Relevant bibliographies by topics / Ordered probit and logit models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Ordered probit and logit models'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Ordered probit and logit models"

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Winship, Christopher. "Logit and Probit: Ordered and Multinomial Models." Journal of the American Statistical Association 98, no. 463 (2003): 775–76. http://dx.doi.org/10.1198/jasa.2003.s301.

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Weiss, Andrew A. "Specification tests in ordered logit and probit models." Econometric Reviews 16, no. 4 (1997): 361–91. http://dx.doi.org/10.1080/07474939708800394.

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Breen, Richard, Kristian Bernt Karlson, and Anders Holm. "Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models." Annual Review of Sociology 44, no. 1 (2018): 39–54. http://dx.doi.org/10.1146/annurev-soc-073117-041429.

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Methods textbooks in sociology and other social sciences routinely recommend the use of the logit or probit model when an outcome variable is binary, an ordered logit or ordered probit when it is ordinal, and a multinomial logit when it has more than two categories. But these methodological guidelines take little or no account of a body of work that, over the past 30 years, has pointed to problematic aspects of these nonlinear probability models and, particularly, to difficulties in interpreting their parameters. In this review, we draw on that literature to explain the problems, show how they
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Bagozzi, Benjamin E., and Bumba Mukherjee. "A Mixture Model for Middle Category Inflation in Ordered Survey Responses." Political Analysis 20, no. 3 (2012): 369–86. http://dx.doi.org/10.1093/pan/mps020.

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Recent research finds that, for social desirability reasons, uninformed individuals disproportionately give “neither agree nor disagree” type responses to survey attitude questions, even when a “do not know” option is available. Such “face-saving” responses inflate the indifference (i.e., middle) categories of ordered attitude variables with nonordered responses. When such inflation occurs within the middle category of one's ordered dependent variable, estimates from ordered probit (and ordered logit) models are likely to be unreliable and inefficient. This article develops a set of mixture mo
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Ye, Fan, and Dominique Lord. "Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models." Analytic Methods in Accident Research 1 (January 2014): 72–85. http://dx.doi.org/10.1016/j.amar.2013.03.001.

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Nair, Gopindra S., Chandra R. Bhat, Ram M. Pendyala, Becky P. Y. Loo, and William H. K. Lam. "On the Use of Probit-Based Models for Ranking Data Analysis." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (2019): 229–40. http://dx.doi.org/10.1177/0361198119838987.

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In consumer surveys, more information per response regarding preferences of alternatives may be obtained if individuals are asked to rank alternatives instead of being asked to select only the most-preferred alternative. However, the latter method continues to be the common method of preference elicitation. This is because of the belief that ranking of alternatives is cognitively burdensome. In addition, the limited research on modeling ranking data has been based on the rank ordered logit (ROL) model. In this paper, we show that a rank ordered probit (ROP) model can better utilize ranking dat
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Li, Yang, and Wei (David) Fan. "Pedestrian Injury Severities in Pedestrian-Vehicle Crashes and the Partial Proportional Odds Logit Model: Accounting for Age Difference." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (2019): 731–46. http://dx.doi.org/10.1177/0361198119842828.

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This study investigates factors that significantly contribute to the severity of pedestrian injuries resulting from pedestrian-vehicle crashes. Multinomial logit (MNL) models, mixed logit (ML) models, and ordered logit/probit models have been widely used in modeling crash injury severity, including pedestrian injury severity in pedestrian-vehicle crashes. However, both MNL and ML models treat injury severity levels as non-ordered, ignoring the inherent hierarchical nature of crash injury severities, and the data used in ordered logit models need to be strictly subjected to the proportional odd
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Mendoza-Arango, Iván Manuel, Eneko Echaniz, Luigi dell’Olio, and Eduardo Gutiérrez-González. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction." Sustainability 12, no. 13 (2020): 5318. http://dx.doi.org/10.3390/su12135318.

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Customer overall satisfaction regarding a public transport system is dependent on the satisfaction of the users with the attributes that make up the service, as well as the contribution that each of these attributes makes to explain the overall satisfaction. A common way of analysing the contribution of service attributes to explain overall satisfaction is through the use of ordered logit or probit models. This article presents an ordered logit model that considers the weighting of independent variables through the explicit importance calculated on the basis of a best-worst case 1 choice task.
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Schunck, Reinhard, and Francisco Perales. "Within- and Between-cluster Effects in Generalized Linear Mixed Models: A Discussion of Approaches and the Xthybrid command." Stata Journal: Promoting communications on statistics and Stata 17, no. 1 (2017): 89–115. http://dx.doi.org/10.1177/1536867x1701700106.

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One typically analyzes clustered data using random- or fixed-effects models. Fixed-effects models allow consistent estimation of the effects of level-one variables, even if there is unobserved heterogeneity at level two. However, these models cannot estimate the effects of level-two variables. Hybrid and correlated random-effects models are flexible modeling specifications that separate within-and between-cluster effects and allow for both consistent estimation of level-one effects and inclusion of level-two variables. In this article, we elaborate on the separation of within- and between-clus
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Chen, Longmei, Alan T. K. Wan, Geoffrey Tso, and Xinyu Zhang. "A model averaging approach for the ordered probit and nested logit models with applications." Journal of Applied Statistics 45, no. 16 (2018): 3012–52. http://dx.doi.org/10.1080/02664763.2018.1450367.

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Dissertations / Theses on the topic "Ordered probit and logit models"

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Cacho, Beatriz Ferreira. "Satisfação do colaborador nos setores da saúde e tecnológico." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/20879.

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Mestrado em Métodos Quantitativos para a Decisão Económica e Empresarial<br>Utilizando os modelos ordenados probit e logit estimou-se a probabilidade de três níveis de satisfação laboral com base em dados relativos a duas empresas (um hospital e uma empresa tecnológica). Deste modo, foram estimados três modelos. Um primeiro que incorpora as duas empresas e os outros dois para o hospital e para a empresa tecnológica. Embora o ponto de partida da análise empírica fosse o modelo global concluiu-se que, estatisticamente, seria pertinente avançar com regressões separadas por empresa. Nos três tipo
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Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate ordinal regression models: an analysis of corporate credit ratings." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10260-018-00437-7.

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Correlated ordinal data typically arises from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal regression models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripl
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Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings." WU Vienna University of Economics and Business, 2017. http://epub.wu.ac.at/5389/1/Report132_lvana.pdf.

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Correlated ordinal data typically arise from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripletwise likel
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Ndunda, E. N. (Ezekiel Nthee). "Wastewater reuse in urban and peri-urban irrigation : an economic assessment of improved wastewater treatment, low-risk adaptations and risk awareness in Nairobi, Kenya." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/40235.

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The overall goal of this study was to analyse the welfare effect of improved wastewater treatment with the view of making policy recommendations for sustainable urban and peri-urban irrigation agriculture in Kenya. This goal was achieved by investigating three specific objectives. The first objective was to assess the farmers’ awareness of health risks in urban and peri-urban wastewater irrigation. Second objective was to analyse the factors that affect the choice of low-risk adaptations in reuse of untreated wastewater for irrigation. The third objective was to estimate the value that urban a
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Benitez, Rogério Martin. "Impactos das preferências ambientais sobre os resultados dos métodos de análise conjunta de valoração ambiental : rating e ranking contingent." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2005. http://hdl.handle.net/10183/10351.

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Uma das grandes dificuldades na mensuração monetária dos bens e serviços naturais, ou ambientais, reside na valoração do não-uso dos mesmos. Enquanto que o valor de uso de um recurso ambiental pode ser obtido através do mercado, que revela as preferências do consumidor, o valor de não-uso somente pode ser apropriado através do uso de mercados hipotéticos. Dentre as técnicas utilizadas, o método de valoração contingente (CVM) é o mais tradicional mas na última década, diversos economistas têm se voltado para novas abordagens evoluídas das áreas de marketing e transportes. Esses métodos, classif
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Kropko, Jonathan Rabinowitz George. "Choosing between multinomial logit and multinomial probit models for analysis of unordered choice data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1680.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Sep. 16, 2008). "... in partial full̄lment of the requirements for the degree of Master of Arts in the Department of Political Science." Discipline: Political Science; Department/School: Political Science.
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Park, Seong Yong. "Modeling dynamic choice behavior : empirical analysis using multinomial logit and multiperiod multinomial probit models /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8727.

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Ivaschenko, Iryna. "Essays on corporate risk, U.S. business cycles, international spillovers of stock returns, and dual listing." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (EFI), 2003. http://www.hhs.se/efi/summary/625.htm.

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Keller, Joanne Marie. "ANALYSIS OF TYPE AND SEVERITY OF TRAFFIC CRASHES AT SIGNALIZED INTERSECTIONS USING TREE-BASED REGRESSION AND ORDERED PROBIT MODELS." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4382.

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Many studies have shown that intersections are among the most dangerous locations of a roadway network. Therefore, there is a need to understand the factors that contribute to traffic crashes at such locations. One approach is to model crash occurrences based on configuration, geometric characteristics and traffic. Instead of combining all variables and crash types to create a single statistical model, this analysis created several models that address the different factors that affect crashes, by type of collision as well as injury level, at signalized intersections. The first objective was to
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Pörn, Sebastian, and Arvid Rönnblom. "Assesing counterparty risk classification using transition matrices : Comparing models' predictive ability." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136667.

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An important part when managing credit risk is to assess the probability of default of different counterparties. Increases and decreases in such probabil- ities are central components in the assessment, and this is where transition matrices become useful. These matrices are commonly used tools when as- sessing counterparty credit risk, and contain the probability of default, as well as the probability to migrate between different predefined rating classifica- tions. These rating classifications are used to reflect the risk taken towards different counterparties. Therefore, it is important for
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Books on the topic "Ordered probit and logit models"

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Interpreting probability models: Logit, probit, and other generalized linear models. Sage, 1994.

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Cheung, Stella. Provincial credit ratings in Canada: An ordered probit analysis. Bank of Canada, 1996.

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Fairlie, Robert W. An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. IZA, 2006.

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Murphy, Anthony. Artificial regression based LM tests of mis-specification for ordered probit models. University College Dublin, Department of Economics, 1994.

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Murphy, Anthony. Artificial regression based LM tests of mis-specification for ordered logit models: Y Anthony Murphy. Centre for Economic Research, Department of Economics, University College Dublin, 1994.

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Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 2001.

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Glasgow, Garrett, and R. Michael Alvarez. Discrete Choice Methods. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0022.

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This article describes the statistical models commonly used to study discrete choices. It concentrates on the ‘basic’ discrete choice models, and the theoretical choice situations that lead to these models. Specifically the choice situation addressed include: the ordered choice situation and the unordered choice situation. In addition, the article discusses two extensions of the basic discrete choice models commonly seen in political science research — models allowing for heteroskedasticity in the choices made across political agents (such as the heteroskedastic probit), and models that estima
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Book chapters on the topic "Ordered probit and logit models"

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Hsiao, Cheng. "Logit and Probit Models." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-009-0375-3_11.

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Hsiao, Cheng. "Logit and Probit Models." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0137-7_16.

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Gujarati, Damodar. "The Logit and Probit Models." In Econometrics. Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-37502-5_8.

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Dhrymes, Phoebus. "Discrete Choice Models: Logit and Probit Analysis." In Introductory Econometrics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65916-9_9.

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Kantar, Lokman. "Limited Dependent Variables (Logit and Probit Models) and an Application on BIST-100: Logit and Probit Models." In Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54108-8_7.

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"Logit, probit, and tobit models." In Making History Count. Cambridge University Press, 2002. http://dx.doi.org/10.1017/cbo9781139164832.014.

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Berry, William D. "Probit/Logit and Other Binary Models." In Encyclopedia of Social Measurement. Elsevier, 2005. http://dx.doi.org/10.1016/b0-12-369398-5/00176-6.

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Powers, Daniel A., and Yu Xie. "Logit and Probit Models for Binary Data." In Statistical Methods for Categorical Data Analysis. Elsevier, 2000. http://dx.doi.org/10.1016/b978-012563736-7/50003-3.

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"Modelling choice: the LPM, probit and logit models." In Empirical Development Economics. Routledge, 2014. http://dx.doi.org/10.4324/9780203070925-31.

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"4. Ordered Logistic and Probit Regression Models." In Regression Models for Categorical, Count, and Related Variables. University of California Press, 2019. http://dx.doi.org/10.1525/9780520965492-006.

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Conference papers on the topic "Ordered probit and logit models"

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"Bivariate Ordered-Probit Estimation of Simultaneous Competing-Risk Hazard Models for Mortgage Default and Prepayment." In 5th European Real Estate Society Conference: ERES Conference 1998. ERES, 1998. http://dx.doi.org/10.15396/eres1998_116.

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Forciniti, Carmen, Juan De Oña, Rocio De Oña, Laura Eboli, and Gabriella Mazzulla. "An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3199.

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Passengers’ behavioural intentions after experiencing transit services can be viewed as signals that show if a customer continues to utilise a company’s service. Users’ behavioural intentions can depend on a series of aspects that are difficult to measure directly. More recently, transit passengers’ behavioural intentions have been just considered together with the concepts of service quality and customer satisfaction. Due to the characteristics of the ways for evaluating passengers’ behavioural intentions, service quality and customer satisfaction, we retain that this kind of issue could be a
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Forciniti, Carmen, Laura Eboli, Gabriella Mazzulla, and Francisco Calvo. "Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3205.

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The configuration of urban areas is the result of a cyclic relationship between land use and transportation system: the changes in transportation system arrangements influence the localisation of residence and economic activities, as well as the changes in land use affect transportation system characteristics. In this context, by operating on land use, travel demand can be shift from the individual transportation modes to transit systems. In the literature, many conceptual models were proposed to describe the complex relationship between land use and travel behaviour. In addition to spatial va
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Kuruczleki, Éva. "Overcoming methodological issues in measuring financial literacy of companies, a proposed measurement model." In The Challenges of Analyzing Social and Economic Processes in the 21st Century. Szegedi Tudományegyetem Gazdaságtudományi Kar, 2020. http://dx.doi.org/10.14232/casep21c.16.

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In the past decade, individual and company financial literacy measurement methods went through substantial changes. To investigate factors contributing to financial literacy of both individuals and firms, scholars needed to reach out for new measurement methods other than the traditional knowledge tests widely used previously. This paper provides a synthesis of the most recent studies concerning both individual and company financial literacy regarding the dimensions of financial literacy and methods available for measuring and modelling financial literacy. The results highlight new emerging tr
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Shiau, Ching-Shin, Ian H. Tseng, Andrew W. Heutchy, and Jeremy Michalek. "Design Optimization of a Laptop Computer Using Aggregate and Mixed Logit Demand Models With Consumer Survey Data." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34883.

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Laptop computers are designed in a variety of shapes and sizes in order to satisfy diverse consumer preferences. Each design is optimized to attract consumers with a particular set of preferences for design tradeoffs. Gaining a better understanding of these tradeoffs and preferences is beneficial to both laptop designers and to consumers. This paper introduces an engineering model for laptop computer design and a demand model derived from a main-effects choice-based conjoint survey. Several demand model specifications are compared, including linear-in-parameters and discrete part-worth specifi
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Yip, Arthur H. C., Jeremy J. Michalek, and Kate S. Whitefoot. "Implications of Competitor Representation on Optimal Design." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98114.

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Abstract We investigate the effect of competitor product representation on optimal design results in profit-maximization studies. Specifically, we study the implications of replacing a large set of product alternatives available in the marketplace with a reduced set of selected competitors or with composite alternatives, as is common in the literature. We derive first-order optimality conditions and show that optimal design (but not price) is independent of competitors under the logit and nested logit models (where preference coefficients are homogeneous), but optimal design results may depend
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Yayar, Rüştü. "Identifying the Factors Affecting the Willingness to Pay for Environmentally Friendly Products: Empirical Evidence from Turkey." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01627.

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The use of resources for sustainable growth is extremely important in the fight against famine. It should not pollute the environment for sustainable production. Therefore, the consumption of environmentally friendly products is the most important step in the sustainable production. The aim of the study was to determine factors affecting the willingness of consumers to pay more for environmentally friendly products. The willingness of consumers to pay more was analyzed in terms of socio-economic and demographic characteristics of consumers. The study was interviewed with 479 consumers living t
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Echaniz Beneitez, Eneko, Luigi Dell'Olio, and Angel Ibeas Portilla. "MODELLING PERCEIVED QUALITY FOR URBAN TRANSPORT SYSTEMS USING WEIGHTED VARIABLES AND RANDOM PARAMETERS." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4072.

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In this article, an Ordered Logit model is proposed considering systematic and random variations in tastes. The methodology followed for the creation of this model consisted, in first place, in obtaining data using a revelled preferences survey. In the survey, each user had to evaluate, following a qualitative scale, each one of the attributes of the analysed transport system. The variables evaluated in the survey had been grouped into six groups, and for each group, users had to order the attributes belonging to the group, using a ranking based method, from the most important to de least impo
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Morrow, W. Ross, Joshua Mineroff, and Kate S. Whitefoot. "Numerically Stable Design Optimization With Price Competition." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71201.

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Researchers in Decision-Based Design have asserted that business objectives, e.g. profits, should replace engineering requirements or performance metrics as the objective for engineering design. Using profits as the objective for engineering design, however, requires modeling consumer preferences and competition between firms. Game theoretic “design-then-pricing” models—i.e. product design with price competition—provide an important framework for integrating consumer preferences and competition when design decisions must be made before prices are decided by a firm or by its competitors. This a
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Kumar, Deepak, Chris Hoyle, Wei Chen, Nanxin Wang, Gianna Gomez-Levi, and Frank S. Koppelman. "Incorporating Customer Preferences and Market Trends in Vehicle Package Design." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35520.

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Demand models play a critical role in enterprise-driven design by expressing revenues and costs as functions of product attributes. However, existing demand modeling approaches in the design literature do not sufficiently address the unique issues that arise when complex systems are being considered. Current approaches typically consider customer preferences for only quantitative product characteristics and do not offer a methodology to incorporate customer preference-data from multiple component/subsystem-specific surveys to make product-level design trade-offs. In this paper, we propose a hi
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