Sie sind hier:



Übersicht der Forschungskolloquien

Im Rahmen der Fakultät Wirtschaftswissenschaften werden zu unterschiedlichen Forschungsthemen verschiedene Forschungskolloquien angeboten. Auf den jeweiligen Webseiten findet sich dann auch jeweils eine kurze Beschreibung, die Ansprechpartner und das Veranstaltungsarchiv:

Aktuelle Termine

In der unten stehenden, kontinuierlich erweiterten Tabelle finden sich die aktuellen Termine aller Forschungskolloquien für das laufende Semester. Die Ansprechpartner für die einzelnen Kolloquien sind auf den jeweiligen Kolloquienseiten angegeben, die auch über die Logos anwählbar sind.

Stand: 2019-06-06

Kolloquium Termin Referent/in Thema
Logo WiWi Volkswirtschaftliches Kolloquium 2019-06-24
M 127
Dr. Bettina Siflinger
(Tilburg University)

Specification and Estimation of the Birth Weight Production Function: Understanding the Effects of Inputs from the Health Sectorasing Unbiased Dynamic Contests

While economists have studied the effects of adverse events during pregnancy (van den Berg, 2006; Currie et al., 2009; Almond and Currie, 2010; Bleakley, 2010), their analyses does not inform policymakers on developing policies that could improve fetal development. Whereas the literature on the consequences of birth weight is enormous (Almond et al., 2005; Black et al., 2007; Currie, 2009, 2011), only a handful of studies consider estimating parameters of a structural production function of birth weight.
In this paper we construct a general estimable model of the technology underlying birth weight production that can be used to investigate the importance of different types of health encounters to the formation of birth weight. We draw on individual inpatient and outpatient records of the population in the Swedish province of Skåne providing us with detailed information on each health service encounter for a 10-year period. In addition, we merge the Swedish population censuses as well as tax and benefit records. As a result, we obtain the entire health and socioeconomic history of the mother prior to conception up to child birth.
We then apply of the methodology developed in Cunha et al. (2010) and Agostinelli and Wiswall (2018) to understand the productivity of medical care at different points of pregnancy. The economic model considers a foetus in three trimesters of in utero development. A child’s birth weight is produced by a CES production technology, which has the interpretation of a skill multiplier in Cunha et al. (2010) and here explains how medical inputs between the trimesters are linked. We refer to it as the health sector input multiplier in the production of birth weight. Such a production function not only allows the productivity of early investments in the first trimester to directly boost child birth weight, but via the health sector input multiplier it also raises the productivity of second trimester investments. This channel has been implicitly ignored in the existing literature that examines birth weight production. The key contribution of our analysis is that we will estimate this parameter, rather than assigning a value to it (Cunha and Heckman, 2007, 2008).
Gaining an estimate of the elasticity of substitution parameter is a crucial piece of evidence for policymakers, allowing identifying the most critical period for subsequent development. With these structural estimates, we paln to conduct a series of policy simulations. These experiments will allow us to determine for different subgroups of mothers defined on the basis of their predetermined characteristics (e.g. age, income, education), which pathway of health sector investments would generate healthiest in utero development. After all, this subgroup analysis can provide additional policy relevant results.

Logo WiWi Volkswirtschaftliches Kolloquium 2019-05-27
M 127
Marco Serena, Ph.D.
(Max-Planck-Institut für Steuerrecht
und Öffentliche Finanzen, München)

Biasing Unbiased Dynamic Contests

We consider a best-of-three Tullock contest between two ex-ante identical players. An effort-maximizing designer commits to a vector of player-specific biases (advantages or disadvantages). When the designer can choose victory-dependent biases (i.e., the biases depend on the record of matches won by players), the effort-maximizing biases eliminate the discouragement effect, leaving players equally likely to win each match and the overall contest. This is in contrast with the common „favor-the-leader“ result in the literature. Instead, when the designer can only choose victory-independent biases, the effort-maximizing biases leave players unequally likely to win each match and the overall contest. The appeal of this result comes from the players being ex-ante identical; thus, it challenges the conventional wisdom of the optimality of unbiased contests. This result also has an applied interest, as it shows that alternating biases, as when teams alternate home and away matches, may increase total effort as opposed to an unbiased contest. This result holds in Tullock contests and all-pay auctions, as well as under maximization of total effort and winner‘s effort.

Logo Kolloquium "Optimierung und Operations Research" 2019-04-17
M 614
Prof. Dr. Jörg Fliege
(University of Southampton)

Optimisation in Space: Problems in Spacecraft Trajectory Optimisation

In recent years, spacecraft navigation and control has achieved astonishing feats. As a recent example, the journey of ESA's Rosetta craft through the inner Solar System lasted ten years and covered 6.4 billion km until the lander Philae landed on comet 67P in November 2014. Likewise, the Japanese craft Hayabusa2 will fly 5.4 billion kilometers within six years in order to return samples from the asteroid Ryugu to Earth. In this talk, we highlight some of the difficulties of planning corresponding flight paths of future missions in an optimal fashion, present some of the underlying mathematical models, and discuss methods from mathematical optimization that help to attain such amazing accomplishments.



Dekan WiWi
Tel.: 0231 755-5914