13215_om_not-searchable
/en/priser-og-prisindekser/statistikker/bilutleie/kvartal
13215_om
statistikk
2009-02-12T10:00:00.000Z
Prices and price indices;Establishments, enterprises and accounts
en
true

Car rental, price index, Q4 2008

Content

About the statistics

Definitions

Name and topic

Name: Car rental, price index
Topic: Prices and price indices

Responsible division

Division for Construction and Service

Definitions of the main concepts and variables

Price: The price includes possible extra charge for additional time/distance, insurance, possible airport tax or other extra costs. VAT, fuel costs and possible one way fee are not included.

Standard classifications

Type of customer: In the price index we separate between foreign tourists, private households and private and public enterprises.

Car class: The industry operates with a common standard for car classes. We collect data for the car classes B and C, the two largest classes in the market. Car class B is comparable with the classification CCMN in the international ACRISS-standard. That means it is a car in the compact class (C) with 2 or 4 doors (C), manual transmission (M) and without air condition (N). Car class C is comparable with the classifications CDMR and CDMN. These classifications indicate that it is a car in the compact class (C, but larger than car class B), with 4 doors (D), manual transmission (M) and with (R) or without (N) air condition. An example of car class B: Ford Fiesta, car class C: Ford Focus.

Administrative information

Regional level

National

Frequency and timeliness

Frequency: quarterly

Timeliness: The Statistics is published about 8 weeks after the end of the period

International reporting

Part of the Norwegian National Accounts reporting to Eurostat

Microdata

Microdata are stored as files in Excel

Background

Background and purpose

The purpose of the index is to measure the development in prices for car rental. The statistics has been published since 2006, with figures from the 1st quarter of 2004.

Users and applications

The index is used to analyse and survey the development in prices and costs, and in the National accounts. Others also use it with interest in the market for car rental, for example institutions within research and development and the media.

Coherence with other statistics

The index is used in National Accounts

Legal authority

The Statistics Act, Sections 2-1, 2-2 and 2-3

EEA reference

Council Regulation (EC) No 2223/96 of June 1996 on the European system of national and regional accounts in the Community as concerns the principles for measuring prices and volumes.

Commission Decision of 30 November 1998 clarifying Annex A to Council Regulation (EC) No 2223/96 on the European system of national and regional accounts in the Community as concerns the principles for measuring prices and volumes.

Production

Population

The population is all businesses in Norway classified as 71.10 (Renting of automobiles), SIC2002. The statistical unit in the survey is chain.

Data sources and sampling

Statistics Norway receives data from the head offices to the largest chains in the industry. The head offices have price data from all the offices in the chain.

The sample consists of four chains that all together represent 350 businesses/offices.

Collection of data, editing and estimations

The respondents report data by using an electronic questionnaire. They have a three weeks deadline. As stated in the Statistics Act the respondents have an obligation to provide information to Statistics Norway.

Data are manually controlled and revised. If the changes in prices seems unreasonable large, the data are being checked with the respondent.

Using a Paasche formula makes the index. For each chain in the sample a sub-index is calculated for each of the three types of customers and for each of the two car classes. These are aggregated to one index for each type of customer, and finally to a total index that includes all the indices. The weights used are each chains income per type of customer and car class in the quarter in question.

Confidentiality

Not relevant

Comparability over time and space

The time series started in the 1st quarter of 2004

Accuracy and reliability

Sources of error and uncertainty

An example is that a respondent has divided the transactions between the different types of customers incorrectly. We try to avoid measurement errors (i.e. the fact that the respondents reports incorrect information) with help of a control system. If we suspect measurement errors, we will contact the respondent in question to ensure that the data actually are correct.

The response is normally 100 per cent

The sample consists of approximately 350 of a total of about 425 units that have cars for rent. It has not been made any calculations regarding sampling errors.

Relevant documentation