 Kontrolliert und repräsentativ: Beispiele zur Komplementarität von Labor- und FelddatenThomas Dohmen, Armin Falk and Uwe Sunde Munich Reprints in Economics from University of Munich, Department of Economics Abstract: Abstract In this paper we discuss the complementarity of laboratory and field data. Experiments offer highly controlled environments that allow precise testing and causal inferences. Survey and field data on the other hand provide information on large and representative samples of people interacting in their natural environment. We discuss several concrete examples how to combine lab and field data and how to exploit potential complementarities. One example describes an experiment, which is run with a representative sample to guarantee control and representativeness. The second example is based on the idea to experimentally validate survey instruments to ensure behavioral validity of instruments that can be used in existing panel data sets. The third example describes the possibility to use the lab to identify causal effects, which are tested in large data sets. Topics discussed in this paper comprise the relation of cognitive skills (IQ) and risk and time preferences, determinants, prevalence and economic consequences of risk attitudes, selection into incentive schemes and the impact of unfair pay on stress. 1 Date: 2009 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:lmu:muenar:20047 Access Statistics for this paper More papers in Munich Reprints in Economics from University of Munich, Department of Economics Ludwigstr. 28, 80539 Munich, Germany. Contact information at EDIRC. |
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