{"id":154057,"date":"2024-03-21T07:39:50","date_gmt":"2024-03-21T06:39:50","guid":{"rendered":"https:\/\/www.wifo.ac.at\/publication\/154057\/"},"modified":"2024-11-07T03:47:04","modified_gmt":"2024-11-07T02:47:04","slug":"methods-for-measuring-the-effects-of-the-eu-presidency-on-international-tourism-2","status":"publish","type":"publication","link":"https:\/\/www.wifo.ac.at\/en\/publication\/154057\/","title":{"rendered":"Methods for Measuring the Effects of the EU Presidency on International Tourism"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","class_list":["post-154057","publication","type-publication","status-publish","hentry"],"acf":{"subtitle":"","text":"This study uses time-series techniques and econometric approaches in order to quantify the effects that organising an EU presidency has on the tourism exports of a country. The approach to explain tourism revenues by a time-series intervention model filters out special effects (data discontinuations, exchange rates, events, media reports, etc.) by outlier detection methods, maps influences from trends, the business cycle and seasonal effects in an ARIMA model and depicts the effect of an EU presidency by way of an intervention variable. Using econometric indicator approaches, a country's tourism exports are controlled for seasonal and special influences, habitual effects and demand trends by way of suitable indicators, and a dummy variable is used to test whether the EU presidency made a statistically significant contribution to the revenues from tourism.","onlinedate":"2006-10-25 02:00:00","lang":"English","publication_series":"","publication_date":"20061001","publication_date_year":"","publication_date_full":false,"publication_num_pages":"19","keywords":"[\"EU presidency\",\"econometric indicator approach\",\"intervention models\",\"outlier detection\"]","jelcodes":"[]","related_publications":"[]","pdf":325784,"zip":null,"link":"","monthly_report":true,"monthly_report_main":false,"monthly_report_volume":"","monthly_report_pages":"","monthly_report_pages_sort":"0","issue":"282","journal":"WIFO Working Papers","publisher":"","invisible":false,"external":false,"embargo_date":null,"types":[44410],"research_groups":[3481,3500],"collaboration":"","persons":[3983,3995],"persons_data":"[{\"personId\":3983,\"personName\":\"Egon Smeral\",\"organisationNames\":[]},{\"personId\":3995,\"personName\":\"Michael W\u00fcger\",\"organisationNames\":[]}]","clients":[],"subclients":[],"partners":[],"topics":[],"host_publication_title":"","host_publication_subtitle":"","place_of_publication":"","host_publication_editors":"[]","type_description":"","output_media":"","chapter":"","article_number":"","citations":"{\"apa\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_apa rendering_contributiontoperiodical rendering_apa rendering_contributiontoperiodical_apa\\\"><span>Smeral, E.<\\\/span><span>, &amp; W\u00fcger, M.<\\\/span> (2006). <span>Methods for Measuring the Effects of the EU Presidency on International Tourism<\\\/span>. <span><em>WIFO Working Papers<\\\/em><\\\/span>, (282). <a onclick=\\\"window.open(this.href, '_blank','noopener,noreferrer'); return false;\\\" href=\\\"https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/27538\\\" class=\\\"link\\\"><span>https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/27538<\\\/span><\\\/a><\\\/div>\",\"vancouver\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_vancouver rendering_contributiontoperiodical rendering_vancouver rendering_contributiontoperiodical_vancouver\\\"><span>Smeral E<\\\/span><span>, W\u00fcger M<\\\/span>. <span class=\\\"title\\\"><span>Methods for Measuring the Effects of the EU Presidency on International Tourism<\\\/span><\\\/span>. <span>WIFO Working Papers<\\\/span>. 2006 Oct;(282).<\\\/div>\",\"bibtex\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_bibtex rendering_contributiontoperiodical rendering_bibtex rendering_contributiontoperiodical_bibtex\\\"><div>@misc{31c8f1f6201e4559b14cc6e3f3248216,<\\\/div><div>  title    = \\\"Methods for Measuring the Effects of the EU Presidency on International Tourism\\\",<\\\/div><div>  abstract = \\\"This study uses time-series techniques and econometric approaches in order to quantify the effects that organising an EU presidency has on the tourism exports of a country. The approach to explain tourism revenues by a time-series intervention model filters out special effects (data discontinuations, exchange rates, events, media reports, etc.) by outlier detection methods, maps influences from trends, the business cycle and seasonal effects in an ARIMA model and depicts the effect of an EU presidency by way of an intervention variable. Using econometric indicator approaches, a country's tourism exports are controlled for seasonal and special influences, habitual effects and demand trends by way of suitable indicators, and a dummy variable is used to test whether the EU presidency made a statistically significant contribution to the revenues from tourism.\\\",<\\\/div><div>  keywords = \\\"EU presidency, econometric indicator approach, intervention models, outlier detection, EU presidency, econometric indicator approach, intervention models, outlier detection\\\",<\\\/div><div>  author   = \\\"Egon Smeral and Michael W{\\\\\\\"u}ger\\\",<\\\/div><div>  year     = \\\"2006\\\",<\\\/div><div>  month    = oct,<\\\/div><div>  language = \\\"English\\\",<\\\/div><div>  journal  = \\\"WIFO Working Papers\\\",<\\\/div><p>}<\\\/p><\\\/div>\",\"ris\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_ris rendering_contributiontoperiodical rendering_ris rendering_contributiontoperiodical_ris\\\"><p>TY  - GEN<\\\/p><p>T1  - Methods for Measuring the Effects of the EU Presidency on International Tourism<\\\/p><p>AU  - Smeral, Egon<\\\/p><p>AU  - W\u00fcger, Michael<\\\/p><p>PY  - 2006\\\/10<\\\/p><p>Y1  - 2006\\\/10<\\\/p><p>N2  - This study uses time-series techniques and econometric approaches in order to quantify the effects that organising an EU presidency has on the tourism exports of a country. The approach to explain tourism revenues by a time-series intervention model filters out special effects (data discontinuations, exchange rates, events, media reports, etc.) by outlier detection methods, maps influences from trends, the business cycle and seasonal effects in an ARIMA model and depicts the effect of an EU presidency by way of an intervention variable. Using econometric indicator approaches, a country's tourism exports are controlled for seasonal and special influences, habitual effects and demand trends by way of suitable indicators, and a dummy variable is used to test whether the EU presidency made a statistically significant contribution to the revenues from tourism.<\\\/p><p>AB  - This study uses time-series techniques and econometric approaches in order to quantify the effects that organising an EU presidency has on the tourism exports of a country. 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