S13-S1 Measuring Agglomeration Advantages using Innovative Geo-Data
Tracks
Special Sessions
| Wednesday, August 30, 2017 |
| 9:00 AM - 10:30 AM |
| AB Zernike Room (0260) |
Details
Convener: Joachim Möller / Chair: Christoph Rust
Speaker
Prof. Joachim Möller
Full Professor
Institute for Employment Research (IAB)
Mobility and Labor Market Careers of Graduates from a Local University – A Microdata Approach Using Geo-code Information
Author(s) - Presenters are indicated with (p)
Joachim Möller (p), Christoph Rust
Discussant for this paper
Christoph Rust
Abstract
The study employs a unique data set linking a university‘s administrative data on graduates with social security micro data from the German labor market. The combination yields a panel micro data set with extremely rich information.
The study contributes to the literature in several aspects. First, it investigates the linkage between the process of the individual’s acquirement of human capital and the individual labor market performance as shown by earnings and un-/ employment probability. Second, it clarifies the role of investment in specific occupational human capital on labor market outcomes. Third, it gives some empirical evidence on the role of a higher regional supply of high skilled individuals on regional economic development and structural change. The foundation of the university can be taken as a sort of natural experiment. Fourth, the study intends to shed some light on the value of mobility for the labor market career of the graduates. Fifth, we are able to show to what extent different grades of the final exam influence the labor market performance of the graduates (controlling for other factors).
Geo-coded information will play a crucial role in our information.
The study contributes to the literature in several aspects. First, it investigates the linkage between the process of the individual’s acquirement of human capital and the individual labor market performance as shown by earnings and un-/ employment probability. Second, it clarifies the role of investment in specific occupational human capital on labor market outcomes. Third, it gives some empirical evidence on the role of a higher regional supply of high skilled individuals on regional economic development and structural change. The foundation of the university can be taken as a sort of natural experiment. Fourth, the study intends to shed some light on the value of mobility for the labor market career of the graduates. Fifth, we are able to show to what extent different grades of the final exam influence the labor market performance of the graduates (controlling for other factors).
Geo-coded information will play a crucial role in our information.
Dr. Filipe Batista e Silva
Senior Researcher
European Commission Joint Research Centre
The Determinants of Regional Growth in Europe: Assessing The Roles of Spatial Spillovers and Agglomeration
Author(s) - Presenters are indicated with (p)
Nicola Pontarollo, Filipe Batista e Silva (p), Christiaan Jacobs
Discussant for this paper
Joachim Möller
Abstract
See extended abstract
Mr Christoph Rust
Doctoral Student
Institute for Employment Research (IAB)/University Of Regensburg
How to Calculate Travel Time and Distance in Stata using the Open Source Routing Machine (OSRM)
Author(s) - Presenters are indicated with (p)
Stephan Huber, Christoph Rust (p)
Discussant for this paper
Filipe Batista E Silva
Abstract
This article introduces the Stata program osrmtime, which allows the calculation of distance and travel time between two points using latitude and longitude information. The command takes advantage of the \textit{Open Source Routing Machine} (OSRM) and of \textit{OpenStreetMaps} in order to find the optimal route by car, bicycle, or foot. The procedure is specially built for large georeferenced data sets, as it is fast, uses the full computational capacity of the PC, allows the user to make unlimited requests, and is independent of the internet and commercial online providers. Hence, there is no risk of the command becoming obsolete. Moreover, the results can be replicated at any time. In addition, this contribution also intends to demonstrate some tools and workflows related to georeferenced data.
