LEADER 01144nam0-2200373---45-- 001 990001099670203316 005 20150714105100.0 020 $aIT 035 $a000109967 035 $aUSA01000109967 035 $a(ALEPH)000109967USA01 035 $a000109967 100 $a20021113d1984----y0itay0103 b 101 0 $aita 102 $aIT 105 $ay|||z|||001yy 200 1 $a<>civiltà salernitana nel secolo 16.$einediti per una storia socio-economica, culturale e scolastica$fDonato Dente, Maria A. Del Grosso 210 $aSalerno$cAlba$d1984 215 $a578 p.$d22 cm. 607 $aSalerno$zSec. 16. 676 $a945.74 700 1$aDENTE,$bDonato$09790 701 1$aDEL GROSSO,$bMaria Antonietta$0504198 801 0$aIT$bBNI$c19900605 912 $a990001099670203316 951 $aPAP 940$bLM$cPAP$d00083945 959 $aBK 969 $aPAP 979 $aCHIARA$b90$c20021113$lUSA01$h1129 979 $aCHIARA$b90$c20021113$lUSA01$h1131 979 $aPATRY$b90$c20040406$lUSA01$h1716 979 $aGIUSY$b90$c20150714$lUSA01$h1051 996 $aCiviltà salernitana nel secolo 16$9885578 997 $aUNISA LEADER 05335oam 22012014 450 001 9910788231003321 005 20230721045640.0 010 $a1-4623-9817-0 010 $a1-4527-3798-3 010 $a1-4518-7056-6 010 $a9786612841491 010 $a1-282-84149-1 035 $a(CKB)3170000000055100 035 $a(EBL)1608006 035 $a(SSID)ssj0000944023 035 $a(PQKBManifestationID)11528593 035 $a(PQKBTitleCode)TC0000944023 035 $a(PQKBWorkID)10982811 035 $a(PQKB)11787939 035 $a(OCoLC)763082956 035 $a(MiAaPQ)EBC1608006 035 $a(IMF)WPIEE2008198 035 $a(EXLCZ)993170000000055100 100 $a20020129d2008 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEquilibrium Non-Oil Current Account Assessments for Oil Producing Countries /$fAlun Thomas, Jun Kim, Aqib Aslam 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2008. 215 $a1 online resource (26 p.) 225 1 $aIMF Working Papers 225 0$aIMF working paper ;$vWP/08/198 300 $aDescription based upon print version of record. 311 $a1-4519-1509-8 327 $aContents; I. Introduction; II. Basic Structure of Alternative Methodology; Existing analysis; III. Model; A. General Model; B. Model Application to Oil Based Economy; IV. Estimation; V. Sensitivity Tests of the Annual Return on Oil Wealth; VI. Equilibrium Non-oil Current Account Assessment; A. Historical Accuracy of the Consumption Smoothing Model; B. Country Estimates of Non-oil Current Account; VII. Conclusions; References 330 3 $aThis paper introduces a methodology for assessing external balance in countries with large stocks of non-renewable resources based on oil stock data, and applies it to selected oil producing countries. The methodology uses a stock approach (instead of the more traditional flow approach) to estimate the equilibrium non-oil current account consistent with optimal consumption smoothing. One of the benefits of the stock approach is that geological data for oil reserves can be used to estimate oil wealth; however, the methodology makes the estimated non-oil current account norm very sensitive to oil price projections. Based on an oil price about US$70 per barrel prevailing in the summer of 2007, the baseline estimates indicate that the non-oil current accounts for most of the countries in the sample are broadly in equilibrium. By the same token, using oil price projections as of the summer of 2008 implies large disparities between the equilibrium non-oil current account position and the medium term forecast for all countries in the sample except for Malaysia. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2008/198 606 $aEquilibrium (Economics)$xEconometric models 606 $aBalance of payments$xEconometric models 606 $aPetroleum industry and trade$xEconometric models 606 $aInvestments: Energy$2imf 606 $aExports and Imports$2imf 606 $aMacroeconomics$2imf 606 $aIndustries: Energy$2imf 606 $aEnergy: General$2imf 606 $aCurrent Account Adjustment$2imf 606 $aShort-term Capital Movements$2imf 606 $aEnergy: Demand and Supply$2imf 606 $aPrices$2imf 606 $aMacroeconomics: Consumption$2imf 606 $aSaving$2imf 606 $aWealth$2imf 606 $aMacroeconomics: Production$2imf 606 $aInvestment & securities$2imf 606 $aInternational economics$2imf 606 $aPetroleum, oil & gas industries$2imf 606 $aOil$2imf 606 $aCurrent account$2imf 606 $aOil prices$2imf 606 $aConsumption$2imf 606 $aOil production$2imf 606 $aPetroleum industry and trade$2imf 606 $aBalance of payments$2imf 606 $aEconomics$2imf 607 $aUnited Arab Emirates$2imf 615 0$aEquilibrium (Economics)$xEconometric models. 615 0$aBalance of payments$xEconometric models. 615 0$aPetroleum industry and trade$xEconometric models. 615 7$aInvestments: Energy 615 7$aExports and Imports 615 7$aMacroeconomics 615 7$aIndustries: Energy 615 7$aEnergy: General 615 7$aCurrent Account Adjustment 615 7$aShort-term Capital Movements 615 7$aEnergy: Demand and Supply 615 7$aPrices 615 7$aMacroeconomics: Consumption 615 7$aSaving 615 7$aWealth 615 7$aMacroeconomics: Production 615 7$aInvestment & securities 615 7$aInternational economics 615 7$aPetroleum, oil & gas industries 615 7$aOil 615 7$aCurrent account 615 7$aOil prices 615 7$aConsumption 615 7$aOil production 615 7$aPetroleum industry and trade 615 7$aBalance of payments 615 7$aEconomics 676 $a339.5 700 $aThomas$b Alun$01098448 701 $aKim$b Jun$01485150 701 $aAslam$b Aqib$01485151 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788231003321 996 $aEquilibrium Non-Oil Current Account Assessments for Oil Producing Countries$93704139 997 $aUNINA LEADER 03192nam 22006255 450 001 9910864193903321 005 20251229072002.0 010 $a981-9728-98-3 024 7 $a10.1007/978-981-97-2898-5 035 $a(MiAaPQ)EBC31352512 035 $a(Au-PeEL)EBL31352512 035 $a(CKB)32141996800041 035 $a(DE-He213)978-981-97-2898-5 035 $a(EXLCZ)9932141996800041 100 $a20240523d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023) /$fedited by Hui Zhang, Martin Lames, Arnold Baca, Yingcai Wu 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (183 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v209 311 08$a981-9728-97-5 320 $aIncludes bibliographical references and index. 327 $aMachine Learning based Automatic Effective Round Segmentation Method for Table Tennis -- Automatic Formation Recognition in Handball Using Template Matching -- A Finite Element Model to Predict Shear Deformation in Running Shoe Midsoles during the Foot Strike. 330 $aThis book is a compilation of selected papers from the 14th International Symposium on Computer Science in Sport (IACSS 2023), held on September 27-30, 2023 in Hangzhou, China. The work focuses on the application of computer science and technology in the field of sports (such as intelligent data collection, data mining, visual analysis of game data, virtual reality, machine learning, computer vision, match prediction models and performance analysis). The contents make valuable contributions to academic researchers, college students, coaches and athletes, and sports management personnel (such as managers of sports associations, training bases, and professional clubs). Additionally, readers will encounter new ideas for realizing a more efficient and convenient training and exercise system. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v209 606 $aSports sciences 606 $aRecreation$xEquipment and supplies 606 $aComputational intelligence 606 $aMedical informatics 606 $aSport Technology 606 $aSport Analytics 606 $aComputational Intelligence 606 $aHealth Informatics 615 0$aSports sciences. 615 0$aRecreation$xEquipment and supplies. 615 0$aComputational intelligence. 615 0$aMedical informatics. 615 14$aSport Technology. 615 24$aSport Analytics. 615 24$aComputational Intelligence. 615 24$aHealth Informatics. 676 $a796 702 $aZhang$b Hui$f1705-1750, 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910864193903321 996 $aProceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023)$94230796 997 $aUNINA