Please note: the information in the course manual is binding.
By the end of the course, students will be capable of:
• understanding and conducting basic field research methods;
• understanding spatial econometric analyses and performing basic spatial econometrics;
• critically ascertaining the need for spatial econometric methods;
• presenting results attractively yet academically correct on a poster;
• gathering and checking data from key statistical bureaus;
• reflecting upon the proper choice of method for a research project in economics and geography.
Over the past decades, several new methods have come up in regional science, some of which are directly related to theories, others to sheer computational power and mathematics. The debate between qualitative and case-study-based methods on the one hand, and quantitative analyses on the other also keeps raging on. We will cover three key methodological areas.|
Firstly, we cover field research methods: interviewing, gathering field observations (connected to an excursion), and surveying.
Secondly, we study the need for and use of spatial econometrics. This means we learn how to include space in standard econometric modelling in R: using spatial econometrics, we can see if phenomena vary over space, and whether they influence each other in space.
Thirdly, we have a wider debate on the appropriate use of methods and their possibilities, and we will look at several work-horse tools in the economic geographer’s toolkit. We discuss the merits of qualitative and quantitative methods, and spend three lectures on specific methods that are underrepresented in the programme as a whole, but which you will still encounter occur now and them – perhaps in your thesis or another research project, perhaps as a consumer of scientific research. You can suggest e cover whatever methods you would want to be discussed, as long as they’re not too obscure. If no requests are made, we look at panel data, shift-share analysis, gravity modelling, and survival analysis.
Finally, there is a guest lecture on data gathering handling and visualization. Throughout the course, you will work on a data collection assignment, which results in a paper.
|Je moet voldoen aan de volgende eisen|
- Ingeschreven voor één van de volgende opleidingen
- Economics and Business Economics
- Economie en bedrijfseconomie
Voorkennis kan worden opgedaan met
|This course is for students of the degree programme Economics and Business Economics. If you are enrolled in a different degree programme, you are invited to contact the course coordinator, who may allow you enter the course – however be aware that the space is limited.|
In particular, you should have basic econometric skills (regression, panel data, time lags) and an elementary understanding of matrices.
Bronnen van zelfstudie
|Preferably at least one of the level 2 courses “Location in a Globalised World” (GEO2-3803) and “Economics of Cities” (GEO2-3804). If you did not complete either of these courses (yet), please contact dr. Smit and you can explain why you want to join the course.|
|If you've never worked with matrices, you are encouraged to watch an online lectures on elementary matrix algebra, such as |
• https://www.youtube.com/watch?v=6jEAkMpApAc (Colorado) or
• https://www.youtube.com/watch?v=BWo1Fgvp-Mk (Australian Peter Christensen covers addition and multiplication too, but in a crystal clear and intuitive way)
BeoordelingExam (20%), paper (20%), individual assignments (20%), team assignment (40%).