increases medical expenditure. However, formal studies on the effect of spending on health outcomes, and especially mental health, are lacking. To fill this gap, we reanalyze data from the Rand Health Insurance Experiment and estimate a...
Persistent link: https://www.econbiz.de/10013262907
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A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health
Marra, Giampiero; Fasiolo, Matteo; Radice, Rosalba; … - 2022
Previous evidence shows that better insurance coverage increases medical expenditure. However, formal studies on the effect of spending on health outcomes, and especially mental health, are lacking. To fill this gap, we reanalyze data from the Rand Health Insurance Experiment and estimate a...
Persistent link: https://www.econbiz.de/10013256650
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Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model
Calabrese, Raffaella; Marra, Giampiero; Osmetti, Silvia … - In: Journal of the Operational Research Society : OR 67 (2016) 4, pp. 604-615
Persistent link: https://www.econbiz.de/10011516598
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Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models
Marra, Giampiero; Radice, Rosalba; Missiroli, Silvia - In: Computational Statistics 29 (2014) 3, pp. 715-741
Lagrange multiplier and Wald tests for the hypothesis of absence of unobserved confounding are extended to the context of semiparametric recursive and sample selection bivariate probit models. The finite sample size properties of the tests are examined through a Monte Carlo study using several...
Persistent link: https://www.econbiz.de/10010794856
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Estimation of a regression spline sample selection model
Marra, Giampiero; Radice, Rosalba - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 158-173
It is often the case that an outcome of interest is observed for a restricted non-randomly selected sample of the population. In such a situation, standard statistical analysis yields biased results. This issue can be addressed using sample selection models which are based on the estimation of...
Persistent link: https://www.econbiz.de/10010617231
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