Components of Income Aggregate: Integrated Household Survey, Bulgaria 1995

Similar documents
Components of the Income Aggregate: Encuesta de Condiciones de Vida, Ecuador 1997/1998 1

Components of the Income Aggregate: Encuesta de Niveles de Vida, Panama 1996/1997 1

Components of the Income Aggregate: Encuesta de Niveles de Vida, Panama 2002/2003 1

Components of the Income Aggregate: Living Standards Measurement Study, Albania 2002

Components of Income Aggregate: Integrated Household Survey, Malawi

Components of the Income Aggregate: Encuesta de Niveles de Vida, Nicaragua

Components of the Income Aggregate:

Components of the Income Aggregate: Encuesta de Condiciones de Vida, Guatemala 2006

Components of the Income Aggregate: Encuesta de Condiciones de Vida, Guatemala 2000

Rural Income Generating Activities Study: Methodological note on the construction of income aggregates

Bulgaria - Integrated Household Survey 2001

Data and Methodology 1

Sources: Surveys: Sri Lanka Consumer Finance and Socio-Economic Surveys (CFSES) 1953, 1963, 1973, 1979 and 1982

International Labour Office Department of Statistics

Sierra Leone 2014 Labor Force Survey. Basic Information Document

International Labour Office Department of Statistics

Methodological Experiment on Measuring Asset Ownership from a Gender Perspective (MEXA) An EDGE-LSMS-UBOS Collaboration

Accounts, Indicators and Policy Use with 2008 SNA Framework

Monitoring and Assessing Progress on Decent Work in Indonesia

Automated labor market diagnostics for low and middle income countries

2004 ZANZIBAR BUSINESS CENSUS

Labour force, Employment and Unemployment First quarter 2018

2011 Annual Socio- Economic Report

Home Study Quiz 2017 ARMS 3

Labour force, Employment and Unemployment First quarter 2017

STEP Survey Weighting Procedures Summary (Based on The World Bank Weight Requirement) Lao PDR. October 11, 2013

Methodological Guidelines for Implementing Grain Stock Surveys

Field Operations, Interview Protocol & Survey Weighting

CYPRUS FINAL QUALITY REPORT

CYPRUS FINAL QUALITY REPORT

Migration Responses to Household Income Shocks: Evidence from Kyrgyzstan

SURVEY CONDUCT AND QUALITY CONTROL REPORT

MEASURING FINANCIAL INCLUSION: THE GLOBAL FINDEX. Asli Demirguc-Kunt & Leora Klapper

TECHNICAL ASSISTANCE REPORT NATIONAL ACCOUNTS STATISTICS MISSION. Copies of this report are available to the public from

The effect of the inclusion of groceries in the sales tax base on rural grocery stores

LOCALLY ADMINISTERED SALES AND USE TAXES A REPORT PREPARED FOR THE INSTITUTE FOR PROFESSIONALS IN TAXATION

Economic Impact of THE PLAYERS Championship Golf Tournament at Ponte Vedra Beach, Florida, March Tom Stevens, Alan Hodges and David Mulkey

A Profile of Socioeconomic Measures

Outline of presentation. National Accounts Office September 2016 Chiba, Japan

STEP 7. Before starting Step 7, you will have

PRODUCTIVE SECTOR MANUFACTURING PDNA GUIDELINES VOLUME B

Annual National Accounts

1. The Armenian Integrated Living Conditions Survey

METHODOLOGY AND ORGANIZATION OF THE HOUSEHOLD BUDGET SURVEY

CYPRUS FINAL QUALITY REPORT

Economic Profile. Capital Crossroads. a vision forward

Central Statistical Bureau of Latvia INTERMEDIATE QUALITY REPORT EU-SILC 2011 OPERATION IN LATVIA

(Submitted by the Central Statistical Office, Salisbury, Rhodesia and

FINAL QUALITY REPORT EU-SILC

Lending Services of Local Financial Institutions in Semi-Urban and Rural Thailand

A Profile of Socioeconomic Measures

Economic Indicators JUNE Prepared for the Joint Economic Committee by the Council of Economic Advisers. 113th Congress, 1st Session

SECTION 2.1. REAL SECTOR National Accounts

PROJECT INFORMATION DOCUMENT (PID) IDENTIFICATION/CONCEPT STAGE

ACCESS TO CREDIT OF FARM HOUSEHOLDS IN HAI DUONG PROVINCE, VIETNAM. Abstract

Comparative Study of Electoral Systems (CSES) Module 4: Design Report (Sample Design and Data Collection Report) September 10, 2012

RESULTS OF THE KOSOVO 2015 LABOUR FORCE SURVEY JUNE Public Disclosure Authorized. Public Disclosure Authorized. Public Disclosure Authorized

NOTES ON METHODOLOGY AND REVISIONS IN THE ESTIMATES

Labour force, Employment and Unemployment Year 2017

Romania 1997: Survey Information

Rural and Agricultural Financial Products and Services. Module 7

CONSUMPTION POVERTY IN THE REPUBLIC OF KOSOVO April 2017

Compilation of Use Table in MYANMAR

REPUBLIC OF ZAMBIA CENTRAL STATISTICAL OFFICE PRELIMINARY RESULTS OF THE 2012 LABOUR FORCE SURVEY

Mission Report for a short-term mission of the specialist in sampling for household surveys From 10 to 31 October 2015 David J.

The Economic Base of San Miguel County, NM. PREPARED BY: The Office of Policy Analysis at Arrowhead Center, New Mexico State University

RESEARCH ON THE SOURCES OF RISK FOR AGRICULTURAL COOPERATIVES IN NORTHEASTERN BULGARIA

I.Billions or dollars] Net Income of Proprietors. Agricultural. Total

Economic Development and Subjective Well-Being. An in-depth study based on VARHS 2012

CONSUMER SURVEY, APRIL 2015

PUBLIC DISCLOSURE COMMUNITY REINVESTMENT ACT PERFORMANCE EVALUATION

Prices or Knowledge? What drives demand for financial services in emerging markets?

A Profile of the Working Poor, 2011

Indicator 1.2.1: Proportion of population living below the national poverty line, by sex and age

GROSS DOMESTIC PRODUCT FOR THE SECOND QUARTER OF 2012

CENSUS OF POPULATION, 1981

Appendix (for online publication)

Utah. Demographic and Economic Profile. Metro and Nonmetro Counties in Utah

Figure 1. Structure of the foreign direct investments in non-financial enterprises by economic activity as of B, C, D, E G, H, I M, N

The Economic. Impact of Veteran-Owned. Franchise. August 30, 2011

WORLD HEALTH SURVEY -United Arab Emirates- HIGHLIGHTS REF: PRE-12-NG006

Minnesota Sales and Use Tax Gap Project: Final Report

TIMOR-LESTE COUNTRY REPORT

Community Survey on ICT usage in households and by individuals 2010 Metadata / Quality report

Indonesia - Global Financial Inclusion (Global Findex) Database 2011

U.S. CAPITAL SPENDING PATTERNS

Indicators of the Kansas Economy

Measuring coverage of social protection programmes: Lessons from Kenya, Zimbabwe, Belize and Vietnam

ARROYO VERDUGO OPERATIONAL IMPROVEMENTS

Belgium 1997: Survey Information

THE EXTENDED HOUSEHOLD BUDGET SURVEY IN BOSNIA AND HERZEGOVINA - A BRIDGE TO EU-SILC

Lao PDR - Global Financial Inclusion (Global Findex) Database 2011

Measuring non-observed economy in Kazakhstan

Documentation of the SAM (Social Accounting Matrix) for Peru

Measuring Informal Employment through Labor Force Survey : Nepal s Case. Uttam Narayan Malla Central Bureau of Statistics Nepal

Whole-Farm Reports. Farm Income Statement

Potential uses of tax data in the Canadian census of agriculture PL02 ABSTRACT PAPER

The American Panel Survey. Study Description and Technical Report Public Release 1 November 2013

APPENDIX F. Port of Long Beach Pier S Labor Market Study. AECOM July 25, 2011

Living Costs and Food Survey and Household Finance Survey Update and developments

Transcription:

Components of Income Aggregate: Integrated Household Survey, Bulgaria 1995 Prepared for the Rural Income Generating Activities (RIGA) Project 1 of the Agricultural Development Economics Division, Food and Agriculture Organization December, 2008 This document provides the survey-specific details associated with the income aggregate construction. For more information about the RIGA project, please refer to http://www.fao.org/es/esa/riga. For additional detail regarding the overall RIGA income aggregate construction approach, please refer to Carletto, et al (2007), Rural Income Generating Activities Study: Methodological note on the construction of income aggregates, found on the RIGA website. This Bulgaria Integrated Household Survey (BIHS) was conducted in April and May 1995 using a stratified two-stage cluster design. The sample used the pre-census listing of the 1995 Population Census as frame and is nationally representative. From a sub-sample of 4000 census clusters (out of a total of approximately 40,000 clusters, or statistical sectors, SS), 500 clusters were randomly selected. From these clusters, five households were chosen, creating a total sample of 2,500 households to interview. In total, a non-response rate 1.28% resulted in a total of 2468 households interviewed for the Bulgaria 1995 HIS. The average household size for that year was 3 persons. 2 There are 824 rural households and 1664 urban households in the dataset. In the original datasets, LOC_TYPE is the variable distinguishing urban from rural households. A settlement with a population over 3000 inhabitants is usually regarded as urban 3. Rural is not specifically defined but, by definition, it applies to all areas not encompassed by the definition of urban. In the calculation of the income aggregate, loc_type is renamed to URBAN in order to use the same variable name across different surveys. 1 The RIGA Project is a collaboration between FAO, the World Bank and American University in Washington, D.C. Original data can be obtained from the World Bank s Living Standards Measurement Study by visiting the LSMS website at: http://www.worldbank.org/lsms. 2 Source: Bulgaria Integrated Household Survey 1995: Survey Organization and Implementation. 3 Source: source of the definition is an e-mail from Bulgaria s National Statistical Institute - 1 -

All money amounts are in Lev (BGL). In 2001, the official exchange rate was 67.7 BGL = 1.0 USD. 4 The income aggregates are calculated at the household level and all aggregates are annualized. The various household-level modules of this survey can be linked using unique household identifier variable HHNUMBER. This variable is renamed to HH in the final aggregate file in order to ensure consistency across countries within the study. Regarding income from different sources, revenues and costs were disaggregated when such information was available. The disaggregated sources for each income component are summarized in the output variables column of Table 1. The net variables and the data files included in the final total income aggregate (Income.dta) are in bold. All variables included in the aggregate income variable are net of costs, unless otherwise noted. Comments In all sections, the raw data undergoes a transformation (it is annualized, aggregated, taken from person to household level, etc) before an outlier check takes place. In the Crop Production section, the reference period is the 12 months (April 1994 - May 1995). Two total crop income variables are created. Two total crop income variables are created: cropincome1 and cropincome2. Cropincome1 includes estimates of own crop consumption based on the agricultural production module of the household questionnaire. Cropincome2 includes estimates of own crop consumption based on the Food Booklet completed by each household surveyed. In the Transfers section, the reference period is the previous 12 months for remittances. For public transfers, pensions and social benefits, the reference period is the duration of time over which the transfers were received. If the duration of receiving transfers is not specified in the questionnaire, the duration is estimated by calculating the difference between the starting month and ending month of receiving these transfers. For Transfer income, two estimates are calculated: gross and net. The household income aggregate, however, considers the gross value rather than net. Rentagric calculates gross income from the rental of agricultural land.. For the Livestock, Other Income, Rentagric, the reference period is the previous 12 months. The classification of wage employment activities into industries and skilled/unskilled categories follow the United Nations International Standard Industrial Classification (ISIC) and the International Standard Classification of Occupations (ISCO 88) codes. Given the survey classification of each employed household member by industry, the employment sectors include: Agriculture and fishing, Manufacturing, Commerce, Finance insurance and real state, Services and Unknown. The survey did not include Mining, Construction, Electricity and utilities and Transport, storage and communication as categories in its classification system. Earnings from wage employment are net and include all in-cash and in-kind benefits received from the employer. The reference period is the duration of receiving the wage. If the duration 4 Exchange rate used is based on the average monthly exchange rate for 1995, as quoted by the Bulgarian National Bank. - 2 -

of receiving wages is not specified in the questionnaire, the duration is assumed to be 12 months. The Self Employment section accounted for income from non-farm enterprises owned by the household. The reference period is the previous 30 days. Net annual income from nonfarm enterprises is disaggregated by industry (corresponding with the ISIC Codes) to convey information about the diversity of household activities. Only present household members who are not heads are kept in the final income aggregate. Present is defined as a having been absent from the households for 6 or fewer months in the previous 12 months for non-head household members. Household heads are included regardless of their location status because in their position they can still serve as primary income sources. Thus, drop if ABS_MTHS >6 & RELASHIP=1. Participation and income share variables are also included in the final income aggregate. A final outlier check is imposed at the end of the Aggregateincome.do file in which households with income shares from any given activity greater than or less than 3 (300%) are dropped from the final income aggregate. Using this criteria, 4 households are dropped from this survey. The programs that calculate each household s income aggregate component are summarized in Table 1. Tables 2 and 3 summarize the results from the created income aggregate. Table 1 do file input dta files output dta files output variables notes Sample.do Strata.dta prices.do FILE11V1.DTA FILE25V1.DTA FILE29V1.DTA FILE30V1.DTA prices.dta pricedata1 pricedata2 pricedata3 pricedata4 pricedata5 pricedata6 pricedata7 pricedata8 pricedata9 pricedata10 pricedata11 pricedata12 pricedata13 pricedata14 pricedata15 Food.do FILE11V1.DTA Prices.dta Food.dta foodcons(imp) foodpurch(imp) foodfree(imp) cropown(imp) livstown(imp) - 3 -

- 4 - Agother.do FILE31V0.DTA agother.dta farmlaborexp(imp) farmsrvexp(imp) farmothrinc(imp) Cropincome1.do FILE25V1.dta FILE26V0.dta cropinc.dta cropexp.dta cropsold(imp) cropinput(imp) cropown1(imp) cropexp(imp) Cropincome2.do food.dta cropinc.dta cropexp.dta agother.dta Cropincome.dta cropincome1 cropincome2 Employment.do FILE18V0.dta FILE19V0.dta employ1.dta employ2.dta Employment.dta wgeimp wgeimp wge1_1(imp) wge1_2(imp) wge3_1(imp) wge3_2(imp) wge6_1(imp) wge6_2(imp) wge8_1(imp) wge8_2(imp) wge9_1(imp) wge9_2(imp) wge10_1(imp) wge10_2(imp) Livestock.do FILE29V1. DTA FILE30V0.DTA FILE31V0.dta Food.dta livstinc.dta livstbyprdinc.dta livstexp.dta Livestock.dta livstsold(imp) livstpurch(imp) livstborn(imp) livstbypr(imp) livstinpt(imp) livstinc(imp) Otherinc.do FILE46V0.dta Otherinc.dta otherinc(imp) Rentagric.do FILE49V1.DTA Rentinc.dta Rentagric.dta nonfarmrntinc(imp) farmrntinc(imp) farmrnt(imp) Selfemp.do FILE21V0.DTA Selfemp.dta self3(imp) self5(imp) self6(imp) self7(imp)

self9(imp) self10(imp) Transfers1.do FILE34V1.DTA FILE36V1.DTA privtransinc.dta privtransexp.dta transfpriv.dta privtransinc(imp) privtransexp(imp) privtrans(imp) Transfers2.do FILE38V0.DTA FILE39V0.DTA FILE40V0.DTA FILE41V0.DTA pensionsprivate.dta pensionsstate.dta pensionssurvivor.dta pensionsdisability.dta transfpens.dta pension(imp) pension(imp) pensions(imp) pensions(imp) pensions(imp) Transfers3.do FILE42V0.DTA FILE43V0.DTA FILE44V0.DTA FILE45V0.DTA unempbenef.dta materbenef.dta inkindbenef.dta unempbenef.dta materbenef.dta inkindbenef.dta housbenef.dta transfsocial.dta pension(imp) soccast(imp) stipend(imp) childallowa(imp) trasnp712(imp) inkind(imp) housebf912(imp) socialtransfers(imp) Transfers4.do transfpriv.dta transfpens.dta transfsocial.dta Transfers.dta transferstot(imp) transfersgross(imp) pubtransfer(imp) privtransfer(imp) Aggregateincome Cropincome.dta Employment.dta Livestock.dta Otherincome.dta Selfemp.dta Transfers.dta Income.dta agr_wge nonagr_wge crop1 crop2 livestock other selfemp totincome1 totincome2 Participation and Income Share variables are also included in the final income aggregate. - 5 -

Table 2 Bulgaria 1995 823 Rural HH Observations Rural, Leva Rural, USD Variable # Participants Participation Rate All HHs (Mean of Shares) (Share of Means) All HHs agr_wge Wage Employment- Agriculture 145 17.62% 69,260 12,202 9.09% 12.50% 1,031 182 nonagr_wge Wage Employment- Nonfarm 184 22.36% 92,822 20,753 13.12% 21.26% 1,382 309 crop1 Crop Production 375 45.57% 4,130 1,882 2.62% 1.93% 61 28 livestock Livestock Production 671 81.53% 27,006 22,018 23.51% 22.55% 402 328 selfemp Non-ag Self Employment 23 2.79% 271,535 7,588 1.27% 7.77% 4,043 113 transfer Total Transfers 655 79.59% 38,821 30,896 47.98% 31.65% 578 460 other Other Income Sources 168 20.41% 11,197 2,286 2.40% 2.34% 167 34 totincome1 Total Household Income 801 97.33% 100,306 97,625 100.00% 100.00% 1,493 1,453 Percent Rural 33.40% Leva/USD July 26, 2002 67.17 Notes: 1. Source data: 1995 Bulgaria Integrated Household Survey (BIHS). 2. Exchange rate source: Bulgaria National Bank. Average exchange rate for 1995. http://www.bnb.bg/bnb/home.nsf/fswebindex?openframeset 3. Bulgaria's IHS is a nationally representative survey, therefore weights were not applied in the computation of these summary statistics. 4. The variable "crop1" is distinguished from "crop2" in the way home consumption of own production of crops (owncons) is calculated. In crop1, owncons is calculated from the question in the agricultural production section of the household questionnaire that asks about household consumption of agricultural production. For crop2, owncons is calculated from the food expenditure section of the household questionnaire. Total household income "totincome1" and "totincome2" are therefore calculated with the corresponding crop income variable. 5. All values reported are annual and net of costs (with the exception of income from transfers and land rent, which are gross receipts). - 6 -

Table 3 Bulgaria 1995 823 Rural HH Observations Rural, Leva Rural, USD Variable # Participants Participation Rate All HHs (Mean of Shares) (Share of Means) All HHs agr_wge Wage Employment- Agriculture 145 17.62% 69,260 12,202 7.87% 10.68% 1,031 182 nonagr_wge Wage Employment- Nonfarm 184 22.36% 92,822 20,753 11.57% 18.17% 1,382 309 crop2 Crop Production 735 89.31% 20,702 18,489 19.78% 16.19% 308 275 livestock Livestock Production 671 81.53% 27,006 22,018 18.97% 19.27% 402 328 selfemp Non-ag Self Employment 23 2.79% 271,535 7,588 1.27% 6.64% 4,043 113 transfer Total Transfers 655 79.59% 38,821 30,896 38.54% 27.05% 578 460 other Other Income Sources 168 20.41% 11,197 2,286 2.01% 2.00% 167 34 totincome2 Total Household Income 810 98.42% 116,065 114,232 100.00% 100.00% 1,728 1,701 Percent Rural 33.40% Leva/USD July 26, 2002 67.17 Notes: 1. Source data: 1995 Bulgaria Integrated Household Survey (BIHS). 2. Exchange rate source: Bulgaria National Bank. Average exchange rate for 1995. http://www.bnb.bg/bnb/home.nsf/fswebindex?openframeset 3. Bulgaria's IHS is a nationally representative survey, therefore weights were not applied in the computation of these summary statistics. 4. The variable "crop1" is distinguished from "crop2" in the way home consumption of own production of crops (owncons) is calculated. In crop1, owncons is calculated from the question in the agricultural production section of the household questionnaire that asks about household consumption of agricultural production. For crop2, owncons is calculated from the food expenditure section of the household questionnaire. Total household income "totincome1" and "totincome2" are therefore calculated with the corresponding crop income variable. 5. All values reported are annual and net of costs (with the exception of income from transfers and land rent, which are gross receipts). - 7 -