Updating Poverty Maps Between Censuses: A Case Study of Albania

Betti, Gianni; Dabalen, Andrew; Ferré, Céline; Neri, Laura

doi:10.1007/978-1-4614-4945-4_5

Cited by 8 publications

(8 citation statements)

References 6 publications

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“…In particular, Dabalen and Ferrè (2008) have shown how to implement the Lemieux (2002) approach to link the new HBS with the old HBS, and then update the poverty mapping through the use of the old Census. Moreover, Betti et al (2013) have demonstrated that this updating is still valid also after several years, that is, when the poverty mapping is further updated with a third, more recently updated HBS. Otherwise, if a more recent HBS or LSMS is not available but, instead, there is a recent survey not covering consumption expenditure information, the proposed methodology could be complemented by the two methods proposed by Azzarri et al (2006), or Dang et al (2014Dang et al ( , 2017.…”

Section: Discussion Further Research and Concluding Remarksmentioning

confidence: 91%

Using Poverty Maps to Improve the Design of Household Surveys: The Evidence from Tunisia

Betti¹,

Molini²,

Pavelesku³

2021

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Discussion Further Research and Concluding Remarksmentioning

confidence: 91%

Using Poverty Maps to Improve the Design of Household Surveys: The Evidence from Tunisia

Betti¹,

Molini²,

Pavelesku³

2021

Policy Research Working Papers

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“…According to the results of the model, living in Tirana makes people feel themselves better off than people that live in Central, Coastal or Mountain region. This difference is more visible if we go in the smaller divisions (Betti et al, 2013). …”

Section: Geographic Variablementioning

confidence: 93%

Poor or Just Feeling Poor-Situation in Albania

Bici

Mancellari

2017

ESJ

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There exist different methods and definition how to measure poverty. It can be measured by income or consumption, objectively or as a perception of individuals for their socio-economic situation.The objective and subjective poverty are highly correlated and both are influenced by socioeconomic factors. Till now, it is the objective poverty mostly considered while the subjective one has been analyzed only as a part of it. Assessments of the subjective poverty are more scarce, especially in the case of transition countries. Different studies proposed advantages and disadvantages of using each method. The significance of different factors shows the characteristics and the trend of monetary or subjective poverty. The national poverty is Albania is calculated through monetary poverty. There are a set of influenced factors related with household composition, geographic division, education and other socio-economic indicators. In this paper we analyze the perception of individuals for the poverty, the relationship of this perception with the objective poverty, and the socio-demographic factors that influence the probability of being poor. There are used the data from the Albanian Living Standard Measurement Survey (LSMS).

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“…The ESPREE method relies on updating multi-way contingency tables which is computationally tractable only for a limited number of categorical explanatory variables and an outcome indicator which is a proportion, for instance the number of people who live below the poverty line. A more general updating procedure is described in Betti et al (2013). Their propensity score approach also aims at obtaining a covariate distribution in the census as if it was collected at the time of the recent survey.…”

Section: Introductionmentioning

confidence: 99%

“…A more general updating procedure is described in Betti et al . (2013). Their propensity score approach also aims at obtaining a covariate distribution in the census as if it was collected at the time of the recent survey.…”

Section: Introductionmentioning

confidence: 99%