LEADER 01145nam0-2200361---450- 001 990009496590403321 005 20150205115330.0 010 $a88-207-3614-4 035 $a000949659 035 $aFED01000949659 035 $a(Aleph)000949659FED01 035 $a000949659 100 $a20111129d2003----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a<>educazione degli adulti$eun sottoconto Satellite dell'Istruzione nella provincia di Napoli nel 2001$fClaudio Quintano, Rosalia Castellano, Sergio Longobardi 210 $aNapoli$cLiguori$d2003 215 $a110 p.$cill.$d24 cm 225 1 $aDomini$iRapporti di ricerca$v5 610 0 $aEducazione degli adulti 610 0 $aStatistiche economiche 676 $a374$v22$zita 700 1$aQuintano,$bClaudio$f<1944- >$0367883 701 1$aCastellano,$bRosalia$0101877 701 1$aLongobardi,$bSergio$0514546 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990009496590403321 952 $aCollez. 2472 (5)$b45548$fFSPBC 959 $aFSPBC 996 $aEducazione degli adulti$9851765 997 $aUNINA LEADER 05082nam 2200673Ia 450 001 9910454561003321 005 20200520144314.0 010 $a1-280-77122-4 010 $a9786613681997 010 $a1-84855-309-9 035 $a(CKB)1000000000766423 035 $a(EBL)453251 035 $a(OCoLC)535128176 035 $a(SSID)ssj0000335048 035 $a(PQKBManifestationID)11273984 035 $a(PQKBTitleCode)TC0000335048 035 $a(PQKBWorkID)10272914 035 $a(PQKB)11363623 035 $a(MiAaPQ)EBC453251 035 $a(PPN)140059202 035 $a(Au-PeEL)EBL453251 035 $a(CaPaEBR)ebr10315757 035 $a(CaONFJC)MIL368199 035 $a(EXLCZ)991000000000766423 100 $a20090121d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBayesian econometrics$b[electronic resource] /$fedited by Siddhartha Chib ... [et al.] 210 $aBingley, UK $cEmerald JAI$d2008 215 $a1 online resource (656 p.) 225 1 $aAdvances in econometrics,$x0731-9053 ;$vv. 23 300 $aDescription based upon print version of record. 311 $a1-84855-308-0 320 $aIncludes bibliographical references. 327 $aBayesian Econometrics; Copyright Page; Contents; List of Contributors; Part I: Introduction; Chapter 1. Bayesian Econometrics: An Introduction; 1. Introduction; 2. Microeconometric Modeling; 3. Time-Series Modeling; References; Chapter 2. Bayesian Econometrics: Past, Present, and Future; 1. Introduction; 2. The Past; 3. The Present State of Bayesian Econometrics; 4. The Future; Acknowledgments; References; Chapter 3. Bayesian Inference Using Adaptive Sampling; 1. Introduction; 2. Adaptive Sampling for Variable Selection in a Gaussian Linear Regression Model 327 $a3. Modeling Interventions in Time Series 4. Adaptive Sampling for Continuous Parameters; 5. Theory for Adaptive Sampling; 6. Adaptation for General Variable Selection Problems; Acknowledgment; References; Part II: Microeconometric Modeling; Chapter 4. A Bayesian Analysis of the Op es Model with a Nonparametric Component: An Application to Dental Insurance and Dental Care; Chapter 5. Fitting and Comparison of Models for Multivariate Ordinal Outcomes; 1. Introduction; 2. Background and Literature Review; 3. Econometric Framework; 4. Application; 5. Conclusion; References; 1. Introduction 327 $a2. Ordinal Data Models for Univariate Outcomes 3. Multivariate Ordinal Outcomes; 4. Model Comparison; 5. Additional Considerations; 6. Applications; 7. Conclusion; Acknowledgment; References; Chapter 6. Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach; 1. Introduction; 2. The Model, Posterior Simulator and Posterior Predictives; 3. The Data; 4. Empirical Results; 5. Conclusion; Notes; Acknowledgment; References; Chapter 7. Causal Effects from Panel Data in Randomized Experiments with Partial Compliance; 1. Introduction; 2. Data; 3. Bayesian Modeling 327 $a4. Prior-Posterior Analysis 5. Analysis of Treatment Effects; 6. Conclusion; References; Appendix. MCMC Algorithms in Detail; Chapter 8. Parametric and Nonparametric Inference in Equilibrium Job Search Models; 1. Introduction; 2. The Basic Equilibrium Search Model; 3. Parametric Extensions of the Equilibrium Search Model; 4. Nonparametric Extensions of the Equilibrium Search Model; 5. Empirical Results; 6. Conclusions; Notes; References; Appendix. Bayesian Inference and Computation; Chapter 9. Do Subsidies Drive Productivity? A Cross-Country Analysis of Nordic Dairy Farms 327 $a1. Introduction and Motivation 2. Modeling Subsidies in Production; 3. Data; 4. Empirical Results; 5. Conclusion; Notes; References; Chapter 10. Semiparametric Bayesian Estimation of Random Coefficients Discrete Choice Models; 1. Introduction; 2. Mixture of Dependent Dirichlet Process Models; 3. Dependent Dirichlet Process Priors in Discrete Choice Models with Individual-Level Data; 4. Dependent Dirichlet Process Priors in Discrete Choice Models with Aggregate Data Andsolor Endogeneity; 5. Empirical Applications; 6. Conclusion; Note; References 327 $aChapter 11. Bayesian Two-Stage Regression with Parametric Heteroscedasticity 330 $aIllustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. 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