Academic literature on the topic 'Microsimulation model'

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Journal articles on the topic "Microsimulation model"

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Walker, Joan L. "Making Household Microsimulation of Travel and Activities Accessible to Planners." Transportation Research Record: Journal of the Transportation Research Board 1931, no. 1 (2005): 38–48. http://dx.doi.org/10.1177/0361198105193100105.

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There is a large gap between the aggregate, trip-based models used by transportation planning agencies and the activity-based, microsimulation methods espoused by those at the forefront of research. The modeling environment presented here is intended to bridge this gap by providing a palatable way for planning agencies to move toward advanced methods. Three components to bridging the gap are emphasized: an incremental approach, a demonstration of clear gains, and a provision of an environment that eases initial implementation and allows for expansion. The modeling environment (called STEP2) is
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O’Donoghue, Cathal. "Simulating migration microsimulation model." International Journal of Microsimulation 3, no. 2 (2009): 65–79. http://dx.doi.org/10.34196/ijm.00039.

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Šurdonja, Sanja, Daniela Nežić, and Aleksandra Deluka-Tibljaš. "The Roundabout Capacity Estimate Microsimulation Model." Journal of Maritime & Transportation Science 49-50, no. 1 (2015): 143–65. http://dx.doi.org/10.18048/2015.49-50.143.

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Schweizer, Joerg, Cristian Poliziani, Federico Rupi, Davide Morgano, and Mattia Magi. "Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 165. http://dx.doi.org/10.3390/ijgi10030165.

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A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as an interdisciplinary project where transport planners and technology developers can work together on the same scenario; big data from OpenStreetMap, t
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Lidbe, Abhay D., Alexander M. Hainen, and Steven L. Jones. "Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model." SIMULATION 93, no. 1 (2017): 21–33. http://dx.doi.org/10.1177/0037549716683028.

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Microsimulation modeling is one of the contemporary techniques that has potential to perform complex transportation studies faster, safer, and in a less expensive manner. However, to get accurate and reliable results, the microsimulation models need to be well calibrated. Microsimulation model consists of various sub-models each having many parameters, most of which are user-adjustable and are attuned for calibrating the model. Manual calibration involves an iterative trial-and-error process of using the intuitive discrete values of each parameter and feasible combinations of multiple paramete
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DeBacker, Jason, Richard W. Evans, and Kerk L. Phillips. "Integrating Microsimulation Models of Tax Policy into a DGE Macroeconomic Model." Public Finance Review 47, no. 2 (2019): 207–75. http://dx.doi.org/10.1177/1091142118816744.

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This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend
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Klazar, Stanislav, and Martin Zelený. "Microsimulation Model for Distributional Analysis of Consumption Taxes." Český finanční a účetní časopis 2008, no. 3 (2008): 56–68. http://dx.doi.org/10.18267/j.cfuc.280.

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Gomes, Gabriel, Adolf May, and Roberto Horowitz. "Congested Freeway Microsimulation Model Using VISSIM." Transportation Research Record: Journal of the Transportation Research Board 1876, no. 1 (2004): 71–81. http://dx.doi.org/10.3141/1876-08.

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Pasra, M., S. Hamid, A. Faisal, and H. Yatmar. "Model Microsimulation Roundabout Utilities in Makassar." IOP Conference Series: Materials Science and Engineering 875 (July 23, 2020): 012024. http://dx.doi.org/10.1088/1757-899x/875/1/012024.

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Wolf, Douglas A. "The Role of Microsimulation in Longitudinal Data Analysis." Canadian Studies in Population 28, no. 2 (2001): 313. http://dx.doi.org/10.25336/p67k5x.

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Microsimulation is well known as a tool for static analysis of tax and transfer policies, for the generation of programmatic cost estimates, and dynamic analyses of socio-economic and demographic systems. However, microsimulation also has the potential to contribute to longitudinal data analysis in several ways, including extending the range of outputs generated by a model, addressing several defective-data problems, and serving as a vehicle for missing-data imputation. This paper discusses microsimulation procedures suitable for several commonly-used statistical models applied to longitudinal
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Dissertations / Theses on the topic "Microsimulation model"

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Jin, Jianhui. "A small area microsimulation model for water demand." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507779.

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Chen, Siyu S. M. Massachusetts Institute of Technology Department of Civil and Environmental Engineering. "Calibrating activity-based travel demand model system via microsimulation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123233.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 79-83).<br>This thesis addresses the problem of calibrating activity-based travel demand model systems. After estimation, it is common practice to use aggregate measurements to calibrate the estimated model system's parameters. However, calibration of activity-based model systems has received much less attention. Existing calibration approaches are myopic heuristics in the sense that
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Lenormand, Maxime. "Initialize and Calibrate a Dynamic Stochastic Microsimulation Model: Application to the SimVillages Model." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00764929.

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Le but de cette thèse est de développer des outils statistiques permettant d'initialiser et de calibrer les modèles de microsimulation dynamique stochastique, en partant de l'exemple du modèle SimVillages (développé dans le cadre du projet Européen PRIMA). Ce modèle couple des dynamiques démographiques et économiques appliquées à une population de municipalités rurales. Chaque individu de la population, représenté explicitement dans un ménage au sein d'une commune, travaille éventuellement dans une autre, et possède sa propre trajectoire de vie. Ainsi, le modèle inclut-il des dynamiques de cho
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Papapanagos, Harry. "On the analysis of tax reform : a microsimulation tax-benefit model for Greece." Thesis, University of Essex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333725.

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Válková, Michaela. "Mikroskopický model dopravy ulic Veveří a Kounicova." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-371971.

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Diploma thesis deals with microscopic traffic model of the streets Veveří and Kounicova including adjacent road network. This model was created in software Aimsun based on maps, the results of the directional survey, traffic intensity at junctions and signal plans. Elaborated model of the current state location of interest was calibrated according to the traffic intensities on the entrance and exit roads. They have also been designed and created three possible variants of the solution streets Veveří and Kounicova. All variants were finally compared and evaluated.
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Harding, Ann. "Lifetime income distribution and redistribution in Australia : applications of a dynamic cohort microsimulation model." Thesis, London School of Economics and Political Science (University of London), 1991. http://etheses.lse.ac.uk/1164/.

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The first part of the thesis describes the construction of Australia's first dynamic cohort microsimulation model. The model consists of a pseudo-cohort of 4000 males and females, who are aged from birth to death, with the processes of mortality, education, marriage, divorce, fertility, labour force participation, the receipt of earnings and other income, the receipt of social security and education transfers and the payment of income tax being simulated for every individual in the model for every year of life. The second part of the thesis describes some of the results which can be derived fr
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Stevenson, Christopher Eric, and Chris Stevenson@aihw gov au. "A microsimulation study of the benefits and costs of screening for colorectal cancer." The Australian National University. National Centre for Epidemiology and Population Health, 2001. http://thesis.anu.edu.au./public/adt-ANU20040611.162207.

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This thesis examines the benefits and costs of screening for colorectal cancer in the context of an organised population screening programme. It uses microsimulation modelling to derive an optimally cost-effective screening protocol for various combinations of the available screening tests. ¶ First a mathematical model for the natural history of colorectal cancer is derived, based on analyses of Australian population and hospital-based cancer registries combined with data from published studies. Then a model for population based screening is derived based mainly on data from published screenin
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Francois, Clément, Philippe Laramée, Nora Rahhali, et al. "A Predictive Microsimulation Model to Estimate the Clinical Relevance of Reducing Alcohol Consumption in Alcohol Dependence." Karger, 2014. https://tud.qucosa.de/id/qucosa%3A71614.

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Background: Alcohol consumption is one of the most important factors for disease and disability in Europe. In clinical trials, nalmefene has resulted in a significant reduction in the number of heavy-drinking days (HDDs) per month and total alcohol consumption (TAC) among alcohol-dependent patients versus placebo. Methods: A microsimulation model was developed to estimate alcohol-attributable diseases and injuries in patients with alcohol dependence and to explore the clinical relevance of reducing alcohol consumption. Results: For all diseases and injuries considered, the number of events (in
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Wu, Mingqing Belinda. "A hybrid microsimulation model for a UK city population with dynamic, spatial and agent based features." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/3758/.

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This research aims to study and understand a complex social system through the development of an individual based hybrid model of the population of Leeds, UK. It attempts to demonstrate the importance of individual based modelling and simulation tools within the scope of demographic planning, as well as in application of a variety of substantive research and planning environments. The model adopts a hybrid modelling approach that combines the strength of two individual based modelling approaches: the first employs a dynamic spatial Micro-Simulation Model (MSM) and the second uses an Agent Base
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Schofield, Deborah, and n/a. "Modelling health care expenditure : a new microsimulation approach to simulating the distributional impact of the Pharmaceutical Benefits Scheme." University of Canberra. Information Sciences & Engineering, 1999. http://erl.canberra.edu.au./public/adt-AUC20061107.171802.

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In this thesis, a microsimulation model was developed using methods which were intended to overcome the main criticism of earlier models developed in Australia - that their estimation of the distribution of health benefits1 across income groups was not accurate. To determine whether the new model � called the Person Level Model of Pharmaceutical Benefits (PLM-PB) � was more accurate, two typical means-based models were also built to replicate the most commonly used methods in Australia. A comparison of the results of the three models revealed that while they produced comparable results at the
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Books on the topic "Microsimulation model"

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F, Gentleman Jane, Robertson D, and Monica Tomiak, eds. Smoothing procedures for simulated longitudinal microdata. Statistics Canada, 1990.

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Antcliff, Susan. An introduction to DYNAMOD: A dynamic population microsimulation model. National Centre for Social and Economic Modelling, Faculty of Management, University of Canberra, 1993.

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Holm, Einar. The SVERIGE spatial microsimulation model: Content, validation, and example applications. Kulturgeografiska institutionen/SMC, Umeå universitet, 2002.

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Lifetime income distribution and redistribution: Applications of a microsimulation model. North-Holland, 1993.

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Fredriksen, Dennis. Projections of population, education, labour supply, and public pension benfits: Analyses with the dynamic microsimulation MODEL MOSART. Statistics Norway, 1998.

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Harding, Ann. Dynamic microsimulation models: Problems and prospects. Welfare State Programme, Suntory-International Centre for Economics and Related Disciplines, London School of Economics, 1990.

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Asghar, Zaidi M., Harding Ann 1958-, and Williamson Paul, eds. New frontiers in microsimulation modelling. Ashgate, 2009.

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International Microsimulation Association. Inaugural meeting. New frontiers in microsimulation modelling. Ashgate, 2009.

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Introduction to molecular-microsimulation of colloidal dispersions. Elsevier, 2003.

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IARIW Special Conference on Microsimulation and Public Policy (1993 Canberra, A.C.T.). Microsimulation and public policy: Selected papers from the IARIW Special Conference on Microsimulation and Public Policy, Canberra, 5-9 December, 1993. Elsevier, 1996.

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Book chapters on the topic "Microsimulation model"

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Bélanger, Alain, and Patrick Sabourin. "Creating a Basic Cohort Model." In Microsimulation and Population Dynamics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44663-9_1.

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Davis, Peter, and Roy Lay-Yee. "SociaLab: A Dynamic Microsimulation Model." In Computational Social Sciences. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04786-3_3.

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O’Donoghue, Cathal. "Spatial Microsimulation Model for Environmental Policy." In Farm-Level Microsimulation Modelling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_10.

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O’Donoghue, Cathal. "Static Farm Microsimulation Model: Price Impact." In Farm-Level Microsimulation Modelling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_3.

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O’Donoghue, Cathal. "Farm-Level Income Generation Microsimulation Model." In Farm-Level Microsimulation Modelling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_7.

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O’Donoghue, Cathal. "Inter-temporal Microsimulation Model: Forestry Planting Decisions." In Farm-Level Microsimulation Modelling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_9.

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Marois, Guillaume, and Samir KC. "Converting a Cohort Component Model into a Microsimulation Model." In SpringerBriefs in Population Studies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79111-7_3.

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AbstractIn this chapter, we show and explain the code that reproduces the multistate projection of India described in Chap. 10.1007/978-3-030-79111-7_2 into a microsimulation model. The microsimulation code is divided into modules for each demographic event, namely the mortality, the education, the fertility, the domestic migration, and the reclassification of rural to urban areas. Section by section, we explain the code for the simulation and the production of outputs. We also a basic validation of the mode. The code file “Chapter 3—Replicating multistate.sas” contains the final complete code that generates the simulation for 2010–2060, including the setting up of the workspace (see Chap. 10.1007/978-3-030-79111-7_2).
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Merz, Joachim. "MICSIM: Concept, Developments, and Applications of a PC Microsimulation Model for Research and Teaching." In Social Science Microsimulation. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03261-9_2.

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Feldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.

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Marois, Guillaume, and Samir KC. "Getting Started." In SpringerBriefs in Population Studies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79111-7_2.

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AbstractThis chapter sets the stage before building the microsimulation model. First, we describe proprieties of the microsimulation model that will be built. The model is time-based, discrete-time and stochastic. We then describe properties of a multistate model that will be converted into a microsimulation model and we show how building a synthetic base population that consists of the individuals that will be projected. We finally explain how to set up the workspace in SAS.
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Conference papers on the topic "Microsimulation model"

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Zinn, Sabine, Jutta Gampe, Jan Himmelspach, and Adelinde M. Uhrmacher. "A DEVS model for demographic microsimulation." In the 2010 Spring Simulation Multiconference. ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878689.

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Huang, Weinan, Jian Sun, Heng Wang, and Keping Li. "Design of IDSS for Traffic Microsimulation Model Calibration." In 2008 Second International Symposium on Intelligent Information Technology Application (IITA). IEEE, 2008. http://dx.doi.org/10.1109/iita.2008.229.

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Swan, Breanna, Siddhartha Nambiar, Priscille Koutouan, et al. "Evaluating Diabetic Retinopathy Screening Interventions in a Microsimulation Model." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9384074.

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Orlicky, Adam, Alina Mashko, and Josef Mik. "Microsimulation model for assessment of eHMI of autonomous vehicles." In 2021 Smart City Symposium Prague (SCSP). IEEE, 2021. http://dx.doi.org/10.1109/scsp52043.2021.9447377.

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Huang, Weinan, and Jian Sun. "A NGSA-II Based Parameter Calibration Algorithm for Traffic Microsimulation Model." In 2009 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2009. http://dx.doi.org/10.1109/icmtma.2009.437.

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Schmidt, M., Y. Sahakyan, B. H. Cuthbertson, et al. "Selective Digestive Decontamination in the ICU: A Dynamic Population, Microsimulation Model." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a4136.

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Gazder, U., M. Hamid, and M. Yazan. "Traffic Microsimulation Model for Bahrain: A Step Towards Smart Traffic System." In Smart Cities Symposium 2018. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1383.

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Hussain, K. Zakir, M. Durairaj, and G. Rabia Jahani Farzana. "Analysing offender's attributes in the event of robbery by using microsimulation model." In 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT). IEEE, 2012. http://dx.doi.org/10.1109/icaccct.2012.6320726.

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Paul, M., V. Charan, V. Soni, and I. Ghosh. "Calibration Methodology of Microsimulation Model for Unsignalized Intersection under Heterogeneous Traffic Conditions." In ASCE India Conference 2017. American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784482025.063.

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Hannappel, Marc, Klaus G. Troitzsch, and Simone Bauschke. "Demographic And Educational Projections. Building An Event-Oriented Microsimulation Model With CoMICS II." In 26th Conference on Modelling and Simulation. ECMS, 2012. http://dx.doi.org/10.7148/2012-0613-0618.

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Reports on the topic "Microsimulation model"

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Basu, N., R. J. Pryor, T. Quint, and T. Arnold. Aspen: A microsimulation model of the economy. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399684.

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Spielauer, Martin. The "LifeCourse" model, a competing risk cohort microsimulation model: source code and basic concepts of the generic microsimulation programming language Modgen. Max Planck Institute for Demographic Research, 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-046.

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Noble, Michael. How to implement sub-national poverty lines in a SOUTHMOD country model using conditional constants: The case of UGAMOD. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-3.

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This note describes how to incorporate sub-national poverty lines into a SOUTHMOD country model using conditional constants within the constants function in such a way that the Statistics Presenter can generate national-level poverty statistics. The Uganda tax-benefit microsimulation model UGAMOD is used as an example.
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Brown, M. J., C. Mueller, B. Bush, and P. Stretz. Exposure estimates using urban plume dispersion and traffic microsimulation models. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/564119.

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