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Introduction; II. Benford's Law and Testing Methodology; A. Benford's Law; B. Testing Methodology; III. Conformity of Macroeconomic Data with Benford's Law; IV. Comparison of Goodness of Fit Tests Results with ROSC Assessments of Data Quality; V. Can Tests of Conformity with Benford's Law be Considered Reliable Indicators of Macroeconomic Data Quality ?; VI. Conclusion; Text Tables; 1. Banking Survey Statistics: Goodness of Fit Tests; 2. Balance of Payments Statistics: Goodness of Fit Tests; 3. National Accounts Statistics: Goodness of Fit Tests 327 $a4. Government Finance Statistics: Goodness of Fit Tests5. Rejections of Benford's Law and Shares of LNO and NO Ratings; Appendix: Country Groups and Data Series Used; Appendix Tables; A.1. Groups of Countries; A2. Data Series Tested; Text Figures; 1. Finland and Japan Nominal GDP; 2. Niger Nominal GDP, Household Consumption and Gross Fixed Capital Formation; References 330 3 $aThis paper examines the usefulness of testing the conformity of macroeconomic data with Benford's law as indicator of data quality. Most of the macroeconomic data series tested conform with Benford's law. However, questions emerge on the reliability of such tests as indicators of data quality once conformity with Benford's law is contrasted with the data quality ratings included in the data module of the Reports on the Observance of Standards and Codes (data ROSCs). Furthermore, the analysis shows that rejection of Benford's law may be unrelated to the quality of statistics, and instead may result from marked structural shifts in the data series. Hence, nonconformity with Benford's law should not be interpreted as a reliable indication of poor quality in macroeconomic data. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/010 606 $aBusiness & Economics$2HILCC 606 $aEconomic Theory$2HILCC 606 $aInvestments: General$2imf 606 $aMacroeconomics$2imf 606 $aMoney and Monetary Policy$2imf 606 $aStatistics$2imf 606 $aEconometric and Statistical Methods: General$2imf 606 $aMethodology for Collecting, Estimating, and Organizing Macroeconomic Data$2imf 606 $aData Access$2imf 606 $aMeasurement and Data on National Income and Product Accounts and Wealth$2imf 606 $aEnvironmental Accounts$2imf 606 $aMonetary Systems$2imf 606 $aStandards$2imf 606 $aRegimes$2imf 606 $aGovernment and the Monetary System$2imf 606 $aPayment Systems$2imf 606 $aGeneral Aggregative Models: General$2imf 606 $aInvestment$2imf 606 $aCapital$2imf 606 $aIntangible Capital$2imf 606 $aCapacity$2imf 606 $aData Collection and Data Estimation Methodology$2imf 606 $aComputer Programs: Other$2imf 606 $aCurrent Account Adjustment$2imf 606 $aShort-term Capital Movements$2imf 606 $aEconometrics & economic statistics$2imf 606 $aMonetary economics$2imf 606 $aCurrencies$2imf 606 $aNational accounts$2imf 606 $aGross fixed investment$2imf 606 $aGovernment finance statistics$2imf 606 $aBalance of payments statistics$2imf 606 $aMoney$2imf 606 $aEconomic and financial statistics$2imf 606 $aNational income$2imf 606 $aSaving and investment$2imf 606 $aFinance$2imf 606 $aBalance of payments$2imf 607 $aUnited States$2imf 615 7$aBusiness & Economics 615 7$aEconomic Theory 615 7$aInvestments: General 615 7$aMacroeconomics 615 7$aMoney and Monetary Policy 615 7$aStatistics 615 7$aEconometric and Statistical Methods: General 615 7$aMethodology for Collecting, Estimating, and Organizing Macroeconomic Data 615 7$aData Access 615 7$aMeasurement and Data on National Income and Product Accounts and Wealth 615 7$aEnvironmental Accounts 615 7$aMonetary Systems 615 7$aStandards 615 7$aRegimes 615 7$aGovernment and the Monetary System 615 7$aPayment Systems 615 7$aGeneral Aggregative Models: General 615 7$aInvestment 615 7$aCapital 615 7$aIntangible Capital 615 7$aCapacity 615 7$aData Collection and Data Estimation Methodology 615 7$aComputer Programs: Other 615 7$aCurrent Account Adjustment 615 7$aShort-term Capital Movements 615 7$aEconometrics & economic statistics 615 7$aMonetary economics 615 7$aCurrencies 615 7$aNational accounts 615 7$aGross fixed investment 615 7$aGovernment finance statistics 615 7$aBalance of payments statistics 615 7$aMoney 615 7$aEconomic and financial statistics 615 7$aNational income 615 7$aSaving and investment 615 7$aFinance 615 7$aBalance of payments 676 $a339 700 $aGonzalez-Garcia$b Jesus$01800337 701 $aPastor Campos$b Gonzalo$01800338 801 0$bDcWaIMF 906 $aBOOK 912 $a9910961922503321 996 $aBenford?s Law and Macroeconomic Data Quality$94345088 997 $aUNINA LEADER 00830nam a2200253 i 4500 001 991004378033807536 005 20250428101506.0 008 250428s1994 it er 001 f ita d 020 $a8877103019 040 $aBibl. Dip.le Aggr. Studi Umanistici - Sez. Filosofia$bita$cSocioculturale Scs 041 1 $aita$hfre 082 04$a843.8$223 100 1 $aHuysmans, Joris-Karl$0160346 240 10$aA vau-l'eau$9306947 245 10$aAlla deriva /$cJ.-K. Huysmans ; postfazione e note di René-Pierre Colin ; trad. di Lucia Corradini 260 $aMilano :$bSE,$c1994 300 $a87 p. ;$c20 cm 490 1 $aPiccola enciclopedia ;$v106 700 1 $aColin, René-Pierre 700 1 $aCorradini, Lucia 830 0$aPiccola enciclopedia ;$v106 912 $a991004378033807536 996 $aA vau-l'eau$9306947 997 $aUNISALENTO LEADER 03121nam 22005415 450 001 9910768442003321 005 20251201182842.0 010 $a981-9952-57-3 024 7 $a10.1007/978-981-99-5257-1 035 $a(MiAaPQ)EBC30999745 035 $a(Au-PeEL)EBL30999745 035 $a(OCoLC)1412621275 035 $a(CKB)29287175200041 035 $a(DE-He213)978-981-99-5257-1 035 $a(EXLCZ)9929287175200041 100 $a20231204d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnti-Fraud Engineering for Digital Finance $eBehavioral Modeling Paradigm /$fby Cheng Wang 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (213 pages) 225 1 $aEconomics and Finance Series 311 08$aPrint version: Wang, Cheng Anti-Fraud Engineering for Digital Finance Singapore : Springer Singapore Pte. Limited,c2023 9789819952564 320 $aIncludes bibliographical references. 327 $aOverview of Digital Finance Anti Fraud Vertical Association Modeling: Latent Interaction Modeling -- Horizontal Association Modeling: Deep Relation Modeling -- Explicable Integration Techniques: Relative Temporal Position Taxonomy -- Multidimensional Behavior Fusion: Joint Probabilistic Generative Modeling -- Knowledge Oriented Strategies: Dedicated Rule Engine -- Enhancing Association Utility: Dedicated Knowledge Graph -- Associations Dynamic Evolution: Evolving Graph Transformer. 330 $aThis book offers an introduction to the topic of anti-fraud in digital finance based on the behavioral modeling paradigm. It deals with the insufficiency and low-quality of behavior data and presents a unified perspective to combine technology, scenarios, and data for better anti-fraud performance. The goal of this book is to provide a non-intrusive second security line, rather than replaced with existing solutions, for anti-fraud in digital finance. By studying common weaknesses in typical fields, it can support the behavioral modeling paradigm across a wide array of applications. It covers the latest theoretical and experimental progress and offers important information that is just as relevant for researchers as for professionals. 410 0$aEconomics and Finance Series (Springer Nature Singapore) 606 $aSocial sciences$xData processing 606 $aEconomics$xPsychological aspects 606 $aComputer Application in Social and Behavioral Sciences 606 $aBehavioral Finance 615 0$aSocial sciences$xData processing. 615 0$aEconomics$xPsychological aspects. 615 14$aComputer Application in Social and Behavioral Sciences. 615 24$aBehavioral Finance. 676 $a910.5 700 $aWang$b Cheng$f1370-1415,$01460128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768442003321 996 $aAnti-Fraud Engineering for Digital Finance$93659847 997 $aUNINA