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Featured researches published by Martin Cicowiez.


Handbook of Computable General Equilibrium Modeling | 2013

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

Hans Lofgren; Martin Cicowiez; Carolina Diaz-Bonilla

This chapter presents MAMS (Maquette for MDG Simulations), a recursive-dynamic CGE model developed at the World Bank for analysis of medium- to long-run country strategies for low- and middle-income countries, including strategies aimed at improving MDG (Millennium Development Goals) outcomes. Compared to other CGE models, MAMS offers a unique combination of new and policy-relevant features, most importantly disaggregation of the government services by function, broad and integrated coverage of MDGs and endogenous links between education and the labor market. The chapter provides a detailed description of MAMS, the policy insights that it has generated, exemplified by a case study of Yemen and the lessons learned from developing and applying MAMS to a large number of countries.


The Journal of Environment & Development | 2016

A Conceptual Framework for Integrated Economic–Environmental Modeling

Onil Banerjee; Martin Cicowiez; Mark Horridge; Renato Vargas

Economy-wide models such as computable general equilibrium (CGE) models are powerful tools that provide insights on policy impacts on standard economic indicators. With the recent publication of the System of Environmental-Economic Accounting (SEEA), the power of this approach is amplified. This article addresses an important gap in economy-wide policy modeling applications and literature by developing a conceptual framework for the integration of the SEEA in the CGE framework, enabling for the first time the analysis of policy impacts on the economy and the environment in a quantitative, comprehensive, and consistent framework. Previous integrated modeling efforts have generally focused on the interaction between the economy and one environmental resource in isolation, requiring significant data reconciliation. Integration of SEEA into a CGE circumvents this resource intense process, enhancing analytical power, obviating the need for strong assumptions in reconciling economic–environmental data, reducing start-up costs, and increasing the timeliness of evidence-based policy advice.


The International Journal of Microsimulation | 2010

Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGE-Microsimulation Analysis

Martin Cicowiez; Osvaldo Javier Alejo; Luciano Mario Di Gresia; Sergio Olivieri; Ana Pacheco

In this paper we implement a sequential dynamic computable general equilibrium model combined with microsimulations to assess (1) the short- and long-run economic impacts of a gradual reduction in the export tax that was introduced during the economic crisis that hit Argentina at the end of 2001, and (2) the impact of a decrease in the world prices of food products, one of the country’s main export product. Our results show that the elimination of the export tax would have different long run effects depending on the fiscal instrument that is used by the government to compensate for the loss in tax revenue. On the one hand, when the government budget is equilibrated by an increased deficit, the average annual growth rate for 2008-2015 is lower than in the baseline scenario. On the other hand, when the government budget is equilibrated by an increased direct tax rate, there is a long-run positive effect on growth. In any case, the employment level is lower and the price of food items is higher. Therefore, the poverty headcount ratio increases. As expected, a reduction in the world price of food items (i.e., a worsening in Argentina’s terms of trade) would impact negatively on the country’s GDP growth rate and poverty, particularly in the rural areas.


Documentos de Trabajo del CEDLAS | 2017

Reconciliation Once and For All: Economic Impact Evaluation and Social Cost Benefit Analysis

Onil Banerjee; Martin Cicowiez; Adela Moreda

There is a debate in the literature on the appropriate methods and metrics for evaluating the economic impacts of tourism investments. Available analytical techniques include input-output modelling, computable general equilibrium modelling, cost benefit analysis, expenditure-based methods, and others. Metrics of benefits often include indicators such as gross regional product, household income and measures of welfare, while the choice of appropriate metrics will in part be conditioned by from whose perspective the analysis is undertaken. In this paper, we capitalize on the strengths of general equilibrium and cost benefit analytical techniques and develop an integrated approach to evaluating public investments in tourism. We apply the approach to the evaluation of a US


Archive | 2015

A Framework for Ex-Ante Economic Analysis of Tourism Investments: An Application to Haiti

Onil Banerjee; Martin Cicowiez; Sebastien Gachot

6.25 million tourism investment in Uruguay from the perspective of a multi-lateral development bank and the beneficiary government. The approach developed here is powerful in that it captures first and subsequent rounds of investment impacts both on the benefits and costs side; resource diversion and constraints are accounted for, and; the estimation of benefits is consistent with the welfare economics underpinnings of cost benefit analysis.


Review of Development Economics | 2018

Boosting Tourism's Contribution to Growth and Development: Analysis of Evidence

Martin Cicowiez; Onil Banerjee; Emily Morris

This study develops a linked regional computable general equilibrium and micro-simulation (RCGE-MS) model to assess the regional economy-wide and poverty impacts of a US


Journal of Sustainable Tourism | 2018

Financing the sustainable management of Rwanda's protected areas

Onil Banerjee; Martin Cicowiez; Thomas O. Ochuodho; Michel Masozera; Bernabas Wolde; Pankaj Lal; Sebastian Dudek; Janaki Alavalapati

36 million investment in tourism in the south of Haiti. The first social accounting matrix for Haiti with a base year of 2012/2013 was constructed to calibrate the model. This research addresses three key gaps identified in the tourism impact assessment literature. First, a destination-specific tourism demand and value chain analysis was used to calibrate the shocks implemented in the model. Second, the RCGE-MS approach moves beyond the representative household configuration to enable more robust analysis of tourism investment impacts on poverty and income inequality. Third, results of this modelling were used to inform a social cost-benefit analysis to provide greater transparency in the evaluation of trade-offs between investment alternatives. Results of this analysis showed a positive impact on sectoral activity, especially for the hotel and restaurant sector (182.1% in 2040) and a 2.0% increase in Gross Regional Product by 2040. The Souths exports fell 4.7% below baseline and imports were 6.1% higher due to the inflow of foreign exchange, the appreciation of the regional real exchange rate, increased demand for most goods and services, and limited regional productive capacity. The rate of unemployment fell from 26% to 23%. The investment helped lift some of the region?s poorest out of poverty, reducing the poverty headcount by 1.6 percentage points. Driving this result was an increase in employment, wages and non-labor income. The linked RCGE-MS approach proves to be a powerful tool for assessing how tourism investments affect regional economic activity and revealing the mechanisms through which tourism can contribute to increased employment opportunities and poverty reduction.


Archive | 2017

A GEM for streamlined dynamic CGE analysis : structure, interface, data, and macro application

Martin Cicowiez; Hans Lofgren

In this study we develop an evidence-based tool to help to guide policy and investment choices, to maximize developmental returns from tourism. Specifically, we develop a tourism-extended social accounting matrix and computable general equilibrium and microsimulation models customized for tourism investment analysis. To demonstrate the approach, we develop these data structures for Belize, at both national and regional levels. The framework developed herein can be used to quantify the direct and indirect, and short- and long-run impacts of tourism investments. Anticipating application of the approach to tourism investment analysis in the Central American Region, we provide a stock take of the availability of data to develop a similar suite of models for other countries in the region.


Archive | 2017

A Quantitative Assessment of Strategies to Achieve the Sustainable Development Goals: An Application to Guatemala

Onil Banerjee; Martin Cicowiez; Mark Horridge; Renato Vargas

ABSTRACT Rwandas Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion and the highest number of threatened species internationally. Nyungwe supplies critical ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for financing enhanced visitor experiences and the sustainable management of the Park. This paper explores quantitatively the economic impacts of adjustment in Park visitation fees and tourism demand as a source of revenues to improve Park tourism opportunities and ongoing operations and maintenance. The methods developed in this paper are novel in integrating the results of stated preference techniques with a regional computable general equilibrium modelling approach to capture multisectoral, direct, indirect and induced impacts. Such methods have strong potential for assessing revenue generation alternatives in other contexts where park managers are faced with the need to generate additional revenue for sustainable park management while facing diminishing budget allocations. Results of this analysis demonstrate that adjustment of Park fees has a relatively small impact on the regional economy and well-being when compared with a strategy aimed at generating increased tourism demand through investment in improving the visitor experience at Nyungwe National Park.


Archive | 2017

Building macro SAMs from cross-country databases : method and matrices for 133 countries

Martin Cicowiez; Hans Lofgren

This paper provides an overview, macro application, and detailed documentation of GEM-Core, a dynamic computable general equilibrium (CGE) model designed for medium- and long-run policy analysis. GEM stands for General Equilibrium Model. GEM-Core can address the issues that typically are relevant for CGE analysis for developing countries, including fiscal space (with its spending, tax, and foreign aid aspects), public investment, social safety nets, trade, jobs, demography, poverty, and inequality. The model is a template model in the sense that, given an appropriately formatted database, applications for different countries can quickly be developed. The data needed for macro applications are very limited, making it possible to apply the model on short notice to virtually any country, including fragile and low-income countries. GEM-Core comes with a user-friendly Excel-based interface through which the analyst may choose between alternative country databases and, for the selected database, do the analysis (define and analyze simulations, including adjustment of selected data and assumptions). The interface lowers entry barriers to CGE modeling and provides a platform around which training may be organized, making it possible to focus courses on economics instead of computer programming.

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Dive into the Martin Cicowiez's collaboration.

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Onil Banerjee

Inter-American Development Bank

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Leonardo Gasparini

National University of La Plata

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Luciano Mario Di Gresia

National University of La Plata

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Omar O. Chisari

Universidad Argentina de la Empresa

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Sebastien Gachot

Inter-American Development Bank

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Ana Pacheco

National University of La Plata

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