Hungary

Title: Household Budget Survey 2003

GENERAL INFORMATION AND BASIC DEFINITIONS

1. Background

Further information is available from Central Statistical Office of H-1024 5-7 Keleti K. str. Budapest, phone: 361 345 6196, e-mail: zsuzsa.szabo@office.ksh.hu.
Data have been collected by household survey since 1949.

2. Purpose and coverage

The following purposes are considered to be very important or of some importance:
Lesser importance is attached to:

Geographic coverage: National without any specific geographic areas excluded.

Population coverage:
The following types of household are included in the data collection:
The following types of household are excluded in the data collection:

Units:
Dwelling units are used in the sample selection and are characterised by:
Data are recorded for the household unit which is characterised by:

Unit members: 1 Usual residents temporarily living away from the dwelling are included, if away continuously for less than 15 days. Visitors (not usual residents) temporarily living in the dwelling are included, if staying continuously for more than 15 days. Domestic staff living in same dwelling/compound are not included in the unit. Renters living in same dwelling/compound are not included in the unit. Boarders living in same dwelling/compound are not included in the unit.

3. Reference periods

The time period to which income and/or expenditure statistics refer when released/published is from 01/03 to 12/03. These data are collected in the period from 01/03 to 03/04. This survey is conducted continuously. The statistics are published quartely and annually. 3

SURVEY METHODOLOGY

4. Sample design

The Primary, Secondary and Ultimate Sampling Units are enumeration area/district, none and dwelling respectively.

Stratification:
Areas/districts were stratified using the following criteria:
Households/Consumption Unit, Income Unit, Family Unit were stratified using the following criteria:

The sampling frames for the Primary Sampling Unit (PSU) and Ultimate Sampling Unit (USU) were the list of Census enumeration areas and the master sample of households respectively. Primary Sampling Units (PSU) were selected using probability proportional to size. The sample size was 11000 households or other units. The overall response rate for the survey was 62 percent.4 Errors/biases were minimized by using systematic substitution.

Enumeration procedure: Enumeration uses a panel design in which each reporting unit is enumerated more than once. The sample is divided into 3 representative sub-samples, some of which are replaced with new ones during the lifetime of the panel. Each sub-sample remains in the panel for 36 months. The survey uses 3 sub-samples at the same time and drops 1 sub-samples each time. The panel has an expected lifetime of 3 years, and each reporting household/unit is enumerated 3 times in total. If a reporting household/unit drops out from the panel, it is abandonned. If changes occur in composition of the reporting household/unit during the lifetime of the panel, then it continues in the panel. A smaller set of reporting units is selected from which information on specific issues is gathered or more detailed questions are asked.

DATA COLLECTION, CONCEPTS, DEFINITIONS AND CLASSIFICATIONS

5. Income data

Income data are collected. Receipts do not have to be regular and recurring to be considered as income. Income excludes receipts resulting from the sale or reduction of assets and/or from incurring liabilities. Income excludes receipts that are not currently available to the unit.

The following receipts are collected separately:
The following receipts are collected but not separately:
The following receipts are not collected:
The following receipts are classified as income from paid employment:
The following receipts are classified as income from self-employment:
The following receipts are classified as property income:
The following receipts are classified as employment-related transfer income:
The following receipts are classified as other income but not employment-related:
The following receipts are collected using the 'last payment' and 'period covered':
The reference period for:

Negative values (business losses) were excluded when computing self-employment income.

6. Expenditure data

Data collection method:
Diaries are used to collect expenditure data and are maintained for one month.

Diaries are used to collect expenditure on the following items:

Interviews are used to collect expenditure data with the respondent completing the interview by a mix of recall and using documentation.

Data for the following expenditure items are collected by referring:
Data for the following expenditure items are not collected by interview because they are collected by diary:
The following types of expenditure items are classified as 'Household consumption expenditure':
The following types of expenditure items are classified as 'Actual Household consumption':
The following types of expenditure items are classified as 'Non-consumption household expenditure':
The following types of expenditure items are classified as 'Investment/liability expenditure':
The following types of expenditure items are excluded due to measurement problems:
The following types of expenditure items are collected on an 'acquisitions' basis:

Classification: COICOP is used for classifying expenditure and has 320 separate categories at the finest level.

7. Other Data Collection Issues

The following other topics are covered:

Households are not requested to indicate whether durable goods are new or second-hand when their acquisition is recorded.

Non-response: Non-response households (refusals and non-contacts) are substituted.

Non-response is reduced using more than one repeat visits.
Reporting errors are reduced using the following measures:

DATA PROCESSING, ANALYSIS AND DISSEMINATION

Answers are pre-coded on data collection forms to the extent possible.6

The responses are edited field supervisors.

Extreme values are amended. In-kind receipts and consumption of own production are included in the estimates. In-kind receipts are valued using: the respondent's estimate. Consumption of own production is valued using: the imputed by field staff using market prices.

Treatment of owner-occupied housing: Values of owner-occupied housing are not included in the total income/expenditure estimates.

Treatment of selected groups/values in analysis: Some households/units are excluded from analysis because of incomplete response. Missing values are imputed always . Supplementary sources are not used to adjust estimates for under- or over-reporting. No groups are excluded from data analysis.

Weighting:
Weighting factors are used to adjust for:

Sampling errors: Sampling errors are computed for major aggregates and these sampling errors are published.

Tabulation and Analysis: Statistics are presented showing averages per year7 and statistics are analysed and tabulated for households only.

The following classifications are used for tabulation and analysis of income statistics:
The following classifications are used for tabulation and analysis of expenditure statistics:

Documentation and Dissemination:
Published survey reports: quarterly Report of Household Statistics 05/03 Yearbook of Household Statistics 11/03, minimum Subsistence Level 06/03
Published methodological information: methodology Chapter in each Yearbook, every year

Additional statistics (or special tables on request) are available for public use, with charges (depends on the request). Separate tables are published for households with wages/salaries as main source of income. Files of unidentifiable unit data are available (or available on request) for public use, with charges.


(1) The household head is always included even if working abroad. (2) If the household consists of one family, the head of household is the husband or the malecompanion. In single-parent households the parent is considered the household's head. In the case of househoulds consisting of two or more families, the economic activity, the gender, and the age is the selection order. The same method is applied in the case of non-family households. (3) Quarterly data are published twice in a year. (4) 87% (respondents/targeted sample size). (5) Partly as an aggregate for the whole unit, and partly for each person receiving income. (6) Answers are pre-coded partly. (7) Statistics are also presented showing averages per quarter in quartely publicatio ns.