|Title / Titel||Analysis of Micro Data: Theory and Applications|
|Abstract (PDF, 14 KB)|
|Summary / Zusammenfassung||This research project is devoted to the special requirements of methodology when analyzing data at the micro-level, such as individual or firm data. The use of micro data in the analysis of decision making by consumers, firms, and political authorities has become increasingly important. For example, super market scanner data are used to assess the effectiveness of a marketing campaign. Credit data are used to predict the future default risk of an applicant. Administrative data collected by employment agencies allow to evaluate the success of a training program for unemployed workers.
In many applications, the data are qualitative and discrete, in others, the sample is not drawn randomly from the population of interest. Hence, methods are needed that go beyond the standard linear regression model. We describe and analyze models that take into account the special features of micro data and illustrate the methods in many examples.
|Publications / Publikationen||Winkelmann, R. and S. Boes (2006) Analysis of Microdata, Springer: Heidelberg, New York.|
|Keywords / Suchbegriffe||Microeconometrics, discrete response variables, limited dependent variables, count data models, duration analysis, data handling and description.|
|Project leadership and contacts /
Projektleitung und Kontakte
|Funding source(s) /
|Universität Zürich (position pursuing an academic career)
|Duration of Project / Projektdauer||Feb 2004 to Oct 2008|