Dissertations / Theses on the topic 'Preferences'
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Vosper, Jane. "Using stated preference choice modelling to determine treatment preferences : investigating preferences for depression treatment." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559707.
Full textZhao, Jinhua 1977. "Preference accommodating and preference shaping : incorporating traveler preferences into transportation planning." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54221.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 212-220).
This dissertation examines the psychological factors that influence travel behavior such as people's personality traits, environmental attitudes, car pride and perceptions of convenience and comfort. Despite the recognition of the importance of these psychological factors in better understanding travel behavior, transportation agencies have failed to integrate them into planning practice and policy debate in the quantitative way. This dissertation reflects on this failure, identifies the barriers that have contributed to it, and reviews innovations in travel behavior research which may help overcome these barriers. This dissertation proposes a structure for analyzing traveler preferences that incorporates these psychological factors into travel behavior analysis. A set of eight factors are presented as the latent elements of travel preferences to illustrate the structure, including two personality traits; three environmental attitude factors and car pride; and two perceptual factors of convenience and comfort. A MIMIC model quantifies the eight factors and examines the relationships among these factors as well as between them and socioeconomic variables. Despite the significant correlations with socioeconomic variables, personality, attitudes and perceptions prove to be characteristics of individuals that are distinct from the socioeconomics. The dissertation presents three applications that incorporate these latent factors into travel demand analysis of three critical aspects of travel behavior: car use, mode choice and car ownership. Incorporating the latent variables significantly improves the overall exploratory power of the transportation models.
(cont.) The results suggest that plausible changes in traveler preferences can have an effect on behavior in magnitude similar to the impacts that result from rising household income or increased population density. Unobserved heterogeneities exist not only for preferences with respect to observed variables such as travel time, but also for latent factors such as car pride and perception of convenience. Preference Accommodating and Preference Shaping in Transportation Planning 3 Mutual dependencies between travel preferences and behavior are identified and the direction and strength of the causal connections are modeled explicitly. Depending on the specific latent factors and aspect of travel behavior, the causal relationships could be from preferences to behavior, from behavior to preferences, or be significant in both directions concurrently These three applications also demonstrate in terms of methodology that 1) hierarchical relationships among latent factors can be simultaneously estimated with discrete choice models; 2) latent variable and latent class modeling techniques can be combined to test unobserved heterogeneities in travelers' sensitivity to latent variables; 3) causal relationships between behavior and preferences can be examined in the SEM or hybrid SEM and discrete choice model. This dissertation proposes two complementary perspectives to examine how to embed traveler preferences in the planning practice: planning as preference accommodating and planning as preference shaping.
(cont.) Combining both perspectives, this dissertation argues that by ignoring the importance of traveler preferences, not only may we make serious mistakes in the planning, modeling and appraisal processes, but we may also fail to recognize significant opportunities to mitigate or solve transportation problems by influencing and exploiting changes in people's preferences.
by Jinhua Zhao.
Ph.D.
Rybáková, Nina. "Mezičasová volba osob romského etnika a většinové populace." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75191.
Full textClark, Michael D. "Eliciting preferences using discrete choice experiments in healthcare : willingness to pay, stakeholder preferences, and altruistic preferences." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/88792/.
Full textHarris, Alexander Nicholas Edward. "Preferences and cooperation." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/287933.
Full textSerra, Jaime, Antónia Correia, and Paulo M. M. Rodrigues. "Yielding Tourists’ Preferences." Bachelor's thesis, Emerald Group Publishing Limited, 2015. http://hdl.handle.net/10174/16858.
Full textBoxer, Christie Marie Fitzgerald. "Predicting Spouse Preferences." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3266.
Full textShay, Nathan Michael. "Investigating Real-Time Employer-Based Ridesharing Preferences Based on Stated Preference Survey Data." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471587439.
Full textSkedgel, Chris D. "Estimating societal preferences for the allocation of healthcare resources using stated preference methods." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/6307/.
Full textFreeman, Shannon. "Developing preferences for low-preference age-appropriate leisure activities in adults with developmental disabilities /." Available to subscribers only, 2005. http://proquest.umi.com/pqdweb?did=1079659771&sid=19&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textStrassmair, Christina. "Incentives and social preferences." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-108369.
Full textDreber, Almenberg Anna. "Determinants of economic preferences." Doctoral thesis, Handelshögskolan i Stockholm, Samhällsekonomi (S), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-430.
Full textVanLelyveld, Iman Paul Pieter. "Inflation, institutions, and preferences /." Amsterdam : Thela thesis, 2000. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009219782&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textFlynn, Niall. "Essays on interdependent preferences." Thesis, University of Nottingham, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546263.
Full textShin, Jongu. "Modeling users' powertrain preferences." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62670.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 79).
Our goal is to construct a system that can determine a drivers preferences and goals and perform appropriate actions to aid the driver achieving his goals and improve the quality of his road behavior. Because the recommendation problem could be achieved effectively once we know the driver's intention, in this thesis, we are going to solve the problem to determine the driver's preferences. A supervised learning approach has already been applied to this problem. However, because the approach locally classify a small interval at a time and is memoryless, the supervised learning does not perform well on our goal. Instead, we need to introduce new approach which has following characteristics. First, it should consider the entire stream of measurements. Second, it should be tolerant to the environment. Third, it should be able to distinguish various intentions. In this thesis, two different approaches, Bayesian hypothesis testing and inverse reinforcement learning, will be used to classify and estimate the user's preferences. Bayesian hypothesis testing classifies the driver as one of several driving types. Assuming that the probability distributions of the features (i.e. average, standard deviation) for a short period of measurement are different among the driving types, Bayesian hypothesis testing classifies the driver as one of driving types by maintaining a belief distribution for each driving type and updating it online as more measurements are available. On the other hand, inverse reinforcement learning estimates the users' preferences as a linear combination of driving types. The inverse reinforcement learning approach assumes that the driver maximizes a reward function while driving, and his reward function is a linear combination of raw / expert features. Based on the observed trajectories of representative drivers, apprenticeship learning first calculates the reward function of each driving type with raw features, and these reward functions serve as expert features. After, with observed trajectories of a new driver, the same algorithm calculates the reward function of him, not with raw features, but with expert features, and estimates the preferences of any driver in a space of driving types.
by Jongu Shin.
M.Eng.
Yasgur, Stuart. "Reasons, rationality and preferences." Thesis, London School of Economics and Political Science (University of London), 2011. http://etheses.lse.ac.uk/411/.
Full textBaldwin, Elizabeth. "Modelling preferences in economics." Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:8abebfd3-58df-4223-83b8-ce2f43b5dc90.
Full textBouacida, Elias. "Choices, Preferences, and Welfare." Thesis, Paris 1, 2019. http://www.theses.fr/2019PA01E017.
Full textRevealed preferences link choices, preferences, and welfare when choices appear consistent. The first chapter assesses how much structure is necessary to impose on a model to provide precise welfare guidance based on inconsistent choices. We use data sets from the lab and field to evaluate the predictive power of two conservative “model-free” approaches of behavioral welfare analysis. We find that for most individuals, these approaches have high predictive power, which means there is little ambiguity about what should be selected from each choice set. We show that the predictive power of these approaches correlates highly with two properties of revealed preferences. The second chapter introduces a method for eliciting the set of best alternatives of decision makers, in line with the theory on revealed preferences, but at odds with the current practice. We allow decision makers to choose several alternatives, provide an incentive for each alternative chosen, and then randomly select one for payment. We derive the conditions under which we partially or fully identify the set of best alternatives. The third chapter applies the method in an experiment. We fully identify the set of best alternatives for 18% of subjects and partially identify it for another 40%. We show that complete, reflexive, and transitive preferences rationalize 40% of observed choices in the experiment. Going beyond, we show that allowing for menu-dependent choices while keeping classical preferences rationalize 96% of observed choices. Besides, eliciting sets allows us to conclude that indifference is significant in the experiment, and underestimate by the classical method
PANEDA, FERNANDEZ Irene. "Misfortune and redistributive preferences." Doctoral thesis, European University Institute, 2022. https://hdl.handle.net/1814/73875.
Full textExamining Board: Professor Arnout van de Rijt, (European University Institute); Professor Elias Dinas, (European University Institute); Professor Luis Miller, (Spanish National Research Council (CSIC)); Professor Jen Heerwig, (SUNY-Stony Brook)
This dissertation delves into the question of when and why people come to oppose large income disparities. While social scientists have shown that self-interest matters in some cases, much remains to be understood about why sometimes values and beliefs take precedence while some other times they do not. In three independent empirical chapters, I explore this by looking at how different types of misfortune shape inequality attitudes differently. In chapters 2 and 3 I study natural disasters and find that they do not always increase redistributive demands. Chapter 2 takes a cross-country approach and studies risk and incidence of different types of disasters. Results show that it is unpredictable and surprising disasters such as earthquakes that trigger an increase demands that incomes should be made more equal whereas predictable disasters such as tropical storms do not. Chapter 3 zooms into the case of one of the largest earthquakes ever recorded, the 2011 Tohoku earthquake in Japan, to investigate in detail how a shared experience of bad luck that cuts across socio-economic fault lines impacts redistributive demands. Exploiting a natural experiment and unique panel data on the same individuals before and after the event, I show that even though the disaster does increase demands to redistribute to the poor it leaves demands to redistribute from the rich (higher taxes on the rich) unaffected. I argue demands to redistribute increase because the disaster forces close experiences with socio-economic others and increase social affinity to the poor. At the same time, even though natural disasters do disproportionately impact the poor, demands to ‘soak the rich’ do not increase because the rich are unlikely to become antagonists as the public often perceives these catastrophes as a force of nature and due to bad luck. Results stand in contrast with findings that financial crises increase demands for progressive taxation and highlight how different types of shocks may have different consequences. My findings thus highlight an important caveat to the ability of natural disasters to bring about a reckoning with inequality. Finally, Chapter 4 shifts focus away from natural disasters and considers a more mundane type of misfortune: living in precarious material circumstances. The chapter explores how income interacts with belief in meritocracy in shaping attitudes toward inequality. Contrary to previous work, our results from three cross-country surveys and an original experiment on a nationally representative sample show that the poor’s redistributive demands are not shaped by the extent to which they perceive inequality to stem out of effort or luck whereas such perception is decisive for the rich. Results are consistent with two explanations. The first one is based on the idea that poverty reduces the importance of other-regarding concerns in redistributive preferences and the second one is based on an overlooked observation by sociologist Michael Young: losing out due to effort may be just as if not more painful than losing out due to luck. Results from the original experiment are consistent with this explanation, as negative emotional reactions are just as if not more intense when losing out in a contest where the winner is declared based on performance than when it is based on luck. Findings from this last chapter stand in contrast with the increasingly common view in the literature that individuals tend to accept as fair inequality stemming out of effort and oppose inequality stemming out of luck. Taken together, findings in this dissertation have important implications for the politics of redistribution in the 21st century.
Vile, Matthew. "Gun Control Policy Preference in Context: A Contextually Sensitive Model of Gun Control Policy Preferences." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/332.
Full textConfalonieri, Roberto. "The Role of preferences in logic programming: nonmonotonic reasoning, user preferences, decision under uncertainty." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/84042.
Full textEls sistemes intel.ligents que assisteixen a usuaris en la realització de tasques complexes necessiten una representació concisa i formal de la informació que permeti un raonament nomonòton en condicions d’incertesa. Per a poder escollir entre les diferents opcions, aquests sistemes solen necessitar una representació del concepte de preferència. Les preferències poden proporcionar una manera efectiva de triar entre les millors solucions a un problema. Aquestes solucions poden representar els estats del món més plausibles quan es tracta de modelar informació incompleta, els estats del món més satisfactori quan expressem preferències de l’usuari, o decisions òptimes quan estem parlant de presa de decisió incorporant incertesa. L’ús de les preferències ha beneficiat diferents dominis, com, el raonament en presència d’informació incompleta i incerta, el modelat de preferències d’usuari, i la presa de decisió sota incertesa. En la literatura, s’hi troben diferents aproximacions al raonament no clàssic basades en una representació simbòlica de la informació. Entre elles, l’enfocament de programació lògica, utilitzant la semàntica de answer set, ofereix una bona aproximació entre representació i processament simbòlic del coneixement, i diferents extensions per gestionar les preferències. No obstant això, en programació lògica es poden identificar diferents problemes pel que fa a la gestió de les preferències. Per exemple, en la majoria d’enfocaments de raonament no-monòton s’assumeix que les excepcions a default rules d’un programa lògic ja estan expressades. Però de vegades es poden considerar preferències implícites basades en l’especificitat de les regles per gestionar la informació incompleta. A més, quan la informació és també incerta, la selecció de default rules pot dependre de preferències explícites i de la incertesa. En el modelatge de preferències del usuari, encara que els formalismes existents basats en programació lògica permetin expressar preferències que depenen d’informació contextual i incompleta, en algunes aplicacions, donat un context, algunes preferències poden ser més importants que unes altres. Per tant, resulta d’interès un llenguatge que permeti capturar preferències més complexes. En la presa de decisions sota incertesa, les metodologies basades en programació lògica creades fins ara no ofereixen una solució del tot satisfactòria pel que fa a la gestió de les preferències i la incertesa. L’objectiu d’aquesta tesi és doble: 1) estudiar el paper de les preferències en la programació lògica des de diferents perspectives, i 2) contribuir a aquesta jove àrea d’investigació proposant diferents marcs teòrics i mètodes per abordar els problemes anteriorment citats. Per a aquest propòsit veurem com les preferències es poden utilitzar de manera implícita i explícita per a la selecció de default rules proposant: (i) un mètode basat en l’especificitat de les regles, que permeti seleccionar regles en un programa lògic; (ii) un marc teòric per a la selecció de default rules incertes basat en preferències explícites i la incertesa de les regles. També veurem com les preferències de l’usuari poden ser modelades i processades usant un enfocament de programació lògica (iii) que suporti la creació d’un mecanisme de gestió dels perfils dels usuaris en un sistema amb reconeixement del context; (iv) que permeti proposar un marc teòric capaç d’expressar preferències amb fòrmules imbricades. Per últim, amb l’objectiu de disminuir la distància entre programació lògica i la presa de decisió amb incertesa proposem (v) una metodologia basada en programació lògica clàssica i en una extensió de la programació lògica que incorpora lògica possibilística per modelar un problema de presa de decisions i per inferir una decisió òptima.
Los sistemas inteligentes que asisten a usuarios en tareas complejas necesitan una representación concisa y procesable de la información que permita un razonamiento nomonótono e incierto. Para poder escoger entre las diferentes opciones, estos sistemas suelen necesitar una representación del concepto de preferencia. Las preferencias pueden proporcionar una manera efectiva para elegir entre las mejores soluciones a un problema. Dichas soluciones pueden representar los estados del mundo más plausibles cuando hablamos de representación de información incompleta, los estados del mundo más satisfactorios cuando hablamos de preferencias del usuario, o decisiones óptimas cuando estamos hablando de toma de decisión con incertidumbre. El uso de las preferencias ha beneficiado diferentes dominios, como, razonamiento en presencia de información incompleta e incierta, modelado de preferencias de usuario, y toma de decisión con incertidumbre. En la literatura, distintos enfoques simbólicos de razonamiento no clásico han sido creados. Entre ellos, la programación lógica con la semántica de answer set ofrece un buen acercamiento entre representación y procesamiento simbólico del conocimiento, y diferentes extensiones para manejar las preferencias. Sin embargo, en programación lógica se pueden identificar diferentes problemas con respecto al manejo de las preferencias. Por ejemplo, en la mayoría de enfoques de razonamiento no-monótono se asume que las excepciones a default rules de un programa lógico ya están expresadas. Pero, a veces se pueden considerar preferencias implícitas basadas en la especificidad de las reglas para manejar la información incompleta. Además, cuando la información es también incierta, la selección de default rules pueden depender de preferencias explícitas y de la incertidumbre. En el modelado de preferencias, aunque los formalismos existentes basados en programación lógica permitan expresar preferencias que dependen de información contextual e incompleta, in algunas aplicaciones, algunas preferencias en un contexto puede ser más importantes que otras. Por lo tanto, un lenguaje que permita capturar preferencias más complejas es deseable. En la toma de decisiones con incertidumbre, las metodologías basadas en programación lógica creadas hasta ahora no ofrecen una solución del todo satisfactoria al manejo de las preferencias y la incertidumbre. El objectivo de esta tesis es doble: 1) estudiar el rol de las preferencias en programación lógica desde diferentes perspectivas, y 2) contribuir a esta joven área de investigación proponiendo diferentes marcos teóricos y métodos para abordar los problemas anteriormente citados. Para este propósito veremos como las preferencias pueden ser usadas de manera implícita y explícita para la selección de default rules proponiendo: (i) un método para seleccionar reglas en un programa basado en la especificad de las reglas; (ii) un marco teórico para la selección de default rules basado en preferencias explícitas y incertidumbre. También veremos como las preferencias del usuario pueden ser modeladas y procesadas usando un enfoque de programación lógica (iii) para crear un mecanismo de manejo de los perfiles de los usuarios en un sistema con reconocimiento del contexto; (iv) para crear un marco teórico capaz de expresar preferencias con formulas anidadas. Por último, con el objetivo de disminuir la distancia entre programación lógica y la toma de decisión con incertidumbre proponemos (v) una metodología para modelar un problema de toma de decisiones y para inferir una decisión óptima usando un enfoque de programación lógica clásica y uno de programación lógica extendida con lógica posibilística.
Sistemi intelligenti, destinati a fornire supporto agli utenti in processi decisionali complessi, richiedono una rappresentazione dell’informazione concisa, formale e che permetta di ragionare in maniera non monotona e incerta. Per poter scegliere tra le diverse opzioni, tali sistemi hanno bisogno di disporre di una rappresentazione del concetto di preferenza altrettanto concisa e formale. Le preferenze offrono una maniera efficace per scegliere le miglior soluzioni di un problema. Tali soluzioni possono rappresentare gli stati del mondo più credibili quando si tratta di ragionamento non monotono, gli stati del mondo più soddisfacenti quando si tratta delle preferenze degli utenti, o le decisioni migliori quando prendiamo una decisione in condizioni di incertezza. Diversi domini come ad esempio il ragionamento non monotono e incerto, la strutturazione del profilo utente, e i modelli di decisione in condizioni d’incertezza hanno tratto beneficio dalla rappresentazione delle preferenze. Nella bibliografia disponibile si possono incontrare diversi approcci simbolici al ragionamento non classico. Tra questi, la programmazione logica con answer set semantics offre un buon compromesso tra rappresentazione simbolica e processamento dell’informazione, e diversi estensioni per la gestione delle preferenze sono state proposti in tal senso. Nonostante ció, nella programmazione logica esistono ancora delle problematiche aperte. Prima di tutto, nella maggior parte degli approcci al ragionamento non monotono, si suppone che nel programma le eccezioni alle regole siano già specificate. Tuttavia, a volte per trattare l’informazione incompleta è possibile prendere in considerazione preferenze implicite basate sulla specificità delle regole. In secondo luogo, la gestione congiunta di eccezioni e incertezza ha avuto scarsa attenzione: quando l’informazione è incerta, la scelta di default rule può essere una questione di preferenze esplicite e d’incertezza allo stesso tempo. Nella creazione di preferenze dell’utente, anche se le specifiche di programmazione logica esistenti permettono di esprimere preferenze che dipendono sia da un’informazione incompleta che da una contestuale, in alcune applicazioni talune preferenze possono essere più importanti di altre, o espressioni più complesse devono essere supportate. In un processo decisionale con incertezza, le metodologie basate sulla programmazione logica viste sinora, non offrono una gestione soddisfacente delle preferenze e dell’incertezza. Lo scopo di questa dissertazione è doppio: 1) chiarire il ruolo che le preferenze giocano nella programmazione logica da diverse prospettive e 2) contribuire proponendo in questo nuovo settore di ricerca, diversi framework e metodi in grado di affrontare le citate problematiche. Per prima cosa, dimostreremo come le preferenze possono essere usate per selezionare default rule in un programma in maniera implicita ed esplicita. In particolare proporremo: (i) un metodo per la selezione delle regole di un programma logico basato sulla specificità dell’informazione; (ii) un framework per la selezione di default rule basato sulle preferenze esplicite e sull’incertezza associata alle regole del programma. Poi, vedremo come le preferenze degli utenti possono essere modellate attraverso un programma logico, (iii) per creare il profilo dell’utente in un sistema context-aware, e (iv) per proporre un framework che supporti la definizione di preferenze complesse. Infine, per colmare le lacune in programmazione logica applicata a un processo di decisione con incertezza (v) proporremo una metodologia basata sulla programmazione logica classica e una metodologia basata su un’estensione della programmazione logica con logica possibilistica.
Preston, Charles. "Analysing Risk Preferences and Time Preferences with respect to Smoking Status and Smoking Intensity." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/30954.
Full textMeester, Wilhelm J. "Locational Preferences of Entrepreneurs : stated preferences in the Netherlands and Germany; with 44 tab. /." Heidelberg [u.a.] : Physica, 2004. http://swbplus.bsz-bw.de/bsz109921321cov.htm.
Full textWang, Xinghua. "Essays on the external validity of social preference games." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/669930.
Full textLos tres capítulos de esta tesis investigan la validez externa de los juegos de preferencias sociales. El Capítulo 1 revela la naturaleza dependiente del contexto del comportamiento social humano y muestra que es posible hacer que los juegos de laboratorio sean mucho más predictivos del comportamiento de campo si se traen los elementos contextuales correctos del campo al laboratorio. El capítulo 2 muestra que los juegos de preferencias sociales alcanzan correlaciones moderadas con una colección de comportamientos pro-sociales diarios cuando estos comportamientos son observados y agregados a lo largo de un período de tiempo más largo. Esto sugiere que los juegos libres de contexto capturan ciertos aspectos fundamentales de la pro-socialidad en la vida diaria y que la investigación futura sobre la validez externa de estos juegos debería prestar más atención al comportamiento social durante períodos más prolongados. El Capítulo 3 presenta una investigación sistemática de la validez externa de los juegos de preferencias sociales en el lugar de trabajo, comparando el comportamiento en los juegos con comportamientos organizacionales en un grupo de hoteles. Los resultados muestran que los juegos de preferencia social tienen un bajo poder predictivo en relación al comportamiento organizacional.
Tosu, Dilara. "Essays on preferences for redistribution." Doctoral thesis, Universitat de Girona, 2020. http://hdl.handle.net/10803/671582.
Full textLa tesis explora las actitudes de los individuos hacia la redistribución. Los capítulos 1 y 2 presentan dos modelos teóricos dinámicos que se utilizan para analizar la interrelación entre las decisiones educativas y las preferencias de redistribución. El Capítulo 3 utiliza un enfoque empírico para estudiar la relación entre la segregación, que se mide mediante el apareamiento selectivo, y la demanda de redistribución
Arcia, Adriana. "Predictors of Nulliparas' Childbirth Preferences." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/671.
Full textStrasser, Sebastian. "Incentives and other-regarding preferences." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-139901.
Full textÖstling, Robert. "Bounded rationality and endogenous preferences." Doctoral thesis, Handelshögskolan i Stockholm, Samhällsekonomi (S), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-454.
Full textPaciorek, Albertyna. "Implicit learning of semantic preferences." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/244632.
Full textDimitriadou, Marika. "Nostalgia and ethnocentric product preferences." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/38624.
Full textLafleur, Mary-Lou Terry. ""Spirit Camp" : indigenous website preferences." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31733.
Full textArts, Faculty of
Anthropology, Department of
Graduate
Rose, Grenville John, of Western Sydney Hawkesbury University, Faculty of Science and Technology, and School of Food Science. "Sensory aspects of food preferences." THESIS_FST_SFS_Rose_G.xml, 1999. http://handle.uws.edu.au:8081/1959.7/130.
Full textDoctor of Philosophy (PhD)
Konczak, Kathrin. "Preferences in answer set programming." Phd thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1205/.
Full textEspinoza, Nicolas. "Incomparable risks, values and preferences." Licentiate thesis, Stockholm : Department of Philosophy and the History of Technology, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4214.
Full textKazemi, Ali. "Distributive preferences in social dilemmas /." Göteborg : Dept. of Psychology, Göteborg University, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015509278&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textAgebro, Markus. "Driver preferences of steering characteristics /." Stockholm, : Farkost och flyg, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4525.
Full textRose, Grenville. "Sensory aspects of food preferences /." [Richmond, N.S.W.] : School of Food Sciences, University of Western Sydney, Hawkesbury, 1999. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030430.141239/index.html.
Full textBlackburn, Douglas W. "Three essays on investor preferences." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3277982.
Full textSource: Dissertation Abstracts International, Volume: 68-09, Section: A, page: 3999. Advisers: Charles Trzcinka; Andrey Ukhov. Title from dissertation home page (viewed May 5, 2008).
Burkard, Anita M. "Analysis of decision maker preferences." Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-01262010-020101/.
Full textViceisza, Angelino Casio. "Essays on Corruption and Preferences." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/econ_diss/49.
Full textAlriksson, Stina. "Environmental preferences among steel stakeholders." Doctoral thesis, Linnéuniversitetet, Institutionen för biologi och miljö (BOM), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-28310.
Full textNosenzo, Daniele. "Social preferences and social comparisons." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11362/.
Full textFarmer, Adam. "POLITICAL IDEOLOGY AND CONSUMER PREFERENCES." UKnowledge, 2014. http://uknowledge.uky.edu/marketing_etds/2.
Full textSchaffner, Angela D. "Preferences for interventions in counseling." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1222832.
Full textDepartment of Secondary, Higher, and Foundations of Education
Mamman, Aminu. "Employees' preferences for payment systems." Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248142.
Full textWelling, Lisa Louise Margaret. "Individual differences in face preferences." Thesis, University of Aberdeen, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446215.
Full textKang, Jong-Gu. "General equilibrium with heterogeneous preferences." Thesis, University of Essex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397699.
Full textHess-Homeier, Megan. "Parent preferences and school segregation." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118252.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
Schools in New York City are deeply segregated by both race and class. The confluent forces of residential segregation and family school preference have led to increasingly segregated schools since the 1980s. The New York City Department of Education (DOE) has taken steps to desegregate schools since a 2014 report by the UCLA Civil Rights Project named New York State the state with the most segregated schools. Though the DOE is doing more to address segregation than most districts, their efforts are still cautious, careful not to alienate the high status families it sees as necessary for racial and economic integration. Additionally, the Department of Education is working towards school 'diversity' but their policy fails to adequately address the closely linked issue of ongoing education inequality. This project explores how parent choice impacts school segregation, provides recommendations for how the DOE should address parent choice in its diversity policy and develops a framework for moving beyond desegregation to build deep and stable integration in city schools.
by Megan Hess-Homeier.
M.C.P.
Lee, Jeeyun Jennifer. "Clovette : predicting preferences for flowers." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104549.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 69-73).
Flowers are often gifted for major holidays and personal holidays, for both personal and corporate purposes. Today's solutions in the market are abundant but scattered, with many players offering products of varying quality at a range of price points. To command higher prices and stay relevant in the market, florists need to distinguish themselves through high quality and/or niche product and ease of service. The goal for this project is to map the current competitive landscape and supply chain of the flower industry, and to determine whether predictive modeling in the floral industry is feasible as a point of difference for new gifting company Clovette. Data collection through distribution of a survey called "Discovering Floral Preference" assessed the potential for prediction. Furthermore, the project explores Clovette's brand identity and potential "good" business development through sustainability initiatives and supply chain optimization. Keywords: random forest, predictive modeling, flowers, gifting, sustainability.
by Jeeyun Jennifer Lee.
M.B.A.
Gärtner, Manja. "Prosocial Behavior and Redistributive Preferences." Doctoral thesis, Stockholms universitet, Nationalekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-121353.
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