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Dive into the research topics where Lidia Ceriani is active.

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Featured researches published by Lidia Ceriani.


Journal of Development Studies | 2013

The income lever and the allocation of aid

Lidia Ceriani; Paolo Verme

Abstract The article develops a concept and a measure of the monetary capacity of a country to reduce its own poverty and shows how these tools can be used to guide budget allocations or the allocation of aid. The authors call this concept the income lever. Making use of tax and distributive theory, the article shows how different redistributive criteria correspond to the different normative criteria of the income lever. It then constructs various income lever indexes based on these criteria and uses such indexes to rank countries according to their own capacity to reduce poverty.


Archive | 2009

A Path-Dependent Poverty Measure

Lidia Ceriani

The paper provides the axiomatic characterization of a new poverty measure, the path-dependent poverty index. This is a two period index taking into account not only individuals current and past deprivation levels, but also the relative position with respect to their previous income status. Given two populations with the same distribution of incomes, path-dependent poverty is higher for the population where all individuals experienced an income fall. Not only they are poor, they also feel the pain for their loss. The new index is illustrated with an application to EU countries.


Review of Income and Wealth | 2014

Rent imputation for welfare measurement : a review of methodologies and empirical findings

Carlos Felipe Balcázar; Lidia Ceriani; Sergio Olivieri; Marco Ranzani

As well acknowledged in the literature, housing is often the dominant consumption good for most households. As such, it should be included in a comprehensive welfare aggregate to measure peoples living standards accurately. However, assigning a value to the flow of the dwelling for homeowners and nonmarket tenants is problematic. Over the last decades several estimation techniques have been proposed and implemented by practitioners covering from very simple to sophisticated approaches. This paper provides an extensive review of different methods to impute rent, commonly used for welfare analysis. It also gives an overview of how this problem has been addressed by other economic domains, namely national accounts, price indices, purchasing power parities, and taxation. Finally, after setting up a theoretical framework, the paper summarizes the empirical findings about the distributional impact of including imputed rents in welfare aggregates.


Archive | 2017

Arithmetics and Politics of Domestic Resource Mobilization

Kimberly Blair Bolch; Lidia Ceriani; Luis Felipe López-Calva

The 2015 United Nations resolution on Financing for Development stresses the importance of effective resource mobilization and use of domestic resources to pursue sustainable development. The first Sustainable Development Goal is to eradicate extreme poverty for all people everywhere by 2030. This paper proposes an accounting exercise to assess whether it is feasible for countries to eliminate poverty using only domestic resources, in other words, by mere redistribution. Moreover, the paper argues that the concentration of resources in the hands of fewer individuals in the society may hinder the feasibility of implementing effective fiscal policies (from the revenue side and the social spending side) to reduce poverty. The paper provides a new tool to assess the capacity of countries to eliminate poverty through redistribution, and a new tool to approximate the concentration of political influence in a country. The new methodologies are applied to the most recent surveys available for more than 120 developing countries. The findings show that countries with the same fiscal capacity to mobilize resources for poverty eradication differ widely in the political feasibility of such redistribution policies.


Archive | 2015

Understanding poverty reduction in Sri Lanka: evidence from 2002 to 2012/13

Lidia Ceriani; Maria Gabriela Inchauste Comboni; Sergio Olivieri

This paper quantifies the contributions to poverty reduction observed in Sri Lanka between 2002 and 2012/13. The methods adopted for the analysis generate entire counterfactual distributions to account for the contributions of demographics, labor, and non-labor incomes in explaining poverty reduction. The findings show that the most important contributor to poverty reduction was growth in labor income, stemming from an increase in the returns to salaried nonfarm workers and higher returns to self-employed farm workers. Although some of this increase in earnings may point to improvements in productivity, defined as higher units of output per worker, some of it may simply reflect increases in food and commodity prices, which have increased the marginal revenue product of labor. To the extent that there have been no increases in the volumes being produced, the observed changes in poverty are vulnerable to reversals if commodity prices were to decline significantly. Finally, although private transfers (domestic and foreign) helped to reduce poverty over the period, public transfers were not as effective. In particular, the reduction in the real value of transfers of the Samurdhi program during 2002 to 2012/13 slowed down poverty reduction.


Journal of Economic Inequality | 2012

The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini

Lidia Ceriani; Paolo Verme


Journal of Economics | 2011

Consumer surplus and the reform of network industries: a primer

Lidia Ceriani; Massimo Florio


The International Journal of Microsimulation | 2013

The importance of choosing the data set for tax-benefit analysis

Lidia Ceriani; Carlo V. Fiorio; Chiara Gigliarano


Social Indicators Research | 2014

Individual diversity and the Gini decomposition

Lidia Ceriani; Paolo Verme


Archive | 2008

A primer on the welfare effects of regulatory reforms in network industries

Lidia Ceriani; Massimo Florio

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Sergio Olivieri

National University of La Plata

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Chiara Gigliarano

Marche Polytechnic University

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