Academic literature on the topic 'Household microsimulation'
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Journal articles on the topic "Household microsimulation"
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 (January 2005): 38–48. http://dx.doi.org/10.1177/0361198105193100105.
Full textAddabbo, Tindara, Rosa María García-Fernández, Carmen María Llorca-Rodríguez, and Anna Maccagnan. "A microsimulation model to measure the impact of the economic crisis on household income." International Journal of Manpower 37, no. 3 (June 6, 2016): 474–93. http://dx.doi.org/10.1108/ijm-06-2014-0125.
Full textDenisova, Irina, and Nikita Varioshkin. "The impact of foreign trade shocks on well-being of Russian households: Microsimulation approach." Applied Econometrics 68, no. 4 (2022): 73–92. http://dx.doi.org/10.22394/1993-7601-2022-68-73-92.
Full textAmarante, Veronica. "Inequality and Household Size: A Microsimulation for Uruguay." International Journal of Microsimulation 10, no. 1 (2016): 73–105. http://dx.doi.org/10.34196/ijm.00150.
Full textCova, Thomas J., and Justin P. Johnson. "Microsimulation of Neighborhood Evacuations in the Urban–Wildland Interface." Environment and Planning A: Economy and Space 34, no. 12 (December 2002): 2211–29. http://dx.doi.org/10.1068/a34251.
Full textRogers, Susan M., James Rineer, Matthew D. Scruggs, William D. Wheaton, Phillip C. Cooley, Douglas J. Roberts, and Diane K. Wagener. "A Geospatial Dynamic Microsimulation Model for Household Population Projections." International Journal of Microsimulation 7, no. 2 (2013): 119–46. http://dx.doi.org/10.34196/ijm.00102.
Full textZhou, Bin (Brenda), and Kara M. Kockelman. "Microsimulation of Residential Land Development and Household Location Choices." Transportation Research Record: Journal of the Transportation Research Board 2077, no. 1 (January 2008): 106–12. http://dx.doi.org/10.3141/2077-14.
Full textSalanauskaitė, Lina, and Gerlinde Verbist. "Family Benefit Reform in Lithuania: Microsimulation of Its Distributional Impacts." Lietuvos statistikos darbai 52, no. 1 (December 20, 2013): 58–71. http://dx.doi.org/10.15388/ljs.2013.13925.
Full textJahoda, Robert, and Jana Godarová. "Family policy in the Czech Republic: Redistribution of wealth through the child tax bonus." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 7 (2013): 2213–20. http://dx.doi.org/10.11118/actaun201361072213.
Full textGraetz, Nick, Kevin Ummel, and Daniel Aldana Cohen. "Small-Area Analyses Using Public American Community Survey Data: A Tree-Based Spatial Microsimulation Technique." Sociological Methodology 52, no. 1 (December 16, 2021): 53–74. http://dx.doi.org/10.1177/00811750211057572.
Full textDissertations / Theses on the topic "Household microsimulation"
McCormick, Ashley Warren. "A dynamic microsimulation of Scotland's household composition, 2001-2035." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569261.
Full textPacifico, Adrien. "Three Empirical Essays in French Household Taxation." Thesis, Paris, EHESS, 2019. http://www.theses.fr/2019EHES0085.
Full textThis thesis is composed of three chapters which are linked to the taxation of households. The first chapter studies the welfare gains linked with the frequency of the tax, in particular, it studies the shift from an annual system to a monthly tax system. The third chapters aim at identifying behavioral reactions on the taxable income margin of rich households reacting to a french tax reform
Berry, Audrey. "Essais sur la précarité énergétique : mesures multidimensionnelles et impacts de la fiscalité carbone." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEH044/document.
Full textThis thesis explores two questions about fuel poverty in France: What indicator(s) should be adopted to quantify fuel poverty and capture its multiple dimensions? To what extent does ecological taxation amplify the phenomenon or, on the contrary, provides an opportunity to fight it?A first chapter introduces the social and economic issues of fuel poverty in France, as well as the challenges this phenomenon raises for public actors in the context of an ecological transition (chapter 1). Then the thesis is divided into two main parts.The first part deals with the measurement of fuel poverty. I start by highlighting the current debates on the measurement of fuel poverty and the limitations of existing approaches (chapter 2). Next, I explore the transport dimension of fuel poverty and I propose a composite index of the various factors that constrain household mobility and their possibilities to adapt to higher fuel prices. This index identifies three levels of exposure to rising fuel prices: precariousness, vulnerability and dependence (chapter 3). I then continue studying the design of a multidimensional index of energy poverty and I seek to uncover its political implications. Two indices are developed: one for housing and one for transport. I show how these new indices, through addressing the cumulative factors that disadvantage households in terms of energy, can help limit the inclusion and exclusion errorsfrom which conventional approaches suffer. Quantification in the French context brings new insights on the targeting of policy responses and emphasizes the need to address the non-monetary dimensions of fuel poverty (chapter 4). The second part studies the distributive impacts of carbon taxation. Based on a review of literature, I discuss the methodological issues and the modelling choices to represent the distribution of impacts (chapter 5). I then develop a microsimulation model to assess the impact of the French carbon tax on households. This model simulates, for a representative sample of the French population, the taxes levied on their energy consumption in housing and transport. I use this model to quantify the impact of the carbon tax on inequality and fuel poverty. Finally, I explore different scenarios of redistribution of carbon tax revenues to households, with the objective to correct the found inequities - in particular, to compensate for the regressivity of the carbon tax and to reduce fuel poverty. I evaluate the cost of these measures in respect to the amount of carbon tax revenues (chapter 6)
Pribyl, Ondrej. "A microsimulation model of activity patterns and within household interactions." 2004. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-489/index.html.
Full textCumpston, John Richard. "New techniques for household microsimulation, and their application to Australia." Phd thesis, 2011. http://hdl.handle.net/1885/9046.
Full textDuivestein, Jared. "Household Vehicle Fleet Decision-making for an Integrated Land Use, Transportation and Environment Model." Thesis, 2013. http://hdl.handle.net/1807/42825.
Full textPaleti, Ravi Venkata Durga Rajesh. "On integrating models of household vehicle ownership, composition, and evolution with activity based travel models." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-12-6687.
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"Modeling the Role and Influence of Children in Household Activity-Based Travel Model Systems." Master's thesis, 2010. http://hdl.handle.net/2286/R.I.8757.
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M.S. Civil and Environmental Engineering 2010
Musti, Sashank. "Evolution of the household vehicle fleet : anticipating fleet compostion, plug-in hybrid electric vehicle (PHEV) adoption and greenhouse gas (GHG) emissions in Austin, Texas." Thesis, 2009. http://hdl.handle.net/2152/ETD-UT-2009-12-681.
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Zhou, Bin 1977. "Land use change through market dynamics : a Microsimulation of land development, the bidding process, and location choices of households and firms." Thesis, 2009. http://hdl.handle.net/2152/23522.
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Books on the topic "Household microsimulation"
John, Landt, ed. Reweighting a base population for a microsimulation model. Canberra: National Centre for Social and Economic Modelling, Faculty of Management, University of Canberra, 1995.
Find full textO'Donoghue, Cathal. Practical Microsimulation Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198852872.001.0001.
Full textMohammadian, Abolfazl. Dynamic modelling of household automobile transactions within a microsimulation framework. 2002.
Find full textAdu-Ababio, Kwabena, and Robert Darko Osei. Effects of an education reform on household poverty and inequality: A microsimulation analysis on the free Senior High School policy in Ghana. UNU-WIDER, 2018. http://dx.doi.org/10.35188/unu-wider/2018/589-3.
Full textJara, H. Xavier, Lourdes Montesdeoca, and Iva Tasseva. The role of automatic stabilizers and emergency tax–benefit policies during the COVID-19 pandemic in Ecuador. 4th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/938-9.
Full textKisanga, Elineema, Vincent Leyaro, Wahabi Matengo, Michael Noble, Helen Barnes, and Gemma Wright. Assessing the distributional impact of lowering the value-added tax rate for standard-rated items in Tanzania and options for recouping revenue losses. 38th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/976-1.
Full textBook chapters on the topic "Household microsimulation"
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.
Full textNelissen, Jan H. M. "The Interaction of Household and Labour Market Modules in Microsimulation Models." In Household Demography and Household Modeling, 319–41. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-5424-7_14.
Full textGaller, Heinz P. "Competing Risks and Unobserved Heterogeneity, with Special Reference to Dynamic Microsimulation Models." In Household Demography and Household Modeling, 203–24. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-5424-7_9.
Full textFeldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.
Full textO’Donoghue, Cathal, Karyn Morrissey, Philip Hayes, Jason Loughrey, Joanne Banks, and Stephen Hynes. "The Spatial Distribution of Household Disposable Income." In Spatial Microsimulation for Rural Policy Analysis, 193–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30026-4_11.
Full textMorrissey, Karyn, and Cathal O’Donoghue. "Validation Issues and the Spatial Pattern of Household Income." In Spatial Microsimulation for Rural Policy Analysis, 87–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30026-4_5.
Full textvan Leeuwen, Eveline S. "Microsimulation of Rural Households." In Contributions to Economics, 115–35. Heidelberg: Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2407-0_6.
Full textBirkin, Mark. "Microsimulation." In Urban Informatics, 845–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_44.
Full text"Household allocation." In Spatial Microsimulation with R, 171–82. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b20666-13.
Full text"Household allocation." In Spatial Microsimulation with R, 171–82. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315381640-12.
Full textReports on the topic "Household microsimulation"
Diao, Xinshen, and Kristi Mahrt. Assessing the impacts of COVID-19 on household incomes and poverty in Myanmar: A microsimulation approach. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.133859.
Full textDiao, Xinshen, Gracie Rosenbach, David J. Spielman, and Emerta Aragie. Assessing the impacts of COVID-19 on household incomes and poverty in Rwanda: A microsimulation approach. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134450.
Full textDiao, Xinshen, Gracie Rosenbach, David J. Spielman, and Emerta Aragie. Synopsis Assessing the impacts of COVID-19 on household incomes and poverty in Rwanda: A microsimulation approach. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134484.
Full textDiao, Xinshen, and Kristi Mahrt. Assessing the impacts of COVID-19 on household incomes and poverty in Myanmar: A microsimulation approach - An analytical summary, in Burmese. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.133941.
Full textRoantree, Barra, Karina Doorley, Theano Kakoulidou, and Seamus O'Malley. Budget 2022. ESRI, December 2021. http://dx.doi.org/10.26504/qec2021win_sa_roantree.
Full textDoorley, Karina, and Mark Regan. The impact of Irish budgetary policy by disability status. ESRI, June 2022. http://dx.doi.org/10.26504/bp202301.
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