Daniel Schunk | Munich Center for the Economics of Aging - MEA
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Prof. Dr. Daniel Schunk

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Adresse:
Max Planck Institut für Sozialrecht und Sozialpolitik
Munich Center for the Economics of Aging (MEA) und Survey of Health, Ageing and Retirement in Europe (SHARE)
Amalienstrasse 33, 80799 Muenchen

Weiterführende Informationen

  • Publikationen
  • Lehre

In der Datenbank sind Publikationen vollständig erst seit 2003 erfasst. Gegebenenfalls erschienene ältere Publikationen sind im Download-PDF auf dieser Seite enthalten.

Publikationen

Zeitschriftenartikel

Schunk, Daniel (2009): "What Determines the Savings Behavior of German Households? An Examination of Saving Motives and Saving Decisions". In: Journal of Economics and Statistics, 229, S. 467 - 491.
Börsch-Supan, Axel; Reil-Held, Anette; Schunk, Daniel (2008): "Saving incentives, old-age provision and displacement effects: Evidence from the recent German pension reform". In: Journal of Pension Economics and Finance, 7, S. 295 - 319.
Schunk, Daniel (2007): "A Markov Chain Monte Carlo Algorithm for Multiple Imputation in Large Surveys". In: Advances in Statistical Analysis, 92, S. 101 - 114.
Betsch, Cornelia; Schunk, Daniel (2006): "Explaining heterogeneity in utility functions by individual differences in preferred decision modes". In: Journal of Economic Psychology, 27, S. 386 - 401.
Schunk, Daniel (2005): "Märkte als Komplexe Adaptive Systeme: Eine Einführung in Evolutorische Modellierungsansätze". In: Wirtschaftswissenschaftliches Studium, 2005, S. 409 - 413.
Deal, Brian; Schunk, Daniel (2004): "Spatial Dynamic Modeling and Urban Land Use Transformation: A Simulation Approach to Assessing the Costs of Urban Sprawl". In: Ecological Economics, 51, S. 79 - 95.
Schunk, Daniel; Hannon, Bruce (2004): "Impacts of a Carbon Tax Policy on Illinois Grain Farms ? A Dynamic Simulation Study". In: Environmental Economics and Policy Studies, 6, S. 221 - 247.

Monographie

Börsch-Supan, Axel; Coppola, Michela; Essig, Lothar; Eymann, Angelika; Schunk, Daniel (2009): The German SAVE Study: Design and Results (Vol. MEA-Studie Nr. 6)..

Buchbeitrag

Schunk, Daniel (2007): "Sparen und Vermögensbildung in Deutschland", In: Engels, D. ; Ridder( ed. ), Weiterentwicklung der Reichtumsberichterstattung der Bundesregierung, ISG/DIW/BMAS, Köln, pp. 53 - 68.

MEA Discussion Paper

136-2007
Börsch-Supan, Axel; Reil-Held, Anette; Schunk, Daniel: "The savings behaviour of German households: First Experiences with state promoted private pensions".
114-2006
Börsch-Supan, Axel; Reil-Held, Anette; Schunk, Daniel: "Das Sparverhalten deutscher Haushalte: Erste Erfahrungen mit der Riester-Rente".

Discussion Paper/Working Paper

Schunk, Daniel (2007): An Iterative Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey, Mimeo, Universitaet Mannheim.
Schunk, Daniel; Houser, Daniel (2007): Fairness, Competition and Gender: Evidence from German Schools, MEA Mannheim.
Houser, Daniel; Schunk, Daniel; Winter, Joachim (2007): Trust Games Measure Trust, MEA-Discussion Paper 112-06, MEA Mannheim.
Koch, Christopher; Schunk, Daniel (2007): The case for limited auditor liability - Experimental evidence, MEA Mannheim.
Schunk, Daniel (2006): Why Do Germans Save? An Examination of Savings Motives and Savings Decisions of Private German Households, Mimeo. Universität Mannheim..
Schunk, Daniel (2005): Sequential decision behavior with reference point preferences: Theory and experimental evidence, SFB-Working Paper 05-12.
Schunk, Daniel; Winter, Joachim (2004): The relationship between risk attitudes and heuristics in search tasks: A laboratory experiment, SFB-Working Paper 04-23.

Conference Article

Franz, Rothlauf; Jella, Pfeiffer; Schunk, Daniel (2005): "Classification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms". In: Beyer, H.G. et al. (eds.): Proceedings of the Genetic and Evolutionary Computation Conference 2005, S. 2021 - 2028.
Bojer, Thorsten; Hammer, Barbara; Schunk, Daniel; Tluk von Toschanowitz, Katharina (2001): "Relevance determination in learning vector quantization". In: European Symposium on Artificial Neural Networks 2001, S. 271 - 276.