This paper examines the IPO pricing processes of two different markets, each of which employs bookbuilding methods for marketing the IPO shares. For each market we investigate two questions: Does bookbuilding serve mainly as a method for distributing shares, or also as a means for gathering information? And, to what extent do underwriters respond in IPO pricing to any information that they obtain through bookbuilding? We find that a direct comparison of these two markets sheds light on the bookbuilding process in each. For Nasdaq IPOs we find evidence consistent with informational rents being earned by investors for providing information during bookbuilding. On the Neuer Markt there is no such evidence. Instead, we find evidence consistent with rents being paid for information that helps underwriters to set indicative price ranges prior to bookbuilding. The two markets differ further in how underwriters respond to information in pricing IPOs. For the Neuer Markt, this response is severly constrained since underwriters do not set prices above the price ranges. We estimate the total cost of this "restriction" to be approximately one billion Euros for our sample of IPOs. While there are no such apparent restrictions for Nasdaq, we show that also on this market IPO prices are "sticky" in that underwriters respond less to information received later in the pricing process. / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

La théorie économique conduit à supposer que l'assurance santé accroît les consommations médicales en générant du risque moral ex-post, c'est-à-dire l'achat par les individus de soins dont la valeur est faible au regard de leur coût total. Certains économistes soulignent que tout ou partie de ce surplus de consommation peut résulter également d'une solvabilisation de la demande de soins du fait des remboursements, traduisant ainsi un meilleur accès aux soins. Comprendre lequel de ces effets prédomine représente un enjeu important en termes d'équité et d'efficience du système de santé. Cette thèse vise à mesurer l'ampleur de l'effet de l'assurance complémentaire santé sur les consommations médicales en France et à en comprendre la nature en s'appuyant sur trois articles. Le premier article analyse l'effet du fait d'être couvert par une complémentaire santé sur le recours aux médecins, le second évalue l'impact de la CMU-C sur les consommations médicales de ses bénéficiaires, enfin le troisième étudie l'effet d'une surcomplémentaire santé permettant de compléter les remboursements du contrat de base d'une mutuelle de fonctionnaire. En se focalisant sur l'assurance complémentaire et surcomplémentaire, ces articles permettent d'étudier l'effet d'une variation à la marge du niveau de couverture sur différentes catégories de population.

An intertemporal decision model is presented in which subjects save less for retirement than the permanent income hypothesis predicts, signaling optimistic income prospects (and therefore high latent productivity) to possible partners in productive exchanges. Competitive conspicuous consumption (CCC), as it is called, is a self-defeating strategy, if followed by subjects simultaneously. Egalitarian policies (which have to be distinguished from pure welfare policies) tend to lower excess consumption. The CCC-hypothesis justifies a cross-sectional Keynesian consumption function with declining marginal propensities to consume. It is argued that the cultural context is highly relevant to the scope and importance of CCC. (author's abstract) / Series: Working Papers Series "Growth and Employment in Europe: Sustainability and Competitiveness"

Bets are analyzed using an intertemporal, state dependent expected utility model with non-linear probability weighting. Gamblers face a tradeoff between long-run expected utility from wealth and the short-run and fading emotional utility from gambling. Different wager tax bets, including lotto, are compared in various settings (fair bet versus monopoly). Reaction patterns are analyzed with respect to tax rates, the price of tickets, jackpots and the 'scale' of the gamble. It is shown that optimal tax rates are higher for larger lotto communities, jackpots induce overshooting 'bubbles' and taxes on lotto and fix-prize gambles are regressive. (author's abstract) / Series: Working Papers Series "Growth and Employment in Europe: Sustainability and Competitiveness"

This paper considers empirically whether preference-based (empirical) power indices differ significantly from their preference-free (theoretical) counterparts. Drawing on the to date most comprehensive sample of EU Council votes (1993-2011), we use item-response models to estimate the EU27 member states' preferences (ideal points) in a one-dimensional policy space. Their posterior distributions are then used for the calculation of empirical versions of the Banzhaf, the Shapley-Shubik, and other power indices, invoking the concepts of connected coalitions and bloc voting. Our ideal point estimates point to significant differences in member states' preferences, which often translate into significant differences of empirical (versus theoretical) power under individual voting. However, the formation of voting blocs appears to offset differences in countries' ideal points as the bloc size grows. Interestingly, this result does not hold up for the Shapley-Shubik index, whose empirical variant differs from the theoretical one both under individual and bloc voting. (authors' abstract) / Series: Department of Economics Working Paper Series

This paper investigates the relationship between economic development and the average Level of education as well as the degree of inequality in the distribution of education, respectively. Approaching this question in a dynamic panel over 60 years and 143 countries with a system GMM estimator reveals strong support for the inclusion of an interaction term between the education Gini coeffcient and average years of schooling, indicating the existence of nonlinear effects. We contribute to the literature in providing strong evidence that more schooling is good for economic growth - irrespective of its distribution - but that the coeffcient is variable and substantially declining in inequality. On the other hand, inequality is positively related to economic growth for low average levels of education, whereas highly educated countries exhibit a statistically insignificant negative relationship between inequality and economic growth. From this it follows that at least a slight increase in the degree of inequality is necessary in order to haul initially poor and low educated economies out of the poverty trap. However, as economies become educated, the effect of educational inequality mainly works indirectly. Accordingly, countries that show greater educational inequality experience lower macro economic returns to education than more equal economies, on average. (authors' abstract) / Series: Department of Economics Working Paper Series

We propose the use of methods based on the Shapley value to assess the fact that private returns to lower levels of educational attainment should incorporate prospective returns from higher attainment levels, since achieving primary education is a necessary condition to enter secondary and tertiary educational levels. We apply the proposed adjustment to a global dataset of private returns to different educational attainment levels and find that the corrected returns to education imply a large shift of returns from tertiary to primary schooling in countries at all income levels. (authors' abstract) / Series: Department of Economics Working Paper Series

Bayesian Model Averaging (BMA) is a common econometric tool to assess the uncertainty regarding model specification and parameter inference and is widely applied in fields where no strong theoretical guidelines are present. Its major advantage over single-equation models is the combination of evidence from a large number of specifications. The three papers included in this thesis all investigate model structures in the BMA model space. The first contribution evaluates how priors can be chosen to enforce model structures in the presence of interactions terms and multicollinearity. This is linked to a discussion in the Journal of Applied Econometrics regarding the question whether being a Sub-Saharan African country makes a difference for growth modelling. The second essay is concerned with clusters of different models in the model space. We apply Latent Class Analysis to the set of sampled models from BMA and identify different subsets (kinds of) models for two well-known growth data sets. The last paper focuses on the application of "jointness", which tries to find bivariate relationships between regressors in BMA. Accordingly this approach attempts to identify substitutes and complements by linking the econometric discussion on this subject to the field of Machine Learning.(author's abstract)

Spatial interaction models represent a class of models that are used for modeling origin destination flow data. The interest in such models is motivated by the need to understand and explain the flows of tangible entities such as persons or commodities or intangible ones such as capital, information or knowledge between regions. The focus here is on the log-normal version of the model. In this context, we consider spatial econometric specifications that can be used to accommodate two types of dependence scenarios, one involving endogenous interaction and the other exogenous interaction. These model specifications replace the conventional assumption of independence between origin-destination-flows with formal approaches that allow for two different types of spatial dependence in flow magnitudes. (authors' abstract) / Series: Working Papers in Regional Science

This article considers three standard asset pricing models with adaptive agents and stochastic dividends. The models only differ in the parameters to be estimated. We assume that only limited information is used to construct estimators. Therefore, parameters are not estimated consistently. More precisely, we assume that the parameters are estimated by exponential smoothing, where past parameters are down-weighted and the weight of recent observations does not decrease with time. This situation is familiar for applications in finance. Even if time series of volatile stocks or bonds are available for a long time, only recent data is used in the analysis. In this situation the prices do not converge and remain a random variable. This raises the question how to describe equilibrium behavior with stochastic prices. However, prices can reveal properties such as ergodicity, such that the law of the price process converges to a stationary law, which provides a natural and useful extension of the idea of equilibrium behavior of an economic system for a stochastic setup. It is this implied law of the price process that we investigate in this paper. We provide conditions for the ergodicity and analyze the stationary distribution. (author's abstract) / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"