LEADER 07109oam 22013934 450 001 9910956115103321 005 20251116183910.0 010 $a9786613825469 010 $a9781462309399 010 $a1462309399 010 $a9781452712772 010 $a1452712778 010 $a9781283513012 010 $a1283513013 010 $a9781451913194 010 $a1451913192 035 $a(CKB)3360000000443538 035 $a(EBL)1607691 035 $a(SSID)ssj0000949370 035 $a(PQKBManifestationID)11598651 035 $a(PQKBTitleCode)TC0000949370 035 $a(PQKBWorkID)10997921 035 $a(PQKB)10866949 035 $a(OCoLC)560672904 035 $a(MiAaPQ)EBC1607691 035 $a(IMF)WPIEE2008004 035 $a(IMF)WPIEA2008004 035 $aWPIEA2008004 035 $a(EXLCZ)993360000000443538 100 $a20020129d2008 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDoes Technological Diffusion Explain Australia?s Productivity Performance? /$fThierry Tressel 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2008. 215 $a1 online resource (44 p.) 225 1 $aIMF Working Papers 300 $a"January 2008." 311 08$a9781451868661 311 08$a1451868669 320 $aIncludes bibliographical references (p. 24-27). 327 $aContents; I. Introduction; II. Productivity Performance and Reforms in Australia; A. Australian Productivity Performance since 1990: Key Facts; Figures; 1. Australia's Productivity Performance; 2. Investments in Information and Communication Technologies; 3. Sectoral Contributions to Real GDP Growth; B. The Reform Process in Australia; 4. Employment Protection Legislations in OECD Countries; III. Empirical Model and Data Description; A. Theory; 5. Product Market Reforms in Australia; B. Empirical Specification; C. The Long-Run Impact of Covariates X on MFP and Capital-Labor Ratio Levels 327 $aD. Data Sources and Methodology Tables; 1. Sectoral Decomposition; E. Growth Accounting; F. Level Accounting; G. Exchange Rates for International Comparisons; IV. Empirical Analysis; A. A First Look at the Data; B. Regression Results; C. Robustness Tests; D. Do Reforms Explain Australia's Productivity Performance?; E. Other Determinants of MFP Convergence: the Role of Human Capital and R&D ..; V. Conclusion; References; 2. Summary Statistics (1980-2003); 3. Correlations; 4. Multi-Factor Productivity Leaders; 6. Australian Industries MFP Levels (relative to U.S.) 327 $a5. Convergence of Australian Industries' Technology Level in a Panel of OECD Countries 6. Impact of Product Market Regulations of MFP Growth; 7. Impact of Labor Market Institutions on MFP Growth; 8. Disentangling the Effects of Product and Labor Market Institutions on MFP Growth; 9. Impact of Labor and Product Market Institutions on ICT Capital Deepening; 10. Predicted Impact of Product and Labor Market Reforms; 11. Controlling for Other Determinants of MFP Growth; Appendixes; I. The Impact of Product and Labor Market Institutions on Labor Productivity; II. Dropping Countries One by One 327 $aIII. Regressions with 3-year Averages 330 3 $aThis paper analyzes the impact of product and labor market policies on technological diffusion and multi-factor productivity (MFP) in a panel of industries in 15 OECD countries over the period 1980 to 2003, with a special focus on Australia. We use a simple convergence empirical framework to show that, on average, convergence of MFP within industries across countries has slowed-down in the 1990s. In contrast, Australian industries have significantly caught-up with industry productivity best practices over the past 16 years, and have benefited from the diffusion of Information and Communication Technologies (ICTs). We show that reforms of both the labor and product markets since the early 1990s can explain Australia's productivity performance and adoption of ICTs. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2008/004 606 $aIndustrial productivity$zAustralia$xEconometric models 606 $aTechnological innovations$zAustralia$xEconometric models 606 $aManpower policy$zAustralia$xEconometric models 606 $aAggregate Human Capital$2imf 606 $aAggregate Labor Productivity$2imf 606 $aCapacity$2imf 606 $aCapital and Total Factor Productivity$2imf 606 $aCapital productivity$2imf 606 $aCommodity exchanges$2imf 606 $aCommodity markets$2imf 606 $aCost$2imf 606 $aEmployment$2imf 606 $aFinance$2imf 606 $aFinance: General$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aIndustrial productivity$2imf 606 $aInformation technology in revenue administration$2imf 606 $aIntergenerational Income Distribution$2imf 606 $aMacroeconomics$2imf 606 $aMacroeconomics: Production$2imf 606 $aProduction and Operations Management$2imf 606 $aProduction$2imf 606 $aProductivity$2imf 606 $aPublic finance & taxation$2imf 606 $aPublic Finance$2imf 606 $aRevenue$2imf 606 $aTaxation, Subsidies, and Revenue: General$2imf 606 $aTotal factor productivity$2imf 606 $aUnemployment$2imf 606 $aWages$2imf 607 $aAustralia$2imf 615 0$aIndustrial productivity$xEconometric models. 615 0$aTechnological innovations$xEconometric models. 615 0$aManpower policy$xEconometric models. 615 7$aAggregate Human Capital 615 7$aAggregate Labor Productivity 615 7$aCapacity 615 7$aCapital and Total Factor Productivity 615 7$aCapital productivity 615 7$aCommodity exchanges 615 7$aCommodity markets 615 7$aCost 615 7$aEmployment 615 7$aFinance 615 7$aFinance: General 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aIndustrial productivity 615 7$aInformation technology in revenue administration 615 7$aIntergenerational Income Distribution 615 7$aMacroeconomics 615 7$aMacroeconomics: Production 615 7$aProduction and Operations Management 615 7$aProduction 615 7$aProductivity 615 7$aPublic finance & taxation 615 7$aPublic Finance 615 7$aRevenue 615 7$aTaxation, Subsidies, and Revenue: General 615 7$aTotal factor productivity 615 7$aUnemployment 615 7$aWages 676 $a338.900153535 700 $aTressel$b Thierry$01804345 712 02$aInternational Monetary Fund.$bResearch Department. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910956115103321 996 $aDoes Technological Diffusion Explain Australia?s Productivity Performance$94371803 997 $aUNINA