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Wednesday, December 2, 2020 | History

2 edition of Decomposing social indicators using distributional data found in the catalog.

Decomposing social indicators using distributional data

Benu Bidani

Decomposing social indicators using distributional data

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  • 36 Currently reading

Published by World Bank, Policy Research Dept., Poverty and Human Resources Division in Washington, D.C .
Written in English

    Subjects:
  • Health status indicators.,
  • Poor -- Health and hygiene.,
  • Social indicators.

  • Edition Notes

    StatementBenu Bidani and Martin Ravallion.
    SeriesPolicy research working paper ;, 1487, Policy research working papers ;, 1487.
    ContributionsRavallion, Martin.
    Classifications
    LC ClassificationsHG3881.5.W57 P63 no. 1487
    The Physical Object
    Pagination21 p. ;
    Number of Pages21
    ID Numbers
    Open LibraryOL932589M
    LC Control Number95233289
    OCLC/WorldCa33089097

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Decomposing social indicators using distributional data by Benu Bidani Download PDF EPUB FB2

Books. Home Policy Research Working Papers Decomposing Social Indicators Using Distributional Data. Decomposing Social Indicators Using Distributional Data.

Authors/Editors: Martin Ravallion. Journals & Books; Help Vol Issue 1, MarchPages Decomposing social indicators using distributional data.

We decompose aggregate health indicators using a random coefficients model in which the aggregates are regressed on the population distribution by subgroups, taking account of the statistical properties of the Cited by:   ELSEVIER Journal of Econometrics 77 () JOUF NAL OF Econometrics Decomposing social indicators using distributional data Decomposing social indicators using distributional data book Bidani, Martin Ravallion* Policy Research Department, The Worm Bank, Washinyton, DC Cited by: Additional Physical Format: Online version: Bidani, Benu.

Decomposing social indicators using distributional data. Washington, D.C.: World Bank, Policy Research Dept. Bidani, Benu & Ravallion, Martin, "Decomposing social Decomposing social indicators using distributional data book using distributional data," Policy Research Working Paper SeriesThe World Decomposing social indicators using distributional data.

[Benu Bidani; Martin Ravallion] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for name\/a> \" Decomposing social indicators using distributional data\/span>\" ; \u00A0\u00A0\u00A0\n schema. Decomposing Social Indicators Using Distributional Data Benu Bidani and Martin Ravallion* Policy Research Department, World Bank ' For comments and discussions, the authors are grateful to Alok Bhargava, Gaurav Datt, P.A.V.B.

Swamy, I-Lok Chang and the journal's referees. Decomposing social indica-tors using distributional data A Guide to Country Level Information About Equity, Poverty, and Health Stochastic coe cients estimation program (SCEP): a user's guide Jan Downloadable.

This paper makes two principal contributions: first, we propose a method for representing well-being aggregates and estimating population subgroup decompositions when data is available on population distributions across subgroups; second, we analyze the Quality of Life (QOL) of 'poor' and 'non-poor' population segments of 86 countries for the years s and s.

Decomposing Well-being Indicators using Decomposing Well-being Indicators using Distributional Data. Several indexes of the general state of social and human development are. Decomposing social indicators using distributional data Journal of Econometrics,77, (1), View citations () See also Working Paper () Famines and Economics Journal of Economic Literature,35, (3), View citations (46) See also Working Paper () Good and bad growth: The human development reports.

Distributional decomposition reweighting: standard, works ne under conditional independence IF regression: works up to second order remainder Social welfare function Need again to impute y ;0 (i.e., w0) Either of the previous assumptions works.

Could also directly impute EV. Alternative representations with smaller remainder terms. DeepDyve is the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Aim of the book 33 Outline of the contents 34 Future developments of EU‑SILC and EU social indicators 40 Linking micro- and macro- 41 Combining survey and register information 42 Confronting income and expenditure data 42 Putting in perspective income-based and material deprivation indicators Bidani, Benu and Martin Ravallion (), ‘Decomposing Social Indicators Using Distributional Data’, Journal of Econometrics, 77, – Definition of social indicators.

Social indicators are defined as statistical measures that describe social trends and conditions impacting on human well-being. Generally, social indicators perform one or more of three functions: providing information for decision-making; monitoring and evaluating policies.

Social indicators Please note this page is currently under revision. Social indicators covering a wide range of subject-matter fields are compiled by the Statistics Division, Department of Economic and Social Affairs of the United Nations Secretariat, from many national and international sources.

Average incomes of the poorest quintile rise proportionately with average incomes in a sample of 92 countries spanning the last four decades.

This is because the share of income of the poorest quintile does not vary systematically with average income. It also does not vary with many of the policies and institutions that explain growth rates of average incomes, nor does it vary with measures of.

SOCIAL INDICATORS AND QUALITY OF LIFE RESEARCH: BACKGROUND, ACHIEVEMENTS AND CURRENT TRENDS* Heinz-Herbert Noll At the beginning of the 21st century, social indicators and quality of life research are well established fields of social science in many countries around the world.

Founded inthe NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

The Distributional Preferences of Americans Raymond Fisman, Pamela Jakiela, Shachar Kariv. NBER Working Paper No. Issued in May NBER Program(s):Public Economics, Political Economy We measure the distributional preferences of a large, diverse sample of Americans by embedding modified dictator games that vary the relative price of redistribution in the American Life Panel.

Missing-data imputation Missing data arise in almost all serious statistical analyses. In this chapter we discuss avariety ofmethods to handle missing data, including some relativelysimple approaches that can often yield reasonable results.

We use as a running example the Social Indicators Survey, a telephone survey of New York City families. Using examples from different economic and social contexts, the book explains macro-micro linkages in an easy and intuitive way. After developing a sound theoretical foundation, readers are then shown how to explore their own scenarios using the Simulation Module.

The most recent data predict an uncertain future. The American economy, which produces 25% of the gross world profit, is growing very weakly and has been unsuccessful in its attempts to lower the unemployment rate.

“Decomposing social indicators using distributional data.” Journal of Econometrics Birdsall, Nancy, and Juan Luis. Decomposing social indicators using distributional data. J Econometrics. ; health services, and medical journals, and relevant books and working paper series.

We excluded studies that described simple associations between pooled spending, insurance interventions, and health outcomes. Decomposing social indicators using. Social Indicators () as a practical tool for the selection and compilation of social indicators by countries and international organizations.

In line with the FSDS, the “Guidelines” and Handbook supported the development and use of basic data sources and the harmonization of underlying statistical concepts, classifications and definitions. The Social Indicators Report data is compiled from agency requests and census data.

The records in this dataset represent current conditions in our society in a number of domains (e.g. Education, Health) and for a variety of populations (e.g.

Citywide, by Borough, Race/Ethnicity, Gender). This data can be used to get a clearer understanding of. This report develops an analytical framework that assesses the macroeconomic, environmental and distributional consequences of energy subsidy reforms.

The framework is applied to the case of Indonesia to study the consequences in this country of a gradual phase out of all energy consumption subsidies between and   Inequality of opportunity in health and nutrition is a major public health issue in the developing regions. This study analyzed the patterns and extent of inequality of opportunity in health and nutrition among children under-five across three countries sub-Saharan Africa with low Human development index (HDI).

We used data from the Multiple Indicator Cluster Survey of the Democratic. • The size and distributional impact of informal taxes and transfers have largely been ignored in fiscal incidence analysis. • Rwandan survey data shows informal transfers and taxes have a small regressive effect. Working paper Informal taxes and transfers in sub-Saharan Africa A review and analysis of incidence in Rwanda.

3 Social Indicators 89 4 Concluding Remarks 98 V The Size of Government and Its Performance 99 1 Introduction 99 2 Public Expenditure Patterns 3 Economic Performance, Public Debt, and Labor Market Indicators 4 Social Indicators 5 Environmental Indicators 6 Distributional and Social Stability Indicators 7 Governance-Related.

To achieve this we use different statistical tools to identify the distributional patterns and summarize the results using inequality indices.

The use of decomposition analysis has been particularly popular in the field for the purpose of identifying strong statistical associations, even if the identification of causality is complex in this. The Global Consumption Database is a one-stop source of data on household consumption patterns in developing countries.

It is designed to serve a wide range of users - from researchers seeking data for analytical studies to businesses seeking a better understanding of the markets into which they are expanding or those they are already serving.

Taxation and public spending are key policy levers the state has in its power to change the distribution of income determined both by market forces and institutions and the prevailing distribution of wealth and property.

One of the most commonly used methods to measure the distributional impact of a country’s taxes and public spending is fiscal incidence analysis. Novem Updating the Distributional Financial Accounts Michael Batty, Eric Nielsen, Kamila Sommer, Alice Volz, Sarah Friedman, Ella Deeken, Jesse Bricker, and Sarah Reber.

In addition to incorporating q2 data from the Financial Accounts, the q2 release of the Distributional Financial Accounts (DFAs) includes three substantial updates.

Results. The incidence of catastrophic health expenditure decreased significantly by 18% from approximately 50% in t0 32% in The decomposition analysis shows that this decrease represents net effects attributable to the distributional and coefficient effects of three determinants of catastrophic health expenditure – ill-health, the region in which households reside and the type of.

The Center of Distributive, Labor and Social Studies (CEDLAS) is a research center that specializes in the empirical study of distributive, labor and social issues in Latin America. Created inCEDLAS is based at Facultad de Ciencias Económicas – Universidad Nacional de La Plata.

Title: Sticky floors in developing countries - a distributional analysis of the formal and informal sector Abstract: This paper decomposes the gender wage gap in Indonesia into explained and unexplained use the method of (Firpo, Fortin, & Lemieux, ) to decompose the wage gap along the earnings distribution and do this for both the formal and informal sector.

Data collection. To reveal the distributional effects of OOPP in Austria, we use data from the Household Budget Survey /10 conducted by the National Statistical Service Office, Statistik Austria [13–15]. The observation unit is the private household without institutionalised households (hospitals, long.

We simulate the short- and long-term distributional consequences of COVID in the four largest Latin American economies: Argentina, Brazil, Colombia and Mexico. We show that the short-term impact on income inequality and poverty can be very significant, but that additional spending on social.

The Economic Impact of Recession Announcements Andrew Eggers, Martin Ellison, Sang Seok Lee. Federal unemployment reinsurance and local labor-market policies Marek Ignaszak, Philip Jung, Keith Kuester. Unmasking Partisanship: Polarization Undermines Public Response to Collective Risk.This is done using similar definitions of variables in each country/year and applying consistent methods of data processing.

In this way SEDLAC allows users to monitor the trends in poverty and other distributional and social indicators in the region.2 days ago  With increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life.

This study analyses child undernutrition among urban poor and non-poor and decomposes the contribution of various factors influencing socio-economic inequality.