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	Provedor de dados AgEcon (10) Autor Bessler, David A. (6) Babula, Ronald A. (4) Awokuse, Titus O. (2) Maynard, Leigh J. (2) Nickoloff, Megan (2) Payne, Warren S. (2) Saghaian, Sayed H. (2) Capps, Oral, Jr. (1) Dharmasena, Senarath (1) Knutson, Ronald D. (1) Paggi, Mechel S. (1) Palma, Marco A. (1) Reeder, John (1) Ribera, Luis A. (1) Rogowsky, Robert A. (1) Somwaru, Agapi (1) Mais... Palavra-chave Directed acyclic graphs (10) Marketing (5) Demand and Price Analysis (4) Food Consumption/Nutrition/Food Safety (4) Research Methods/ Statistical Methods (4) Agricultural and Food Policy (3) Industrial Organization (3) Q11 (3) Bernanke structural VARs (2) C22 (2) Cointegration (2) Consumer/Household Economics (2) D12 (2) Demand (2) Food safety (2) Quarterly wheat-related markets (2) Salmon (2) Scanner data (2) Agribusiness (1) Agricultural Finance (1) Mais... Tipo do documento Journal Article (5) Working or Discussion Paper (3) Presentation (1) Report (1) Ano 2012 (1) 2010 (1) 2008 (1) 2007 (2) 2005 (2) 2004 (2) 2003 (1) Mais... País United States (10) Idioma Inglês (10)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 10 Primeira ... 1 ... Última Buyer and Seller Response to an Adverse Food Safety Event: The Case of Frozen Salmon in Alberta AgEcon Maynard, Leigh J.; Saghaian, Sayed H.; Nickoloff, Megan. Fish is a low-fat protein source high in omega-3 fatty acids, but in 2004 consumers also heard that farmed salmon had high levels of polychlorinated biphenyl (PCBs). This research evaluated how Canadian consumers and processors reacted to the conflicting health messages. Demand estimates and time-series analysis of 2001-2006 frozen meat scanner data in Alberta, Canada show a significant drop in salmon expenditure share following the PCB finding. The industry responded by launching low-priced wild salmon products, which contributed to significant demand expansion. The analysis illustrates how a food safety threat was averted and even served as a catalyst for growth. Tipo: Report Palavras-chave: Salmon; Scanner data; Food Safety; Demand; Directed acyclic graphs; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; D12; L15; Q11. Ano: 2007 URL: http://purl.umn.edu/6832 Buyer and Seller Responses to an Adverse Food Safety Event: The Case of Frozen Salmon in Alberta AgEcon Maynard, Leigh J.; Saghaian, Sayed H.; Nickoloff, Megan. Fish is a low-fat protein source high in omega-3 fatty acids, but in 2004 consumers also heard that farmed salmon had high levels of polychlorinated biphenyl (PCBs). This research evaluated how Canadian consumers and processors reacted to the conflicting health messages. Demand estimates and time-series analysis of 2001-2006 frozen meat scanner data in Alberta, Canada show a significant drop in salmon expenditure share following the PCB finding. The industry responded by launching low-priced wild salmon products, which contributed to significant demand expansion. The analysis illustrates how a food safety threat was averted and even served as a catalyst for growth. Tipo: Journal Article Palavras-chave: Salmon; Scanner data; Food safety; Demand; Directed acyclic graphs; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods; Q10; Q11; Q16; Q22. Ano: 2008 URL: http://purl.umn.edu/53629 Dynamic Economic Relationships Among U.S. Soy Product Markets: Using a Cointegrated Vector Autoregression Approach with Directed Acyclic Graphs AgEcon Babula, Ronald A.; Bessler, David A.; Rogowsky, Robert A.. This paper applies a combined methodology of a recently developed directed acyclic graph (DAG) analysis with Johansen and Juselius' methods of the cointegrated vector autoregression (VAR) model to a monthly U.S. system of markets for soybeans, soy meal, and soy oil. Primarily a methods paper, Johansen and Juselius' procedures are applied, with a special focus on statistically addressing information inherent in well-known sources of non-normal data behavior to illustrate the effectiveness of modeling the system as a cointegrated multi-market system. Perhaps for the first time, methods of the cointegrated VAR model are combined with DAG analysis to account for contemporaneously correlated residuals, and are applied to this U.S. soy-based system. Analysis of... Tipo: Working or Discussion Paper Palavras-chave: Directed acyclic graphs; Cointegration; Vector error correction and vector autoregression models; Monthly U.S. soy-based markets.; Industrial Organization; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/15880 Dynamic Relationships Among Selected U.S. Commodity-Based, Value Added Markets: Applying Directed Acyclic Graphs to a Time Series Model AgEcon Babula, Ronald A.; Bessler, David A.; Payne, Warren S.. This paper demonstrates the application of a recently developed methodology, the combination of directed acyclic graphs (DAGs) with Bernanke structural vector autoregression (VAR) models, to model a system of U.S. commodity-related and value-added markets. As an example, the paper applies this methodology to a quarterly system of U.S. markets: the wheat market and a set of downstream milling and bakery markets that use wheat as an input. Analyses of the model's 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... Tipo: Working or Discussion Paper Palavras-chave: Bernanke structural VARs; Directed acyclic graphs; Quarterly wheat-related markets; Industrial Organization; Marketing; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/15879 Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model AgEcon Babula, Ronald A.; Bessler, David A.; Payne, Warren S.. 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. Tipo: Journal Article Palavras-chave: Bernanke structural VARs; Directed acyclic graphs; Quarterly wheat-related markets; C22; Q11. Ano: 2004 URL: http://purl.umn.edu/42896 Impact of Macroeconomic Policies on Agricultural Prices AgEcon Awokuse, Titus O.. Existing empirical evidence on the impact of macroeconomic variables on agriculture remains mixed and inconclusive. This paper re-examines the dynamic relationship between monetary policy variables and agricultural prices using alternative vector autoregression (VAR) type model specifications. Directed acyclic graph theory is proposed as an alternative modeling approach to supplement existing modeling methods. Similar to results in other studies, this study’s findings show that over the time period analyzed (1975–2000), changes to money supply as a monetary policy tool had little or no impact on agricultural prices. The primary macroeconomic policy instrument that affects agricultural prices is the exchange rate, which is shown to be directly linked to... Tipo: Journal Article Palavras-chave: Agricultural prices; Cointegration; Directed acyclic graphs; Monetary policy; VAR; Agricultural and Food Policy; Demand and Price Analysis. Ano: 2005 URL: http://purl.umn.edu/10239 Market Reforms, Spatial Price Dynamics, and China's Rice Market Integration: A Causal Analysis with Directed Acyclic Graphs AgEcon Awokuse, Titus O.. Previous studies on post-reform market performance of Chinese grain markets have produced mixed results. This paper employs province-level price data to determine if China's food market liberalization policies in the 1990s resulted in interregional rice market integration. Furthermore, this study extends the literature on spatial market integration by augmenting multivariate cointegration modeling techniques with directed acyclic models (DAGs), a recently developed statistical method for analyzing contemporaneous causal relationships. While the empirical results confirm the existence of strong market linkages subsequent to the reforms of the early 19902, the linkages became less as the Chinese government reversed several reform policies in the mid-1990s.... Tipo: Journal Article Palavras-chave: Directed acyclic graphs; Grain prices; Interregional trade; Market liberalization; Spatial price dynamics; Marketing. Ano: 2007 URL: http://purl.umn.edu/8603 Modeling Advertising Expenditures and Spillover Effects Applied to the U.S. Non-Alcoholic Beverage Industry: Vector Autoregression (VAR) and Polynomial Distributed Lag (PDL) Approaches AgEcon Dharmasena, Senarath; Capps, Oral, Jr.; Bessler, David A.. The non-alcoholic beverage market in the U.S. is a multi-billion dollar industry growing steadily over the past decade. Also, non-alcoholic beverages are among the most heavily advertised food and beverage groups in the United States. Several studies pertaining to non-alcoholic beverages including the incorporation of advertising effects have been conducted, but most of these have centered attention on milk consumption. Some studies have considered demand interrelationships for several beverages including advertising effects in systems-wide analyses. In our analysis, we develop and employ a unique monthly time-series data set derived from Nielsen Homsescan panels for household purchases of non-alcoholic beverages over the period from January 1998 through... Tipo: Presentation Palavras-chave: Non-alcoholic beverages; Vector autoregression; Polynomial distributed lags; Beverage advertizing; Directed acyclic graphs; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Marketing; C18; C22; C52; C53; C81; D11; D12. Ano: 2012 URL: http://purl.umn.edu/124363 Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Time Series Econometrics: Evaluating the U.S. Market Impacts of High Soy Meal Prices AgEcon Babula, Ronald A.; Bessler, David A.; Reeder, John; Somwaru, Agapi. This paper demonstrates the application of a recently developed methodology, the combination of directed acyclic graphs (DAGs) with Bernanke structural vector autoregression (VAR) models, to model a system of U.S. commodity-related and value-added markets. As an example, the paper applies this methodology to a monthly system of three U.S. soy-based markets: the soybean market upstream and the two downstream markets for soy meal soy oil. Analyses of results from simulating the model's impulse response function and of forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these monthly markets run and dynamically interact. Results suggest how a... Tipo: Working or Discussion Paper Palavras-chave: Directed acyclic graphs; Bernanke structural VAR models; Monthly soy-based markets; Industrial Organization; Marketing; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/15885 Potential Impacts of Foodborne Illness Incidences on Market Movements and Prices of Fresh Produce in the U.S. AgEcon Palma, Marco A.; Ribera, Luis A.; Bessler, David A.; Paggi, Mechel S.; Knutson, Ronald D.. This study investigates the potential impacts of food safety outbreaks on domestic shipments, imports, and prices of the produce industry. Three case studies were analyzed to assess these potential impacts: the cantaloupe outbreak of March–April 2008, the spinach outbreak of September 2006, and the tomato outbreak of June–July 2008. Data-determined historical decompositions were conducted to provide a weekly picture of domestic shipment, import, and price fluctuation transmissions. The empirical analysis based on a vector autoregression (VAR) model showed differences in the results depending on the source of the outbreak (domestic vs. imported). Tipo: Journal Article Palavras-chave: Directed acyclic graphs; Food safety; Fresh produce; Historical decomposition; Outbreaks; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Consumer/Household Economics; Crop Production/Industries; Farm Management; Financial Economics; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; Marketing; Production Economics; Productivity Analysis; Q13. Ano: 2010 URL: http://purl.umn.edu/100526 Registros recuperados: 10 Primeira ... 1 ... Última

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