EFFICIENT AGGREGATION OF PANEL QUALITATIVE SURVEY DATA
Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only aggregate survey information, namely the proportions of respondents who report 'up' and 'down'. This paper ex...
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| Veröffentlicht in: | Journal of applied econometrics (Chichester, England) England), 2013-06, Vol.28 (4), p.580-603 |
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| container_title | Journal of applied econometrics (Chichester, England) |
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| creator | Mitchell, James Smith, Richard J. Weale, Martin R. |
| description | Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only aggregate survey information, namely the proportions of respondents who report 'up' and 'down'. This paper examines disaggregate or firm-level survey responses. It considers how the responses of the individual firms should be quantified and combined if the aim is to produce an early indication of official output data. Having linked firms' categorical responses to official data using ordered discrete-choice models, the paper proposes a statistically efficient means of combining the disparate estimates of aggregate output growth which can be constructed from the responses of individual firms. An application to firm-level survey data from the Confederation of British Industry shows that the proposed indicator can provide early estimates of output growth more accurately than traditional indicators. |
| doi_str_mv | 10.1002/jae.2273 |
| format | Article |
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Appl. Econ</addtitle><description>Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only aggregate survey information, namely the proportions of respondents who report 'up' and 'down'. This paper examines disaggregate or firm-level survey responses. It considers how the responses of the individual firms should be quantified and combined if the aim is to produce an early indication of official output data. Having linked firms' categorical responses to official data using ordered discrete-choice models, the paper proposes a statistically efficient means of combining the disparate estimates of aggregate output growth which can be constructed from the responses of individual firms. An application to firm-level survey data from the Confederation of British Industry shows that the proposed indicator can provide early estimates of output growth more accurately than traditional indicators.</description><subject>Decision making models</subject><subject>Econometrics</subject><subject>Economic activity</subject><subject>Economic indicators</subject><subject>Growth rate</subject><subject>Output rate</subject><subject>Polls & surveys</subject><subject>Qualitative analysis</subject><subject>Studies</subject><subject>Survey data</subject><subject>United Kingdom</subject><issn>0883-7252</issn><issn>1099-1255</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp10F1LAkEUBuAhCjIL-gPBQjfdrJ2Z2fm6XGx325A1dTW6GmZ1BE1b21HKf9-KohB0NXDm4eWcF6FbDC0MQB7nxrYIEfQMNTAo5WPC2DlqgJTUF4SRS3Tl3BwAOIBoIB7FcdpOoyz3wiTpR0mYp93M68bea5hFHa83DDtpXg9HkTcY9kfRu_cU5uE1upiahbM3h7eJhnGUt5_9TjdJ22HHHwcyoD4DYQqpJOW8IBIKURBKJ4wpAFNQHEhFiCJGAg-wBGNxwASxNpiQqZSYAm2ih33uqiq_Ntat9XLmxnaxMJ-23DiNKasvU1zt6P0fOi831We9Xa0CLpUAJk-B46p0rrJTvapmS1NtNQa9K1DXBepdgTX19_R7trDbf51-CaODv9v7uVuX1dEHVIFghJ_yZm5tf47_pvrQXFDB9FuWaJL12gPZ6-uM_gJgtIC-</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Mitchell, James</creator><creator>Smith, Richard J.</creator><creator>Weale, Martin R.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons</general><general>Wiley Periodicals Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope></search><sort><creationdate>201306</creationdate><title>EFFICIENT AGGREGATION OF PANEL QUALITATIVE SURVEY DATA</title><author>Mitchell, James ; Smith, Richard J. ; Weale, Martin R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4843-507ab898366b280b7b233d55900ab314892292a8064180ae14572ee4d2f881303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Decision making models</topic><topic>Econometrics</topic><topic>Economic activity</topic><topic>Economic indicators</topic><topic>Growth rate</topic><topic>Output rate</topic><topic>Polls & surveys</topic><topic>Qualitative analysis</topic><topic>Studies</topic><topic>Survey data</topic><topic>United Kingdom</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mitchell, James</creatorcontrib><creatorcontrib>Smith, Richard J.</creatorcontrib><creatorcontrib>Weale, Martin R.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Journal of applied econometrics (Chichester, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mitchell, James</au><au>Smith, Richard J.</au><au>Weale, Martin R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EFFICIENT AGGREGATION OF PANEL QUALITATIVE SURVEY DATA</atitle><jtitle>Journal of applied econometrics (Chichester, England)</jtitle><addtitle>J. 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| source | Jstor Complete Legacy; Wiley Online Library Journals Frontfile Complete |
| subjects | Decision making models Econometrics Economic activity Economic indicators Growth rate Output rate Polls & surveys Qualitative analysis Studies Survey data United Kingdom |
| title | EFFICIENT AGGREGATION OF PANEL QUALITATIVE SURVEY DATA |
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