Download or read book Data for Food Demand Estimation written by Rueben C. Buse and published by . This book was released on 1988 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book World Agricultural Supply and Demand Estimates written by and published by . This book was released on 2008 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Sources for Demand Estimation written by Rueben C. Buse and published by . This book was released on 1990 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data for Food Demand Analysis written by Alden Coe Manchester and published by . This book was released on 1990 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Estimation Using Household Survey Data written by Leonardo Alfonzo and published by . This book was released on 2002 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estimates of Elasticities for Food Demand in the United States written by Jitendar S. Mann and published by . This book was released on 1978 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estimation of Food Demand and Nutrient Elasticities from Household Survey Data written by Kuo S. Huang and published by . This book was released on 2000 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estimation of Food Demand and Nutrient Elasticities from Houshold Survey Data written by Kuo S. Huang and published by . This book was released on 2000 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Generalized Composite Commodity Theorem and Food Demand Estimation written by Albert Reed and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article reports tests of aggregation over consumer food products and estimates of aggregate food demand elasticities. Evidence that food demand variables follow unit root processes leads us to build on and simplify existing tests of the Generalized Composite Commodity Theorem. We compute food demand elasticities using a method of cointegration that is shown to apply to a convenient but nonlinear functional form. Estimates are based on consumer reported expenditure data rather than commercial disappearance data.

Download or read book Using Scanner Data for Food Policy Research written by Mary K. Muth and published by Academic Press. This book was released on 2019-10-12 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Scanner Data for Food Policy Research is a practitioners’ guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. Describe different types of scanner data, the types of information available in the data, and the vendors that offer these data Describe food-label data that can be appended to scanner data Identify key questions that researchers should consider when acquiring scanner and label data for food policy research Demonstrate how to use scanner data using tools from econometric and statistical analyses, including the limitations in interpreting results using the data Describe and resolve key methodological issues related to using the data to facilitate more rapid analyses Provide an overview of published literature as background for designing new studies Demonstrate key applications of the data for food policy research

Download or read book Estimates of the Demand for Food from Consumer Panel Data written by Willard Robert Sparks and published by . This book was released on 1961 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data and Research to Improve the U S Food Availability System and Estimates of Food Loss written by National Research Council and published by National Academies Press. This book was released on 2015-01-02 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United States Department of Agriculture's (USDA's) Economic Research Service's (ERS) Food Availability Data System includes three distinct but related data series on food and nutrient availability for consumption. The data serve as popular proxies for actual consumption at the national level for over 200 commodities (e.g., fresh spinach, beef, and eggs). The core Food Availability (FA) data series provides data on the amount of food available, per capita, for human consumption in the United States with data back to 1909 for many commodities. The Loss-Adjusted Food Availability (LAFA) data series is derived from the FA data series by adjusting for food spoilage, plate waste, and other losses to more closely approximate 4 actual intake. The LAFA data provide daily estimates of the per capita availability amounts adjusted for loss (e.g., in pounds, ounces, grams, and gallons as appropriate), calories, and food pattern equivalents (i.e., "servings") of the five major food groups (fruit, vegetables, grains, meat, and dairy) available for consumption plus the amounts of added sugars and sweeteners and added fats and oils available for consumption. This fiscal year, as part of its initiative to systematically review all of its major data series, ERS decided to review the FADS data system. One of the goals of this review is to advance the knowledge and understanding of the measurement and technical aspects of the data supporting FADS so the data can be maintained and improved. Data and Research to Improve the U.S. Food Availability System and Estimates of Food Loss is the summary of a workshop convened by the Committee on National Statistics of the National Research Council and the Food and Nutrition Board of the Institute of Medicine to advance knowledge and understanding of the measurement and technical aspects of the data supporting the LAFA data series so that these data series and subsequent food availability and food loss estimates can be maintained and improved. The workshop considered such issues as the effects of termination of selected Census Bureau and USDA data series on estimates for affected food groups and commodities; the potential for using other data sources, such as scanner data, to improve estimates of food availability; and possible ways to improve the data on food loss at the farm and retail levels and at restaurants. This report considers knowledge gaps, data sources that may be available or could be generated to fill gaps, what can be learned from other countries and international organizations, ways to ensure consistency of treatment of commodities across series, and the most promising opportunities for new data for the various food availability series.

Download or read book The Generalized Composite Commodity Theorem and Food Demand Estimation written by Albert J. Reed and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article reports tests of aggregation over consumer food products and estimates of aggregate food demand elasticities. Evidence that food demand variables follow unit root processes leads us to build on and simplify existing tests of the Generalized Composite Commodity Theorem. We compute food demand elasticities using a method of cointegration that is shown to apply to a convenient but nonlinear functional form. Estimates are based on consumer reported expenditure data rather than commercial disappearance data.

Download or read book ESTIMATION OF FOOD DEMAND AND NUTRIENT ELASTICITIES FROM HOUSEHOLD SURVEY DATA TECHNICAL BULLETIN NUMBER 1887 U S DEPARTMENT OF AGRIC written by and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Complete System of U S Demand for Food written by Kuo S. Huang and published by . This book was released on 1993 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estimation of an Almost Ideal Demand System for U S Food with Household and Aggregate Data written by Cesar Falconi and published by . This book was released on 1991 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand for Food in the United States written by Abigail Mary Okrent and published by . This book was released on 2011 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Many findings and policy recommendations in the academic literature are influenced by published estimates of elasticities of demand for food. However, the quality of these estimates is diverse and depends on modeling choices and assumptions, including the functional form for demands, types of data used, separability structure, food definitions, and statistical techniques used to estimate the models. In this monograph, we make three contributions to the empirical literature on demand for food in the United States. First, we evaluate the elasticities of demand for food from previous studies using the mean absolute error in elasticity-based predictions of quantity responses to actual past changes in prices and total expenditure. Second, we estimate elasticities of demand for aggregate food products using annual and monthly data under various alternative assumptions about functional form. We evaluate how well these new estimates of elasticities of demand predict quantity responses to actual price and expenditure changes, both absolutely and compared with previous estimates from the literature. Third, we estimate two sets of elasticities of demand for disaggregated fruit and vegetables: one that is conditional on the total expenditure on fruit and vegetables and a second that is conditional on expenditure on goods. To facilitate and provide context for these empirical contributions, we begin the monograph with a succinct statement of the relevant theory that underpins demand models, some specific discussion of separability and aggregation assumptions and their implications for the interpretation of demand elasticities, and a review of issues more generally that arise in empirical demand analysis."--Executive summary.