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Pandora Sicilia s.r.l. 082 04$a332.642 100 1 $aDe Pietri Tonelli, Alfonso$0238649 245 13$aLa borsa :$bl'ambiente, le operazioni, la teoria, la regolamentazione /$cAlfonso de Pietri -Tonelli ; a cura di Bianca Lucia Mazzei ; introduzione di Massimo de Felice 260 $aTorino :$bUTET libreria :$bEdizioni di Banche e banchieri,$cc1994 300 $aXXXIV, 176 p. ;$c24 cm 440 0$aScrittori italiani della moneta e della banca 500 $aIn custodia 650 4$aBorse 700 1 $aMazzei, Bianca Lucia 907 $a.b1319771x$b02-04-14$c23-09-04 912 $a991000265449707536 945 $aLE025 ECO 332.6 DEP01.01$g1$i2025000153080$lle025$nC. 1$o-$pE22.00$q-$rl$s- $t0$u4$v0$w4$x0$y.i13851664$z23-09-04 996 $aBorsa$9427550 997 $aUNISALENTO 998 $ale025$b23-09-04$cm$da $e-$fita$git $h3$i1 LEADER 01338nam 2200373 450 001 9910375972903321 005 20230824114511.0 035 $a(CKB)4100000007597662 035 $a(NjHacI)994100000007597662 035 $a(EXLCZ)994100000007597662 100 $a20230824d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 15th ACM Symposium on Applied Perception /$fCindy Grimm ; Association for Computing Machinery-Digital Library, ACM Symposium on Applied Perception 2018 210 1$aNew York, New York :$cAssociation for Computing Machinery (ACM),$d2018. 215 $a1 online resource (162 pages) $cillustrations 311 $a1-4503-5894-2 606 $aComputer graphics$vCongresses 606 $aInformation visualization$vCongresses 615 0$aComputer graphics 615 0$aInformation visualization 676 $a006.6 700 $aGrimm$b Cindy$0867847 712 02$aAssociation for Computing Machinery-Digital Library, 712 12$aACM Symposium on Applied Perception 2018, 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910375972903321 996 $aProceedings of the 15th ACM Symposium on Applied Perception$93507239 997 $aUNINA LEADER 04922nam 2200625Ia 450 001 9910970498303321 005 20240417003439.0 010 $a0-309-18035-X 010 $a1-280-60448-4 010 $a9786610604487 010 $a0-309-66282-6 035 $a(CKB)1000000000467202 035 $a(SSID)ssj0000177359 035 $a(PQKBManifestationID)12020874 035 $a(PQKBTitleCode)TC0000177359 035 $a(PQKBWorkID)10217787 035 $a(PQKB)10233461 035 $a(MiAaPQ)EBC3378142 035 $a(Au-PeEL)EBL3378142 035 $a(CaPaEBR)ebr10146772 035 $a(OCoLC)923277112 035 $a(BIP)53858220 035 $a(BIP)13650788 035 $a(EXLCZ)991000000000467202 100 $a20060717d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aImproving business statistics through interagency data sharing $esummary of a workshop /$fSteering Committee for the Workshop on the Benefits of Interagency Business Data Sharing, Committee on National Statistics Division of Behavioral and Social Sciences and Education, National Research Council of the National Academies, Caryn Kuebler and Christopher Mackie, rapporteurs 205 $a1st ed. 210 $aWashington, DC $cNational Academies Press$dc2006 210 4$a©2006 215 $a1 online resource (xii, 143 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 0 $a0-309-10261-8 320 $aIncludes bibliographical references. 327 $aFrontMatter -- Preface -- Contents -- Part I Workshop Summary -- 1 Introduction -- 2 The Benefits of Data Sharing to the Statistical Agencies -- 3 Research and Policy Perspectives on the Benefits of Business Data Sharing -- 4 Key Points from the Presentations: Directions for the Future -- References -- Appendix A Workshop Agenda and Attendees -- Appendix B Recent Legislation Governing Data Sharing and Access to Federal Tax Data -- Part II Background Papers -- 5 Data-Sharing History and Legislation: Background Notes--Robert P. Parker -- 6 IRS Data, Data Users, and Data Sharing--Nick Greenia and Mark Mazur -- 7 The Importance of Data Sharing to Consistent Macroeconomic Statistics--Dennis Fixler and J. Steven Landefeld -- 8 Using Tax Return Data to Improve Estimates of Corporate Profits--George A. Plesko. 330 $aU.S. business data are used broadly, providing the building blocks for key national-as well as regional and local-statistics measuring aggregate income and output, employment, investment, prices, and productivity. Beyond aggregate statistics, individual- and firm-level data are used for a wide range of microanalyses by academic researchers and by policy makers. In the United States, data collection and production efforts are conducted by a decentralized system of statistical agencies. This apparatus yields an extensive array of data that, particularly when made available in the form of microdata, provides an unparalleled resource for policy analysis and research on social issues and for the production of economic statistics. However, the decentralized nature of the statistical system also creates challenges to efficient data collection, to containment of respondent burden, and to maintaining consistency of terms and units of measurement. It is these challenges that raise to paramount importance the practice of effective data sharing among the statistical agencies. With this as the backdrop, the Bureau of Economic Analysis (BEA) asked the Committee on National Statistics of the National Academies to convene a workshop to discuss interagency business data sharing. The workshop was held October 21, 2005. This report is a summary of the discussions of that workshop. The workshop focused on the benefits of data sharing to two groups of stakeholders: the statistical agencies themselves and downstream data users. Presenters were asked to highlight untapped opportunities for productive data sharing that cannot yet be exploited because of regulatory or legislative constraints. The most prominently discussed example was that of tax data needed to reconcile the two primary business lists use by the statistical agencies. 606 $aCommercial statistics$vCongresses 607 $aUnited States$xStatistical services$vCongresses 607 $aUnited States$xCommerce$vStatistics$vCongresses 615 0$aCommercial statistics 676 $a650.072/7 701 $aKuebler$b Caryn$01868968 701 $aMackie$b Christopher D$0613931 712 02$aNational Research Council (U.S.).$bCommittee on National Statistics. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910970498303321 996 $aImproving business statistics through interagency data sharing$94477040 997 $aUNINA