[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/trr/wpaper/202101.html
   My bibliography  Save this paper

Analyse der Grundschulversorgung in Trier mit Hilfe kleinräumiger Mikrosimulationsmodelle

Author

Listed:
  • Sebastian Dräger
  • Johannes Kopp
  • Ralf Münnich
  • Simon Schmaus
Abstract
Um die Potenziale der Mikrosimulation als ein Instrument zur Analyse der zukünftigen Versorgungslagen im Elementarbereich und zur Planung entsprechender (politischer) Interventionen zu untersuchen, wurde am Beispiel der Stadt Trier eine Mikrosimulationsstudie durchgeführt. Die Datenbasis stellt dabei eine synthetische Grundgesamtheit der Bevölkerung auf Basis der Zensusergebnisse 2011 dar, welche mit Hilfe von Zensusgitterzellen geografisch im Stadtgebiet verortet und modellbasiert und unter verschiedenen Wanderungsszenarien in die Zukunft fortgeschrieben wurde. Außerdem liegen für Trier für die Jahre 2011 bis 2018 präzise Zahlen zu Schülern der Elementarstufe vor, an denen nicht nur die Simulationsgesamtheit konfiguriert werden kann, sondern die auch als zentrale Benchmarks für die Validität der Fortschreibungsmodule und -Parameter dienen können.

Suggested Citation

  • Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2021. "Analyse der Grundschulversorgung in Trier mit Hilfe kleinräumiger Mikrosimulationsmodelle," Research Papers in Economics 2021-01, University of Trier, Department of Economics.
    • Handle: RePEc:trr:wpaper:202101
    as

    Download full text from publisher

    File URL: http://www.uni-trier.de/fileadmin/fb4/prof/VWL/EWF/Research_Papers/2021-01.pdf
    File Function: Second version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sabine Zinn, 2012. "A Mate-Matching Algorithm for Continuous-Time Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 31-51.
    2. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    3. Robert Tanton, 2018. "Spatial Microsimulation: Developments and Potential Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 143-161.
    4. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
    5. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    6. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2022. "Die zukünftige Entwicklung der Grundschulversorgung im Kontext ausgewählter Wanderungsszenarien [The future development of primary school demand in the context of selected migration scenarios]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(1), pages 51-77, March.
    2. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    3. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    4. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    5. Julian Ernst & Sebastian Dräger & Simon Schmaus & Jan Weymeirsch & Ahmed Alsaloum & Ralf Münnich, 2023. "The Influence of Migration Patterns on Regional Demographic Development in Germany," Social Sciences, MDPI, vol. 12(5), pages 1-20, April.
    6. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    7. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2021. "Simulating family life courses: An application for Italy, Great Britain, Norway, and Sweden," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(1), pages 1-48.
    8. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    9. Joachim Merz & Lars Rusch, 2015. "MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)," FFB-Discussionpaper 100, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    10. Aksoy, Cevat Giray & Poutvaara, Panu & Schikora, Felicitas, 2023. "First time around: Local conditions and multi-dimensional integration of refugees," Journal of Urban Economics, Elsevier, vol. 137(C).
    11. Nils Lerch, 2018. "The Causal Analysis of the Development of the Unemployment Effect on Life Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 991, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Giordana, Gastón A. & Pi Alperin, María Noel, 2023. "Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg," Economics & Human Biology, Elsevier, vol. 50(C).
    13. Laszlo Goerke & Markus Pannenberg, 2024. "Wage determination in the shadow of the law: The case of works councilors in Germany," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 45(1), pages 83-115, February.
    14. Holger Bonin & Karsten Reuss & Holger Stichnoth, 2015. "Life-Cycle Incidence of Family Policy Measures in Germany: Evidence from a Dynamic Microsimulation Model," SOEPpapers on Multidisciplinary Panel Data Research 770, DIW Berlin, The German Socio-Economic Panel (SOEP).
    15. Geis-Thöne, Wido, 2020. "Häusliches Umfeld in der Krise: Ein Teil der Kinder braucht mehr Unterstützung. Ergebnisse einer Auswertung des Sozio-oekonomischen Panels (SOEP)," IW-Reports 15/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    16. Panarello, Demetrio, 2021. "Economic insecurity, conservatism, and the crisis of environmentalism: 30 years of evidence," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    17. Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
    18. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
    19. Mathias Huebener & Sevrin Waights & C. Katharina Spiess & Nico A. Siegel & Gert G. Wagner, 2021. "Parental well-being in times of Covid-19 in Germany," Review of Economics of the Household, Springer, vol. 19(1), pages 91-122, March.
    20. Max Deter, 2020. "Prosociality and Risk Preferences in the Financial Sector," SOEPpapers on Multidisciplinary Panel Data Research 1075, DIW Berlin, The German Socio-Economic Panel (SOEP).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:trr:wpaper:202101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Matthias Neuenkirch (email available below). General contact details of provider: https://edirc.repec.org/data/petride.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.