Germany

Title: Einkommens-und Verbrauchsstichprobe (EVS)

GENERAL INFORMATION AND BASIC DEFINITIONS

1. Background

Further information is available from Statistisches Bundesamt of 2 weigstelle Bonn Gruppe 1X C Graurheindorfer str. 198, 53117 Bonn, phone: 49 1888 644 8842, fax: 49 1888 644 8970, e-mail: thomas.krebs@destatis.de.
Data have been collected by household survey since 1962.

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 not used in the sample selection.
Data are recorded for the household unit which is characterised by:
Data are recorded for the income unit which is characterised by: 1

Unit members: 2 Visitors (not usual residents) temporarily living in the dwelling are not included as unit members. 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.

Head of unit:
The concept of reference person is used in this survey and is characterised by:

3. Reference periods

The time period to which income and/or expenditure statistics refer when released/published is from 01/98 to 12/98. These data are collected in the period from 01/98 to 12/98. This survey is conducted 5-yearly. The statistics are published 5-yearly.

SURVEY METHODOLOGY

4. Sample design

The Primary, Secondary and Ultimate Sampling Units are none, none and household 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 master sample of households and the master sample of households respectively. Primary Sampling Units (PSU) were selected using quota sampling and Ultimate Sampling Units (USU) were selected using quota sampling. The sample size was 74000 households or other units. The overall response rate for the survey was 84 percent. Errors/biases were minimized by using an updated sampling frame.

Enumeration procedure: Enumeration uses a single round survey design in which each reporting unit is enumerated only once. The sample is divided into 4 representative sub-samples. A smaller set of reporting units is selected from which information on specific issues is gathered or more detailed questions are asked. 3

DATA COLLECTION, CONCEPTS, DEFINITIONS AND CLASSIFICATIONS

5. Income data

Income data are collected. Receipts have to be regular and recurring to be considered as income. Exceptions are receipts from properties (interest incomes, dividends). 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 transfer income but not employment-related:
The following receipts are collected using the last 3 months as the reference period:

Income data were collected separately for each person receiving income. Components of income for an individual were collected directly from each individual or from one person reporting for all individuals. Negative values (business losses) were excluded when computing self-employment income.4

6. Expenditure data

Data collection method:
Diaries are used to collect expenditure data and are maintained for 3 months .

Diaries are used to collect expenditure on the following items:

Interviews are not used to collect expenditure data.

Classification: A national classification is used for classifying expenditure and has 191 separate categories at the finest level. The classification is consistent with COICOP at the Class (4 digit) 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 monetary rewards.
Reporting errors are reduced using the following measures:

DATA PROCESSING, ANALYSIS AND DISSEMINATION

Answers are not pre-coded on data collection forms, but are coded by field supervisors.

The responses are edited office staff.

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 respondent's estimate.

Treatment of owner-occupied housing: Values of owner-occupied housing are included in the total income/expenditure estimates and are valued using the rental equivalent net of housing costs usually paid by owners.

The following information is used in this valuation:

Treatment of selected groups/values in analysis: Some households/units are excluded from analysis because of incomplete response. Missing values are imputed only on some occasions .6 Supplementary sources are not used to adjust estimates for under- or over-reporting. income groups , hh with a monthly net income of 17895 euro (35.000 DM) and more 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 available on request.

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

The following classifications are used for tabulation and analysis of income statistics:7
The following classifications are used for tabulation and analysis of expenditure statistics:7

Documentation and Dissemination:
Published survey reports: Fachserie 15, heft 1-7-sondeheft 1, 99/02
Published methodological information: Fachserie 15, heft 7 Aufgabe, Methode und Durchführung der EVS 1998, 2002

Additional statistics (or special tables on request) are available for public use, free of charge (until 15 pages of data) and with charges (for 15 pages and more).

Separate tables are published for the following special population groups:
Files of unidentifiable unit data are available (or available on request) for public use, with charges.


(1) Single persons with own income and living alone are defined as seperate income unit. (2) Excluded unless they are contributing with their incomes to the household budget, or if they are dependent on the incomes of other members of th e household unit. (3) A sub sample of about 15,000 households that were reporting in detail abo ut their food, beverage, and tobacco consumption expenditure (the sub sample was 20% of to tal). (4) Although business losses were not included, negative values were recorded in the case of high tax back-payments by self-employees which exceeded self-employed income in single months. (5) Annex: Einkommens und Verbrauchsschtichprobe Aufgabe, Methode und Durchführung der EVS 1998 (6) Case by case decision for different goods/services leg. rental cash. (7) Social status of reference person (e, g self empoyees workers, civil servantes).