Measuring consumption, income and poverty lines Workshop Measuring Poverty – Concepts, Challenges and Recommendations Friday, April 17th, 2015 Palace of.

Slides:



Advertisements
Similar presentations
Incidence of Poverty in Pakistan: Methods and Measurement 1 Incidence of Poverty in Pakistan: Methods and Measurement Fowad Murtaza Department of Economics.
Advertisements

The Bulgarian CPI And The Index Of A Small Basket Of Goods And Services Joint UNECE/ILO Meeting on Consumer Price Indices Geneva, May 2006 National.
Theme 3 : Economic indicators v1.0
Statistical Issues in Measuring Poverty from Non-Survey Sources NATIONAL ACCOUNTS UNSD/NA/MR1 UN STATISTICS DIVISION Economic Statistics Branch National.
Income Inequality: Measures, Estimates and Policy Illustrations
1 Measurement and Analysis of Poverty in Jordan Joint Study by :  Ministry of Social Development  Department of Statistics  Department for Int’l Development.
Redistributive Impact and Efficiency of Mexico's Fiscal System John Scott, CIDE.
UNECE Workshop on Consumer Price Indices Session 1: The Concept, Scope and Coverage of the CPI Presentation by Cengiz Erdoğan, TurkStat October Istanbul,
1 Reducing the Gaps in Society: Policy Challenges in the Era of Globalization Dr. Karnit Flug June 2007 Taub Center Conference.
Chapter 2: The Data of Macroeconomics
Poverty Measurement in Tajikistan
Palestinian Central Bureau of Statistics (PCBS) Palestine Poverty Maps 2009 March
Exploring Poverty Indicators 5th - 9th December 2011, Rome.
Gagik GevorgyanGagik Gevorgyan Member of State Council on Statistics of the Republic of ArmeniaMember of State Council on Statistics of the Republic of.
Poverty Lines Michael Lokshin DECRG-PO The World Bank.
Measuring income poverty in Bangladesh Hassan Zaman Senior Economist World Bank.
Overview of Monetary Poverty Statistics Production Practices in the Region Most countries use CBN Method. Food Poverty line (fpl) first, then inflate to.
UNECE Workshop on Consumer Price Indices Session 3: Calculation Expenditure Weight Presentation by Cengiz Erdoğan, TurkStat October Istanbul, Turkey.
Household Income and Expenditure 2012 Household Budget Survey By Sanjev Bhonoo 18 November
How data quality affects poverty and inequality measurement PovcalNet team DECPI The World Bank.
Some Thoughts after Compiling 2008 SUT of China CHEN Jie Department of National Accounts NBS, China March 2012, Shanghai.
Measuring Consumption and Poverty in Zambia GSS methodology conference, 27 June 2012.
Constructing the Welfare Aggregate Part 2: Adjusting for Differences Across Individuals Bosnia and Herzegovina Poverty Analysis Workshop September 17-21,
1 Economy and Poverty Bratislava, May 2003 Jean-Etienne Chapron Statistical Division UNECE.
Descriptive Statistics. Policy Perceptions on Food Security: Abuse of Averages Source: Suryanarayana (2011) in India Development Report 2011.
National Accounts Framework For the ICP Giovanni Savio, SD, UN-ESCWA First Workshop for the 2011 Round in Western Asia Region Beirut, July 2010.
Regional Coordinators Meeting September 28-30, 2009 Washington DC Defining the National Accounts Framework for the ICP.
Measuring the Nation’s Output Objectives: Describe methods by which the U.S. measures domestic output, national income, and price level. Identifying the.
African Centre for Statistics United Nations Economic Commission for Africa Handbook on Supply and Use Table: Compilation, Application, and Good Practices.
Fuel Poverty. Structure of the Presentation Background: What is fuel poverty? Issues to consider when measuring fuel poverty. Ways to measure fuel poverty.
Poverty Ms. C. Rughoobur Africa Statistics Day 18 November 2013.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Copyright  2004 McGraw-Hill Australia Pty Ltd PPTs t/a Macroeconomics 7/e by Jackson and McIver Slides prepared by Muni Perumal, University of Canberra,
Estimating Living Wage Globally Martin Guzi Masaryk University, Czech Republic WTO Public Forum 2014.
INTERACTIONS AMONG POVERTY, ACCESS TO MODERN ENERGY SOURCES AND GENDER IN NIGERIA BY FIDELIS O. OGWUMIKE AND UCHE M. OZUGHALU.
Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015.
PRBS Development Partners Presentation at the 2008 Annual Review of Budget Support Progress in poverty reduction in Tanzania 2000/ Assessment and.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Workshop on Price Index Compilation Issues February 23-27, 2015 Market Basket Items and Weights Gefinor Rotana Hotel, Beirut, Lebanon.
ISI Satellite Conference on Agricultural Statistics, Maputo, August 2009 Integrated survey framework Using Household Expenditure Surveys for Food.
Poverty lines Michael Lokshin, DECRG-PO The World Bank.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Rio Group on Poverty Statistics 1 Background Information 2 Present Objectives and Work Program 3 Approaches to Poverty Measurement 4 Transversal topics.
Trend analysis of indicators on Food security for Pakistan.
Integrating Quantitative and Qualitative Methods for Understanding Poverty Principles and Country Case Study.
Constructing the Welfare Aggregate Part 2: Adjusting for Differences Across Individuals Salman Zaidi Washington DC, January 19th,
Xavier Mancero Statistics Division, ECLAC Seminar on poverty measurement Geneva, 5-6 May 2015.
SEE Energy Poverty Nexus Aleksandar Kovacevic. 2 Concept of Affordable Energy compromises: Total social costs of energy that could be covered by productivity.
POVERTY IN KENYA, 1994 – 1997: A STOCHASTIC DOMINANCE APPROACH.
HBS 2000/01: March National Bureau of Statistics ANALYSIS OF THE HBS 2000/01 INCOME POVERTY.
National Income.
The Multi-Purpose Grant UNDP – OCHA Joint proposal of the transfer value Yadira Diaz 07-Feb-2017.
National Income 9/12/2018 Dr.P.S EAB IV unit.
INCIDENCE OF POVERTY IN MALAYSIA (1999, 2007)
INCIDENCE OF POVERTY IN MALAYSIA (1999, 2007)
The Multi-Purpose Grant UNDP – OCHA Joint proposal of the transfer value Yadira Diaz 07-Feb-2017.
A SUMMARY NOTE ON REVISED GDP ESTIMATES
REGIONAL POVERTY ANALYSIS TECHNICAL WORKSHOP
REGIONAL POVERTY ANALYSIS TECHNICAL WORKSHOP
Lifecycle Deficit (Consumption & Labor Income)
Source: books and web materials
Economic Performance Chapter 13.
National Income.
Rm per month per household (1)
Rm per month per household (1)
Presentation transcript:

Measuring consumption, income and poverty lines Workshop Measuring Poverty – Concepts, Challenges and Recommendations Friday, April 17th, 2015 Palace of Serbia, Bulevar Mihajla Pupina 2, Room 129, Belgrade Javier HERRERA DIAL IRD-Université Paris Dauphine

Issues in measuring income and consumption in developing countries Income or consumption as welfare indicator? Measuring income – Measuring mixed income from the informal sector – Direct vs. Indirect data collection – Imputed rent – Should we take into account divergences between household survey and national accounts? Measuring consumption – Valuing self-consumption – Considering all modes of acquisition (buy, self-consumption, in- kind payment, public & private transfers). – Accounting for durable goods – Fuzzy frontiers between household final private consumption, intermediate consumption and investment

Poverty lines in practice On the importance of defining the reference population – A unique reference population or different (regional) reference populations? – Cost of basic needs or Food Energy intake approach? Steps in defining consistent poverty lines empirically Updating poverty lines

Basic property of poverty lines The poverty line must be absolute in the utility space and relative in the price and goods  This will ensure that poverty comparisons are consistent (two persons with the same utility level are treated in the same way; the same yardstick measures their welfare).  The total poverty line is the minimum cost for an individual of a fixed/unique (reference) utility level for all individuals (Ravallion).

On the importance of the reference population We need to define a reference population in order to determine the composition and cost of the basic consumption basket and to estimate the Engel’s coefficient that will allow us to estimate the non- food necessary consumption. Selecting implicitly separate reference populations (one for each region, expenditure quintiles, etc.) will have as as necessary consequence inconsistent poverty lines: lower for poorer households, higher for richer households.

A priori selecting an initial reference population Caloric norms Total household expenditures Multilateral spatial price deflator Deflated expenditures percentiles (all households) Food basket quantities Unit values of food basket items Food consumption basket value (EPL) Engel’s Coefficient Cost of basic needs consumption basket (Total poverty line) Food basket items values Total poverty incidence Nutrition conversion table Adjusted food basket quantities Total acquired calories Steps in defining empirically consistent poverty lines

A case study of inconsistent poverty lines

Poverty evolution in Paraguay by urban & rural area Source: DGEEC. Household surveys

Source: own estimates based on EIH 1997/98 Household expenditures cumulative density functions (cdf) by regions

Old vs revised poverty lines Source: own estimates based on EIH 1997/

Old vs revised poverty lines Source: own estimates based on EIH 1997/

Defining reference populations according to their calorie intake: Paraguay poverty baseline 1997/98 Source: DGEEC

Cost per calories varies by expenditure level: poor households buys cheap calories, richer households buys expensive calories (Paraguay 1997) Source: own estimates based on EIH 1997/98 Decile expenditures AsunciónCentral urbanOther urbanRural 140,637,728,524,2 240,439,132,529,9 342,343,535,031,9 444,649,638,634,1 552,250,341,135,8 651,850,544,438,4 761,456,646,840,6 858,657,449,944,5 949,358,754,746,9 1084,378,766,955,3 Total57,457,048,843,7

Item Grams per capita /day Metrop. areaOther urbanRural area Papa, mandioca, batata172,2303,5506,5 Harina (trigo o maíz)20,44147,6 Fideos33,238,631,3 Maíz2,519,845 Aceite, grasa, manteca25,932,235,8 Carne vacuna118,297,167,3 Leches (fresca, pasteurizada)209,8153,8152,1 Banana58,536,525,6 Naranja, pomelo, mandar., limón5321,320 Manzana, pera, mango9,52,91,3 Sandia, melón, mamón, pina12,64,85 Tomate44,434,618,8 Cebolla34,227,317,3 Food basket composition differs for (richer) metropolitan area households and (poorer) rural households (Paraguay 1997)

Monthly per capita expenditures % respect Metrop. area Engel’s coefficient Asunción Metrop. area , ,8% Other urban ,3 76,5 56,5% Rural ,9 64,4 64,4% Wide differences in expenditure levels and Engel’s coefficients of wrongly selected reference population Source: own estimates based on EIH 1997/98

Regions Price disparities Total poverty lines Asunción Metrop area 100 Central -urban 90,499,0 Other urban 77,662,2 Rural 64,237,6 Unjustified differences in poverty lines Source: own estimates based on EIH 1997/98