[{"Course code":"P000133","Version":1,"English name":"Datasets in Agricultural Economics","Higher education credits":5.0,"Syllabus":"Finalized by: Thomas Slijper, 2025-03-26","Valid from":"VT2025","Syllabus approved":"2025-03-26","Level within study regulation":"Third cycle","Grading scale":"Pass \/ Failed","Language":"Swedish","Entry requirements":"Accepted as a PhD student","Objectives":"Upon completion of this course, the students will be able to:\n\n\n- Discuss trade-offs between collecting primary data and using secondary datasets.\n- Identify major secondary datasets in agricultural economics and understand how to access those datasets.\n- Develop proficiency in data cleaning and data merging techniques.\n- Handle missing values and attrition in secondary datasets.\n- Create and analyse secondary datasets in agricultural economics using recent methodological advances","Content":"- Assess the pros and cons of primary data collection versus using existing secondary datasets.\n- Discuss ethical considerations and principles in data management.\n- Present an overview of secondary datasets applicable to agricultural economics across individual, farm, and regional levels (e.g. the Farm Accountancy Data Network (FADN) or Statistics Sweden) and understand their applications in agricultural economics.\n- Understand the principles of cleaning and combining datasets (incl. R and\/or Stata code).\n- Integrate datasets by merging climate (e.g., Copernicus E-OBS) and social datasets (e.g., European Social Survey) with existing agricultural datasets to assess sustainable economic development.\n- Manage missing data and attrition in panel datasets.\n- Analyse secondary datasets using recent developments in economic performance measurement (e.g. efficiency and productivity analysis or resilience)","Examination formats":"- Students (in groups of max 4 students) solve three problem sets on (i) data management and principles, (ii) cleaning and combining datasets, and (iii) applications in agricultural economics.\n- Students present their individual research design and required datasets with a focus on agricultural economics for sustainable development. \r\n- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.\r\n\r\n- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.\r\n\r\n- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.\r\n\r\n- For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.\r\n","Organisation":[{"code":"510","Organisation":"Department of Economics"}],"Other information":"\r\n- The right to participate in teaching and\/or supervision only applies for the course instance the student was admitted to and registered on.\r\n\r\n- If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.\r\n"}]