Lecture: The course covers the quantification and simulation of quantitative spatial models. This entails: i) working with spatial data to generate the necessary model inputs; ii) setting, estimating, and inverting the primitives of the model; iii) using numerical procedures to solve for the spatial general equilibrium and conduct counterfactual analysis.
Exercise: Topics covered will include processing of spatial data, setting structural parameters, inverting fundamentals, and numerical simulation.
Recommended Module or Comparable Previous Knowledge: Students should have formal training in econometrics equivalent to "Advanced Econometrics" and in microeconomics equivalent to "Advanced Microeconomic Analysis". Experience in coding for data analysis is essential. Experience in using geographic information systems will be helpful.
Ungraded work performance: Multimedia presentation (30 min)
StO/PO MA 2016: 6 LP, Modul: "Quantitative Spatial Economics"
StO/PO MEMS 2016: 6 LP, Modul: "Quantitative Spatial Economics", Major: Quantitative Methods
Term paper
Die Veranstaltung wurde 7 mal im Vorlesungsverzeichnis SoSe 2024 gefunden:
