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To teach students a variety of techniques: regression analysis with cross sectional data, regression analysis with time series data, analysis of panel data and unit roots & cointegration. Students must understand these concepts, analyse and interpret computer results and must be able to work with the programme R (including R-studio) to attain these results. Students have to write reports on their findings. Mathematical concepts, primarily differentiation, will be reviewed as well (these concepts are needed to determine whether a linear function or a quadratic or other function makes more sense).
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Mr. Buijs will give a mathematics rehearsal the first week of the course. In two lectures, the knowledge of mathematics economics students need in their study is refreshed and tested.
In Week 2, Mr. Schilpzand provides a refresher of the Ordinary Least Squares (OLS) method, which is focused on the application of OLS to cross-sectional data (collected at one moment in time). In the computer instruction session, the students learn to work with R syntax files. They have to apply this knowledge in a cross-national analysis.
In Week 3, Mr. Schilpzand explains dummy variables in an OLS regression and the application of interaction analysis. During the computer instruction sessions, the students work on an assignment in which these techniques are applied.
In the Week 4 and 5 of the course, Mr. Buijs will discuss regression models for time series analysis, based on data from several moments in time. During the computer instruction sessions, a time series assignment will be made.
In Week 6, Mr. Buijs will continue with time series analysis by paying attention to the issue of stationarity of series and whether series are cointegrated. In the computer instruction sessions, an assignment has to be made in which stationarity and cointegration of series will be researched.
Week 7 focuses on the analysis of panel data. Mr. Schilpzand will discuss different forms of panel data and the application of several techniques for panel analysis. During the computer instruction session, panel data of firms are analysed.
This course is accessible only for students in premaster's students and the programme Law and Economics.
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| Academic Skills, Mathematics and stat (BIN 119 A), alternatively knowledge of Statistics and Mathematics is highly recommended. |
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| Written exam and multiple assignments. The assesment of the individual parts is described in the Course manual under the heading Assesment.
Partial results from previous years stay valid, but strict criteria apply. Please contact the course coordinator. |
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