| Institute of Food and Resource Economics | |||||||||||||||||
| Earliest Possible Year | MSc. 1 year to Post experience Master´s Programme | ||||||||||||||||
| Duration | One block | ||||||||||||||||
| Credits | 7.5 (ECTS) | ||||||||||||||||
| Course Level | MSc | ||||||||||||||||
| Examination | Final Examination written examination Written Exam in Lecturehall No aid allowed Description of Examination: Final written exam (4 hours) consisting of questions on the theoretical material covered in the lectures Written Report: students will work on the completion of applied case studies where econometric analysis has to be used to analyse different data problems and assess the quality of the results. Weight: 50% final written exam 50% written report 7-point scale, internal examiner Dates of Exam: 28 January 2010 | ||||||||||||||||
| Organisation of Teaching | Lectures, Computer Laboratory Work, Group Work | ||||||||||||||||
| Block Placement | Block 2 Week Structure: C | ||||||||||||||||
| Teaching Language | English | ||||||||||||||||
| Optional Prerequisites | 210005 Statistical Data Analysis 1 290038 Thematic Course: Applied Economic Analysis 290038 can be replaced with equivalent course | ||||||||||||||||
| Restrictions | None | ||||||||||||||||
| Course Contents | |||||||||||||||||
| This course aims at providing the student basic knowledge about relatively advanced regression models and methods that are relevant to applied economists. With a mix of econometric theory and applications the course will develop the student's skills to conduct own empirical research projects. | |||||||||||||||||
| Teaching And Learning Methods | |||||||||||||||||
| lectures, own reading, exercises, computer laboratory work, and independent work with case-reports | |||||||||||||||||
| Learning Outcome | |||||||||||||||||
| The main objective of the course is to provide an introduction to the more advanced themes in econometric modeling with an emphasis on application of estimation techniques and statistical testing. After completing the course it is expected that the student is able to: Knowledge: - Reflect about econometric problems and solutions in relation to endogenous regressors. - Reflect about the appropriate choice of estimator given certain types of data such as time series data, panel data, and data with a binary dependent variable. Skills: - Analyse consistency and asymptotic normality of estimators in certain econometric models. Competences: - Formulate and estimate linear econometric models with endogenous regressors. - Formulate and estimate linear econometric models for panel data. - Formulate and estimate econometric models for binary dependent variables. - Interpret outcomes of econometric analyses and draw appropriate conclusions. - Discuss the results of econometric analyses based on model assumptions and limitations. | |||||||||||||||||
| Course Litterature | |||||||||||||||||
| - Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach, South-Western. Software: R | |||||||||||||||||
| Course Coordinator | |||||||||||||||||
| Henrik Hansen, henrik.hansen@foi.dk, Institute of Food and Resource Economics/International Economics and Policy Division, Phone: 35336840 | |||||||||||||||||
| Study Board | |||||||||||||||||
| Study Committee NSN | |||||||||||||||||
| Course Scope | |||||||||||||||||
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