Mateusz Filipski
International Food Policy Research Institute
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Featured researches published by Mateusz Filipski.
Journal of Development Effectiveness | 2012
Mateusz Filipski; J. Edward Taylor
We use a disaggregated rural economy-wide modelling framework to simulate and compare the impacts of an input subsidy, cash transfer, and output price support on production and welfare in rural Malawi and Ghana. Household groups in the models are defined by their eligibility for current transfers. Simulations are calibrated to official government spending. No intervention appears as unequivocally superior. The impacts and efficiency of each transfer mechanism are shaped by the structure of the economy, market conditions, and programme design.
Proceedings of the National Academy of Sciences of the United States of America | 2016
J. Edward Taylor; Mateusz Filipski; Mohamad Alloush; Anubhab Gupta; Ruben Irvin Rojas Valdes; Ernesto Gonzalez-Estrada
Significance The number of refugees displaced by civil conflict or natural disasters is on the rise. Economic impacts of refugees on host countries are controversial and little understood, because data have not been available and the question of refugee impacts does not lend itself to conventional impact evaluation methods. We use a unique Monte Carlo simulation approach with microdata from refugee and host-country surveys to obtain the first estimates of refugee camps’ impacts on surrounding host-country economies and to compare impacts of cash versus in-kind refugee aid. An additional refugee increases total real income within a 10-km radius around two cash camps by significantly more than the aid the refugee receives. Impacts around a camp receiving in-kind (food) aid are smaller. In 2015, the United Nations High Commission for Refugees accommodated over 15 million refugees, mostly in refugee camps in developing countries. The World Food Program provided these refugees with food aid, in cash or in kind. Refugees’ impacts on host countries are controversial and little understood. This unique study analyzes the economic impacts of refugees on host-country economies within a 10-km radius of three Congolese refugee camps in Rwanda. Simulations using Monte Carlo methods reveal that cash aid to refugees creates significant positive income spillovers to host-country businesses and households. An additional adult refugee receiving cash aid increases annual real income in the local economy by
BMC Health Services Research | 2015
Mateusz Filipski; Yumei Zhang; Kevin Z. Chen
205 to
Archive | 2013
Mateusz Filipski; Dale Manning; J. Edward Taylor; Xinshen Diao; Angga Pradesha
253, significantly more than the
Agricultural Policies for Poverty Reduction; pp 89-108 (2012) | 2012
Jonathan Brooks; Mateusz Filipski; Erik Jonasson; Edward Taylor
120–
The Singapore Economic Review | 2016
Yumei Zhang; Mateusz Filipski; Kevin Z. Chen
126 in aid each refugee receives. Trade between the local economy and the rest of Rwanda increases by
OECD Food, Agriculture and Fisheries Papers | 2011
Jonathan Brooks; Mateusz Filipski; Erik Jonasson; J. Edward Taylor
49 to
Archive | 2014
J. Edward Taylor; Mateusz Filipski
55. The impacts are lower for in-kind food aid, a finding relevant to development aid generally.
American Journal of Agricultural Economics | 2013
Karen Thome; Mateusz Filipski; Justin Kagin; J. Edward Taylor; Benjamin B. Davis
BackgroundIn 2002, China launched the largest public health insurance scheme in the world, the New Cooperative Medical Scheme (NCMS). It is intended to enable rural populations to access health care services, and to curb medical impoverishment. Whether the scheme can reach its equity goals depends on how it is used, and by whom. Our goal is to shed light on whether and how income levels affect the ability of members to reap insurance benefits.MethodsWe exploit primary panel data consisting of a complete census (over 3500 individuals) in three villages in Puding County, Guizhou province, collected in 2004, 2006, 2009 and 2011. Data was collected during in-person interviews with household member(s). The data include yearly gross and net medical expenses for all individuals, and socio-economic information. We apply probit, ordinary least squares, and tobit multivariate regression analyses to the three waves in which NCMS was active (2006, 2009 and 2011). Explained variables include obtainment, levels and rates of NCMS reimbursement. Household income is the main explanatory variable, with household- and individual-level controls. We restrict samples to rule out self-selection, and exploit the 2009 NCMS reform to highlight equity-enhancing features of insurance.ResultsPrior to 2009 reforms, higher income in our sample was statistically significantly related to higher probability of obtaining reimbursement, as well as higher levels and rates of reimbursement. These relations all disappear after the reform, suggesting lower-income households were better able to reap insurance benefits after the scheme was reformed. Regression results suggest this is partly explained by reimbursement for chronic diseases.ConclusionsThe post-reform NCMS distributed benefits more equitably in our study area. Making health insurance pro-poor may require a focus on outpatient costs, credit constraints and chronic diseases, rather than catastrophic illnesses.
World Development | 2011
Mateusz Filipski; J. Edward Taylor; Siwa Msangi
This paper presents the findings of a local economywide impact evaluation of Feed the Future irrigation projects in the Morogoro region of Tanzania, using a local economy-wide impact evaluation (LEWIE) simulation model. The findings indicate that these irrigation projects can generate important indirect impacts within the region. The structure of local markets, as well as labor and land availability, shapes project spillovers in ways that point to future directions for development assistance in the region.