| Responsible Department | 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) | ||||||||||||||||
| Level of Course | MSc | ||||||||||||||||
| Examination | Final Examination written examination Written Exam in Lecturehall All aids 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: 10 November 2011 | ||||||||||||||||
| Organisation of Teaching | Lectures, Computer Laboratory Work, Group Work | ||||||||||||||||
| Block Placement | Block 1 Week Structure: A | ||||||||||||||||
| Language of Instruction | English | ||||||||||||||||
| Optional Prerequisites | 210005 Statistical Data Analysis 1 290038 Thematic Course: Applied Economic Analysis 290038 can be replaced with equivalent course | ||||||||||||||||
| Restrictions | None | ||||||||||||||||
| Course Content | |||||||||||||||||
| 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 the appropriate choice of estimator given certain types of data such as panel data, data with a binary dependent variable and other types of limited dependent variables. - Reflect about econometric problems and solutions in relation to endogenous regressors. Skills and competencies: - Understand the concepts of consistency, unbiasedness and asymptotic normality of estimators. - Understand the concept of prediction, and understand that the calculation of expected values varies between models. - Understand the concept of endogeneity - Discuss the results of econometric analyses based on model assumptions and limitations. - Interpret outcomes of econometric analyses and draw appropriate conclusions. - Formulate, estimate and interpret results of multiple linear regression models. - Formulate, estimate and interpret results of econometric models for binary dependent variables. - Formulate, estimate and interpret results of econometric models for corner solution responses. (Only corners eq. to zero) - Formulate, estimate and interpret results of econometric models for count data. - Formulate, estimate and interpret results of linear econometric models for panel data. - Formulate, estimate and interpret results of linear econometric models with endogenous regressors. | |||||||||||||||||
| Course Literature | |||||||||||||||||
| - Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach, South-Western. Software: R | |||||||||||||||||
| Course Coordinator | |||||||||||||||||
| Sinne Smed, ss@foi.dk, Institute of Food and Resource Economics/Consumption, Health and Ethics Unit, Phone: 353-36849 Laura Mørch Andersen, la@foi.dk, Institute of Food and Resource Economics/Consumption, Health and Ethics Unit, Phone: 353-31023 | |||||||||||||||||
| Study Board | |||||||||||||||||
| Study Committee NSN | |||||||||||||||||
| Work Load | |||||||||||||||||
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