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Author: Lire Ersado Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
While the Azerbaijan household income and expenditure survey (HIES) data satisfy most empirical regularities expected in a typical household survey data, the unequality measures based on the data are unusually low. For example, for the latest three years for which we have data (2002-2004), the consumption Gini coefficient (the commonly used summary measure of inequality) is in the range of 16-18 percent. This is among the lowest Gini coefficients ever observed in any country, and is extremely low even with the standard of countries generally considered as most equal in the world. Azerbaijan, a transitional economy with a significant natural resource base, is unlikely to be the most equal country in the world. The objective of this paper is to investigate why inequality measures are unusually low in the Azerbaijan household survey data. The author presents a methodology for diagnosing and identifying the potential sources of low inequality in the data, including cluster analysis at the primary sampling unit level. The main inference from the findings of the cluster analysis is that the observed low inequality indices are not due to poor supervision of the interviewers and the data collection process. The author finds that the main culprits for the observed low inequality in the HIES data are (1) the low participation rates of wealthy households in the household surveys, and (2) the widespread availability of well-targeted public and private transfers.
Author: Lire Ersado Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
While the Azerbaijan household income and expenditure survey (HIES) data satisfy most empirical regularities expected in a typical household survey data, the unequality measures based on the data are unusually low. For example, for the latest three years for which we have data (2002-2004), the consumption Gini coefficient (the commonly used summary measure of inequality) is in the range of 16-18 percent. This is among the lowest Gini coefficients ever observed in any country, and is extremely low even with the standard of countries generally considered as most equal in the world. Azerbaijan, a transitional economy with a significant natural resource base, is unlikely to be the most equal country in the world. The objective of this paper is to investigate why inequality measures are unusually low in the Azerbaijan household survey data. The author presents a methodology for diagnosing and identifying the potential sources of low inequality in the data, including cluster analysis at the primary sampling unit level. The main inference from the findings of the cluster analysis is that the observed low inequality indices are not due to poor supervision of the interviewers and the data collection process. The author finds that the main culprits for the observed low inequality in the HIES data are (1) the low participation rates of wealthy households in the household surveys, and (2) the widespread availability of well-targeted public and private transfers.
Author: Lire Ersado Publisher: ISBN: Category : Azerbaijan Languages : en Pages : 24
Book Description
While the Azerbaijan household income and expenditure survey (HIES) data satisfy most empirical regularities expected in a typical household survey data, the inequality measures based on the data are unusually low. For example, for the latest three years for which we have data (2002 - 2004), the consumption Gini coefficient (the commonly used summary measure of inequality) is in the range of 16 - 18 percent. This is among the lowest Gini coefficients ever observed in any country, and is extremely low even with the standard of countries generally considered as most equal in the world. Azerbaijan, a transitional economy with a significant natural resource base, is unlikely to be the most equal country in the world. The objective of this paper is to investigate why inequality measures are unusually low in the Azerbaijan household survey data. The author presents a methodology for diagnosing and identifying the potential sources of low inequality in the data, including cluster analysis at the primary sampling unit level. The main inference from the findings of the cluster analysis is that the observed low inequality indices are not due to poor supervision of the interviewers and the data collection process. The author finds that the main culprits for the observed low inequality in the HIES data are (1) the low participation rates of wealthy households in the household surveys, and (2) the widespread availability of well-targeted public and private transfers.
Author: Angela Baschieri Publisher: ISBN: Category : Azerbaijan Languages : en Pages : 80
Book Description
"Poverty maps"-that is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disgaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data.
Author: Asli Demirguc-Kunt Publisher: World Bank Publications ISBN: 1464812683 Category : Business & Economics Languages : en Pages : 228
Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Author: International Monetary Fund Publisher: International Monetary Fund ISBN: 1451802617 Category : Political Science Languages : en Pages : 15
Book Description
This paper presents the Joint Staff Assessment of the State Program on Poverty Reduction and Economic Development 2003–2005 (SPPRED)—the first full Poverty Reduction Strategy Paper (PRSP) of Azerbaijan. The SPPRED represents a joint effort between the government and civil society in the country. There remain areas where progress needs to be made during the implementation and subsequent updates of the SPPRED. The poverty analysis has improved compared with the Interim Poverty Reduction Strategy Paper (I-PRSP).
Author: International Monetary Fund Publisher: International Monetary Fund ISBN: 1463994125 Category : Business & Economics Languages : en Pages : 57
Book Description
Strong fiscal stimulus in Azerbaijan continued in 2011 triggered by unanticipated increases in global oil prices. The 2011 Article IV Consultation highlights that near and medium-term economic prospects are favorable and nonhydrocarbon growth could reach 6 percent in 2012. Executive Directors have endorsed that significant actions would be needed for Azerbaijan to maintain the record of high growth and significant poverty reduction. Given the limited horizon of hydrocarbon resources, the economy needs to be reoriented from its symbiotic dependence on natural resource revenues.
Author: Harun Onder Publisher: World Bank Publications ISBN: 0821397605 Category : Business & Economics Languages : en Pages : 71
Book Description
Azerbaijan experienced a golden age in the last decade, during which the average growth rate reached record high levels and poverty decreased significantly. This report takes an inclusive growth approach to investigating the ways in which the country s high growth was translated into significant poverty reduction.
Author: Angela Baschieri Publisher: World Bank Publications ISBN: 0051208164 Category : Azerbaijan Languages : en Pages : 72
Book Description
Abstract: ""Poverty maps"--That is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disgaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data."--World Bank web site.
Author: Lire Ersado
Author: Lire Ersado
Author: Lire Ersado
Author: Angela Baschieri
Author: Margaret E. Grosh
Author: Asli Demirguc-Kunt
Author: International Monetary Fund
Author: 
Author: International Monetary Fund
Author: Harun Onder
Author: Angela Baschieri