LEADER 05804nam 2200589 450 001 9910479983003321 005 20170919035952.0 010 $a0-309-31418-6 035 $a(CKB)3710000000478184 035 $a(EBL)3439822 035 $a(SSID)ssj0001534213 035 $a(PQKBManifestationID)12629885 035 $a(PQKBTitleCode)TC0001534213 035 $a(PQKBWorkID)11494228 035 $a(PQKB)11244742 035 $a(MiAaPQ)EBC3439822 035 $a(EXLCZ)993710000000478184 100 $a20150629d2015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData and research to improve the U.S. food availability system and estimates of food loss $ea workshop summary /$fNancy J. Kirkendall, rapporteur ; Committee on National Statistics ; Division of Behavioral and Social Sciences and Education ; Food and Nutrition Board ; Institute of Medicine ; National Research Council and Institute of Medicine of the National Academies 210 1$aWashington, District of Columbia :$cNational Academies Press,$d[2015] 215 $a1 online resource (176 p.) 300 $aDescription based upon print version of record. 311 $a0-309-31417-8 320 $aIncludes bibliographical references (pages 127-139). 327 $aThe Food Availability System and Food Loss Estimates: Current Methods, Data, and Uses -- Historical and Current Uses of the Data for Economic Modeling and Reporting of Statistical Trends -- Alternative Approaches for Estimating Food Availability: International and Domestic -- Alternative Approaches for Estimating Food Loss: International and Domestic -- Wrap-Up -- Bibliography 127-140 Appendix A: Glossary and Acronyms 141-149 Appendix B: Agenda 150-154 Appendix C: Workshop Participants 155-157 Appendix D: Biographical Sketches of Speakers and Steering Committee Members 158-162 Committee on National Statistics -- Food and Nutrition Board. 330 $a"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."--Publisher's description. 606 $aFood supply$xGlobalization$xResearch 606 $aSustainable agriculture$xGlobalization 606 $aFood industry and trade$xGlobalization 606 $aFood industry and trade$xSafety measures$vCongresses 608 $aElectronic books. 615 0$aFood supply$xGlobalization$xResearch. 615 0$aSustainable agriculture$xGlobalization. 615 0$aFood industry and trade$xGlobalization. 615 0$aFood industry and trade$xSafety measures 676 $a363.8 702 $aKirkendall$b Nancy J. 712 02$aInstitute of Medicine (U.S.).$bFood and Nutrition Board, 712 02$aNational Research Council (U.S.).$bCommittee on National Statistics, 712 12$aData and Research to Improve the U.S. Food Availability System and Estimates of Food Loss (Workshop) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910479983003321 996 $aData and research to improve the U.S. food availability system and estimates of food loss$92441471 997 $aUNINA LEADER 03659nam 22007572 450 001 9910953790903321 005 20151005020621.0 010 $a1-107-23504-9 010 $a1-139-61031-7 010 $a1-139-61217-4 010 $a1-139-62147-5 010 $a1-283-94307-7 010 $a1-139-62519-5 010 $a1-139-60872-X 010 $a1-139-61589-0 010 $a1-139-04561-X 035 $a(CKB)2670000000326615 035 $a(EBL)1099862 035 $a(OCoLC)823724290 035 $a(SSID)ssj0000804574 035 $a(PQKBManifestationID)11487201 035 $a(PQKBTitleCode)TC0000804574 035 $a(PQKBWorkID)10815621 035 $a(PQKB)10177254 035 $a(UkCbUP)CR9781139045612 035 $a(MiAaPQ)EBC1099862 035 $a(Au-PeEL)EBL1099862 035 $a(CaPaEBR)ebr10643437 035 $a(CaONFJC)MIL425557 035 $a(OCoLC)828245909 035 $a(PPN)23115478X 035 $a(EXLCZ)992670000000326615 100 $a20110303d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCurrencies, commodities and consumption $emeasurement and the world economy /$fKenneth W. Clements, Business School, The University of Western Australia 205 $a1st ed. 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xvii, 381 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 08$a1-316-60111-0 311 08$a1-107-01476-X 320 $aIncludes bibliographical references and indexes. 327 $aIntroduction -- Purchasing power parity theory and the Big Mac Index -- Commodity currencies and currency commodities -- Three facts about marijuana prices -- Patterns in world metal prices -- Disparities in incomes and prices internationally -- Affluence and food: a simple way to infer incomes. 330 $aCurrency values, prices, consumption and incomes are at the heart of the economic performance of all countries. In order to make a meaningful comparison between one economy and another, economists routinely make use of purchasing power parity (PPP) exchange rates, but while PPP rates are widely used and well understood, they take a lot of effort to produce and suffer from publication delays. Currencies, Commodities and Consumption analyses the strengths and weaknesses of two alternatives to PPP. Firstly, the so-called Big Mac Index, which uses hamburger prices as a standard of measurement, and second, a less well known technique which infers incomes across countries based on the proportion of consumption devoted to food. Kenneth W. Clements uses international macroeconomics, microeconomic theory and econometrics to provide researchers and policy makers with insights into alternatives to PPP rates and make sense of the ongoing instability of exchange rates and commodity prices. 517 3 $aCurrencies, Commodities & Consumption 606 $aConsumer price indexes 606 $aCost and standard of living 606 $aPurchasing power parity 606 $aForeign exchange 615 0$aConsumer price indexes. 615 0$aCost and standard of living. 615 0$aPurchasing power parity. 615 0$aForeign exchange. 676 $a339.3 686 $aBUS039000$2bisacsh 700 $aClements$b Kenneth W.$f1950-$0233018 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910953790903321 996 $aCurrencies, commodities and consumption$94423978 997 $aUNINA