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Root number
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472523 |
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Semester
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HS2024 |
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Type of course
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Block Course |
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Allocation to subject
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Economics |
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Type of exam
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not defined |
| Title |
PhD-Spatial Methods for Economists using Python |
| Description |
Lecturer: Prof. Dr. Olivier Schöni
In the last decade, the use of spatial data in empirical analyses has spread to a variety of economic fields, including urban and real estate economics, development and environmental economics, labor and public economics, economic history, and trade. The aim of the course is to provide students and researchers with an effective and systematic workflow allowing them to extract and structure information provided by spatial data. To this end, the course will primarily focus on the automation of tasks involving spatial data using Python and ArcGIS. Among others, these tasks include importing different formats of spatial data, projecting spatial data to a common reference system, defining a spatial structure, selecting areas according to specific rules, merging data according to their spatial relationship, computing spatial statistics, and exporting the results. Additionally, the course will show how to integrate these tasks into the workflow of standard statistical software, such as R and Stata. The programming part of the lecture is complemented with a discussion of papers published in leading economic journals that exploit spatial data in their econometric analyses.
Course schedule:
02.-06.09.2024, A322, PC Pool, UniS
Project submission deadline: 31.10.2024
For participation please register in KSL (open from 01.06. - 15.08.2024) |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Olivier Schöni, Department of Economics ✉
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ECTS
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6 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 2/9/2024 09:15-16:45
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Tuesday 3/9/2024 09:15-16:45
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Wednesday 4/9/2024 09:15-16:45
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Thursday 5/9/2024 09:15-16:45
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Friday 6/9/2024 09:15-16:45
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Thursday 31/10/2024 00:15-23:55
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Rooms
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| External rooms |
A322, PC Pool, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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