| 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 and oral examination Written Exam in Lecturehall No aid allowed Description of Examination: Final written exam (two hours): consisting of questions on the theoretical material covered in the lectures Written Report: students will work individually on the completion of an applied case study 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: 24 January 2009 | ||||||||||||||||
| 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 | ||||||||||||||||
| Mandatory Prerequisites | 290038 Thematic Course: Applied Economic Analysis Either 290038 or an 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 the case-report | |||||||||||||||||
| 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 the appropriate choice of estimator given certain types of data such as time series data, panel data, and data with a binary dependent variable. - Reflect about econometric problems and solutions in relation to endogenous regressors. Skills: - Analyse consistency and asymptotic normality of estimators in certain econometric models. Competences: - Formulate and estimate econometric models based on different data sets such as cross-sections, time series and panel data. - Interpret outcomes of econometric analyses and draw appropriate conclusions. - Discuss the results of econometric analyses based on model assumptions and limitations. | |||||||||||||||||
| Course Litterature | |||||||||||||||||
| - James H. Stock and Mark W. Watson. Introduction to Econometrics. Addison Wesley, 2003 - Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach, Third Edition. Thomson South-Western, 2006. - Jeffrey M. Wooldridge. Econometric Analysis of Cross Section and Panel Data. The MIT Press, 2002. Software: R, STATA | |||||||||||||||||
| Course Coordinator | |||||||||||||||||
| Lartey Lawson, law@foi.dk, Institute of Food and Resource Economics/Production and Technology Division, Phone: 35336884 | |||||||||||||||||
| Study Board | |||||||||||||||||
| Study Committee NSN | |||||||||||||||||
| Course Scope | |||||||||||||||||
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