Person: Ruggeri Laderchi, Caterina
Global Practice on Poverty
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Ruggeri Laderchi, Caterina, Ruggeri-Laderchi, Caterina, Laderchi, Caterina R.
Fields of Specialization
Poverty, Inequality
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Global Practice on Poverty
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Last updated:January 31, 2023
Biography
Caterina Ruggeri Laderchi is a senior economist in the World Bank's Poverty Global Practice. She joined the World Bank in 2003, and has experience working on Latin America, East Africa, Eastern Europe and East Asia. Her main areas of work are poverty, inequality and social inclusion; distributional impacts of different policies, particularly energy pricing; gender issues and labor markets. Ms Ruggeri Laderchi holds a doctorate in economics from the University of Oxford, and worked for the Human Development Report of UNDP and the European Commission before joining the World Bank.
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Publication Energy Subsidy Reform Assessment Framework: Analyzing the Incidence of Consumer Price Subsidies and the Impact of Reform on Households — Quantitative Analysis(World Bank, Washington, DC, 2018-06-30) Olivier, Anne; Ruggeri Laderchi, CaterinaThis note aims to provide guidance on how to assess the distributional implications of energy subsidy reform (ESR) using quantitative methods.It is intended for use by those familiar with the basics of welfare measurement, ideally part of a multi-disciplinary team. Ideally this assessment would therefore be complemented by insights from qualitative analysis and by an analysis of the effectiveness of feasible compensatory measures. The note focuses on how to assess the distributional implications of household level impacts of ESR (as opposed to firm level, discussed in Good Practice Note 6). Its scope is confined to cases where ESRs lead to higher prices paid by energy consumers. As Good Practice Note 1 outlines, ESRs do not necessarily lead to higher prices, and could even decrease prices actually paid, such as when producer subsidies in the form of price support paid for by consumers are eliminated, or when consumer price subsidies lead to illegal diversion and out-smuggling, acute fuel shortages, and prices that are even higher than official prices on the black markets. The latter is particularly important, because a lack of data often forces the distributional analysis of ESRs to take observed expenditures on subsidized energy and scale them in proportion to the calculated price gaps—the gap between the unsubsidized price and the official price—to estimate the incidence of subsidies, whereas in practice consumers may be paying much higher prices than the official prices. Further, this note is not confined only to ESRs in that the distributional effects of higher prices of fuels used as feed stocks—such as natural gas used in fertilizer manufacturer—are also captured. In addition, while this note tries to present a general approach, practical pointers are provided that are relevant for the analysis of different types of energy, the prices of which are rising, and which are used either directly or in the production of goods and services widely in the economy. Overall, therefore, the note discusses the analysis of liquid fuels, gas, electricity and district heating (a source of heating used primarily in Eastern Europe). The word prices applies to all forms of energy, while tariffs applies to schedules of regulated prices that are applicable to regulated electricity, gas, or district heating. For households—the focus of this paper—two main channels of impacts can be identified, relating respectively to consumption patterns and income streams. goth consumption and income can be affected directly by higher prices for energy, or indirectly through other price changes triggered by the changes in energy prices (most notably through higher transport costs caused by rises in gasoline and diesel prices). These indirect effects, though harder to quantify than direct effects, can be significant for petroleum products.Publication Poverty and Social Exclusion in Bosnia and Herzegovina: Insights from the 2011 Extended Household Budget Survey(World Bank, Washington, DC, 2015) Ceriani, Lidia; Ruggeri Laderchi, CaterinaIn 2011 the statistical authorities of Bosnia-Herzegovina collected for the first time a national survey which allows monitoring the European indicators of poverty and social exclusion as well as national indicators of absolute and relative consumption poverty. The Extended Household Budget Survey (EHBS) adds extra modules to a standard Household Budget Surveys (HBS) designed to collect detailed information on household expenditures. The additional modules covered the information needed to measure poverty and social exclusion in EU Member states. In this way, the EHBS represents a hybrid solution between collecting a HBS and a Survey of Income and Living Conditions (SILC), the official tool for measuring poverty and social exclusion in the EU, which omits expenditure information. The note is structured as follows: section two presents a detailed description of the data, while section three discusses the three constituent indicators of AROPE, and their mutual relation, i.e. their union (the AROPE indicator) and their intersection. Section four presents additional dimensions of exclusion on which data have been collected, especially those relating to children. Section five presents a comparison of indicators of monetary poverty and social exclusion. Finally, section six summarizes the most interesting elements which have emerged from this analysis and concludes.Publication Who Benefits from Promoting Small and Medium Scale Enterprises? Some Empirical Evidence from Ethiopia(World Bank, Washington, DC, 2008-05) Teal, Francis; Rijkers, Bob; Ruggeri Laderchi, CaterinaThe Addis Ababa Integrated Housing Development Program aims to tackle the housing shortage and unemployment that prevail in Addis Ababa by deploying and supporting small and medium scale enterprises to construct low-cost housing using technologies novel for Ethiopia. The motivation for such support is predicated on the view that small firms create more jobs per unit of investment by virtue of being more labor intensive and that the jobs so created are concentrated among the low-skilled and hence the poor. To assess whether the program has succeeded in biasing technology adoption in favor of labor and thereby contributed to poverty reduction, the impact of the program on technology usage, labor intensity, and earnings is investigated using a unique matched workers-firms dataset, the Addis Ababa Construction Enterprise Survey. The data are representative of all registered construction firms in Addis and were collected specifically for the purpose of analyzing the impact of the program. The authors find that program firms do not adopt different technologies and are not more labor intensive than non-program firms. There is an earnings premium for program participants, who tend to be relatively well-educated, which is heterogeneous and highest for those at the bottom of the earnings distribution.Publication Who Benefits from Promoting Small Enterprises? Some Empirical Evidence from Ethiopia(2010) Teal, Francis; Rijkers, Bob; Ruggeri Laderchi, CaterinaThe Addis Ababa Integrated Housing Development Program (AAIHDP) aims to tackle the housing shortage and unemployment that prevail in Addis Ababa by deploying and supporting small enterprises to construct low-cost housing using technologies novel for Ethiopia. The motivation for such support is predicated on the view that small firms create more jobs per unit of investment by virtue of being more labor intensive and that the jobs so created are concentrated among the low-skilled and hence the poor. To assess whether the program has succeeded in biasing technology adoption in favor of labor and thereby contributed to poverty reduction, the impact of the program on technology usage, labor intensity, and earnings is investigated using a unique matched workers-firms dataset, the Addis Ababa Construction Enterprise Survey (AACES), collected specifically for the purpose of analyzing the impact of the program. We find that program firms do not adopt different technologies and are not more labor intensive than nonprogram firms. There is an earnings premium for program participants, who tend to be relatively well educated, which is heterogeneous and highest for those at the bottom of the earnings distribution.