Daily fluctuations in campground use: an econometric analysis [Recreation]
Many recreation activities are characterized by fluctuating use levels over time. This paper presents a theoretical and quantitative analysis of fluctuations in campground use series. Theoretical use functions are specified as the reduced form of a demand and supply system, where the derived demand...
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| Veröffentlicht in: | American journal of agricultural economics 1977-05, Vol.59 (2), p.283-293 |
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| container_title | American journal of agricultural economics |
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| creator | Oliveira, Ronald A. Rausser, Gordon C. |
| description | Many recreation activities are characterized by fluctuating use levels over time. This paper presents a theoretical and quantitative analysis of fluctuations in campground use series. Theoretical use functions are specified as the reduced form of a demand and supply system, where the derived demand for campground use is based upon the household production approach to consumer demand theory. A pooled time-series cross-section econometric use model is specified, and its estimated parameters are presented. In addition, campground use series are modeled incorporating Box-Jenkins time-series analysis techniques. Econometric predictions are more accurate relative to autoregressive-integrated-moving-average (ARIMA) predictions. |
| doi_str_mv | 10.2307/1240018 |
| format | Article |
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This paper presents a theoretical and quantitative analysis of fluctuations in campground use series. Theoretical use functions are specified as the reduced form of a demand and supply system, where the derived demand for campground use is based upon the household production approach to consumer demand theory. A pooled time-series cross-section econometric use model is specified, and its estimated parameters are presented. In addition, campground use series are modeled incorporating Box-Jenkins time-series analysis techniques. 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This paper presents a theoretical and quantitative analysis of fluctuations in campground use series. Theoretical use functions are specified as the reduced form of a demand and supply system, where the derived demand for campground use is based upon the household production approach to consumer demand theory. A pooled time-series cross-section econometric use model is specified, and its estimated parameters are presented. In addition, campground use series are modeled incorporating Box-Jenkins time-series analysis techniques. Econometric predictions are more accurate relative to autoregressive-integrated-moving-average (ARIMA) predictions.</description><subject>campground use</subject><subject>Camping</subject><subject>Coefficients</subject><subject>econometric recreation model</subject><subject>Econometrics</subject><subject>Economic fluctuations</subject><subject>Economic forecasting models</subject><subject>Economic modeling</subject><subject>Economic models</subject><subject>Forecasting models</subject><subject>Modeling</subject><subject>Recreation</subject><subject>recreation demand theory</subject><subject>time-series analysis</subject><issn>0002-9092</issn><issn>1467-8276</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1977</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNp1kVtL7DAUhcNB4YwX_AMiBR_OU3WnaS71bY63cRQUL3CYg4Q0k0jGTjMmLTr_3mplfPJps1jf2mzWRmgHw0FGgB_iLAfA4hca4JzxVGScraEBAGRpAUX2G23EOOsk4EIM0PhEuWqZ2KrVTasa5-uYuDrRar54Cr6tp0kbzVGi6sRoX_u5aYLTnVTVMrqY_L81OpjP3OMWWreqimb7a26ih7PT--NRenV9fnE8vEo1YUKkzOSizDVTVmsQlFNRWIILrkVZTg3FmZ5qBppRMHlpNAWwOSYcF5Yai0tDNtF-v3cR_EtrYiNnvg3dRVHirGBU5EBJR_3pKR18jMFYuQhursJSYpAfRcmvojoSevLVVWb5EyaH4-Hpd2S3j8xi48N3ZGWnve1iY95WtgrPknHCqRz9m8jx5c3fyeQey6Lj93reKi_VU3BRPtx1lfDuRxkRnLwDHZmJqQ</recordid><startdate>197705</startdate><enddate>197705</enddate><creator>Oliveira, Ronald A.</creator><creator>Rausser, Gordon C.</creator><general>Oxford University Press</general><general>American Agricultural Economics Association</general><general>American Farm Economic Association</general><scope>FBQ</scope><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>FIXVA</scope><scope>GHEHK</scope><scope>IBDFT</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope></search><sort><creationdate>197705</creationdate><title>Daily fluctuations in campground use: an econometric analysis [Recreation]</title><author>Oliveira, Ronald A. ; Rausser, Gordon C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3688-6e48b4c6afcc0857589f3197c8bbde512cdc60c650e4bec500f413719f5ef1be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1977</creationdate><topic>campground use</topic><topic>Camping</topic><topic>Coefficients</topic><topic>econometric recreation model</topic><topic>Econometrics</topic><topic>Economic fluctuations</topic><topic>Economic forecasting models</topic><topic>Economic modeling</topic><topic>Economic models</topic><topic>Forecasting models</topic><topic>Modeling</topic><topic>Recreation</topic><topic>recreation demand theory</topic><topic>time-series analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oliveira, Ronald A.</creatorcontrib><creatorcontrib>Rausser, Gordon C.</creatorcontrib><creatorcontrib>FAO, Rome (Italy)</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 03</collection><collection>Periodicals Index Online Segment 08</collection><collection>Periodicals Index Online Segment 27</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>American journal of agricultural economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oliveira, Ronald A.</au><au>Rausser, Gordon C.</au><aucorp>FAO, Rome (Italy)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Daily fluctuations in campground use: an econometric analysis [Recreation]</atitle><jtitle>American journal of agricultural economics</jtitle><addtitle>American Journal of Agricultural Economics</addtitle><date>1977-05</date><risdate>1977</risdate><volume>59</volume><issue>2</issue><spage>283</spage><epage>293</epage><pages>283-293</pages><issn>0002-9092</issn><eissn>1467-8276</eissn><abstract>Many recreation activities are characterized by fluctuating use levels over time. This paper presents a theoretical and quantitative analysis of fluctuations in campground use series. Theoretical use functions are specified as the reduced form of a demand and supply system, where the derived demand for campground use is based upon the household production approach to consumer demand theory. A pooled time-series cross-section econometric use model is specified, and its estimated parameters are presented. In addition, campground use series are modeled incorporating Box-Jenkins time-series analysis techniques. Econometric predictions are more accurate relative to autoregressive-integrated-moving-average (ARIMA) predictions.</abstract><cop>Menasha, Wis</cop><pub>Oxford University Press</pub><doi>10.2307/1240018</doi><tpages>11</tpages></addata></record> |
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| ispartof | American journal of agricultural economics, 1977-05, Vol.59 (2), p.283-293 |
| issn | 0002-9092 1467-8276 |
| language | eng |
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| source | Jstor Complete Legacy; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Business Source Complete; Oxford University Press Journals Digital Archive Legacy; Periodicals Index Online |
| subjects | campground use Camping Coefficients econometric recreation model Econometrics Economic fluctuations Economic forecasting models Economic modeling Economic models Forecasting models Modeling Recreation recreation demand theory time-series analysis |
| title | Daily fluctuations in campground use: an econometric analysis [Recreation] |
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