We follow the approach of expressive voting and consider that voters with more extreme ideology can enjoy higher utility after voting. However, along with effect of ideology, voters also take the difference of his ideology and candidate¡¦s into account. Given the above assumptions, two candidates choose their ideology before voters decide whether and for whom to vote. Two candidates¡¦ ideology converges to the middle point if voters¡¦ utility generated by expressive voting approach is less important than by instrumental voting approach. In the opposite, two candidates¡¦ ideology diverge and the voters with mild ideology refuse to vote in point if voters¡¦ utility generated by expressive voting approach is more important. We examine the ANES data of ten U.S. presidential elections from 1972 to 2008. The nested logit model is used to estimate the corresponding coefficients of voters¡¦ utility generated by expressive voting approach and instrumental voting approach. The data supports our conjecture that voters with more extreme ideology are more likely to cast their votes.

Die vorliegende Arbeit besteht aus vier Aufsätzen, die sich mit der Modellierung von Markenwahlverhalten und Markentreue beschäftigen. Der erste Aufsatz gibt eine Einführung in das Nested Logit Modell und weist auf die Existenz von zwei unterschiedlichen Spezifikationen hin. Das utility maximization nested logit (UMNL) und das non-normalized nested logit (NNNL) Modell besitzen unterschiedliche Eigenschaften, die die Schätzergebnisse beeinflussen. Mit einer Simulationsstudie werden die Konsequenzen der Verwendung verschiedener Softwarepakete demonstriert. Außerdem wird gezeigt, dass nur die UMNL Spezifikation bei Auferlegung einer Parameterrestriktion mit der Zufallsnutzentheorie konform ist. Der zweite Aufsatz untersucht anhand von realen Haushaltspaneldaten den Erfolg einer Familienmarkenstrategie. Die Signaling Theorie liefert einen Rahmen für die dem Markenwahlverhalten zugrunde liegenden psychologischen Prozesse zur Entstehung und Erklärung von produktkategorieübergreifender Markentreue. In einer empirischen Studie wird untersucht, inwieweit in einer Kategorie markentreue Kunden dieser Marke auch in anderen Produktkategorien treu sind. Es wird ein Markentreue-Hebel-Index entwickelt. Im dritten Aufsatz stehen die psychologischen Determinanten von kategorieübergreifenden Zusammenhängen im Markenwahlverhalten im Mittelpunkt. In einer empirischen Studie wird die Risikoaversion als entscheidender Bestimmungsfaktor von kategorieübergreifender Markentreue untersucht. Die konsumentenspezifische Risikoaversion wird dabei über Innovativeness und Status Quo Bias erfasst. Im vierten Aufsatz wird das Hybride Wahlmodell einem breiten Marketingpublikum vorgestellt. Klassische Wahlmodelle gehen davon aus, dass das beobachtbare Verhalten das Resultat eines nicht spezifizierten Evaluationsprozesses des Individuums ist. Der kausalanalytische Ansatz hingegen erlaubt die Spezifikation nicht direkt messbarer Faktoren als latente Variablen und kann somit Wahlmodelle sinnvoll ergänzen. / This thesis is composed of four essays that pick up topics in brand choice and brand loyalty modeling. The first essay gives an introduction to the nested logit model and points attention to the existence of two different specifications. The utility maximization nested logit (UMNL) model and the non-normalized nested logit (NNNL) model have different properties which impact the estimation results. In a simulation study, the consequences of the usage of different software packages for model estimation on the estimation results is demonstrated. It is also shown that only the UMNL specification with an imposed parameter restriction is consistent with the underlying random utility theory. The second essay investigates the success of an umbrella branding strategy using household panel data. Signaling theory provides a framework for the underlying psychological processes in consumers'' brand choice behavior and can contribute in the formation and explanation of loyalty to the brand in multiple categories. An empirical study determines whether there is a tendency for loyal consumers from one product category to be loyal to the same brand in other product categories as well. Therefore, a cross-category brand loyalty leverage index is developed. In the third essay, consumer-specific psychological determinants of cross-category relations between brand loyal choice decisions are discussed. In an empirical study, the concept of risk aversion is considered as the key determinant of cross-category brand loyalty. Consumers'' risk aversion is derived from their innovativeness and status quo bias. In the fourth essay, the hybrid choice model is introduced to the broad marketing audience. Traditional choice models assume that observable behavior results from an unspecified evaluation process of the observed individual. The causal-analytic approach offers the possibility to specify not directly measurable factors as latent variables, and can thus reasonably supplement choice models.

Travel demand Management (TDM) focuses on improving the efficiency of the transportation system through changing traveler's travel behavior rather than expanding the infrastructure. An employer based integrated TDM program generally includes strategies designed to change the commuter's travel behavior in terms of mode choice, time choice and travel frequency. Research on TDM has focused on the evaluation of the effectiveness of TDM program to report progress and find effective strategies. Another research area, identified as high-priority research need by TRB TDM innovation and research symposium 1994 [Transportation Research Circular, 1994], is to develop tools to predict the impact of TDM strategies in the future. These tools are necessary for integrating TDM into the transportation planning process and developing realistic expectations. Most previous research on TDM impact evaluation was worksite-based, retrospective, and focused on only one or more aspects of TDM strategies. That research is generally based on survey data with small sample size due to lack of detailed information on TDM programs and promotions and commuter travel behavior patterns, which cast doubts on its findings because of potential small sample bias and self-selection bias. Additionally, the worksite-based approach has several limitations that affect the accuracy and application of analysis results. Based on the Washington State Commute Trip Reduction (CTR) dataset, this dissertation focuses on analyzing the participation rates of compressed work week schedules and telecommuting for the CTR affected employees, modeling the determinants of commuter's compressed work week schedules and telecommuting choices, and analyzing the quantitative impacts of an integrated TDM program on individual commuter's mode choice. The major findings of this dissertation may have important policy implications and help TDM practitioners better understand the effectiveness of the TDM strategies in terms of person trip and vehicle trip reduction. The models developed in this dissertation may be used to evaluate the impacts of an existing TDM program. More importantly, they may be incorporated into the regional transportation model to reflect the TDM impacts in the transportation planning process.

台灣自1993年公佈「有線電視法」後，有線電視產業發展快速，系統業者為因應市場的激烈競爭，紛採取垂直整合、合併或購併方式，致使廠商家數變化異常；同時由於採取整批收費方式，在價格上限管制之下，系統業者對市場具有壟斷力量，莫不提高收費管制上限的水準；而節目與廣告內容在不分級之下，可能影響青少年身心發展，依此多數學者與新聞局企圖引進「分級付費制度」及推出「付費頻道」與「計次付費頻道」以解決上述問題。有關「付費頻道」與「計次付費頻道」之供應，可增加市場服務之多樣性，然消費者的接受意願及真正的偏好。首先，本文應用巢式多項式羅吉特模型探討消費者對「分級付費制度」與現行整批收費方式的選擇意願；其次，再探討消費者選擇「分級付費制度」下，有關「付費頻道」與「計次付費頻道」的選擇意願模型；最後，應用台灣有線電視消費者的問卷資料對上述巢式羅吉特模型進行實證估計，並根據實證結果，嘗試對有線電視業者在提供「付費頻道」與「計次付費頻道」等節目時新服務管理策略的建議。

Em ecologia, o comportamento dos animais é freqüentemente estudado para entender melhor suas preferências por diferentes tipos de alimento e habitat. O presente trabalho esta relacionado a este tópico, dividindo-se em três capítulos. O primeiro capitulo refere-se à estimação da função da probabilidade da seleção de recurso (RSPF) comparado com um modelo de escolha discreta (DCM) com uma escolha, usando as estatísticas qui-quadrado para obter as estimativas. As melhores estimativas foram obtidas pelo método DCM com uma escolha. No entanto, os animais não fazem a sua seleção baseados apenas em uma escolha. Com RSPF, as estimativas de máxima verossimilhança, usadas pela regressão logística ainda não atingiram os objetivos, já que os animais têm mais de uma escolha. R e o software Minitab e a linguagem de programação Fortran foram usados para obter os resultados deste capítulo. No segundo capítulo discutimos mais a verossimilhança do primeiro capítulo. Uma nova verossimilhança para a RSPF é apresentada, a qual considera as unidades usadas e não usadas, e métodos de bootstrapping paramétrico e não paramétrico são usados para estudar o viés e a variância dos estimadores dos parâmetros, usando o programa FORTRAN para obter os resultados. No terceiro capítulo, a nova verossimilhança apresentada no capítulo 2 é usada com um modelo de escolha discreta, para resolver parte do problema apresentado no primeiro capítulo. A estrutura de encaixe é proposta para modelar a seleção de habitat de 28 corujas manchadas (Strix occidentalis), assim como a uma generalização do modelo logit encaixado, usando a maximização da utilidade aleatória e a RSPF aleatória. Métodos de otimização numérica, e o sistema computacional SAS, são usados para estimar os parâmetros de estrutura de encaixe. / In ecology, the behavior of animals is often studied to better understand their preferences for different types of habitat and food. The present work is concerned with this topic. It is divided into three chapters. The first concerns the estimation of a resource selection probability function (RSPF) compared with a discrete choice model (DCM) using chi-squared to obtain estimates. The best estimates were obtained by the DCM method. Nevertheless, animals were not selected based on choice alone. With RSPF, the maximum likelihood estimates used with the logistic regression still did not reach the objectives, since the animals have more than one choice. R and Minitab software and the FORTRAN programming language were used for the computations in this chapter. The second chapter discusses further the likelihood presented in the first chapter. A new likelihood for a RSPF is presented, which takes into account the units used and not used, and parametric and non-parametric bootstrapping are employed to study the bias and variance of parameter estimators, using a FORTRAN program for the calculations. In the third chapter, the new likelihood presented in chapter 2, with a discrete choice model is used to resolve a part of the problem presented in the first chapter. A nested structure is proposed for modelling selection by 28 spotted owls (Strix occidentalis) as well as a generalized nested logit model using random utility maximization and a random RSPF. Numerical optimization methods and the SAS system were employed to estimate the nested structural parameters.

Em ecologia, o comportamento dos animais é freqüentemente estudado para entender melhor suas preferências por diferentes tipos de alimento e habitat. O presente trabalho esta relacionado a este tópico, dividindo-se em três capítulos. O primeiro capitulo refere-se à estimação da função da probabilidade da seleção de recurso (RSPF) comparado com um modelo de escolha discreta (DCM) com uma escolha, usando as estatísticas qui-quadrado para obter as estimativas. As melhores estimativas foram obtidas pelo método DCM com uma escolha. No entanto, os animais não fazem a sua seleção baseados apenas em uma escolha. Com RSPF, as estimativas de máxima verossimilhança, usadas pela regressão logística ainda não atingiram os objetivos, já que os animais têm mais de uma escolha. R e o software Minitab e a linguagem de programação Fortran foram usados para obter os resultados deste capítulo. No segundo capítulo discutimos mais a verossimilhança do primeiro capítulo. Uma nova verossimilhança para a RSPF é apresentada, a qual considera as unidades usadas e não usadas, e métodos de bootstrapping paramétrico e não paramétrico são usados para estudar o viés e a variância dos estimadores dos parâmetros, usando o programa FORTRAN para obter os resultados. No terceiro capítulo, a nova verossimilhança apresentada no capítulo 2 é usada com um modelo de escolha discreta, para resolver parte do problema apresentado no primeiro capítulo. A estrutura de encaixe é proposta para modelar a seleção de habitat de 28 corujas manchadas (Strix occidentalis), assim como a uma generalização do modelo logit encaixado, usando a maximização da utilidade aleatória e a RSPF aleatória. Métodos de otimização numérica, e o sistema computacional SAS, são usados para estimar os parâmetros de estrutura de encaixe. / In ecology, the behavior of animals is often studied to better understand their preferences for different types of habitat and food. The present work is concerned with this topic. It is divided into three chapters. The first concerns the estimation of a resource selection probability function (RSPF) compared with a discrete choice model (DCM) using chi-squared to obtain estimates. The best estimates were obtained by the DCM method. Nevertheless, animals were not selected based on choice alone. With RSPF, the maximum likelihood estimates used with the logistic regression still did not reach the objectives, since the animals have more than one choice. R and Minitab software and the FORTRAN programming language were used for the computations in this chapter. The second chapter discusses further the likelihood presented in the first chapter. A new likelihood for a RSPF is presented, which takes into account the units used and not used, and parametric and non-parametric bootstrapping are employed to study the bias and variance of parameter estimators, using a FORTRAN program for the calculations. In the third chapter, the new likelihood presented in chapter 2, with a discrete choice model is used to resolve a part of the problem presented in the first chapter. A nested structure is proposed for modelling selection by 28 spotted owls (Strix occidentalis) as well as a generalized nested logit model using random utility maximization and a random RSPF. Numerical optimization methods and the SAS system were employed to estimate the nested structural parameters.

Cette thèse s'articule autour de deux thèmes : l'évaluation monétaire des biens environnementaux et l'innovation en environnement. Si ces deux volets sont traités séparément, ils s'attachent toutefois à contribuer à un objectif commun : la lutte contre le changement climatique. Cette thèse se décline en cinq chapitres. Le premier propose une introduction générale, qui présente les deux thèmes développés, ainsi que leur contribution au défi du changement climatique. En attribuant une valeur pécuniaire aux biens environnementaux, l'évaluation monétaire peut servir la décision publique, non seulement lors de la mise en œuvre de projets pro-environnementaux, mais aussi en aidant é évaluer les dommages causés à l'environnement. L'innovation environnementale peut encourager les transferts de technologies et une croissance plus verte, dans une volonté de développement durable. Les chapitres 2 et 3 s'intéressent aux expériences de choix, en vue d'évaluer le consentement-à-payer pour l'amélioration de la qualité de l'eau de rivières. A partir d'une enquête proposant aux résidents de choisir entre différentes options de gestion pour les rivières de leur voisinage, nous montrons dans le chapitre 2 que ces derniers sont disposés à payer pour une meilleure qualité de l'eau. Nous nous apercevons toutefois que plus de 20% des individus de notre échantillon adoptent un comportement de protestation, c'est-à-dire déclarent un consentement-à-payer nul alors même que leur valeur pour l'eau des rivières est positive. Dans le chapitre 3, nous recourons à un modèle logit emboîté, afin de prendre en compte ce type de comportement. Nous obtenons des consentements-à-payer plus élevés, signe que le modèle utilisé est mieux adapté pour traiter des données comportant des zéros de protestation. Les chapitres 4 et 5 étudient les déterminants de l'innovation en environnement. A partir de données sur les dépôts de brevets et de l'enquête d'opinion du forum économique mondial, le chapitre 4 s'intéresse à l'impact de politiques publiques sur l'innovation en matière de technologies propres dans les domaines de l'eau, de l'air et des déchets. Notre analyse met en évidence le rôle positif sur l'innovation en environnement de la capacité d'innovation globale d'un pays et de la rigueur de ses politiques environnementales. Le chapitre 5 étudie l'influence des collaborations pour la publication d'articles scientifiques sur l'innovation en matière d'énergie éolienne. Nous couplons notre base de données sur les brevets avec une base rassemblant de nombreuses références littéraires dans le domaine de la recherche scientifique. Nous montrons que les transferts de connaissance entre les pays membres et non membres de l'OCDE dans le domaine éolien contribuent à améliorer la capacité d'innovation des pays non membres de l'OCDE. / This dissertation is interested in two areas of the environmental economics field: monetary valuation of environmental goods and services and environmental innovation. Even if those two fields are studied separately in this dissertation, they both aim at contributing to a common objective: fight against climate change. This dissertation ranges into five chapters. The first one is a general introduction, which depicts the two fields of the dissertation and their relevance towards climate change. Environmental valuation serves public decision through monetary valuation of environmental goods. This is useful not only for the implementation of projects directed to environmental protection, but also for the quantification of environmental damages. Environmental innovation may encourage technological transfers, but also a greener growth, in a will that our societies develop themselves following a sustainable path. Chapters 2 and 3 are interested in the choice experiments method in order to value local residents’ willingness-to-pay for water quality improvements at a specific river basin in France. Using a choice experiment with different management regimes for the river basin, we find that residents are willing-to-pay for an improved water quality. Despite this positive result, we observe a significant proportion (20%) of protest bids in our sample. Protest bids are respondents that state a zero willingness-to-pay, even though their true value for the good is positive. In order to take into account the existence of protest bids, we estimate a cross-nested logit model in chapter 3. We then obtain larger willingness-to-pay, which proves that the cross-nested logit model best fits the peculiarity of our data. Chapters 4 and 5 try to identify the drivers of environmental innovation. Using world patent data and data from the world economic forum survey, we study the impact of environmental public policies on innovation in clean technologies directed to water and air pollution, and waste. We find that both general innovative capacity and environmental policy stringency have a positive role on environment-related innovation. Chapter 5 looks at the influence of co-authorship of scientific publications on wind energy-related innovation. We use both the world patent database and the “Scopus” database, which contains lots of scientific literature references. We highlight the existence of knowledge spillovers between OECD and NON-OECD countries. Therefore, we show that knowledge transfers, regarding wind energy-related innovation, between OECD and NON-OECD countries contribute to improve NON-OECD countries' innovative capacity.