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Journal articles on the topic 'Conditional Multinomial Logit'

Author: Grafiati

Published: 14 March 2023

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1

LIPOVETSKY, STAN. "CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS." Advances in Adaptive Data Analysis 03, no. 03 (2011): 309–24. http://dx.doi.org/10.1142/s1793536911000738.

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For a categorical variable with several outcomes, its dependence on the predictors is usually considered in the conditional or multinomial logit models. This work considers elasticity features of the binary and categorical logits and introduces the coefficients individual by observations. The paper shows that by a special rearrangement of data the more complicated conditional and multinomial models can be reduced to binary logistic regression. It suggests the usage of any software widely available for logit modeling to facilitate constructing for complex conditional and multinomial regressions

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Schaak, Henning, and Oliver Mußhoff. "Public Preferences for Pasture Landscapes and the Role of Scale Heterogeneity." German Journal of Agricultural Economics 70, no. 3 (2021): 182–91. http://dx.doi.org/10.30430/70.2021.3.182-191.

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The paper investigates the influence of different model specifications for interpreting the results of discrete choice experiments when investigating heterogeneous public landscape preferences. Comparing model specifications based on the Mixed Multinomial Logit and the Generalized Multinomial Logit Model reveals that the parameter estimates appear qualitatively comparable. Still, a more in-depth investigation of the conditional estimate distributions of the sample show that parameter interactions in the Generalized Multinomial Logit Model lead to different interpretations compared to the Mixed

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Hoffman, Saul D., and Greg J. Duncan. "Multinomial and Conditional Logit Discrete-Choice Models in Demography." Demography 25, no. 3 (1988): 415. http://dx.doi.org/10.2307/2061541.

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Jarvis, Benjamin F. "Estimating Multinomial Logit Models with Samples of Alternatives." Sociological Methodology 49, no. 1 (2018): 341–48. http://dx.doi.org/10.1177/0081175018793460.

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This comment reconsiders advice offered by Bruch and Mare regarding sampling choice sets in conditional logistic regression models of residential mobility. Contradicting Bruch and Mare’s advice, past econometric research shows that no statistical correction is needed when using simple random sampling of unchosen alternatives to pare down respondents’ choice sets. Using data on stated residential preferences contained in the Los Angeles portion of the Multi-City Study of Urban Inequality, it is shown that following Bruch and Mare’s advice—to implement a statistical correction for simple random

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Cook, Scott J., John Niehaus, and Samantha Zuhlke. "A warning on separation in multinomial logistic models." Research & Politics 5, no. 2 (2018): 205316801876951. http://dx.doi.org/10.1177/2053168018769510.

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Oppenheim et al. (2015) provides the first empirical analysis of insurgent defection during armed rebellion, estimating a series of multinomial logit models of continued rebel participation using a survey of ex-combatants in Colombia. Unfortunately, many of the main results from this analysis are an artifact of separation in these data – that is, one or more of the covariates perfectly predicts the outcome. We demonstrate that this can be identified using simple cross tabulations. Furthermore, we show that Oppenheim et al.’s (2015) results are not supported when separation is explicitly accoun

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Hudson, Darren, R. Karina Gallardo, and Terrill R. Hanson. "A Comparison of Choice Experiments and Actual Grocery Store Behavior: An Empirical Application to Seafood Products." Journal of Agricultural and Applied Economics 44, no. 1 (2012): 49–62. http://dx.doi.org/10.1017/s107407080000016x.

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In this paper we compare results from an in-store field experiment and a mail survey choice experiment (CE) to investigate CE's capacity in predicting grocery store market share. For the comparison, we used three seafood products: freshwater prawns, marine shrimp, and lobster. CE estimates were obtained via four econometric models: the conditional logit, the random parameter logit, the heteroskedastic extreme value, and the multinomial probit. We found that the level of control in the grocery store experiment and the choice of econometric model influenced the capacity of CE to predict grocery

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Cong, Li, and Jeffrey S. Racine. "A SMOOTH NONPARAMETRIC CONDITIONAL DENSITY TEST FOR CATEGORICAL RESPONSES." Econometric Theory 29, no. 3 (2012): 629–41. http://dx.doi.org/10.1017/s0266466612000382.

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We propose a consistent kernel-based specification test for conditional density models when the dependent variable is categorical/discrete. The method is applicable to popular parametric binary choice models such as the logit and probit specification and their multinomial and ordered counterparts, along with parametric count models, among others. The test is valid when the conditional density function contains both categorical and real-valued covariates. Theoretical support for the test and for a bootstrap-based version of the test is provided. Monte Carlo simulations are conducted to assess t

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Bradley, Jonathan R., Christopher K. Wikle, and Scott H. Holan. "Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution." Journal of Time Series Analysis 40, no. 3 (2019): 363–82. http://dx.doi.org/10.1111/jtsa.12468.

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Norets, Andriy, and Debdeep Pati. "ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIES." Econometric Theory 33, no. 4 (2016): 980–1012. http://dx.doi.org/10.1017/s0266466616000220.

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We consider a nonparametric Bayesian model for conditional densities. The model is a finite mixture of normal distributions with covariate dependent multinomial logit mixing probabilities. A prior for the number of mixture components is specified on positive integers. The marginal distribution of covariates is not modeled. We study asymptotic frequentist behavior of the posterior in this model. Specifically, we show that when the true conditional density has a certain smoothness level, then the posterior contraction rate around the truth is equal up to a log factor to the frequentist minimax r

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Guimarães, Paulo, and Richard C. Lindrooth. "Controlling for overdispersion in grouped conditional logit models: A computationally simple application of Dirichlet‐multinomial regression." Econometrics Journal 10, no. 2 (2007): 439–52. http://dx.doi.org/10.1111/j.1368-423x.2007.00215.x.

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Glasgow, Garrett, and Sona N. Golder. "A New Approach to the Study of Parties Entering Government." British Journal of Political Science 45, no. 4 (2014): 739–54. http://dx.doi.org/10.1017/s0007123414000015.

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Previous studies of the factors that influence the ability of parties to join governments have estimated binary choice models using the parties as the unit of analysis, which inappropriately treats each party in a government formation opportunity as an independent observation (a problem that clustered standard errors do not solve) and does not allow researchers to control for important coalition-level effects. This article demonstrates that a preferred methodological approach is to first estimate a standard multinomial choice model (conditional logit or mixed logit) of coalition formation, usi

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McElroy, Gail, and Kenneth Benoit. "Party Policy and Group Affiliation in the European Parliament." British Journal of Political Science 40, no. 2 (2010): 377–98. http://dx.doi.org/10.1017/s0007123409990469.

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Systematic empirical research has yet to explain how national parties join political groups in the European Parliament. This article first demonstrates, using original empirical measures from expert surveys of party positions, that EP party groups consist of national parties sharing similar policy positions. Secondly, using Bayesian/MCMC methods, the paper estimates the policy determinants of group affiliation using a (conditional) multinomial logit model to explain that ‘party group’ choice is largely driven by policy congruence. Finally, predictions from the model identify national parties n

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Gensch, Dennis H., and Sanjoy Ghose. "Elimination by Dimensions." Journal of Marketing Research 29, no. 4 (1992): 417–29. http://dx.doi.org/10.1177/002224379202900403.

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The well-known PRETREE model, though rich in behavioral structural theory, is virtually unused by marketing practitioners. Four problem areas relating to the application of PRETREE are identified. The authors then develop the “elimination-by-dimensions” (EBD) model to address these problems. A key feature of the EBD model is the recognition that most real-life marketing attributes are continuous dimensions, not aspects. The EBD model provides diagnostic information by labeling the specific dimensions consumers use to eliminate alternatives hierarchically. A procedure for naming the key dimensi

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Ouattara, N’Banan, Xueping Xiong, Moussa Bakayoko, Trazié Bertrand Athanase Youan Bi, Dessalegn Anshiso Sedebo, and Zié Ballo. "What Influences Rice Farmers’ Choices of Credit Sources in Côte d’Ivoire? An Econometric Analysis using the Multinomial Conditional Logit Model." Progress in Development Studies 22, no. 2 (2022): 149–73. http://dx.doi.org/10.1177/14649934211066453.

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In Côte d’Ivoire, the low participation of smallholder farmers in the credit market remains a matter of concern. This study examines the key determinants of rice farmers’ participation in the credit market. We use a Multinomial Conditional Logit model to consider the characteristics related to the use of different credit sources. A total of 588 rice farmers were randomly sampled from seven rice areas. Our findings reveal that gender, age, education level, experience in rice farming, rice plot size, lowland rice farming, extension contact, membership of a farmer-based organization, marketing of

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WAHLBECK, PAUL J., JAMES F. SPRIGGS, and FORREST MALTZMAN. "The Politics of Dissents and Concurrences on the U.S. Supreme Court." American Politics Quarterly 27, no. 4 (1999): 488–514. http://dx.doi.org/10.1177/1532673x99027004006.

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Why do justices author or join separate opinions? Most attempts to address the dynamics of concurrence and dissent focus on aggregate patterns across time or courts. In contrast, we explain why an individual justice chooses to author or join a separate opinion. We argue that separate opinions result from justices' pursuit of their policy preferences within both strategic and institutional constraints. Using data from the Burger Court (1969 to 1985 terms), we estimate a multinomial logit model to test the influence of these factors on justices' decisions to join or author a regular concurrence,

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Dobra, Rebecca Anne, Marco Boeri, Stuart Elborn, Frank Kee, Susan Madge, and Jane C. Davies. "Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials." BMJ Open 11, no. 3 (2021): e045803. http://dx.doi.org/10.1136/bmjopen-2020-045803.

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IntroductionEngaging people with cystic fibrosis (CF) in clinical trials is critical to improving outcomes for this fatal disease. Following extensive exploration of engagement in CF trials we believe six key concepts require a quantitative understanding of their influence in the current CF trials landscape including how controversial issues like placebos, washouts, stipend provision and location of trial visits are viewed by the CF community and how these might be modified depending on the type of medicine being investigated and the mechanism of access to the drug on trial completion.Methods

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Jørgensen, O. A., C. Hvingel, P. R. Møller, and M. A. Treble. "Identification and mapping of bottom fish assemblages in Davis Strait and southern Baffin Bay." Canadian Journal of Fisheries and Aquatic Sciences 62, no. 8 (2005): 1833–52. http://dx.doi.org/10.1139/f05-101.

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The bathymetry of Baffin Bay, with shallow sills both to the north and south, creates a relatively isolated body of deep polar water, unique among the Arctic Seas. During 263 trawl hauls completed during October 1999 and September to November 2001, 116 fish species were collected in Davis Strait and the southern Baffin Bay (61°44.1′ N73°52.8′ N, depths of 1451484 m). The abundance data for the 80 benthic species were used for analyses of the fish fauna diversity and fish assemblages. As a first step, seven assemblages were found by a standard type of cluster analysis. A Bayesian multinomial

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Yamaguchi, Kazuo. "Multigroup Segregation Analyses with Covariates." Sociological Methodology 51, no. 2 (2021): 224–52. http://dx.doi.org/10.1177/0081175020981120.

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The author introduces methods for the decomposition analysis of multigroup segregation measured by the index of dissimilarity, the squared coefficient of variation, and Theil’s entropy measure. Using a new causal framework, the author takes a unified approach to the decomposition analysis by specifying conditions that must be satisfied to decompose segregation into unexplained and explained components. Here, the unexplained component represents the direct effects of the group variable on the conditional probability of acquiring a social position—such as a residential district in an analysis of

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Shao, Jingyu, Ruipeng Dong, and Zemin Zheng. "Sparse assortment personalization in high dimensions." JUSTC 52, no. 3 (2022): 5. http://dx.doi.org/10.52396/justc-2021-0214.

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The data-driven conditional multinomial logit choice model with customer features performs well in the assortment personalization problem when the low-rank structure of the parameter matrix is considered. However, despite recent theoretical and algorithmic advances, parameter estimation in the choice model still poses a challenging task, especially when there are more predictors than observations. For this reason, we suggest a penalized likelihood approach based on a feature matrix to recover the sparse structure from populations and products toward the assortment. Our proposed method consider

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Antonio, Anna Liza M., Robert E. Weiss, Christopher S. Saigal, Ely Dahan, and Catherine M. Crespi. "A Bayesian hierarchical model for discrete choice data in health care." Statistical Methods in Medical Research 27, no. 12 (2017): 3544–59. http://dx.doi.org/10.1177/0962280217704226.

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In discrete choice experiments, patients are presented with sets of health states described by various attributes and asked to make choices from among them. Discrete choice experiments allow health care researchers to study the preferences of individual patients by eliciting trade-offs between different aspects of health-related quality of life. However, many discrete choice experiments yield data with incomplete ranking information and sparsity due to the limited number of choice sets presented to each patient, making it challenging to estimate patient preferences. Moreover, methods to identi

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Ngangbam, Sapana, and Archana K. Roy. "Determinants of Health-seeking Behaviour in Northeast India." Journal of Health Management 21, no. 2 (2019): 234–57. http://dx.doi.org/10.1177/0972063419835118.

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India’s northeast region comprises eight states, which, together, is home to 3.8 per cent of the country’s population. The quality of healthcare and manpower availability remains a cause for concern in the region, affecting the overall health-seeking behaviour of the people. This study attempts to understand the determinants of utilization of healthcare services in Northeast India. Healthcare and morbidity data for this study are based on a Northeast India sample from the National Sample Survey Organization’s (NSSO’s) health consumption data (2014). Probit, multinomial and mixed conditional lo

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Oluoch-Aridi, Jackline, Mary B. Adam, Francis Wafula, and Gilbert Kokwaro. "Understanding what women want: eliciting preference for delivery health facility in a rural subcounty in Kenya, a discrete choice experiment." BMJ Open 10, no. 12 (2020): e038865. http://dx.doi.org/10.1136/bmjopen-2020-038865.

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ObjectiveTo identify what women want in a delivery health facility and how they rank the attributes that influence the choice of a place of delivery.DesignA discrete choice experiment (DCE) was conducted to elicit rural women’s preferences for choice of delivery health facility. Data were analysed using a conditional logit model to evaluate the relative importance of the selected attributes. A mixed multinomial model evaluated how interactions with sociodemographic variables influence the choice of the selected attributes.SettingSix health facilities in a rural subcounty.ParticipantsWomen aged

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Elewonibi, Bilikisu, Ryoko Sato, Rachel Manongi, Sia Msuya, Iqbal Shah, and David Canning. "The distance-quality trade-off in women’s choice of family planning provider in North Eastern Tanzania." BMJ Global Health 5, no. 2 (2020): e002149. http://dx.doi.org/10.1136/bmjgh-2019-002149.

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IntroductionStudies on the determinants of contraceptive use often consider distance to the nearest health facility offering contraception as a key explanatory variable. Women, however, may not seek contraception from the nearest facility, rather opting for a more distant facility with better quality services or to ensure greater privacy and anonymity.MethodsThe dataset used include the name of facility where each women obtained contraception, measures of facility quality, and the distance between each woman’s home and 39 potential facilities she might visit. We use a conditional-multinomial l

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Fuertes, Alberto, and Jose María Serena. "How firms borrow in international bond markets." Journal of Financial Regulation and Compliance 26, no. 1 (2018): 135–69. http://dx.doi.org/10.1108/jfrc-11-2016-0100.

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Purpose This paper aims to investigate how firms from emerging economies choose among different international bond markets: global, US144A and Eurobond markets. The authors explore if the ranking in regulatory stringency –global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – leads to a segmentation of borrowers. Design/methodology/approach The authors use a novel data set from emerging economy firms, treating them as consolidated entities. The authors also obtain descriptive evidence and perform univariate non-parametric analyses, conditional and mu

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Agarwal, Smisha, Udochisom Anaba, Timothy Abuya, et al. "Understanding incentive preferences of community health workers using discrete choice experiments: a multicountry protocol for Kenya, Uganda, Bangladesh and Haiti." BMJ Open 9, no. 12 (2019): e033601. http://dx.doi.org/10.1136/bmjopen-2019-033601.

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IntroductionThere is a renewed global interest in improving community health worker (CHW) programmes. For CHW programmes to be effective, key intervention design factors which contribute to the performance of CHWs need to be identified. The recent WHO guidelines recommends the combination of financial and non-financial incentives to improve CHW performance. However, evidence gaps remain as to what package of incentives will improve their performance in different country contexts. This study aims to evaluate CHW incentive preferences to improve performance and retention which will strengthen CH

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Oedingen, Carina, Tim Bartling, and Christian Krauth. "Public, medical professionals’ and patients’ preferences for the allocation of donor organs for transplantation: study protocol for discrete choice experiments." BMJ Open 8, no. 10 (2018): e026040. http://dx.doi.org/10.1136/bmjopen-2018-026040.

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IntroductionOrgan transplantation is the treatment of choice for patients with severe organ failure. Nevertheless, donor organs are a scarce resource resulting in a large mismatch between supply and demand. Therefore, priority-setting leads to the dilemma of how these scarce organs should be allocated and who should be considered eligible to receive a suitable organ. In order to improve the supply–demand mismatch in transplantation medicine, this study explores preferences of different stakeholders (general public, medical professionals and patients) for the allocation of donor organs for tran

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Nittas, Vasileios, Margot Mütsch, and Milo Alan Puhan. "Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study." JMIR Research Protocols 9, no. 2 (2020): e16087. http://dx.doi.org/10.2196/16087.

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Background The incidence of sun-exposure-related skin conditions, such as melanoma, is a gradually increasing and largely preventable public health problem. Simultaneously, the availability of mobile apps that enable the self-monitoring of health behavior and outcomes is ever increasing. Inevitably, recent years have seen an emerging volume of electronic patient-generated health data (PGHD), as well as their targeted application across primary prevention areas, including sun protection and skin health. Despite their preventive potential, the actual impact of these apps relies on the engagement

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Goeken, Nils, Peter Kurz, and Winfried Steiner. "Hierarchical Bayes Conjoint Choice Models - Model Framework, Bayesian Inference, Model Selection, and Interpretation of Estimation Results." Marketing ZFP 43, no. 3 (2021): 49–66. http://dx.doi.org/10.15358/0344-1369-2021-3-49.

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Choice-based conjoint (CBC) is nowadays the most widely used variant of conjoint analysis, a class of methods for measuring consumer preferences. The primary reason for the increasing dominance of the CBC approach over the last 35 years is that it closely mimics real choice behavior of consumers by asking respondents repeatedly to choose their preferred alternative from a set of several offered alternatives (choice sets). Within the framework of CBC analysis, the multinomial logit (MNL) model is the most frequently used discrete choice model due to the existence of closed form solutions for co

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Falcó-Gimeno, Albert. "The political geography of government formation: Why regional parties join coalitions." Party Politics 26, no. 2 (2018): 91–106. http://dx.doi.org/10.1177/1354068817750865.

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Political parties differ in the geographic distribution of their support. This article argues that a regionalized distribution of a party’s votes facilitates its participation in government, because it produces a tendency to prioritize demands for locally targeted goods that are more conducive to the negotiation of reciprocal logrolling agreements with potential partners. Using a measure based on the Gini coefficient, I empirically evaluate the extent to which the geographic concentration of votes plays a role in the formation of governments, taking Spanish local elections from 1987 to 2011 as

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PAN, HEPING, and LIN LIU. "FUZZY BAYESIAN NETWORKS — A GENERAL FORMALISM FOR REPRESENTATION, INFERENCE AND LEARNING WITH HYBRID BAYESIAN NETWORKS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 07 (2000): 941–62. http://dx.doi.org/10.1142/s021800140000060x.

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This paper proposes a general formalism for representation, inference and learning with general hybrid Bayesian networks in which continuous and discrete variables may appear anywhere in a directed acyclic graph. The formalism fuzzifies a hybrid Bayesian network into two alternative forms: the first form replaces each continuous variable in the given directed acyclic graph (DAG) by a partner discrete variable and adds a directed link from the partner discrete variable to the continuous one. The mapping between two variables is not crisp quantization but is approximated (fuzzified) by a conditi

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Khodakarami, Nima, and Khalil Dirani. "Drivers of employee engagement: differences by work area and gender." Industrial and Commercial Training 52, no. 1 (2020): 81–91. http://dx.doi.org/10.1108/ict-06-2019-0060.

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Purpose Previous studies have not integrated the impact of the area of study into the notion of employee engagement. The purpose of this study is to empirically measure the association between employee engagement and the two antecedent factors of perceived organizational support (POS) and employee loyalty across different areas of study. Design/methodology/approach A nationally representative survey of 2,408 adults in the USA collected by the worker representation and participation survey (WRPS) was used. A multinomial logit regression was used to estimate the impact of POS and loyalty across

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Han, Kyung (Chris) Tyek. "Components of the item selection algorithm in computerized adaptive testing." Journal of Educational Evaluation for Health Professions 15 (March 24, 2018): 7. http://dx.doi.org/10.3352/jeehp.2018.15.7.

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Computerized adaptive testing (CAT) greatly improves measurement efficiency in high-stakes testing operations through the selection and administration of test items with the difficulty level that is most relevant to each individual test taker. This paper explains the 3 components of a conventional CAT item selection algorithm: test content balancing, the item selection criterion, and item exposure control. Several noteworthy methodologies underlie each component. The test script method and constrained CAT method are used for test content balancing. Item selection criteria include the maximized

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Lee, Myoung-jae. "Panel conditional and multinomial logit with time-varying parameters." Studies in Nonlinear Dynamics & Econometrics 19, no. 3 (2015). http://dx.doi.org/10.1515/snde-2014-0003.

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AbstractPanel conditional logit estimators (PCLE) in the literature use mostly time-constant parameters. If the panel periods are volatile or long, however, the model parameters can change much. Hence this paper generalizes PCLE with time-constant parameters to PCLE with time-varying parameters; both static and dynamic PCLE are considered for this. The main finding is that time-varying parameters are fully allowed for static PCLE and the dynamic “pseudo” PCLE of [Bartolucci, F. and V. Nigro. 2010. “A Dynamic Model for Binary Panel Data with Unobserved Heterogeneity Admitting a

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Wu, Wangwei, and Ricardo A. Daziano. "On Assignment to Classes in Latent Class Logit Models." Transportation Research Record: Journal of the Transportation Research Board, September 13, 2022, 036119812211212. http://dx.doi.org/10.1177/03611981221121266.

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Random parameter logit models address unobserved preference heterogeneity in discrete choice analysis. The latent class logit model assumes a discrete heterogeneity distribution, by combining a conditional logit model of economic choices with a multinomial logit (MNL) for stochastic assignment to classes. Whereas point estimation of latent class logit models is widely applied in practice, stochastic assignment of individuals to classes needs further analysis. In this paper we analyze the statistical behavior of six competing class assignment strategies, namely: maximum prior MNL probabilities,

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Uzaheta, Alvaro, Viviana Amati, and Christoph Stadtfeld. "Random effects in dynamic network actor models." Network Science, February 6, 2023, 1–18. http://dx.doi.org/10.1017/nws.2022.37.

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Abstract Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome of an actor-oriented decision process consisting of two decision levels. The first level represents the time until an actor initiates the next relational event, modeled by an exponential distribution with an actor-specific activity rate. The second level describes the choice of the receiver of the event, modeled by a conditional multinomial logit model. The DyNAM assumes that the parameters are constant over the actors and the context. This homogeneity assumption, albeit statisti

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Zha, Dao-Shun, Tian-Tian Feng, and Jia-Jie Kong. "Effects of enterprise carbon trading mechanism design on willingness to participate——Evidence from China." Frontiers in Environmental Science 10 (August 24, 2022). http://dx.doi.org/10.3389/fenvs.2022.986862.

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At this stage, the air pollution problem represented by climate warming has become very serious, and it is important to establish a carbon emission trading system as an innovative policy tool to promote energy savings and emission reduction. China’s carbon trading market is currently in its initial stage, and only power generation enterprises are included in the market. When faced with changes in the carbon trading market mechanism, enterprises are often unable to make rapid adjustments, making it difficult to reflect the carbon market’s role in reducing emissions. Current research on the desi

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Zhang, Xuan, Huiying Wen, Toshiyuki Yamamoto, and Qiang Zeng. "Investigating hazardous factors affecting freeway crash injury severity with real-time weather data: Using a Bayesian multinomial logit model with conditional autoregressive priors." Journal of Safety Research, January 2021. http://dx.doi.org/10.1016/j.jsr.2020.12.014.

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Aristei, David, Silvia Bacci, Francesco Bartolucci, and Silvia Pandolfi. "A bivariate finite mixture growth model with selection." Advances in Data Analysis and Classification, December 29, 2020. http://dx.doi.org/10.1007/s11634-020-00433-4.

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AbstractA model is proposed to analyze longitudinal data where two response variables are available, one of which is a binary indicator of selection and the other is continuous and observed only if the first is equal to 1. The model also accounts for individual covariates and may be considered as a bivariate finite mixture growth model as it is based on three submodels: (i) a probit model for the selection variable; (ii) a linear model for the continuous variable; and (iii) a multinomial logit model for the class membership. To suitably address endogeneity, the first two components rely on cor

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Kirui, Leonard K., Nathaniel D. Jensen, Gideon A. Obare, Isaac M. Kariuki, Philemon K. Chelanga, and Munenobu Ikegami. "Pastoral livelihood pathways transitions in northern Kenya: The process and impact of drought." Pastoralism 12, no. 1 (2022). http://dx.doi.org/10.1186/s13570-022-00240-w.

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AbstractRecurrent droughts and long-term changes to climate, social structures, and the economy in the world’s arid and semi-arid lands have impacted pastoralists’ livelihood activities over time, resulting in different livelihood pathways. Some pastoralists continue to follow more traditional strategies of herd accumulation, while others frequently engage in livestock markets and value addition activities, and others still are dropping out of pastoralism. Using data collected over 6 years from 924 households in northern Kenya and applying a generalized structural dynamic multinomial logit mod

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Howard, Kirsten, Kate Anderson, Joan Cunningham, et al. "What Matters 2 Adults: a study protocol to develop a new preference-based wellbeing measure with Aboriginal and Torres Strait Islander adults (WM2Adults)." BMC Public Health 20, no. 1 (2020). http://dx.doi.org/10.1186/s12889-020-09821-z.

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Abstract Background Understandings of health and wellbeing are culturally bound. Many Aboriginal and Torres Strait Islander people perceive wellbeing and quality of life (QOL) differently from the Western biomedical models of health underpinning existing QOL instruments. Any instrument to measure the wellbeing of Aboriginal and Torres Strait Islander people should be culturally appropriate and safe, include relevant dimensions, and be informed by their own values and preferences. Existing QOL instruments do not meet these standards. This study will generate a new preference-based wellbeing mea

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Girotra, Saket, Mary S. Vaughan-Sarrazin, Peter Cram, and Ioana Popescu. "Abstract P153: Factors Influencing Admissions to America's Lowest Performing Hospitals for AMI Care." Circulation: Cardiovascular Quality and Outcomes 4, suppl_1 (2011). http://dx.doi.org/10.1161/circoutcomes.4.suppl_1.ap153.

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Background Research has identified a group of hospitals with consistently poor performance for acute myocardial infarction (AMI) care as compared to other US hospitals. Factors influencing patients' selection of these hospitals are unknown. Methods We used 2004-06 Hospital Compare data to identify hospitals reporting AMI process performance measures. We calculated composite AMI performance scores and classified hospitals as low performing (lowest score decile for all 3 years, n = 100), top performing (top score decile for all 3 years, n = 64) and intermediate (all others, n = 2595). We used 20

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Moreno, Jorge O., Cinthya G. Caamal-Olvera, and Edgar M. Luna. "Mobility and sustainable transportation in higher education: evidence from Monterrey Metropolitan Area in Mexico." International Journal of Sustainability in Higher Education, March 29, 2022. http://dx.doi.org/10.1108/ijshe-07-2021-0276.

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Purpose This paper aims to analyze the demand for mobility in higher education to understand the critical elements of students' mobility and the potential impact of accessing sustainable alternatives. The demand for different means of transportation accounts for socioeconomic variables such as household income and size, gender, age, among other travel factors such as distance, time, speed and direct cost. Design/methodology/approach This research uses a unique data set encompassing a representative sample of households across gender and municipalities in the Monterrey Metropolitan Area in Mexi

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Cole, Katrina, Jason Rydberg, and Michael Cassidy. "Going Off the Grid: Assessing Sentencing Departures for Individuals Convicted of Sexual Offenses." Crime & Delinquency, November 26, 2020, 001112872097745. http://dx.doi.org/10.1177/0011128720977451.

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This research examines factors associated with departures from sentencing guidelines for a sample of individuals convicted of sexual offenses in Pennsylvania between 2004 and 2015 ( N = 26,093). We contribute to the literature on the sentencing of these cases by considering whether the impact of individual and contextual factors is conditioned by the type of sexual offense being sentenced (e.g., assaultive, child pornography, failure to comply with registration). Bayesian multilevel multinomial logit models suggested a number of legal, extralegal, and contextual correlates of departure likelih

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