Relevant bibliographies by topics / Microsimulation modelling

Academic literature on the topic 'Microsimulation modelling'

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Published: 4 June 2021
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Journal articles on the topic "Microsimulation modelling"

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Lomax, Nik, and Andrew Smith. "Microsimulation for demography." Australian Population Studies 1, no. 1 (November 19, 2017): 73–85. http://dx.doi.org/10.37970/aps.v1i1.14.

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Background: Microsimulation consists of a set of techniques for estimating characteristics and modelling change in populations of individuals. Aims: To demonstrate how microsimulation can be used by demographers who want to undertake population estimates and projections. Data and methods: We use data from the 2011 United Kingdom (UK) Census of population to create a synthetic population by age, sex and ethnic group. Static and dynamic microsimulations and the visualisation of results are undertaken using the statistical package R. The code and data used in the static and dynamic microsimulation are available via a GitHub repository. Results: A synthetic population in 2011 by age, sex and ethnicity was produced for the East London Borough of Tower Hamlets, estimated from two Census tables. A population projection was produced for each of these age, sex and ethnicity groups to 2021. We used a projection of the Bangladeshi population to visualise population growth by Middle-layer Super Output Area (MSOA) and to produce a population pyramid of estimates in 2021. Conclusions: We argue that microsimulation is an adaptable technique which is well suited to demography, for both population estimation and projection. Although our example is applied to the East London Borough of Tower Hamlets, the approach could be readily applied in Australia, or any other country.
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Holden, Ken. "Microsimulation modelling of the corporate firm." International Journal of Forecasting 13, no. 1 (March 1997): 143–44. http://dx.doi.org/10.1016/s0169-2070(96)00721-2.

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Hasan, Umair, Andrew Whyte, and Hamad AlJassmi. "A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses." Sustainability 14, no. 23 (November 24, 2022): 15657. http://dx.doi.org/10.3390/su142315657.

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In this study a novel microsimulation-based methodology for environmental assessment of urban systems is developed to address the performance of autonomous mass-mobility against conventional approaches. Traffic growth and microsimulation models, calibrated using real data, are utilised to assess four traffic management scenarios: business-as-usual; public bus transport case; public-bus rapid transit (BRT) case; and, a traffic-demand-responsive-autonomous-BRT case, focusing on fuel energy efficiency, headways, fleet control and platooning for lifecycle analysis (2015–2045) of a case study 3.5 km long 5-lane dual-carriageway section. Results showed that both energy consumption and exhaust emission rates depend upon traffic volume and flow rate factors of vehicle speed-time curves; acceleration-deceleration; and braking rate. The results measured over-reliance of private cars utilising fossil fuel that cause congestions and high environmental footprint on urban roads worsen causing excessive travel times. Public transport promotion was found to be an effective and easy-to-implement environmental burden reduction strategy. Results showed significant potential of autonomous mass-mobility systems to reduce environmental footprint of urban traffic, provided adequate mode-shift can be achieved. The study showed utility of microsimulations for energy and emissions assessment, it linked bus network performance assessment with environmental policies and provided empirical models for headway and service frequency comparisons at vehicle levels. The developed traffic fleet operation prediction methodology for long-term policy implications and tracking models for accurate yearly simulation of real-world vehicle operation profiles are applicable for other sustainability-oriented urban traffic management studies.
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Ballas, Dimitris, Richard Kingston, John Stillwell, and Jianhui Jin. "Building a Spatial Microsimulation-Based Planning Support System for Local Policy Making." Environment and Planning A: Economy and Space 39, no. 10 (October 2007): 2482–99. http://dx.doi.org/10.1068/a38441.

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This paper presents a spatial microsimulation modelling and predictive policy analysis system called Micro-MaPPAS, a Planning Support System (PSS) constructed for a local strategic partnership in a large metropolitan area of the UK. The innovative feature of this system is the use of spatial microsimulation techniques for the enhancement of local policy decision making in connection with the neighbourhood renewal strategy. The paper addresses the relevant data issues and technical aspects of the linkage of spatial microsimulation modelling frameworks to PSS and deals with the wider implications that such a linkage may have to local policy and planning procedures. Finally, the paper presents some illustrative examples of the policy relevance and policy analysis potential of the software.
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O’Donoghue, Cathal, and Gijs Dekkers. "Increasing the Impact of Dynamic Microsimulation Modelling." International Journal of Microsimulation 11, no. 1 (2017): 61–96. http://dx.doi.org/10.34196/ijm.00174.

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Dougherty, Mark, Ken Fox, Michael Cullip, and Marco Boero. "Technological advances that impact on microsimulation modelling." Transport Reviews 20, no. 2 (January 2000): 145–71. http://dx.doi.org/10.1080/014416400295220.

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Siripanich, Amarin, and Taha Hossein Rashidi. "Dymium: A modular microsimulation modelling framework for integrated urban modelling." SoftwareX 12 (July 2020): 100555. http://dx.doi.org/10.1016/j.softx.2020.100555.

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Leeuwen, Eveline S. van. "Review of Small Area Estimation and Microsimulation Modelling." International Journal of Microsimulation 10, no. 2 (2016): 208–9. http://dx.doi.org/10.34196/ijm.00162.

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Zhang, Jing, Nick Hounsell, and Birendra Shrestha. "Calibration of bus parameters in microsimulation traffic modelling." Transportation Planning and Technology 35, no. 1 (February 2012): 107–20. http://dx.doi.org/10.1080/03081060.2012.635431.

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Nolan, Patrick, Yvonne Wang, and Meghan Stephens. "Modelling Child Poverty and Wellbeing the Treasury’s TAWA microsimulation model." Policy Quarterly 18, no. 3 (August 15, 2022): 58–63. http://dx.doi.org/10.26686/pq.v18i3.7717.

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Large tax–transfer microsimulation models can play a key role in guiding tax–transfer analysis and reform. This article discusses the Treasury’s microsimulation model of the tax–transfer system (the Tax and Welfare Analysis (TAWA) model), including how it is used and the standard outputs it produces. The article also considers whether these standard outputs continue to be fit for purpose. This includes a discussion of different ways of estimating poverty impacts, the role reporting should give to financial incentives to work, and the opportunities provided by improved data. This final point is particularly important for understanding take-up and the prospect for extending the model to cover non-financial measures.
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Dissertations / Theses on the topic "Microsimulation modelling"

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Kongmuang, Charatdao. "Modelling crime : a spatial microsimulation approach." Thesis, University of Leeds, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434205.

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Walker, Agnes Emilia, and Agnes Walker@anu edu au. "Modelling the links between socioeconomic status and health in Australia: a dynamic microsimulation approach." The Australian National University. National Centre for Epidemiology and Population Health, 2005. http://thesis.anu.edu.au./public/adt-ANU20060127.120857.

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This thesis concerns the modelling of individuals’ health over the life course, within the framework set by the now substantial international literature on the relationship between socioeconomic status and health. The focus is on people with long term illnesses and related disabilities, on inequalities in health by socioeconomic status (SES) and on the impact of health on employment.¶ The main tool of analysis is a dynamic microsimulation model of the Australian population which tracks the demographic, socioeconomic and financial characteristics of individuals and their families over the life course. Its original form, developed at the National Centre for Socioeconomic Modelling, University of Canberra, is based on a one per cent representative sample of the Australian population (around 150,000 individuals), with a series of life course events simulated for individuals and their families up to 2050 - such as births, deaths, migration, taxes, education, labour force participation, earned income, wealth accumulation and government transfers. The model is written in the C programming language and was initially used on a UNIX system. The dramatic increases in the speed and memory size of PCs over the past five years has led to a PC version now being available.¶ Despite their relatively short existence and long development phases, dynamic microsimulation models are now used in many developed countries – for example, the USA, UK, Canada, France, Sweden, Norway and Italy. In recognition of their ability to analyse distributional and financial issues in considerably greater depth than what is possible with traditional methods, their use by government for policy analysis is rapidly increasing.¶ In this thesis two new modules were added to the original Australian dynamic microsimulation model – namely: a Health_SES module and a Health State Transitions module. The former makes the study of health inequalities across socioeconomic groups possible. The latter provides a link between health status and the ability of individuals to carry out every day activities as the severity of their ill-health increases with age. A major advantage of adding these new modules to an existing main model is that it allows much more comprehensive studies over the life courses of individuals than the alternative would allow – that is the building of two stand-alone models developed exclusively for ‘health-SES’ and ‘health state transition’ types of applications.¶ The main data sources used to construct the two new modules were an extract from the Australian Institute of Health and Welfare’s Mortality database covering the 1995-97 period, and the Australian Bureau of Statistic’s 1998 survey of Disability, Ageing and Carers. The analysis of the mortality data was handled using EXCEL, and that of the much larger Disability survey unit record dataset - over 40,000 individuals and 100s of variables – using the SAS programming language.¶ While most of the methodologies used in constructing the new modules are in line with what became the norm for dynamic microsimulation model development, the thesis contains several innovations. The main ones are: a quantitative assessment of the suitability of different types of SES indicators for studies of health inequalities; the modelling of the progression of people’s health from illness-free status to mild and severe disability; the development of a methodology for estimating health state transition probabilities from cross-sectional data (in the absence of longitudinal data); and the linking of health status to individual’s ability to stay in the labour force.¶ As with most models, there are a number of limitations. These are discussed in the thesis, together with areas of possible future improvements.¶ The thesis also presents two novel and topical – though at this stage illustrative – applications of the enhanced dynamic microsimulation model. The first simulates the impact of a narrowing in health inequalities in Australia as health is lifted nationally to the level currently enjoyed by the most affluent 20% of the population. The findings are that, if such a policy change were implemented, close to half a million fewer Australians would be disabled, around 180,000 life years would be saved, health care costs would be around A$1 billion lower per year and the government could save close to A$700 million on the Disability Support Pension.¶ The second application quantifies the likely impacts of longer working lives in future, which may arise from changes such as: more favourable labour market conditions; government incentives to remain in the labour force longer (eg the lifting of the pension age); and general improvements in health. This application estimates the probability that Australians aged 65-70 would work more than 15 hours per week, had such changes eventuated. The decision to retire is modelled as a function of each individual’s own health, socioeconomic status, age, sex and family composition. The impacts are simulated in a world in which current patterns of health by age, sex and SES remain unchanged over time – the Base case; and a world replicating the narrower health inequalities scenario of the first application. Under the Base case an additional 450,000 persons aged 65-70 years were estimated to remain in the workforce - with the related earnings totalling up to $20 billion in 1998 ($35 billion in 2018) and savings by government on the age pension of around $2 billion ($4 billion in 2018). Under the narrower health inequalities scenario the numbers working, their earnings and the related savings on the age pension were estimated to be around 7% higher. Much of the original research carried out for this thesis has appeared, or is yet to appear, in refereed publications.¶
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Walker, Agnes Emilia. "Modelling the links between socioeconomic status and health in Australia : a dynamic microsimulation approach /." View thesis entry in Australian Digital Theses Program, 2005. http://thesis.anu.edu.au/public/adt-ANU20060127.120857/index.html.

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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 aggregate when compared with administrative data, the PLM-PB was much more accurate in capturing distributional differences by beneficiary and medication type. The PLM-PB also indicated that, as anticipated, PBS benefits were more pro-poor than earlier means-based models had suggested. The PLM-PB had another important advantage in that the method also captured the variation in the use of medication and thus the subsidy received within sub-populations. As the PLM-PB was found to be more accurate than the means-based model, a multivariate analysis of the distribution of PBS subsidy across a number of socio-economic groups was undertaken as an example application of the model. It was found that health status (defined by number of recent illnesses) and concession card type were most important in explaining the amount of PBS subsidy received. This indicates that the distribution of PBS expenditure meets the policy objectives of assisting those most in need, whether need is defined as poor health or low income. 1 Benefits refer to expenditure as transfers from government to individuals rather than the general health benefits of using medication.
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Dinbabo, Mulugeta Fitamo. "Social welfare policies and child poverty in South Africa: a microsimulation model on the child support grant." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_9672_1319799611.

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The study assessed the extent of child poverty in South Africa using five different policy scenarios, and modelled the impact on poverty and inequalities of people living in households with children using the Foster-Greer-Thorbecke (FGT) index of poverty measurement, including poverty rate P0, (headcount index ratio), poverty gap index P1, (the depth of poverty), and the severity of poverty P2 (squared poverty gap index). Societal welfare inequalities have been measured using the Gini co-efficient. In general, the scenario analysis was based on the 2007 population baseline and 2008 government policy rules. The results of the study clearly indicate that there is a positive correlation between cash transfer (Child Support Grant) and a reduction in poverty and the inequalities of people living in households with children in South Africa. An increase in the Child Support Grant amount and the number of child beneficiaries, in modelling, produced a positive effect in addressing increasing child poverty and vulnerability. In addition, the research process identified four interrelated gaps that hinder the successful implementation of the social welfare policies underlying the Child Support Grant to reduce the poverty and inequality profile of people living in households with children in South Africa. First, inadequate understanding of the constitutional rights of the child exists. Second, failure to use proven best practice of institutional arrangements and implementation modalities was identified. Third, lack of political will for the championship of a universal basic income grant (UBIG) is present. Fourth, insufficient research, monitoring and evaluation (M&E) and dissemination of best practices is done. Within the context of the abovementioned analysis, the study finally brings into focus general observations gained from the investigation and provides recommendations to policy makers and other stakeholders.
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PÉREZ, CASTRO GUILLERMO. "Modelling behavior of cyclists to evaluate bicycle traffic performance." Thesis, KTH, Transportplanering, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280760.

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Over the past years, bicycles started to gain popularity and more people are now using it as amean of transportation. Nowadays, sustainability trends promote cycling as one of the greenestsolutions for the future in mobility. With this rising demand in the number of bicycle trips, there isa need to design adequate infrastructure fitted to the behavior of cyclists and their traffic patterns.Even though there is plenty information regarding car driving behavior, there is still a lack ofunderstanding in how cyclists behave. Consequently, the behavior of cyclists is often modelled byadjusting parameters from models originally designed for other types of users (e.g. car-followingmodels).The purpose of this degree project is to increase the understanding of the behavior of cyclists byinvestigating the extent to what car-following models can be used to simulate bicycle traffic andwhat effects relevant parameters have on the behavior of simulated cyclists and specific trafficcharacteristics. The main method is microscopic traffic simulation, through the simulation programVissim, of bicycle traffic flow on a two-way separated cycle path in Stockholm, withoutdisturbances from pedestrian and car traffic. In addition, a sensitivity analysis is presented, withthe support of the Elementary Effects method, of behavioral parameters of following, overtaking,lateral position, and the longitudinal gradient of the cycle path, and their effects on speed, lateralposition, and time headway.The sensitivity analysis showed that the minimum lateral distance between cyclists is a keyparameter to model following and overtaking behavior, while the gradient was found to be animportant factor that has a great impact on the bicycle traffic performance. Overall, the resultsindicated that the Vissim implementation of the Wiedemann car-following model is able toreproduce the speed and time headway on flat cycle paths with high flows, with goodapproximation to reality. However, the model failed to represent the effect of gradient, and thelateral position of cyclists could only be achieved with a low level of detail and accuracy.The understanding of the behavior of cyclists is crucial for the design and planning of infrastructurededicated to bicycles, so transport planners can consider the needs of cyclists. This projectcontributes to establish a baseline for bicycle traffic modelling and its adaptation of car-followingmodels to simulate cyclists and bicycle traffic. The awareness of these adaptations will help topromote cycling in order to achieve a more sustainable transport system
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Kypridemos, Christodoulos. "Modelling the effectiveness and equity of primary prevention policies in England : a stochastic dynamic microsimulation for the joint prevention of non communicable diseases." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3006786/.

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Introduction: Cardiovascular disease and cancers are the main causes of premature death and disability in England. This thesis uses a microsimulation modelling methodology to examine and quantify the effectiveness and equity of existing primary prevention policies and feasible alternatives. Methods: I created and validated IMPACT_NCD, a dynamic stochastic microsimulation model from first epidemiological principles, to simulate the life course of synthetic individuals under counterfactual scenarios. First, I used the model to quantify the contribution of statins to the observed decline in total cholesterol in England. Then, I examined a national screening programme known as 'NHS Health Checks'. Afterwards, I estimated the effectiveness and equity of the national salt reduction strategy. Finally, I studied two proposed policies for the tobacco 'endgame'; a total sales ban, and a sales ban restricted to those born in or after 2000. Results: The model suggested that statins contributed only about a third of the observed total cholesterol decline in England since 1991-92. Their impact on reducing socioeconomic inequalities in total cholesterol was generally positive, contrary to what was anticipated. NHS Health Checks may prevent or postpone about 19,000 cases of cardiovascular disease by 2030; however, population wide structural policies could be three times more effective and generally more equitable. IMPACT_NCD estimated that the national salt reduction strategy may have prevented or postponed about 52,000 cases of cardiovascular disease and 5000 cases of gastric cancer since 2003. Additional legislative policies from 2016 onwards could further prevent or postpone approximately 20,000 more cases by 2030, while reducing inequalities. Finally, a total ban on sales of tobacco products could prevent or postpone about 90,000 cases of cardiovascular disease, 79,000 cases of lung cancer, and tremendously reduce health inequalities by 2045. The age restricted ban could have small benefits overall within the simulation horizon. Conclusions: Increasing the structural elements of existing policies or complementing them with new structural policies might maximise their effectiveness and equity. Simulation modelling is valuable for the evaluation of existing policies and the design of new fit for purpose policies that will take into account the complex nature and dynamics of the populations.
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Sadek, Eran Sadek Said Md. "Modellng residential water demand in Leeds using microsimulation incorporating behavioural data." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581978.

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With an increasing world population and changing lifestyles, there is a relentless demand for water including for domestic water supplies. In order to manage water demand better, the amount of water used for domestic purposes must be estimated. A number of methods exist such as the micro-components method, which is recommended by the UK Environment Agency. Microsimulation of synthetic households is also used for demand estimation, which is an area of research that has a tradition in the School of Geography, University of Leeds. This research project follows in this tradition but extends the work by adding a behavioural component through information collected via a survey. Microsimulation is used to create a synthetic household population for the city of Leeds, which is the study area for this research. Using a Domestic Consumption Monitor (DCM) from Yorkshire Water, which contains the water consumption of a sample of households, water use is matched to the synthetic population to produce baseline demand for the city, which equates to 106 million litres per day or 148 litres per person per day, which approximates the UK average. The research then involved designing and administering a behavioural survey, which was informed by a review of other surveys that have been undertaken in the UK. The survey of more than 1,000 individuals was found to contain a representative sample by housing type and metered versus non-metered houses when compared to Leeds and England. Moreover, the number of water ecologists and water utilitarians was also evenly distributed. The results of the survey showed a number of findings regarding water conservation behaviour and measures that might encourage conservation. For example, water efficient showerheads, water displacement devices in a cistern, installing a water butt, installing a dual/low flush toilet and not washing food and vegetables under a tap are all behaviours that people would adopt in the future. The survey was then used to calculate the likelihood or probability that households would adopt a particular water conservation behaviour, disaggregated by different demographic variables such as housing type, tenure, age and social economic group. These probabilities formed the basis of scenarios in which the water savings from a particular behaviour were applied to the synthetic household population to determine overall water savings by ward and for the city of Leeds as a whole. Scenarios involving a single behavioural change and multiple behaviours together were investigated. A sensitivity analysis was applied to these results to consider over-estimation in both the probabilities of likely adoption of a particular behaviour in the future and the amount of water that would be saved by adopting the behaviour. The results showed that the maximum possible savings under the most optimistic multi-behavioural scenario is 30%. Given a more realistic scenario of adoption of the three most likely behaviours from the survey, the maximum potential savings are on the order of 7%.
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Alfredsson, Eva. "Green consumption energy use and carbon dioxide emission." Doctoral thesis, Umeå universitet, Kulturgeografi, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80.

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The aim of this thesis is to explore the quantitative potential to reduce energy requirements and CO2 emissions through changed patterns of consumption, given unchanged levels of consumption expenditure. The thesis question is analysed using a systems analysis approach which in this case means that life cycle assessment data on energy requirements and CO2 emissions related to household consumption are combined with a financial and behavioural analysis to make sure that the budget constraint is kept and that both the first and second order effects of adopting a green consumption pattern are analysed. The budget constraints are kept using a general linear model. By using marginal propensities to spend to direct the reallocation of saved or deficit money calculated utility is maintained as far as possible. Further, investigations explore the impact of individual household demographic characteristics and geographic context on household consumption patterns, energy requirements and CO2 emissions. The key result of this thesis is that changed household behaviour, choosing “green“ products and energy efficient technology will not make a big difference. What can be achieved in the short time perspective by adopting an almost completely green consumption pattern and energy efficient technology is a reduction of energy requirements by around 8% and CO2 emissions by around 13%. With a longer time perspective and further technological change that provides additional possibilities to move consumption patterns in a greener direction, the effect on energy requirements and CO2 emissions is still fairly small. By 2020, the potential to reduce energy requirements is around 13% and CO2 emissions around 25%. In the most extreme scenario (2050), the scope for reducing energy requirements is 17% and for CO2 emissions 30%. All these reductions will be outpaced by growth in income almost as soon as they are implemented. Of policy relevance the results reveal that very limited impact can be expected by a policy relying on greener consumption patterns, whether adopted voluntarily or as a result of incentives such as tax changes. Such a policy cannot achieve more than a small and temporary reduction to growth in energy requirements and CO2 emissions. It is also shown that, prescribing specific consumption patterns as a means of reducing energy requirements and CO2 emissions has to be done with care. This is illustrated by one of the experiments in which adopting a partly green consumption pattern, a green diet, in fact increased total energy requirements and CO2 emissions. This, and the results of all the other experiments show the importance of applying a systems approach. It demonstrates that life cycle data alone are irrelevant for assessing the total effects of adopting green consumption patterns. Further research on the potential to reduce energy requirements and CO2 emissions thus primarily needs to better capture system wide effects rather than to improve on, and fine tune the measurement of the energy requirements and CO2 emissions related to individual products.
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COLOMBO, GIULIA. "Come legare modelli CGE a modelli di microsimulazione: questioni metodologiche ed applicate." Doctoral thesis, Università Cattolica del Sacro Cuore, 2008. http://hdl.handle.net/10280/227.

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Questa tesi offre una descrizione dettagliata di come i modelli di equilibrio generale computazionale (CGE) ed i modelli di microsimulazione possano essere utilizzati congiuntamente, partendo dalla letteratura piú recente sull'argomento, e focalizzando l'attenzione in particolare sulla letteratura riguardante i paesi in via di sviluppo. La ragione principale per la quale questi modelli vengono utilizzati congiuntamente risiede nel fatto che il ricercatore vuole essere in grado di studiare contemporaneamente l'eterogeneità degli agenti economici e la complessità della distribuzione del reddito, ed allo stesso tempo di valutare gli effetti macroeconomici delle riforme. Nell'ultimo capitolo costruiamo un modello CGE-microsimulazione per l'economia del Nicaragua. Esso si rivela particolarmente adatto alla riforma di politica economica che vogliamo simulare: l'accordo di libero scambio commerciale tra i paesi dell'America Centrale e gli Stati Uniti è infatti una riforma di tipo macroeconomico, la quale potrebbe tuttavia avere effetti significativi sulla distribuzione del reddito. Con questo modello analizzeremo quindi gli effetti dell'accordo commerciale con gli Stati Uniti sulla distribuzione del reddito in Nicaragua. I risultati dell'analisi registrano soltanto piccole variazioni sia nelle principali variabili macroeconomiche che nella distribuzione del reddito e negli indici di povertà.
This thesis wants to give an assessment and a detailed description of how Computable General Equilibrium (CGE) and microsimulation models can be linked together, taking inspiration from the current literature, with a special focus concerning the literature on developing countries. The main reason why these models are linked together is that the modeller wants to be able to take into account full agents' heterogeneity and the complexity of income distribution, and at the same time to analyse the macroeconomic effects of the policy reforms. In the last chapter, we build a CGE-microsimulation model for the economy of Nicaragua. This model appears to be particularly suited to the policy reform we are willing to simulate with the model: the Free Trade Agreement of Central American countries with USA is mainly a macroeconomic reform, which on the other hand can have important effects on the distribution of income and on poverty. With such a model we will study the possible changes in the distribution of income in Nicaragua deriving from the Free Trade Agreement with USA. Our analysis finds only small changes both in the main macroeconomic variables and in the distribution of income and poverty indices.
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Books on the topic "Microsimulation modelling"

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O'Donoghue, Cathal. Farm-Level Microsimulation Modelling. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6.

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

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

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van Tongeren, Frank W. Microsimulation Modelling of the Corporate Firm. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-52068-6.

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D'Souza, R. M. M. Microsimulation modelling: Allowing for the entitlement effect. [London]: Analytical Services Division, Department of Social Security, 1990.

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Callan, Tim. Income tax and welfare reforms: Microsimulation modelling and analysis. Dublin: Economic and Social Research Institute, 1991.

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Davies, James B. Microsimulation, CGE and macro modelling for transition and developing economies. Helsinki: United Nations University, World Institute for Development Economics Research, 2004.

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Microsimulation modelling of the corporate firm: Exploring micro-macro economic relations. Berlin: Springer, 1995.

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Falkingham, Jane. The life-cycle distributional consequences of pay-as-you-go and funded pension systems: A microsimulation modelling analysis. Washington, D.C. (1818 H St., NW, Washington 20433): Finance and Private Sector Development Division, Policy Research Department, World Bank, 1993.

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O'Donoghue, Cathal. Practical Microsimulation Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198852872.001.0001.

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The purpose of this book is to bring together for the first time a description, with examples, of the main methods used in microsimulation modelling, used in the field of income-distribution analysis. The book provides a practical complement to the Handbook of Microsimulation Modelling, published in 2014. It is structured to develop and use the different types of models used in the field, with a focus on household-targeted policy. The book aims to fill a gap in the literature in providing a greater degree of codified knowledge through a practical guide to developing and using microsimulation models. At present, the training of researchers and analysts that use and develop microsimulation modelling is done on a relatively ad-hoc basis through occasional training programmes and lecture series, built around lecture notes. This book would enable a more formalized and organized approach. Each chapter addresses a separate modelling approach in a similar, consistent way, describing in practical terms the key methodological skills for each approach: · It provides some policy context to each modelling approach so as to understand the modelling choices made and structures developed. · As a very data-intensive modelling approach, each chapter describes key data analysis and data-preparation methods. · As a modelling approach that is used extensively for deciding policy, often involving huge budgets, validation is key. Each chapter describes an approach to validating the model. · Depending upon the policy context, the analysis is assessed in different ways. Each chapter contains a section devoted to measurement issues and tabulating output from the models. · Last, each chapter contains an example simulation of a policy analysis using the chapter’s methodological approach.
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Book chapters on the topic "Microsimulation modelling"

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Bélanger, Alain, and Patrick Sabourin. "Modelling Fertility." In Microsimulation and Population Dynamics, 99–130. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44663-9_4.

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O’Donoghue, Cathal. "Farm Subsidy Microsimulation Modelling." In Farm-Level Microsimulation Modelling, 119–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_5.

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O’Donoghue, Cathal. "Introduction." In Farm-Level Microsimulation Modelling, 1–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_1.

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O’Donoghue, Cathal. "Spatial Microsimulation Model for Environmental Policy." In Farm-Level Microsimulation Modelling, 283–319. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_10.

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O’Donoghue, Cathal. "Farm Household Microsimulation Modelling: Viability." In Farm-Level Microsimulation Modelling, 321–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_11.

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O’Donoghue, Cathal. "Farm-Level Microsimulation Modelling: An Updated Survey." In Farm-Level Microsimulation Modelling, 21–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_2.

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O’Donoghue, Cathal. "Static Farm Microsimulation Model: Price Impact." In Farm-Level Microsimulation Modelling, 49–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_3.

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O’Donoghue, Cathal. "Hypothetical Microsimulation Modeling—Farm Taxation." In Farm-Level Microsimulation Modelling, 87–118. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_4.

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O’Donoghue, Cathal. "Spatial Microsimulation of Farm Income." In Farm-Level Microsimulation Modelling, 147–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_6.

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O’Donoghue, Cathal. "Farm-Level Income Generation Microsimulation Model." In Farm-Level Microsimulation Modelling, 177–214. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63979-6_7.

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Conference papers on the topic "Microsimulation modelling"

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Hannappel, Marc. "A Plea For Microsimulation." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0204.

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O’Cinneide, D., and D. Connell. "The accuracy of traffic microsimulation modelling." In URBAN TRANSPORT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/ut060281.

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Molnar, Istvan, and Imre Sinka. "Toward Agent-Based Microsimulation--Another Approach." In First Asia International Conference on Modelling & Simulation (AMS'07). IEEE, 2007. http://dx.doi.org/10.1109/ams.2007.104.

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Wagenhals, G., and J. H. Buck. "GMOD+: An Innovative Tax-Benefit Microsimulation Modeling Tool." In 20th Conference on Modelling and Simulation. ECMS, 2006. http://dx.doi.org/10.7148/2006-0354.

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Burka, David, Laszlo Mohacsi, Jozsef Csicsman, and Benjamin Soos. "Supporting Pension Pre-Calculation With Dynamic Microsimulation Technologies." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0562.

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"Application of microsimulation to disease transmission and control." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.b2.green.

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Wagenhals, G., and J. H. Buck. "Microsimulation Modelling Of Work-Related Expenses: A New Approach." In 22nd Conference on Modelling and Simulation. ECMS, 2008. http://dx.doi.org/10.7148/2008-0339.

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Karlsson, Andreas, Niten Olofsson, Erwin Laure, and Mark Clements. "A parallel microsimulation package for modelling cancer screening policies." In 2016 IEEE 12th International Conference on e-Science (e-Science). IEEE, 2016. http://dx.doi.org/10.1109/escience.2016.7870915.

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Wagenhals, Gerhard. "Behavioral Microsimulation Of A Dual Income Tax Reform: A Mixed-Logit Approach." In 24th European Conference on Modelling and Simulation. ECMS, 2010. http://dx.doi.org/10.7148/2010-0135-0142.

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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 modelling"

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Gasior, Katrin, Helen Barnes, Maria Jouste, Jesse Lastunen, David McLennan, Michael Noble, Rodrigo C. Oliveira, Pia Rattenhuber, and Gemma Wright. Full-year adjustment for modelling COVID-19 policies in SOUTHMOD tax-benefit microsimulation models. UNU-WIDER, October 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-18.

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