IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/59580.html
   My bibliography  Save this paper

SBAM: An algorithm for pair matching

Author

Listed:
  • Stephensen, Peter
  • Markeprand, Tobias

Abstract

This paper introduces a new algorithm for pair matching. The method is called SBAM (Sparse Biproportionate Adjustment Matching) and can be characterized as either cross-entropy minimizing or matrix balancing. This implies that we use information efficiently according to the historic observations on pair matching. The advantage of the method is its efficient use of information and its reduced computational requirements. We compare the resulting matching pattern with the harmonic and ChooSiow matching functions and find that in important cases the SBAM and ChooSiow method change the couples pattern n in the same way. We also compare the computational requirements of the SBAM with alternative methods used in microsimulation models. The method is demonstrated in the context of a new Danish microsimulation model that has been used for forecasting the housing demand.

Suggested Citation

  • Stephensen, Peter & Markeprand, Tobias, 2013. "SBAM: An algorithm for pair matching," MPRA Paper 59580, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59580
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/59580/1/N2013_03.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    2. Eugene Choo & Aloysius Siow, 2006. "Who Marries Whom and Why," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 175-201, February.
    3. McDougall, Robert A., 1999. "Entropy Theory and RAS are Friends," Working papers 283439, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. McDougall, Robert, 1999. "Entropy Theory and RAS are Friends," GTAP Working Papers 300, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Stephensen, 2013. "The Danish Microsimulation Model SMILE – An overview," DREAM Working Paper Series 201305, Danish Rational Economic Agents Model, DREAM.
    2. Jonas Zangenberg Hansen & Peter Stephensen & Joachim Borg Kristensen, 2013. "Household Formation and Housing Demand Forecasts," DREAM Working Paper Series 201308, Danish Rational Economic Agents Model, DREAM.
    3. Jonas Zangenberg Hansen & Peter Stephensen, 2013. "Modeling Household Formation and Housing Demand in Denmark using the Dynamic Microsimulation Model SMILE," DREAM Working Paper Series 201304, Danish Rational Economic Agents Model, DREAM.

    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. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    2. Jonas Zangenberg Hansen & Peter Stephensen & Joachim Borg Kristensen, 2013. "Household Formation and Housing Demand Forecasts," DREAM Working Paper Series 201308, Danish Rational Economic Agents Model, DREAM.
    3. Peters, Jeffrey C. & Hertel, Thomas W., 2016. "The database–modeling nexus in integrated assessment modeling of electric power generation," Energy Economics, Elsevier, vol. 56(C), pages 107-116.
    4. Peter Stephensen, 2016. "Logit Scaling: A General Method for Alignment in Microsimulation models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 89-102.
    5. Romero, Carlos A., 2009. "Calibración de modelos de equilibrio general computado: Métodos y práctica usual [Calibration of CGE models: Methods and current practice]," MPRA Paper 17767, University Library of Munich, Germany.
    6. Roberto Roson & Camille Van der Vorst, 2020. "A Social Accounting Matrix for Andalusia," Working Papers 2020:22, Department of Economics, University of Venice "Ca' Foscari".
    7. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
    8. Casiano Manrique De Lara Peñate & Dolores Santos-Peñate, 2006. "Comparison of Different Updating Procedures and Identification of Temporal Patterns," EcoMod2006 272100059, EcoMod.
    9. repec:rre:publsh:v:34:y:2004:i:1:p:37-56 is not listed on IDEAS
    10. Alfredo J. Mainar Causape & Emanuele Ferrari & Scott McDonald, 2018. "Social accounting matrices: basic aspects and main steps for estimation," JRC Research Reports JRC112075, Joint Research Centre.
    11. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2008. "Geoprocessing and estimation of interregional input-output systems an application to the state of Sao Paulo in Brazil," MPRA Paper 54036, University Library of Munich, Germany.
    12. Canning, Patrick & Wang, Zhi, 2003. "A Flexible Modeling Framework to Estimate Interregional Trade Patterns and Input-Output Accounts," Conference papers 331136, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Arief Anshory Yusuf, 2006. "Constructing Indonesian Social Accounting Matrix for Distributional Analysis in the CGE Modelling Framework," Working Papers in Economics and Development Studies (WoPEDS) 200604, Department of Economics, Padjadjaran University, revised Nov 2006.
    14. Casiano Peñate & Dolores Peñate, 2003. "New Nonlinear Approaches for the Adjustment and Updating of a SAM," Economic Change and Restructuring, Springer, vol. 36(3), pages 259-272, September.
    15. Jordan Hristov & Aleksandra Martinovska-Stojcheska & Yves Surry, 2016. "The Economic Role of Water in FYR Macedonia: An Input–Output Analysis and Implications for the Western Balkan Countries," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-37, December.
    16. Patricia D. Fuentes-Saguar & Alfredo J. Mainar-Causapé & Emanuele Ferrari, 2017. "The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
    17. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    18. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    19. Hamasaki, Hiroshi, 2004. "Japanese strategy on climate change to achieve the Kyoto Target with steady economic development -An investigation by using the dynamic version of GTAP-E model," Conference papers 331201, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    20. Umed Temurshoev & Colin Webb & Norihiko Yamano, 2011. "Projection Of Supply And Use Tables: Methods And Their Empirical Assessment," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 91-123.
    21. Campagnolo, Lorenza & De Cian, Enrica, 2022. "Distributional consequences of climate change impacts on residential energy demand across Italian households," Energy Economics, Elsevier, vol. 110(C).

    More about this item

    Keywords

    matching microsimulation;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

    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:pra:mprapa:59580. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.