Master of Science / Department of Agricultural Economics / Glynn T. Tonsor / The objective of this analysis is to develop econometric models for forecasting fed cattle basis as well as compare these models with historic averaging methods of forecasting basis popular in existing literature. The econometric analysis also aims to identify important determinants of fed cattle basis. Both monthly and weekly models were assessed with data provided by the Livestock Marketing Information Center. All models analyzed the three regions of Nebraska, Kansas, and Texas. Monthly historic average approaches utilized historic fed cattle futures and fed cattle cash price series from January of 1995 through December of 2010. Weekly historic average approaches utilized historic fed cattle futures and fed cattle cash prices series from June of 2001 through December 2010. Data collected post mandatory price reporting implementation in 2001 was used in all econometric models. Overall lags of fed cattle basis, the spread between the nearby live cattle futures contract and the next deferred futures contract, and seasonality regularly proved to explain much of the variation in fed cattle basis in the econometric modeling. Multiple historic average based models were examined on both monthly and weekly frequencies. Once all competing models were estimated in-sample, out-of sample testing was conducted. The forecasting errors of all weekly models were compared to determine which methods prove to be dominant forecasters of fed cattle basis. This testing suggests historic averaging methods outperform the alternate econometric models in out-of-sample work. The econometric models helped to reveal some of the important factors determining fed cattle basis, however lags in collecting data on these factors may inhibit the forecaster’s ability to use these techniques in real time. One interesting revelation in regards to historic averages is the potential of Olympic averages as forecasters. These methods have not been explored in previous academic literature but tend to perform quite well in comparison with other methods explored.

<p>  </p> <p>Cattle derived food, like beef and dairy, have long been a staple of our human diets and continue to be prominent in our days. This prominence and their relevance naturally extend to our economies. According to the U.S. Department of Agriculture, Economic Research Service (2022), cattle production is the most important agricultural industry in the US representing about 17% of the $391 billion total cash receipts for agricultural commodities in 2021.</p> <p><br></p> <p>Economists have looked into cattle derived products from a wide array of perspectives focusing on the product itself, for example beef, but also in the forces of supply and demand that at times are external to product attributes. The effect of supply and demand shocks on agricultural markets have been heavily considered in the literature (Thomsen and McKenzie, 2001; McKenzie and Thomsen, 2001; Lusk and Schroeder, 2002, Piggott and Marsh, 2004). Yet another important aspect of agricultural markets is price determination and the body of literature in this area is ample (Tomek & Robinson, 2003). Recent phenomena in the world, like the availability of information, good or bad, in the most current, voluminous and accessible way that we have ever seen, could be a new force in price determination of agricultural products. My research contributes to such strains of literature by investigating perceptions and willingness to pay for beef attributes, market shocks in beef markets, and the role of online media in dairy prices.</p> <p><br></p> <p>Beef attributes, and their relative valuation by consumers, have been studied to assist in understanding consumer demand for beef. Given the relevance of such attributes in consumer’s mind, researchers have sought to study how to profitably provide those beef attributes demanded by consumers. Addressing consumer demands for tenderness, an important attribute (Schroeder and Mark, 2000), aging beef has been proved to be a technology that improves flavor, tenderness and juiciness (Kim, Kemp & Samuelson, 2016). By using aging processes, the same cattle carcass can generate more highly valued beef products. I study the willingness to pay for aging and USDA grade in beef, to understand valuation of attributes by consumers with various demographics. </p> <p><br></p> <p>In beef markets, the heterogeneity of beef cuts in their usage, pricing and distribution channels is crucial. Supply and demand shocks can affect individual cuts in different ways (Ortez et al, 2022). With some beef cuts relying heavily on restaurant sales more than others, this offers a good opportunity to introduce a new concept in beef market analysis, namely the price relationship amongst beef cuts and its response to different market shocks. The traditional discussion around spreads in meat focus on differences in price at separate steps in the supply chain, namely farm, wholesale and retail. However, little attention has been given to the relative differences in prices of specific cuts of beef.</p> <p><br></p> <p>The potential influence of online media chatter in its sentiment and volume has largely been under appreciated in the Agricultural Economics literature. A predecessor in this area is Tonsor and Olynk (2011) who first established a connection between news activity and economic fundamentals in agriculture. The advent of the internet may have the ability to decrease information asymmetry and bridge the information gap between consumers, producers and market products. Online media listening allows for data collection efficiently and in real time (Widmar, 2019) and it may be a relevant aspect in the decision making of agricultural and food industries. Moved by this endeavor, I seek to understand if potential relationships between online media chatter sentiment and volume with futures prices in dairy products exist.</p> <p>  </p>