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Institution

University of Mannheim

EducationMannheim, Germany
About: University of Mannheim is a education organization based out in Mannheim, Germany. It is known for research contribution in the topics: Context (language use) & Politics. The organization has 4448 authors who have published 12918 publications receiving 446557 citations. The organization is also known as: Uni Mannheim & UMA.


Papers
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Journal ArticleDOI
TL;DR: An energy based approach to estimate a dense disparity map from a set of two weakly calibrated stereoscopic images while preserving its discontinuities resulting from image boundaries using an energy minimization approach.

184 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the effect of sunk costs and, in particular, market size on entry and exit rates, and hence on the age distribution of firms in hair salons in Sweden.
Abstract: This paper is motivated by the empirical regularity that industries differ greatly in the level of firm turnover, and that entry and exit rates are positively correlated across industries. Our objective is to investigate the effect of sunk costs and, in particular, market size on entry and exit rates, and hence on the age distribution of firms. We analyze a stochastic dynamic model of a monopolistically competitive industry. Each firm's efficiency is assumed to follow a Markov process. We show existence and uniqueness of a stationary equilibrium with simultaneous entry and exit: efficient firms survive while inefficient ones leave the market and are replaced by new entrants. We perform comparative dynamics with respect to the level of sunk costs: entry costs are negatively and fixed production costs positively related to entry and exit rates. A central empirical prediction of the model is that the level of firm turnover is increasing in market size. The intuition is as follows. In larger markets, price-cost margins are smaller since the number of active firms is larger. This implies that the marginal surviving firm has to be more efficient than in smaller markets. Hence, in larger markets, the expected life span of firms is shorter, and the age distribution of firms is first-order stochastically dominated by that in smaller markets. In an extension of the model with time-varying market size, we explore the comovements between market size and entry and exit rates. It is shown that both entry and exit rates tend to rise over time in growing markets. In the empirical part, the prediction on market size and firm turnover is tested on industries where firms compete in well-defined geographical markets of different sizes. Using data on hair salons in Sweden, we show that an increase in market size or fixed costs shifts the age distribution of firms towards younger firms, as predicted by the model.

183 citations

Journal ArticleDOI
TL;DR: The authors developed an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes between the jump and continuous-time components of price movements using nonparametric realized variation and Bipower variation measures constructed from high-frequency intraday data.

183 citations

Book ChapterDOI
13 Sep 2010
TL;DR: This work considers a collection of related multiparty computation protocols that provide core operations for secure integer and fixed-point computation and presents techniques and building blocks that allow to improve the efficiency of these protocols, in order to meet the performance requirements of a broader range of applications.
Abstract: We consider a collection of related multiparty computation protocols that provide core operations for secure integer and fixed-point computation. The higher-level protocols offer integer truncation and comparison, which are typically the main performance bottlenecks in complex applications. We present techniques and building blocks that allow to improve the efficiency of these protocols, in order to meet the performance requirements of a broader range of applications. The protocols can be constructed using different secure computation methods. We focus on solutions for multiparty computation using secret sharing.

183 citations

Journal ArticleDOI
TL;DR: The majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent.
Abstract: Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR ,60ml/min/1.73m 2 at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p=4.1e-9 in UMOD to p=0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR=0.92, p=0.04) and GCKR (OR=0.93, p=0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.

183 citations


Authors

Showing all 4522 results

NameH-indexPapersCitations
Andreas Kugel12891075529
Jürgen Rehm1261132116037
Norbert Schwarz11748871008
Andreas Hochhaus11792368685
Barry Eichengreen11694951073
Herta Flor11263848175
Eberhard Ritz111110961530
Marcella Rietschel11076565547
Andreas Meyer-Lindenberg10753444592
Daniel Cremers9965544957
Thomas Brox9932994431
Miles Hewstone8841826350
Tobias Banaschewski8569231686
Andreas Herrmann8276125274
Axel Dreher7835020081
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202337
2022138
2021827
2020747
2019710
2018620