Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model
Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error v...
Gespeichert in:
Veröffentlicht in: | Journal of agricultural and applied economics 2004-04, Vol.36 (1), p.1-22 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 22 |
---|---|
container_issue | 1 |
container_start_page | 1 |
container_title | Journal of agricultural and applied economics |
container_volume | 36 |
creator | Babula, Ronald A. Bessler, David A. Payne, Warren S. |
description | Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these quarterly markets run and dynamically interact. Results suggest that movements in wheat and downstream wheat-based markets strongly influence each other, although most of these effects occur at the longer-run horizons beyond a single crop cycle. |
doi_str_mv | 10.1017/S1074070800021829 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_227997237</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S1074070800021829</cupid><sourcerecordid>625282071</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3459-cd6abaf30511655aa7e4362c27507cba760994833252bd9e3703684992d7ee563</originalsourceid><addsrcrecordid>eNp1kEFvEzEQhS0EEqHwAzhhcd8wttf2mlvUlhSUgiAJHC3HO0lcduPF3krk3-OQCg6I00jzvjfz9Ah5yWDKgOk3Swa6Bg0NAHDWcPOITDhIVZWtfEwmJ7k66U_Js5zvAGrOZTMh8ep4cH3w9At2bgzxkPdhyHTWx8OOrqfLKf22RzdWv2Vs6a1L33HMb-lsGLpjKNBVSOhP0swffVcuzZMb9pmOkTq6Cj3SJaaAmd7GFrvn5MnWdRlfPMwLsn53vbq8qRaf5u8vZ4vKi1qayrfKbdxWgGRMSemcxloo7rmWoP3GaQXG1I0QXPJNa1BoEKqpjeGtRpRKXJDX57tDij_uMY_2Lt6nQ3lpOdfGaC50gdgZ8inmnHBrhxR6l46WgT3Vav-ptXiqsyfkEX_-MZRarNJCS6vmn-3Hrx9WN2Zl7KLwr8781kXrdilku15yYALAlPzACyEeUrh-k0K7w79Z_5_jF0Ryj6w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>227997237</pqid></control><display><type>article</type><title>Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model</title><source>AgEcon</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Babula, Ronald A. ; Bessler, David A. ; Payne, Warren S.</creator><creatorcontrib>Babula, Ronald A. ; Bessler, David A. ; Payne, Warren S.</creatorcontrib><description>Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these quarterly markets run and dynamically interact. Results suggest that movements in wheat and downstream wheat-based markets strongly influence each other, although most of these effects occur at the longer-run horizons beyond a single crop cycle.</description><identifier>ISSN: 1074-0708</identifier><identifier>EISSN: 2056-7405</identifier><identifier>EISSN: 1074-0708</identifier><identifier>DOI: 10.1017/S1074070800021829</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Bernanke structural VARs ; Breakfast foods ; C22 ; Cereals ; directed acyclic graphs ; Econometrics ; Equilibrium ; Estimates ; International trade ; Pasta ; Price elasticity ; Q11 ; quarterly wheat-related markets ; Regression analysis ; Tariffs ; Time series ; Variables</subject><ispartof>Journal of agricultural and applied economics, 2004-04, Vol.36 (1), p.1-22</ispartof><rights>Copyright © Southern Agricultural Economics Association 2004</rights><rights>Copyright Southern Journal of Agricultural Economics Apr 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3459-cd6abaf30511655aa7e4362c27507cba760994833252bd9e3703684992d7ee563</citedby><cites>FETCH-LOGICAL-c3459-cd6abaf30511655aa7e4362c27507cba760994833252bd9e3703684992d7ee563</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Babula, Ronald A.</creatorcontrib><creatorcontrib>Bessler, David A.</creatorcontrib><creatorcontrib>Payne, Warren S.</creatorcontrib><title>Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model</title><title>Journal of agricultural and applied economics</title><addtitle>J. Agric. Appl. Econ</addtitle><description>Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these quarterly markets run and dynamically interact. Results suggest that movements in wheat and downstream wheat-based markets strongly influence each other, although most of these effects occur at the longer-run horizons beyond a single crop cycle.</description><subject>Bernanke structural VARs</subject><subject>Breakfast foods</subject><subject>C22</subject><subject>Cereals</subject><subject>directed acyclic graphs</subject><subject>Econometrics</subject><subject>Equilibrium</subject><subject>Estimates</subject><subject>International trade</subject><subject>Pasta</subject><subject>Price elasticity</subject><subject>Q11</subject><subject>quarterly wheat-related markets</subject><subject>Regression analysis</subject><subject>Tariffs</subject><subject>Time series</subject><subject>Variables</subject><issn>1074-0708</issn><issn>2056-7405</issn><issn>1074-0708</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEFvEzEQhS0EEqHwAzhhcd8wttf2mlvUlhSUgiAJHC3HO0lcduPF3krk3-OQCg6I00jzvjfz9Ah5yWDKgOk3Swa6Bg0NAHDWcPOITDhIVZWtfEwmJ7k66U_Js5zvAGrOZTMh8ep4cH3w9At2bgzxkPdhyHTWx8OOrqfLKf22RzdWv2Vs6a1L33HMb-lsGLpjKNBVSOhP0swffVcuzZMb9pmOkTq6Cj3SJaaAmd7GFrvn5MnWdRlfPMwLsn53vbq8qRaf5u8vZ4vKi1qayrfKbdxWgGRMSemcxloo7rmWoP3GaQXG1I0QXPJNa1BoEKqpjeGtRpRKXJDX57tDij_uMY_2Lt6nQ3lpOdfGaC50gdgZ8inmnHBrhxR6l46WgT3Vav-ptXiqsyfkEX_-MZRarNJCS6vmn-3Hrx9WN2Zl7KLwr8781kXrdilku15yYALAlPzACyEeUrh-k0K7w79Z_5_jF0Ryj6w</recordid><startdate>20040401</startdate><enddate>20040401</enddate><creator>Babula, Ronald A.</creator><creator>Bessler, David A.</creator><creator>Payne, Warren S.</creator><general>Cambridge University Press</general><scope>FBQ</scope><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7XB</scope><scope>87Z</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0K</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>SOI</scope></search><sort><creationdate>20040401</creationdate><title>Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model</title><author>Babula, Ronald A. ; Bessler, David A. ; Payne, Warren S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3459-cd6abaf30511655aa7e4362c27507cba760994833252bd9e3703684992d7ee563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Bernanke structural VARs</topic><topic>Breakfast foods</topic><topic>C22</topic><topic>Cereals</topic><topic>directed acyclic graphs</topic><topic>Econometrics</topic><topic>Equilibrium</topic><topic>Estimates</topic><topic>International trade</topic><topic>Pasta</topic><topic>Price elasticity</topic><topic>Q11</topic><topic>quarterly wheat-related markets</topic><topic>Regression analysis</topic><topic>Tariffs</topic><topic>Time series</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Babula, Ronald A.</creatorcontrib><creatorcontrib>Bessler, David A.</creatorcontrib><creatorcontrib>Payne, Warren S.</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Environment Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><jtitle>Journal of agricultural and applied economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Babula, Ronald A.</au><au>Bessler, David A.</au><au>Payne, Warren S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model</atitle><jtitle>Journal of agricultural and applied economics</jtitle><addtitle>J. Agric. Appl. Econ</addtitle><date>2004-04-01</date><risdate>2004</risdate><volume>36</volume><issue>1</issue><spage>1</spage><epage>22</epage><pages>1-22</pages><issn>1074-0708</issn><eissn>2056-7405</eissn><eissn>1074-0708</eissn><abstract>Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these quarterly markets run and dynamically interact. Results suggest that movements in wheat and downstream wheat-based markets strongly influence each other, although most of these effects occur at the longer-run horizons beyond a single crop cycle.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><doi>10.1017/S1074070800021829</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1074-0708 |
ispartof | Journal of agricultural and applied economics, 2004-04, Vol.36 (1), p.1-22 |
issn | 1074-0708 2056-7405 1074-0708 |
language | eng |
recordid | cdi_proquest_journals_227997237 |
source | AgEcon; EZB-FREE-00999 freely available EZB journals |
subjects | Bernanke structural VARs Breakfast foods C22 Cereals directed acyclic graphs Econometrics Equilibrium Estimates International trade Pasta Price elasticity Q11 quarterly wheat-related markets Regression analysis Tariffs Time series Variables |
title | Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T02%3A57%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dynamic%20Relationships%20Among%20U.S.%20Wheat-Related%20Markets:%20Applying%20Directed%20Acyclic%20Graphs%20to%20a%20Time%20Series%20Model&rft.jtitle=Journal%20of%20agricultural%20and%20applied%20economics&rft.au=Babula,%20Ronald%20A.&rft.date=2004-04-01&rft.volume=36&rft.issue=1&rft.spage=1&rft.epage=22&rft.pages=1-22&rft.issn=1074-0708&rft.eissn=2056-7405&rft_id=info:doi/10.1017/S1074070800021829&rft_dat=%3Cproquest_cross%3E625282071%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=227997237&rft_id=info:pmid/&rft_cupid=10_1017_S1074070800021829&rfr_iscdi=true |