national seminar on developing a program for the implementation of the 2008 sna and supporting...

National Seminar on Developing a Program for the Implementation of the 2008 SNA and

Supporting Statistics in Turkey

Derya TUNCER10 September 2013

Ankara - Turkey

Household Budget SurveyHousehold Budget Survey(HBS)(HBS)

Turkish Statistical Institute

September 10-13, 2013

National Seminar on Developing A Program for the Implementation of the

2008 SNA and Supporting Statistics in Turkey 10 September 2013 / Ankara - Turkey

Purpose• To get data on the determination of the commodities and

weights for the consumer price indices,

• To monitor the changes of households’ consumption patterns,

• Determination of number and level of poor people,• To obtain required data for analysis on households’ living

standards, feeding problems, calculations on minimum wage and other social indicators,

• Data for the estimates of private final consumption expenditure in national accounts



History

• First survey in 1954

• 1987 and 1994 Household Income and Consumption Expenditures Surveys

• Annual regular surveys since 2002 (Household Budget Survey)



Sample size• 2002 HBS monthly 800, annualy 9600 households

• 2003 HBS monthly 2160, annualy 25920 households

• 2004-2008 HBS monthly 720, annualy 8640 households

• Since 2009 HBS monthly 1104, annualy 13248households.



Estimation level

• 2002 whole Turkey at urban and rural breakdown

• 2003 whole Turkey at urban and rural breakdown

- NUTS level 1 (12 regions)- NUTS level 2 (26 regions)



Estimation level• Since 2004 - Turkey at urban/rural

breakdown (using each year’s survey data ) -Distribuiton of expenditures

at NUTS level-1 and level-2Non-response rate:For 2011 Household Budget Survey, the non-response rate was 24.5% in rural areas, 25.4% in urban areas, and 25.1% for overall Turkey.



Data Resorces and Data Collection Methodology:•Household Budget Survey was carried out yearly by following different sample households alternately each month.

• Timing of recording transactions is the month when households are surveyed.

• A letter and a brochure have been sent to sample households before the survey.

• HBS is applied to households by Regional Offices by using laptops and face-to-face interview, and keeping diaries by households.



Data Resorces and Data Collection Methodology:•Interviewers visit about 6 households about 8 times, along a month,•Diaries for recording consumption expenditures have been given to the households at the beginning of the survey. Data on income status, economic activity, occupation, employment status and income are asked at the last visit.•The survey has been implemented by using CAPI (computer assisted personel interview) system,



Data Resorces and Data Collection Methodology :•SAS has been used in analyzing & controlling of data.

• After data entry, the first stage control and analysis are done by Regional Offices. All cleaned data sets are sent to the Center.

•Data sets are combined and analysed in detail by the Center. After weighting, final tables are prepared. •Quality control studies (telephone calls) has been done at HBS since May 2008.



Reference periods:General situation of households, consumption habits

current situation Durable goods and services last 12 months including

survey month

Consumption expenditures survey monthThe questions about employment the last week of the

survey monthDisposable income last 12 months including survey

month



3 basic groups of variables have been obtained from the survey:

1. Variables of socio-economic status of the households: type of dwelling, status of property, heating system, dwelling facilities, durables and vehicles owned etc.

2. Variables of consumption expenditures: definition, style of possession, amount, market unit price, total value, purchase place of the consumer goods and services.



3 basic groups of variables have been obtained from the survey:

3. Variables of household composition, employment and income status: variables related to individuals’ age, gender, educational status, marital status, employment status (occupation, economic activity, employment status, social security), activity and non-activity incomes in the survey month and during last year



Publish and Timeliness:

• Last press release is published at first week of september.



Press Release

Dynamic database on internet

Micro Data CD Format

Classifications Used

• COICOP (Classification of Individual Consumption by Purpose): This is a classification system used during recording all good and service expenditures of the households in survey month into mechanical environment. COICOP/HBS has been used.



Classifications Used:• NACE Rev 2: This is used classify economic activities

of the workplace (business) of household member who actively carry out an economic activity.

• ISCO-08: This is used to classify occupations and profession groups of the household individuals who actively carry out an economic activity.





HBS at Eurostat’s side

Data are collected on the basis of a gentlemen's agreement approximately every five years. Data are available in Eurobase.

The most recent information is relating to the 2005 wave which was published in 2010.

Combined micro data sets of household budget surveys for years 2008, 2009 and 2010 and its report were transmitted to Eurostat in 2013.

We Discuss;

Changing frequency of HBS for estimation at NUTS1 or

NUTS2 level.

Constructing a “conversion factors table” to convert

local units into metric units (kg, lt)

More appropriate method for imputed rents,

Revising poverty methodology based on HBS.



What We Want To Do In Future…•We are have in view ;;

To increase HBS’s sample size, To increase compensation rate,

(Private Final Consumption Expenditure of national accounts has been compared with HBS.)



Thank you for your attention…



national seminar on developing a program for the implementation of the 2008 sna and supporting...

Documents

ankara turkey slide

overall turkey

survey month national

turkey derya tuncer

data resorces

regions national seminar

required data

data entry