Multidimensional and Fuzzy Measures of Poverty and Inequality in Turkey at National and Regional Level

Betti, Gianni; Çalik, Güllü; Karakaş, Murat

doi:10.1007/978-1-4614-5263-8_4

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…2 For instance Maasoumi (1986); Maasoumi and Lugo (2008) incorporate the information theory to the determination of multidimensional poverty in a two-step framework: the first step determines the right indicators to measure welfare, the second step is to choose an inequality index to assess the degree of multidimensional poverty. Recently, Betti et al (2006Betti et al ( , 2013 follow the approach offered in Cerioli and Zani (1990) and measure multidimensional poverty by using the fuzzy set approach, which underlines the importance of observing the deprivation level of individuals within the whole distribution of income and other living conditions. Cerioli and Zani (1990), Martinetti (1994), Deutsch and Silber (2006), Chakravarty (2019) also follow the fuzzy set approach to measure multidimensional poverty and highlight the positive gateways of multidimensional poverty calculations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…health) (Saatci and Akpinar 2007). Poverty is a socioeconomic problem in Turkey, creating various channels across an array of social and economic fundamentals of the society (Buğra and Keyder 2003;Kalaycioglu 2006;Betti et al 2013). Recently, a number of studies followed the Alkire and Foster (2011a) approach to understand multidimensional poverty in Turkey (Acar 2014;Karadağ and Saraçoğlu 2015;Uğur 2015;Limanli 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Here we briefly sketch-out the central studies dealing with different methods to measure multidimensional poverty. SeeDeutsch and Silber (2005), Alkire and Foster (2011a),Betti et al (2013) for a more detailed discussion on the pros and cons of different approaches to measure multidimensional poverty.…”

mentioning

confidence: 99%

“…Betti et al (2013) use the fuzzy set approach and examine the regional dimension of multidimensional poverty at regional scale in Turkey. Results remark the existence of regional differences in multidimensional poverty at NUTS I level (12 Regions).…”

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confidence: 99%

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The Topography and Sources of Multidimensional Poverty in Turkey

Karahasan

Bilgel

2021

Soc Indic Res

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Economic inequality and poverty have been extensively analyzed in monetary terms. However, other aspects of poverty, such as education, health, environment and standards of living are important factors, essential for human well-being and capabilities. Using a host of non-monetary aspects of poverty, this paper sheds light on the geographical distribution of multidimensional poverty in Turkey. Results from survey data highlight that the regional distribution non-monetary dimensions of poverty is conspicuously different than that of relative monetary poverty in Turkey. Unlike the relative monetary poverty rate, multidimensional poverty measurement reflects the regional underdevelopment problem of Turkey. On the contrary, once monetary poverty is considered in absolute terms, multidimensional and absolute monetary poverty have a similar geographical pattern. Moreover, the decomposition analyses point out that females, old disabled and socially excluded individuals suffer the most from multidimensional poverty. Our combined results show that the isolated eastern regions realize the highest poverty and deprivation at each decomposition level.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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The Topography and Sources of Multidimensional Poverty in Turkey

Karahasan

Bilgel

2021

Soc Indic Res

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“…The effect of 2008 Great recession in the EU Mediterranean area have been considered by [49] where a fuzzy sets approach for the measurement of multidimensional poverty from 2007 to 2015 have been applied. The same methodology for both non-monetary and monetary poverty indicators have been provided by [50,51].…”

Section: Economic and Inequality Situation In The Mediterranean Countriesmentioning

confidence: 99%

Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries

2020

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Over the last years, there has been an increased interest in compiling poverty indicators as well as in providing uncertainty measures both at national and regional level. In this paper, we provide point and variance estimates of two widely used income-poverty indicators, which belong to the class of the Foster-Greer-Thorbecke (FGT), and two widely used income-inequality indicators. We focused on Mediterranean countries since they have been severely hit by the Great Recession which increased poverty intensity and socio-economic inequalities. By using the 2018 EU-SILC data we analysed the spatial distribution of poverty by constructing maps at NUTS2 territorial level. Our estimation results reveal that national poverty indicators hide a high heterogeneity of poverty across regions within each country, especially for Italy and Spain. This study also provides computations of standard errors at regional level which have been explored only in a limited number of papers. To this aim we adopted the Jackknife replication method thanks to its convenient properties. As expected, the uncertainty measure is influenced by the reduced number of sampling units in each NUTS2 region especially in some regions of Spain and Italy. The Jackknife method proved to perform well in the case of income-inequality indicators especially for Greece, Italy, Croatia and Portugal.

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