Trips of EU residents - annual data (tour_dem)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: STATEC: Institut national de la statistique et des études économiques


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

STATEC: Institut national de la statistique et des études économiques

1.2. Contact organisation unit

Unit SOC1: Living conditions

1.5. Contact mail address

Statec

13, rue Erasme

B.P. 304

L-2013 Luxembourg


2. Metadata update Top
2.1. Metadata last certified 30/09/2023
2.2. Metadata last posted 30/09/2023
2.3. Metadata last update 30/09/2023


3. Statistical presentation Top
3.1. Data description

The survey on trips of the residents collects data on personal/leisure and business trips made by residents aged 15 to 85 years old.

The survey focuses on topics like purpose, destination, duration, period, type of accomodation, means of transport, expenses,...

It also covers general information like participation in tourism, non-participation and the reasons for non-participation.

Same-day trips for personal and business reasons are topics of the survey too (purpose, cost ...).

Eurostat adds triennial questions. In 2020, the means of booking (transport and accomodation) were under focus.

For national interest, Luxembourg National Institute punctually enquires additional topics: 

- reimbursement (Covid cancellations), motivation for domestic tourism, regional tourism in 2020;

- the ideal vacation and perception of ESCH 2020 European capital of Culture in 2021;

- the ideal place for a short term vacation at less than 300 km from home in 2022.

The survey is conducted 4 times a year and focuses on trips that end during a period of 3 months.

The indicators of annual participation are collected once a year, during the last survey that is run in January-February of the year +1.

3.2. Classification system

Not applicable

3.3. Coverage - sector

National tourism: domestic tourism and outbound tourism (trips made by residents of the reporting country).

3.4. Statistical concepts and definitions
3.4.1 Statistical concepts and definitions

See Regulation 692/2011Delegated Regulation 2019/1681 and Methodological Manual for Tourism Statistics

3.4.2 Additional comments (e.g. country-specific deviations)

Information on non-mandatory variables are available under request (NSI).

3.5. Statistical unit
3.5.1 Statistical unit 

The statistical unit of the survey is the resident of Luxembourg aged from 15 to 85 years and not living in collective household.

Participation in tourism: the individual.
Tourism trips: the tourism trip with at least one overnight stay made by the individual.
Same-day visits: the same-day visit made by the individual.

3.5.2 Reporting unit Other
3.5.3 If other or additional comments, please specify

This is an individual survey, and not a household survey.

3.6. Statistical population
3.6.1 Statistical population

Participation in tourism: Residents aged from 15 to 85 years (collective households are excluded).

Trips: All leisure and business trips with at least one overnight stay made outside the usual environment which ended during the reference period.

Same-day visits: visits without overnight stays, made outside the usual environment, originated from the place of usual residence. It includes leisure and business same-day visits.

3.6.2 Additional comments (e.g. deviating coverage in terms of age groups, multiple surveys with different subpopulation, inclusion of domestic same-day visits in years where this is not compulsory)
3.7. Reference area

The whole territory of Luxembourg is covered.

3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

3.8.1 Participation in tourism (Year)

The first data were delivered in 2012 to Eurostat, but the information has been collected since 1997.

3.8.2 Tourism trips (Year)

The first data were delivered in 1997 to Eurostat.

3.8.3 Same-day visits (outbound) (Year)

The first data were delivered in 2014 to Eurostat.

3.8.4 Same-day visits (domestic) (Year)

The first data delivered to Eurostat were collected in 2018, but the data exist since 2017.

3.8.5 Additional comments (e.g. longer series for subgroups)

Expenses in overnight trips: break in series in 2019. In 2019, data collection on expenses for leisure trips with overnights has been modified from a collective cost to an individual cost. Until 2018 included, for example: cost of a one week leisure trip made by a couple was collected for the 2 persons together (cost for transport, for acommodation, for "food, drinks and other"). The NSI used to divide the costs by coefficients taking into consideration the size of the group, the age of the members and the means of transport. From 2019 onwards, expenses are collected for the respondent only. When costs are shared (transport by car for exemple), the individual cost is calculated by the respondent. Between the two years, the average cost of a leisure trip decreased about 20% (from 991€/person to 787€/person).

3.9. Base period

Not applicable.


4. Unit of measure Top

Not applicable


5. Reference Period Top

2022


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements
6.1.1 European level

Regulation 692/2011

Regulation 1051/2011

Delegated Regulation 2019/1681

6.1.2 National level

The Law of July 10, 2011 on the organisation of the National Institute for Statistics and Economic Studies sets out the missions of STATEC and its internal organisation (http://www.legilux.lu/eli/etat/leg/loi/2011/07/10/n5/jo)

Formal contract of STATEC with subcontractor TIP Biehl und Partner, Trier.

6.2. Institutional Mandate - data sharing

According to the EU Regulation on tourism statistics unit-level data on trips are transmitted to Eurostat.


7. Confidentiality Top
7.1. Confidentiality - policy

STATEC is an administration under the authority of the Ministry of Economics. Nevertheless, it is scientifically and professionally independent, i.e. that STATEC sets its work plan in conformity to the national and European statistical legislation, and generates and disseminates its data in complete neutrality.

We are applying the General Data Protection Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).

The Law of July 10, 2011 on the organisation of STATEC sets out its missions and its internal organisation. Article 16 defines the guaranty of non-disclosure of confidential information when statistical results are disseminated. In addition, the Article 458 of the Criminal Code is applicable to the civil servants and those persons responsible for compilation of data, without prejudice to any disciplinary sanctions.

see: https://statistiques.public.lu/dam-assets/fr/statistique-publique/statec/missions/nouvloistatec.pdf

7.2. Confidentiality - data treatment

STATEC takes all the necessary logical, physical and administrative measures to ensure the data protection in all the stages of the statistical process.                 

-  Microdata files provided to users are anonymized by excluding identification information.                       

-  Only aggregated data are published. The results tables published are analysed to avoid that private information could be deduced from them.                          

-  Data allowing direct identification are kept just while they are necessary to guarantee the quality of the processes.


8. Release policy Top
8.1. Release calendar

There is no strict release calendar in place for tourism.

Aggregate tables are available on Statec website in June-July of the year+1.

8.2. Release calendar access

Not applicable

8.3. Release policy - user access

Aggregate tables are updated on website without information for the user.

Publications are enlightened through a "breaking news" at the press destination.


9. Frequency of dissemination Top

Aggregated tables are released annually but papers using quarterly data are punctually published.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

No news release published during the last year

10.2. Dissemination format - Publications

 Online statistic yearbook:

- "Le tourisme en chiffres" (2023)

https://statistiques.public.lu/fr/publications/series/en-chiffres/2023/tourisme-2023.html

 

Online short release called "Regards": 

- "Residents' summer holidays: a record number of stays in 2022"

https://statistiques.public.lu/en/publications/series/regards/2023/regards-02-23.html

 

Online and paper release of key figures in a publication called:

- "Luxembourg in figures"

https://statistiques.public.lu/fr/actualites/2022/stn42-2022-luxembourg-en-chiffres.html

10.3. Dissemination format - online database

Aggregated tables available in English and French:

https://statistiques.public.lu/dam-assets/fr/donnees-autres-formats/conditions-sociales/conditions-de-vie/C8300.xlsx

10.4. Dissemination format - microdata access

Microdata may be accessed for research purposes upon prior authorisation.

10.5. Dissemination format - other

None

10.6. Documentation on methodology

A general description of the survey and the methodology is available on the Internet Site of STATEC (French and English)

See: https://statistiques.public.lu/fr/enquetes/enquetes-particuliers/tourisme-conditions-vie.html

 

and: https://statistiques.public.lu/fr/donnees/methodologie/methodes/conditions-sociales/voyages.html

10.7. Quality management - documentation

Variables are collected according to the definitions of the "Eurostat Methodological manual for tourism statistics"

https://ec.europa.eu/eurostat/documents/3859598/6454997/KS-GQ-14-013-EN-N.pdf#page=127


11. Quality management Top
11.1. Quality assurance

The quality of the statistical information and its production is ensured by the provisions of the European Statistics Code of Practice. Definitions laid down in the methodological manual are respected.

For several years, data collection is organised in collaboration with a statistical institute having reached a high level of experience.

Syntax and coherence checks are run on the collected data.

Weights and imputations are calculated by STATEC and methods are periodically revised and updated.

Survey questions and translation are regularly revised and improved.

11.2. Quality management - assessment
11.2.1 Main strengths

We are using a mixed mode method to collect the data.

Persons with registered telephone number in the freely available telephone register of the national postal office (Editus.lu) are belonging to the CATI sample. Persons with no registered phone number are belonging to CAWI sample.

 

We are sending a letter of invitation (in two languages) to every individual of the sample. The language version depends on the nationality and the age of the person. The letter is available in Luxembourgish, French, German, English and Portuguese. A hotline is available for more information or the filling in of the questionnaire by phone right away. A flyer, available in the same languages as the letters informs about how to access the application and shows some short statistics on tourism. A notice about the protection of data is sent together with the invitation letter.

 

 

In the invitation letter, we focus on participation via the online application. The CATI sample is called up by phone starting one week after the beginning of the field, if the questionnaire has not yet been filled in online. Phone calls are made in the evening during the week time or on Saturday mornings to find the sampled population more available. We use mobile phone numbers where available.

Every person of the CAWI sample may also switch to phone response by calling the hotline number noticed on the invitation letter or by sending a mail for callback.

 

The online questionnaire is available in Luxembourgish, French, German and English, which offers the opportunity for the respondents to answer the questions in the language in which they are most familiar.

The online questionnaire provides a possibility to make comments. We use these comments to regularly revise and improve formulations of the questions where necessary.

 

Around 3 weeks after the beginning of the fieldwork, and without reaction of the sampled person until then, we send a reminder to the CAWI subsample aged less than 80 years.

 

The CAWI subsample, which started filling in the online questionnaire, but abandoned, receives a second reminder as well as the CATI subsample that has not been contacted or having "promised" to fill in the questionnaire online and haven't done it.

 

Fieldwork starts very straight after the reference period to limit recall bias.

We use coherence checks and imputation procedures to adjust more in depth single items.

 

As the number of eligible persons in Luxembourg is small due to small size of the country, the risk for an individual to be interviewed more than once for different surveys in a short laps of time is higher than in a bigger country. Therefore, in order to avoid non-response due to over solicitation we use a "rotation system" of the individuals in the official person’s register.

11.2.2 Main weaknesses

Response rate reaches 40.7% for the year 2022 (+5 points compared with the previous year). It varies from 37% to 44% according to the quarter.

The participation rate has increased again, since the compulsory scope of the study has been reintroduced in the invitation letter, mid-2021.

11.2.3 Quality improvements compared with previous reference year

During Covid-Pandamic, the compulsory scope of the survey was not indicated when corresponding with the sample. As from mid-2021 onwards, it has been reintroduced in the correspondance, which made the response rate increase again.


12. Relevance Top
12.1. Relevance - User Needs
12.1.1 European level

See: Regulation 692/2011

Requests from international institutions such as OECD and OMT

12.1.2 Main users on a national level

Users such as STATEC (Balance of Payments, Tourism Satellite Accounts-TSA), tourism entreprises and organisations, Ministry of Economics, Ministry of Tourism, students and journalists have asked for more detailed data, absolute data or percentages. 

Collaboration has been launched with "Esch2022 - Capital Européenne de la Culture", a national organisation promoting the european event in Luxembourg. Additional questions were added to the main questionnaire in 2022, questions dealing with the knoledge and the participation to the events organised in the context of "ESCH2022 - Capitale Européenne de la Culture".

12.2. Relevance - User Satisfaction

Not available

12.3. Completeness
12.3.1 Completeness

Compliant with the requirements of Regulation on tourism statistics 692/2011, Delegated Regulation 2019/1681, as well as recommendations laid down in the Methodological Manual for tourism statistics.

12.3.2 If not, please specify why and list deviations from Reg.


13. Accuracy Top
13.1. Accuracy - overall

Non-response is the main source of error in the statistics on Tourism. Non-response reaches more than 55% of the sample. The travel behaviour of non-respondents may differ from those having responded.

Weightings improve the quality of the data but the computation is only based on the few known characteristics like age, gender and nationality.

The reporting of individuals trips may also be affected by the memory problems (trips forgotten, costs partially known, ...). Imputations may correct expenses missing values which are  the most numerous type of missing values. 3 to 6% of expenditures are imputed.

Nevertheless, coefficients of variation are rather low (0.9% for Participation in Tourism f.i.).

13.2. Sampling error

13.2.1 Sampling errors - indicators

Information on Sampling errors may also be provided in the attached file.  Estimated value Coefficient of variation
13.2.1.1 Participation in tourism for personal purposes: number of residents, aged 15 or over, having made at least 1 trip of at least 1 overnight stay (all age groups)

442 020

0.9%

13.2.1.2 Participation in tourism for personal purposes: number of residents, aged 65 or over, having made at least 1 trip of at least 1 overnight stay

57 881

3.1%

13.2.1.3 Tourism trips - Total number of trips

2 983 279

1.6%

13.2.1.4 Domestic trips

165 180

5.8%

13.2.1.5 Outbound trips

2 818 099

1.1%

13.2.1.6 Private/Personal trips

2 663 071

1.6%

13.2.1.7 Professional/business trips

320 208

5.3%

13.2.1.8 Domestic trips spent at rented accommodation

75 121

7.9%

13.2.1.9 Domestic trips spent at non-rented accommodation

90 059

8.3%

13.2.1.10 Tourism trips - Total expenditure excluding durables and valuable goods

3 762 477 135

2.8%

13.2.1.11 Expenditure on accommodation

1 297 739 964

3.2%


13.2.2 Additional comments on sampling error





 

13.3. Non-sampling error

13.3.1 Coverage errors

13.3.1.1 Over-coverage

The sample for the tourism survey is drawn from the national register for residents every quarter of the year.

The over-coverage consists of individuals who are not eligible for survey and are included in the sample due to lack of information:

- people who left the country without reporting to the authorities,

- people who died in the meantime between preparing the sample and conducting the survey,

- persons living in collective households (prisons, retirement home).

Some of this unknown coverage is known: individuals living in the main collective households of the country are withdrawn from the sample according to their address; for some other over-covered people, we got the information from a relative.

The known over-coverage reaches 1.3%.

13.3.1.2 Under-coverage

Under-covered immigrants recently arrived in the country, who are not in the national register for residents yet.


13.3.2 Unit non-response for TRIPS dataset

  Unit non-response
13.3.2.1 Number of ineligible units/ elements

270 (death, live in collective households, age, live abroad)

13.3.2.2 Number of eligible units/elements

20730

13.3.2.3 Number of non-contacts

11608 (letters returned by Post, non-assigned phone number, target person unknown at the phone number, after 5 attemps no interview was made, non-contact in the CAWI sub-sample)

13.3.2.4 Number of refusals

251

13.3.2.5 Number of rejected questionnaires

229 (partially filled questionnaires)

13.3.2.6 Number of other types of non-response

181 (language problems, physical or mental illness, temporarly not reachable person)

13.3.2.7 Total non-response (= sum of 13.3.2.3 to 13.3.2.6)

12 269


13.3.3 Unit non-response rate

13.3.3.1 Unit non-response rate for TRIPS dataset (= 13.3.2.7 divided by 13.3.2.2)

59.2%

13.3.3.2 Unit non-response rate for PARTIC dataset

59.2%

13.3.3.3 Unit non-response rate for SDVOUT dataset

59.2%

13.3.3.4 Methods used for dealing with/minimising unit non-response

The participation is possible through two modes: CATI and CAWI. Both modes are available for all participants.

Interviewers of the CATI center are trained.

Letter and leaflet are sent to the individual of the sample.

The leaflet gives information about how to connect to the online questionnaire, how to change mode and results selected from previous waves.

The documents are bilingual, among 5 languages (Luxembourgish, French, German, English and Portuguese), chosen acoording to the nationality and the age of the individual.

A reminder is sent to the non-participants, as well as to those that partially filled the questionnaire.


13.3.4 Item non-response

13.3.4.1 Item non-response

Nearly all item non-responses consist of data on expenditure.

This is the case of 3 to 5% of the trips according to the topic: accomodation, transport, food and other, and valuable goods.

Few additional items non-responses concern booking through package trips.

13.3.4.2 Methods used for dealing with/minimising item non-response

To minimise item non-response, most of the questions are compulsory.

In addition, popups and filters are used in the questionnaire.

Popups inform the respondent in case of inconsistency of his/her answers.

Filters help to reduce errors.

The questions on expenses and income are the only ones not compulsory. In both cases, besides the possibility of indicating a real amount, intervals are given to facilitate the answer.

When all costs for a trip are collected, a sum of all expenses is calculated and the respondent may correct the reported values if necessary.

To reduce the share of non-responses in the questions on expenses, an introductory text has been added in the questionnaire, to explain the difficulty of the questions and the flexibility allowed in the answers.


13.3.5 Additional comments on non-sampling error 

 


(in case of second survey please briefly describe 13.3.1-13.3.4 here)


14. Timeliness and punctuality Top
14.1. Timeliness
14.1.1 Participation in tourism

180

14.1.2 Tourism trips

160

14.1.3 Same-day visits (outbound)

160

14.2. Punctuality
14.2.1 Participation in tourism

-8 days before the deadline.

14.2.2 Tourism trips

-8 days before the deadline.

14.2.3 Same-day visits (outbound)

-8 days before the deadline.


15. Coherence and comparability Top
15.1. Comparability - geographical

No geographical comparability problems. The survey covers the whole country.

15.2. Comparability - over time
15.2.1 Participation in tourism

Despite changes in the data collection method used over years (CATI, mixed-mode), in the samples size, more or less important participation rates to surveys, data on participation in tourism remains comparable over time.

15.2.2 Tourism trips

Like for tourism participation, despite of the adaptations made year after year in the questionnaire, the method of data collection, ... , we consider the data on tourism trips stay comparable over time.

15.2.3 Same-day visits (outbound)

Break in series in 2022 due to the modification of the labels of the questions.

15.3. Coherence - cross domain

We are not making any cross domain comparison for tourism statistics.

As far as expenditure is concerned, no comparison is made due to significant conceptual differences between tourism statistics and balance of payment statistics.

Considering that only few percent of all leisure and business overnight trips made by the residents of Luxembourg are spent on the national territory, Luxembourg has not reconciled demand data with supply data. 

15.4. Coherence - internal

Not applicable.


16. Cost and Burden Top

Costs are not systematically collected.

Burden for the respondents:

Median answering times for replying to the survey on Leisure and business tourism:

- for respondents that have made no trip: 10 minutes

- for respondents having made one trip: 16 minutes

- for respondents having made 2 trips: 20 minutes

- for respondents having made 3 trips and more: 22 minutes

CATI-interviews last 1-2 minutes less than the questionnaire filled online.


17. Data revision Top
17.1. Data revision - policy

We don't publish preliminary results for tourism demand.

The publication is only revised in case of significant error.

The data published on STATEC website can be updated from day-to-day but is usually updated when a new year is added.

17.2. Data revision - practice

Revisions of the data are possible on the website and are made whenever required. The revision date is then indicated on the release.


18. Statistical processing Top
18.1. Source data

18.1.1. Source data

18.1.1.1 Source data

Individuals survey

18.1.1.2 Name of data collection in national language

Ëmfro iwwer den Tourismus (Luxembourgish)

Enquête sur le tourisme (French)

Umfrage über Tourismus (German)

Survey on tourism (English)

18.1.1.3 Name of data collection in English

Survey on tourism

18.1.1.4 Survey vehicle Stand-alone survey
18.1.1.5 If "Embedded in another survey", please indicate which other survey. In case both options were ticked, please describe here separately the approach for PARTIC, TRIPS, SDVOUT


18.1.2. Population frame

18.1.2.1 Population frame Population register
18.1.2.2 Update of population frame Monthly
18.1.2.3 If other frequency or additional comments, please specify
18.1.2.4 Coverage errors of population frame

We are working with a sample drawn from the National Population Register where the residents of Luxemburg are registered. 

The composition of the sample is representative of the resident population in terms of age, sex and nationality.


18.1.3. Gross sample size (year, individuals)

18.1.3.1 Gross sample size for trips (= 13.3.2.1 + 13.3.2.2)

21000 residents aged 15 to 85 years old

18.1.3.2 Gross sample size for participation in tourism

6000 residents aged 15 to 85 years old

18.1.3.3 Gross sample size for (outbound) same-day visits

21000 residents aged 15 to 85 years old

18.1.3.4 Additional comments


18.1.4. Net sample size (year, individuals)

18.1.4.1 Net sample size for trips (= 13.3.2.2 – 13.3.2.7)

8461 residents

18.1.4.2 Net sample size for participation in tourism

2603 residents

18.1.4.3 Net sample size for (outbound) same-day visits

8461 residents

18.1.4.4 Additional comments


18.1.5. Sampling design

18.1.5.1 Sampling design Random sampling
18.1.5.2 If other or additional comments (also when more than one options is chosen in 18.1.5.1), please specify. Links to national methodology documentation can also be inserted here.

Simple quarterly random sample from the population register


18.1.6. Second survey or source

18.2. Frequency of data collection
18.2.1 Frequency of data collection Quarterly
18.2.2 Other frequency or additional comments

Quarterly for trips and same-day visits

Annually for participation data

18.3. Data collection

18.3.1. Type of survey

Survey of individuals


18.3.2. Data collection methods

18.3.2.1 Data collection methods CATI (computer-assisted telephone interview)
CAWI (computer-assisted web interview)
18.3.2.2 If other or additional comments, please specify. In case a combination of data collection methods is used, please give an indication of the importance of the different methods (in terms of number of respondents) 

91% used CAWI; 9% used CATI

18.3.2.3 Questionnaire in national language (Annex/Link)

See annexes

18.3.2.4 Questionnaire in English (Annex/Link)

See annex

18.3.2.5 Interviewer instructions in English (Annex/Link)

Not available


18.3.3. Proxy interviews

18.3.3.1 Proxy interviews Allowed
18.3.3.2 If "Allowed" or "Only in exceptional cases", please indicate for which variables in particular proxy interviews were used (it not all questions); If 4. "Not applicable", please explain why.

Proxies are allowed as far as the person responding is very well informed about the journeys of the sampled person. The answers given must reflect the behaviour of the sampled person.


18.3.4. Average interview time (The average interview time is X minutes.)

18.3.4.1 Average interview time

CATI: 14 minutes

CAWI: 16 minutes

18.3.4.2 Average interview time for respondents that reported trips

19 minutes


18.3.5 Second survey or source



Annexes:
Questionnaire in German, 2022
Questionnaire en anglais
Questionnaire en français
Questionnaire en luxembourgeois
18.4. Data validation
18.4.1 Data validation

The validation process is built by steps:

- In the questionnaire: bounds, filters, revisions of answers by the respondents (trips expenses)

- Syntax checks: process that systematically compares the formats and values of the answers given in the questionnaire with theoretical formats and values compiled in the VDB (Variables DataBase)

- Coherence checks: process that controls the coherence between the answers given in the questionnaire (f.i.: destination and mean of transport, type of accommodation and expenses on accommodation ...)

- Outliers: outliers in the expenses are systematically controlled

18.4.2 Second survey or source (In case a second survey or source is used for collecting data on participation, trips or same-day visits, please briefly describe 18.4.1 here in relation to those surveys/sources)
18.5. Data compilation
18.5.1 Data compilation

Missing values of the following variables have been imputed:

  • Expenditures on Transport, on Accommodation, on Food/Drinks/Other, on Valuable Goods and on Package
  • Use of package trip

 

Imputation method for expenses: predictive mean matching. Predictive mean matching was used because of its beneficial properties for skewed and heteroscedastic data as well as for the plausibility of imputed values. Furthermore, predictive mean matching enables an appropriate imputation of semicontinuous variables such as expenditure on valuable goods (Vink et al., 2014).

We conduct the imputation with the R programming language and the add-on package mice. As provided by the package, we perform a multivariate imputation by chained equations, which enables the user to impute all variables simultaneously.

We estimated separate models for the imputation of leisure and business trips. To each of the imputation models, we included approximately 20 predictors:

-         time variable: the quarter (QUART)

-         social characteristics: sex, age, nationality, size of the household, economic status, education, income

-         expenditure variables: different expenditure variables were used as imputation predictors for each other

-         trip variables: number of trips made during the quarter, destination of the described trip, duration, transport, main accommodation, size of the group and package

For leisure trips, the following variables are added:

-         social characteristics: employment

-         trip variables: reasons, activities, location, package

 

3 to 6% of expenses are imputed.

 

The other missing values are predicted by a logistic regression using the proc MI in SAS.

 

 The weights are built on the basis of the population estimation at 1st January made by STATEC. The following characteristics are taken into consideration:

- gender

- age group: 15-24, 25-44, 45-64, 65+

- nationality: Luxembourg-Foreigner.

18.5.2 Second survey or source (In case a second survey or source is used for collecting data on participation, trips or same-day visits, please briefly describe 18.5.1 here in relation to those surveys/sources)

No second survey or sources are used. All data come from the same survey on the resident population.

18.6. Adjustment

Not applicable.


19. Comment Top

[Optional]


Related metadata Top


Annexes Top