MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis

Löfgren, Hans; Cicowiez, Martín; Díaz-Bonilla, Carolina

doi:10.1016/b978-0-444-59568-3.00004-3

Cited by 51 publications

(43 citation statements)

References 18 publications

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“…However, I closely follow Arndt et al (2000) and Lofgren et al (2013) for the specification of many structural and empirical features of the Congolese economy, namely an explicit modeling of trade and transportation costs for marketed commodities and relatively detailed description of home production. A full description of the CGE model can be found in Otchia (2014).…”

Section: Congolese Computable General Equilibrium Modelmentioning

confidence: 99%

Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo

Otchia

2014

Economic Structures

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This paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC. The findings indicate that labor-using technological change generates absolute and relative pro-poor effects whereas capital-using technological change leads to immiserizing growth. More importantly, the results suggest that labor-using technological change can be independently sufficient for reducing poverty via the income growth effects. This study also highlights how developing input supply networks, securing tenure among smallholders, and improving access to land for women are important for pro-poor agricultural modernization.

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Section: Congolese Computable General Equilibrium Modelmentioning

confidence: 99%

Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo

Otchia

2014

Economic Structures

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“…The economic model builds on the long tradition of computable general equilibrium (CGE) models, which have been extensively applied for economic policy analysis (see for example Allan et al, 2014;Lofgren et al, 2013;Zodrow & Diamond, 2013). CGE models are based on a detailed theoretical framework simulating the behavior of various agents and depicting relationships between subjects in an economy described by a set of parameters, equations and conditions that are to be satisfied simultaneously.…”

Section: General Modeling Approachmentioning

confidence: 99%

Later school start times in the U.S.: An economic analysis

Hafner¹,

Štěpánek²,

Troxel³

2017

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“…In these cases, we relax the relatively rigid representative agent structure proper of CGE models and rely on the empirical literature (Ravallion 1997(Ravallion , 2001Bourguignon 2003) and on few modelling exercises (Lofgren et al 2013;Hilderink et al 2009). Regarding the first indicator, a key element to consider is the growth elasticity of poverty i.e.…”

Section: An Introduction To the Prospective Analysismentioning

confidence: 99%

“…While most of global CGE models assume only one type of household, Lofgren et al (2013) and Hilderink et al (2009) assume that income distribution is constant over time. We try to overcome this assumption relying on the recent empirical literature on determinants of within-country inequality, both country-specific and across-countries analyses, such as differentials in labour productivity between agricultural and non-agricultural sectors (Bourguignon and Morrison 1998), sectoral wage differentials between skilled and un-skilled labour, globalization, education rates, market reforms and policy interventions (Alvaredo and Gasparini 2015).…”

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confidence: 99%

Assessing SDGs: A New Methodology to Measure Sustainability

et al. 2016

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SummaryThe FEEM project APPS -Assessment, Projections and Policy of Sustainable Development Goalsfocuses on the quantitative assessment of the seventeen Sustainable Development Goals (SDGs), adopted by the United Nations at the end of September 2015. The project consists of two phases. The first, retrospective, computes indicators for all SDGs in 139 countries and then derives a composite multi-dimensional index and a worldwide ranking of current sustainability. This allows informing on strengths and weaknesses of today socio-economic development, as well as environmental criticalities, all around the world. The second phase, prospective, aims at evaluating the future trends of sustainability in the world by 2030. The assessment of the SDGs is carried out by means of an extended version of the recursivedynamic computable general equilibrium ICES macro-economic model that includes social and environmental indicators. The final goal is to highlight future challenges left unsolved in next 15 years of socio-economic development and analyze costs and benefits of specific policies to support the achievement of proposed targets. This paper presents the methodology and the results of the retrospective assessment. Five main steps are described: i) screening of indicators eligible to address the UN SDGs; ii) data collection from relevant sources; iii) organization in the three pillars of sustainability (economy, society, environment); iv) normalization to a common metrics; v) aggregation of the 25 indicators in composite indices by pillars as well as in the multi-dimensional index. The final ranking summarizes countries' sustainability performance. As expected, Middle-North European countries are at top of the ranking (Sweden, Norway and Switzerland the first three), with the most industrialized European countries such as Germany and UK, however, penalized by insufficient environmental performance. Other highly developed countries are between 24 th (Canada) and 52 nd place (United States). The emerging nations are scattered in our sustainability ranking. Brazil (43

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MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis

Cited by 51 publications

References 18 publications

Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo

Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo

Later school start times in the U.S.: An economic analysis

Assessing SDGs: A New Methodology to Measure Sustainability

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