Statistical Inference in Micro Simulation Models: Incorporationg External Information
AbstractIn practical applications of micro simulation models very little is usually known about the properties of the simulated values. This paper argues that we need to apply the same rigourous standards for inference in micro simulation work as in scientific worl generally. If not, then micro simulation models will loose in credibility.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Uppsala - Working Paper Series in its series Papers with number 1998:20.
Length: 25 pages
Date of creation: 1998
Date of revision:
Contact details of provider:
Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
Web page: http://www.nek.uu.se/
More information through EDIRC
ECONOMIC MODELS ; SIMULATION;
Other versions of this item:
- Anders Klevmarken, N., 2002. "Statistical inference in micro-simulation models: incorporating external information," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 255-265.
- Klevmarken, N. Anders, 1998. "Statistical Inference in Micro Simulation Models: Incorporating external information," Working Paper Series 1998:20, Uppsala University, Department of Economics.
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006.
"Validating and Calibrating Agent-based Models: a Case Study,"
Computing in Economics and Finance 2006
277, Society for Computational Economics.
- Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007. "Validating and Calibrating Agent-Based Models: A Case Study," Computational Economics, Society for Computational Economics, vol. 30(3), pages 245-264, October.
- Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, Interational Microsimulation Association, vol. 6(2), pages 3-55.
- Michal Myck & Mateusz Najsztub, 2014. "Data and Model Cross-Validation to Improve Accuracy of Microsimulation Results: Estimates for the Polish Household Budget Survey," Discussion Papers of DIW Berlin 1368, DIW Berlin, German Institute for Economic Research.
- Zamac, Jovan & Hallberg, Daniel & Lindh, Thomas, 2008.
"Low fertility and long run growth in an economy with a large public sector,"
2008:11, Institute for Futures Studies.
- Zamac, Jovan & Hallberg, Daniel & Lindh, Thomas, 2008. "Low fertility and long run growth in an economy with a large public sector," CAFO Working Papers 2009:5, Centre for Labour Market Policy Research (CAFO), School of Business and Economics, Linnaeus University.
- Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan, vol. 38(4), pages 525-547.
- Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, Interational Microsimulation Association, vol. 5(1), pages 2-20.
- John Creedy, 2003. "Survey Reweighting for Tax Microsimulation Modelling," Treasury Working Paper Series 03/17, New Zealand Treasury.
- Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," ImPRovE Working Papers 13/10, Herman Deleeck Centre for Social Policy, University of Antwerp.
- Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.