Detecting misspecification in the random-effects structure of cumulative logit models

2015 ◽  
Vol 92 ◽  
pp. 126-133 ◽  
Author(s):  
Kuo-Chin Lin ◽  
Yi-Ju Chen
Keyword(s):  
Random Effects ◽  
Logit Models ◽  
Cumulative Logit

Condom Use and HIV/AIDS Among Young People in Edo State, Nigeria

2020 ◽  
pp. 0044118X2098138
Author(s):  
Eric Y. Tenkorang
Keyword(s):  
Young People ◽  
Condom Use ◽  
Random Effects ◽  
Rural Youth ◽  
Sexually Active ◽  
Logit Models ◽  
Junior Secondary Schools ◽  
Junior Secondary ◽  
Edo State ◽  
Gender Specific

This study used the Information Motivation Behavioral (IMB) skills model to examine condom use among rural youth in Edo State, Nigeria. Data were collected from 4,801 youth aged 11 to 17 years attending Junior Secondary Schools. Analysis focused on 1,749 (Male = 1,134, Female = 615) sexually active youth. Random-effects ordinal logit models were used to examine the effects of the various components of the IMB framework on frequency of condom use. Gender-specific models were estimated. Results provided qualified support for the IMB. Specifically, youth who communicated with teachers and peers about condoms and HIV had higher odds of saying they used condoms always than sometimes or never. Compared to males who did not think they could get HIV, those who thought they probably could get infected were less likely to use condoms frequently. Similarly, compared to those who didn’t, females who knew others infected with HIV were less likely to use condoms frequently.

The strength of the board on sustainability assurance decisions

2017 ◽  
Vol 24 (4) ◽  
pp. 863-886 ◽  
Author(s):  
Jennifer Martinez-Ferrero ◽  
Lázaro Rodríguez-Ariza ◽  
Isabel María García-Sánchez
Keyword(s):  
Random Effects ◽  
Design Methodology ◽  
Family Firms ◽  
Positive Impact ◽  
Family Businesses ◽  
Family Ownership ◽  
Logit Models ◽  
Board Size ◽  
Content Type ◽  
Sustainability Reports

Purpose The purpose of this paper is to analyze how family ownership influences the strength of the board’s monitoring function in companies’ decisions regarding the assurance of sustainability reports. Design/methodology/approach The international sample consists of 536 companies operating in more stakeholder-oriented countries during the period 2007-2014. The paper proposes alternative logit models of analysis using the random-effects estimator. Findings The results provide evidence that a firm’s sustainability assurance and its choice of accounting professionals as higher quality assurers are positively associated with board size and independence. The main result is the positive impact of family businesses on these assurance issues. The paper evidences the greater orientation toward sustainability issues of family businesses. Furthermore, it verifies the greater impact of board size on family firms’ assurance demand. Originality/value This study sheds some light on the unexplored topic of sustainability assurance in family firms. One of the differentiating aspects with respect to previous studies is the consideration of the moderating factor of family property. This study also contributes to the understanding of family firms’ demand for assurance and its practitioners, and the literature’s focus on its determinants.

Bayesian Approaches to Assessing the Parallel Lines Assumption in Cumulative Ordered Logit Models

2019 ◽  
pp. 004912411988246
Author(s):  
Jun Xu ◽  
Shawn G. Bauldry ◽  
Andrew S. Fullerton
Keyword(s):  
Health Research ◽  
Logit Model ◽  
Logit Models ◽  
Ordered Logit ◽  
Bayesian Approaches ◽  
Parallel Lines ◽  
Cumulative Logit Model ◽  
Cumulative Logit ◽  
Modeling Techniques ◽  
Null Values

We first review existing literature on cumulative logit models along with various ways to test the parallel lines assumption. Building on the traditional frequentist framework, we introduce a method of Bayesian assessment of null values to provide an alternative way to examine the parallel lines assumption using highest density intervals and regions of practical equivalence. Second, we propose a new hyperparameter cumulative logit model that can improve upon existing ones in addressing several challenges where traditional modeling techniques fail. We use two empirical examples from health research to showcase the Bayesian approaches.

Investigating Heterogeneity in Brand Preferences in Logit Models for Panel Data

1991 ◽  
Vol 28 (4) ◽  
pp. 417-428 ◽  
Author(s):  
Pradeep K. Chintagunta ◽  
Dipak C. Jain ◽  
Naufel J. Vilcassim
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Brand Choice ◽  
Marketing Mix ◽  
Statistical Test ◽  
Model Parameters ◽  
Logit Models ◽  
Holdout Sample ◽  
Brand Preferences

In analyzing panel data, the issue of heterogeneity across households is an important consideration. If heterogeneity is present but is ignored in the analysis, it will result in biased and inconsistent estimates of the effects of marketing mix variables on brand choice. The authors propose the use of a random effects specification to account for heterogeneity in brand preferences across households in a logit framework. The model parameters are estimated by both parametric and semiparametric approaches. The authors also compare their results with those obtained from logit models in which observed past choice behavioir is used to capture such heterogeneity. The different models are estimated with the IRI saltine crackers dataset. A formal statistical test of the model specifications shows that the semiparametric specification is the most preferred in terms of the overall fit of the model to the data. In addition, that specification predicts best when the models are validated in a holdout sample of households.

scholarly journals Preterm Birth: Analysis of Longitudinal Data on Siblings Based on Random-Effects Logit Models

2016 ◽  
Vol 4 ◽  
Author(s):  
Silvia Bacci ◽  
Francesco Bartolucci ◽  
Liliana Minelli ◽  
Manuela Chiavarini
Keyword(s):  
Preterm Birth ◽  
Longitudinal Data ◽  
Random Effects ◽  
Logit Models

Cumulative logit models for ordinal data: a case study involving allergic rhinitis severity scores

2001 ◽  
Vol 20 (15) ◽  
pp. 2261-2285 ◽  
Author(s):  
David J. Lunn ◽  
Jon Wakefield ◽  
Amy Racine-Poon
Keyword(s):  
Allergic Rhinitis ◽  
Ordinal Data ◽  
Logit Models ◽  
Severity Scores ◽  
Cumulative Logit
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