30050 - APPLICATIONS FOR ECONOMICS, MANAGEMENT AND FINANCE
BIEMF
Course taught in English
The purpose of the course is to enable students to structure and conduct autonomously a research project based on the analysis of data sets concerning business, finance, economics and in general the social sciences. The course presents a set of tools with an applied perspective, providing the methodological knowledge that is necessary to conduct such projects with a fair level of competence and with the ability to choose appropriate statistical methods for various problems. The course gives support for the use of the software program SPSS, a widely used software package in the social sciences, though students are free to use other softwares.
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Introduction to applied research, research design, research question, causality
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Sampling and data sources, finding data for research projects
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Regression analysis: The simple one regressor case, multivariate regression, assumptions and properties, violation of assumptions and remedies, time series analysis and seasonality.
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One and two factors ANOVA
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Factor analysis: model, extraction, rotation, interpretation
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Scale construction and evaluation: reliability analysis and composite scores
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Cluster Analysis
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Regression analysis revisited: regression analysis in combination with factor analysis and cluster analysis, binary response models
The written exam makes up 70% of the grade and the project 30%. The exam is written and lasts two hours.
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P. Newbold, W.L. Carlson, B. Thorne, Statistics for Business and Economics and Student CD, 6/E, Prentice Hall (International Edition), 2007. For regression and ANOVA.
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Lecture notes (sampling, data sources, research design, factor analysis, scale reliability and cluster analysis)