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"Automated data collection in accommodation statistics: a European overview" [email protected] Rome

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Page 1: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

"Automated data collection in accommodation statistics: a

European overview"  

[email protected]

Rome, 3rd December 2012

Page 2: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

 • Introduction

• ESSnet project “Automated data collection and reporting in accommodation statistics ”

• Advantages and disadvantages

• Next steps

• Conclusions

Page 3: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

Introduction  

• Regulation 692/2011, economical situation: more information, key indicators. But…

• Code of practice, regulations: reduce the respondent burden.

• Information available in the management software of accommodation establishments…

• Automated data collection: different formats (XML, XBRL), different uses (accommodation statistics, structural business statistics, social surveys).

Page 4: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

 

Spain

Norway

Sweden

Finland

Belgium

LatviaLithuania

Poland

Bulgaria

SlovakiaHungary

CroatiaSwitzerland

Automated data collection in Europe

 

Spain

Switzerland

Luxembourg

Belgium Germany

Denmark

NorwaySweden

Finland

LatviaLithuania

Poland

SlovakiaHungary

BulgariaCroatia

Page 5: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

ESSnet project I  

• In 2011 ESSnet project “Automated data collection and reporting in accommodation statistics” was launched.

• Spain (coordinator), Bulgaria, Belgium, Finland, Latvia, Lithuania, Poland and Slovakia.

• Aim: develop a common European XML file => conclusion: each country has developed a XML/XBRL file for accommodation statistics.

Page 6: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

ESSnet project II  

Work Package 2: To research on the management software packages

Work Package 3: To analyse the automated data collection systems already working

Work Package 4: Definition of a common XML schema for occupancy surveys

Work Package 5: Application to receive XML files

Work Package 6: Evaluation of NSI’s information systems

Work Package 7: Feed-back reports to establishments

Work Package 8: Dissemination

Page 7: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

Advantages For establishments:

• A big reduction of the response burden;• The feed-back reports containing customized

information.

For Statistical Organizations:• An increase of the quality of the data (no typing

error, no missing data, validation before including the data into the NSI database);

• A reduction in the costs (no need to type the data, no need for editing or imputation);

• An improvement of timeliness and punctuality.

Page 8: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

Disadvantages For establishments:

• Costs in money and/or time to buy/develop the application;

• Establishments can be afraid to technical problems or confidentiality.

For Statistical Organizations:• Costs to implement the new collection system,

although once the system is implemented can be used for other surveys and the use of open-sources software can help.

Page 9: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

Next steps  

Countries that have already developed the automated data collection system:

• To analyze the possibility to broaden the system to other surveys;

• To increase the number of establishments;• To create synergies with other countries (international

chains).

Countries that have not developed the automated data collection system:

• To take advantage of the work done by the countries using this data collection system.

Page 10: "Automated data collection in accommodation statistics: a European overview" elena.rosa.perez@ine.es Rome, 3 rd December 2012

Conclusions  

Automated data collection

Code of PracticeRegulation 223/2009Regulation 692/2011 GSBPM

Non excessive

burden on respondents

Quality, coherence

andcomparability

Costs saving

Feed-back with users

Validation,editing

andimputation

Timeliness