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Forecasting short-run fed cattle marketings.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Forecasting short-run fed cattle marketings./
Author:	Bacon, Kevin Joseph.
Description:	1 online resource (183 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 57-02, Section: A, page: 7840.
Contained By:	Dissertation Abstracts International57-02A.
Subject:	Agricultural economics. -
Online resource:	click for full text (PQDT)

Forecasting short-run fed cattle marketings.
Bacon, Kevin Joseph.

Forecasting short-run fed cattle marketings. - 1 online resource (183 pages)

Source: Dissertation Abstracts International, Volume: 57-02, Section: A, page: 7840.

Thesis (Ph.D.)--Oklahoma State University, 1995.

Includes bibliographical references

Scope and method of study. The USDA monthly Cattle on Feed (COF) report provides significant market information to all stages of the cattle industry. Because this information has an impact on the market, many efforts have been made to predict it prior to its release. A key question has been if a more comprehensive data set were available, could more accurate predictions of the information in this report be completed in a timely manner. The first part of this effort uses time series forecasting methods to examine models using both public and private information to forecast monthly fed cattle marketings. The public information model uses data for current and past releases of the COF. The private information model consists of daily pen level data for over eighty feedlots. Based on the private data set, the expected marketing flows of current cattle inventories are projected using a feedlot simulation model. These projected flows are then used to extend forecast of the marketings component beyond the current report. The projected marketing flows were also used to develop a quantitative measure of showlist. Showlist has been defined by the industry as the volume of fed cattle that are ready to be marketed at a given point in time. The final part of the study compares the price impacts of showlist versus federally inspected slaughter.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

Subjects--Topical Terms:

1179138
Agricultural economics.
Index Terms--Genre/Form:

554714
Electronic books.

Forecasting short-run fed cattle marketings.
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100 1 $a Bacon, Kevin Joseph. $3 1195443
245 1 0 $a Forecasting short-run fed cattle marketings.
264 0 $c 1995
300 $a 1 online resource (183 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 57-02, Section: A, page: 7840.
500 $a Adviser: James N. Trapp.
502 $a Thesis (Ph.D.)--Oklahoma State University, 1995.
504 $a Includes bibliographical references
520 $a Scope and method of study. The USDA monthly Cattle on Feed (COF) report provides significant market information to all stages of the cattle industry. Because this information has an impact on the market, many efforts have been made to predict it prior to its release. A key question has been if a more comprehensive data set were available, could more accurate predictions of the information in this report be completed in a timely manner. The first part of this effort uses time series forecasting methods to examine models using both public and private information to forecast monthly fed cattle marketings. The public information model uses data for current and past releases of the COF. The private information model consists of daily pen level data for over eighty feedlots. Based on the private data set, the expected marketing flows of current cattle inventories are projected using a feedlot simulation model. These projected flows are then used to extend forecast of the marketings component beyond the current report. The projected marketing flows were also used to develop a quantitative measure of showlist. Showlist has been defined by the industry as the volume of fed cattle that are ready to be marketed at a given point in time. The final part of the study compares the price impacts of showlist versus federally inspected slaughter.
520 $a Findings and conclusions. Augmenting the public data set with the private data set does yield improved predictions of marketings. The simulation model does provide a mechanism for projecting feedlot inventories and marketing flows. This allowed the development of a showlist proxy variable consistent with the industry's interpretation. In addition, showlist was shown to have a larger impact on price predictions than federally inspected slaughter.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Agricultural economics. $3 1179138
655 7 $a Electronic books. $2 local $3 554714
690 $a 0503
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Oklahoma State University. $3 1195444
773 0 $t Dissertation Abstracts International $g 57-02A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9618374 $z click for full text (PQDT)