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Handbook on social protection systems / / edited by Esther Schüring, Markus Loewe
Handbook on social protection systems / / edited by Esther Schüring, Markus Loewe
Autore Schüring Esther
Pubbl/distr/stampa Northampton : , : Edward Elgar Publishing, , 2021
Descrizione fisica 1 online resource (776 pages)
Disciplina 361.6
Collana Elgar Handbooks in Social Policy and Welfare
Soggetto topico Political planning
Public welfare
Soggetto non controllato Social protection
welfare state
coordination
system
poverty
risk management
ISBN 1-83910-911-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Matter -- Copyright -- Contents -- Figures -- Tables -- Boxes -- Contributors -- Foreword -- Acknowledgements -- Abbreviations -- 1. Introduction to the Handbook on Social Protection Systems -- PART I INSTRUMENTS -- Introduction: Instruments -- 2. Social transfers -- Case study A: Non-contributory social cash transfers in Zambia -- Case study B: Universal basic income grant in theory and practice -- 3. Social insurance -- Case study C: Transforming healthcare financing in Central and Eastern European countries -- Case study D: Challenges of pension funds in Iran -- 4. Labour market policies -- Case study E: Labour market policies in MENA countries -- 5. Social services -- 6. Micro-insurance -- PART II SYSTEM DESIGN -- Introduction: System design -- 7. Financing -- 8. Targeting -- 9. Human rights approaches -- 10. Actors -- 11. Systematic approaches to social protection -- Case study F: The challenges of moving towards universal social protection in Bolivia -- Case study G: Comprehensive social protection reform in South Africa -- PART III POLICY COORDINATION -- Introduction: Policy coordination -- 12. Harmonization of similar instruments -- 13. Coordination of different instruments -- Case study H: Poverty and social transfer coverage in the Kingdom of Eswatini -- 14. Graduation -- 15. Taxation and social protection -- Case study I: Simplified tax regimes and their impact on social insurance in Uruguay -- 16. The humanitarian-development nexus -- Case study J: Emergency cash transfers in Yemen -- Case study K: Palestine's national cash transfer programme: An example of cash transfer programming in a humanitarian setting -- 17. Social budgeting -- PART IV GROUPS IN FOCUS -- Introduction: Groups in focus -- 18. Gender and social protection -- Case study L: Gender analysis of social protection in Iran.
19. Disability inclusion and social protection -- 20. Child-sensitive social protection -- 21. The elderly and social protection -- 22. The informal sector and social protection -- Case study M: Extension of the contributory pension scheme to small-scale farmers in Zambia -- 23. Refugees and social protection -- PART V ADMINISTRATION -- Introduction: Administration -- 24. Delivering social transfers -- 25. Delivering social insurance -- 26. Integrated information management -- 27. Portability -- 28. Decentralization -- Case study N: Capacity development for social protection in Zambia -- PART VI POLITICAL ECONOMY -- Introduction: Political economy -- 29. International actors and social protection -- 30. Public preferences -- 31. The political economy of social protection adoption -- Case study O: Political economy of social protection in Kenya -- Case study P: Political economy of the basic income grant in South Africa -- 32. Acceptability of social protection reforms -- PART VII EFFECTS -- Introduction: Effects -- 33. Data and analysis in social protection -- Case study Q: An evidence and gap map of effectiveness studies: social protection interventions in low- and middle-income countries -- 34. Effects of social protection on poverty and inequality -- 35. Effects of social protection on food consumption and nutrition -- 36. Effects of social protection on health -- 37. The effects of social protection on economic development -- 38. Effects of social protection on social inclusion, social cohesion and nation building -- PART VIII MAJOR CHALLENGES AND REFORM OPTIONS -- Introduction: Major challenges and reform options -- 39. Demographic change -- 40. Globalization -- 41. The future of work -- 42. Climate change -- 43. Pandemics and other macro crises -- Case study R: A humanitarian social protection response to COVID-19 in Kenya -- Index.
Record Nr. UNINA-9910557591703321
Schüring Esther  
Northampton : , : Edward Elgar Publishing, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Autore Boado-Penas María del Carmen
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (xx, 298 pages) : illustrations (some color)
Altri autori (Persone) Boado-PenasMaría del Carmen
EisenbergJulia
Şahin‬‬‬Şule
Collana Springer Actuarial
Soggetto topico Epidemics
Insurance - Mathematical models
Insurance - Statistical methods
Social security
Assegurances
Models matemàtics
Estadística matemática
Seguretat social
Epidèmies
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Epidemics
Risk
Insurance
Social protection
Actuarial modelling
Open Access
ISBN 3-030-78334-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- 1 COVID-19: A Trigger for Innovations in Insurance? -- 1.1 Introduction -- 1.2 Discussions from the Perspective of Insurance and Social Protection -- 1.2.1 Commercial Insurance -- 1.2.2 The Role of the Governments and Social Protection -- 1.3 Listening to the Wind of Change -- References -- 2 Epidemic Compartmental Models and Their Insurance Applications -- 2.1 Introduction -- 2.2 Compartmental Models in Epidemiology -- 2.2.1 SIR Model -- 2.2.2 Other Compartmental Models -- 2.3 Epidemic Insurance
2.3.1 Annuities and Insurance Benefits -- 2.3.2 Reserves -- 2.3.3 Further Extensions -- 2.3.4 Case Studies: COVID-19 -- 2.4 Resource Management -- 2.4.1 Pillar I: Regional and Aggregate Resources Demand Forecast -- 2.4.2 Pillar II: Centralised Stockpiling and Distribution -- 2.4.3 Pillar III: Centralised Resources Allocation -- 2.5 Conclusion -- References -- 3 Some Investigations with a Simple Actuarial Model for Infections Such as COVID-19 -- 3.1 Introduction -- 3.2 Multiple State Actuarial Models -- 3.3 A Simple Daily Model for Infection -- 3.4 Comparisons with the SIR Model
3.5 Enhancements for COVID-19 and Initial Assumptions -- 3.6 Estimating Parameters Model 1 -- 3.7 Estimating Parameters Model 2 -- 3.8 Comments on Results of Models 1 and 2 -- 3.9 Further Extensions: Models 3 and 4 -- 3.10 Comments on Results of Models 3 and 4 -- 3.11 Projection Models -- 3.12 Problems and Unknowns -- 3.13 Other Countries -- 3.14 Conclusions -- References -- 4 Stochastic Mortality Models and Pandemic Shocks -- 4.1 Stochastic Mortality Models and the COVID-19 Shock -- 4.2 The Impact of COVID-19 on Mortality Rates
4.3 Stochastic Mortality Models and Pandemics: Single-Population Models -- 4.3.1 Discrete-Time Single Population Models -- 4.3.2 Continuous-Time Single-Population Models -- 4.4 Stochastic Mortality Models and Pandemics: Multi-population -- 4.4.1 Discrete-Time Models -- 4.4.2 Continuous-Time Models -- 4.5 A Continuous-Time Multi-population Model with Jumps -- 4.6 Conclusions -- References -- 5 A Mortality Model for Pandemics and Other Contagion Events -- 5.1 Introduction -- 5.2 Highlights of Methodology and Findings -- 5.2.1 Summary of Methodology -- 5.2.2 Summary of Findings
5.3 Semiparametric Regression in MCMC -- 5.3.1 MCMC Parameter Shrinkage -- 5.3.2 Spline Regressions -- 5.3.3 Why Shrinkage? -- 5.3.4 Cross Validation in MCMC -- 5.4 Model Details -- 5.4.1 Formulas -- 5.4.2 Fitting Process -- 5.5 Results -- 5.5.1 Extensions: Generalisation, Projections and R Coding -- 5.6 Conclusions -- References -- 6 Risk-Sharing and Contingent Premia in the Presence of Systematic Risk: The Case Study of the UK COVID-19 Economic Losses -- 6.1 Introduction -- 6.2 Risk Levels and Systematic Risk in Insurance -- 6.3 Mathematical Setup -- 6.3.1 Probability Space
6.3.2 Insurance Preliminaries
Altri titoli varianti Pandemics
Record Nr. UNISA-996466419903316
Boado-Penas María del Carmen  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Autore Boado-Penas María del Carmen
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (xx, 298 pages) : illustrations (some color)
Altri autori (Persone) Boado-PenasMaría del Carmen
EisenbergJulia
Şahin‬‬‬Şule
Collana Springer Actuarial
Soggetto topico Epidemics
Insurance - Mathematical models
Insurance - Statistical methods
Social security
Assegurances
Models matemàtics
Estadística matemática
Seguretat social
Epidèmies
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Epidemics
Risk
Insurance
Social protection
Actuarial modelling
Open Access
ISBN 3-030-78334-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- 1 COVID-19: A Trigger for Innovations in Insurance? -- 1.1 Introduction -- 1.2 Discussions from the Perspective of Insurance and Social Protection -- 1.2.1 Commercial Insurance -- 1.2.2 The Role of the Governments and Social Protection -- 1.3 Listening to the Wind of Change -- References -- 2 Epidemic Compartmental Models and Their Insurance Applications -- 2.1 Introduction -- 2.2 Compartmental Models in Epidemiology -- 2.2.1 SIR Model -- 2.2.2 Other Compartmental Models -- 2.3 Epidemic Insurance
2.3.1 Annuities and Insurance Benefits -- 2.3.2 Reserves -- 2.3.3 Further Extensions -- 2.3.4 Case Studies: COVID-19 -- 2.4 Resource Management -- 2.4.1 Pillar I: Regional and Aggregate Resources Demand Forecast -- 2.4.2 Pillar II: Centralised Stockpiling and Distribution -- 2.4.3 Pillar III: Centralised Resources Allocation -- 2.5 Conclusion -- References -- 3 Some Investigations with a Simple Actuarial Model for Infections Such as COVID-19 -- 3.1 Introduction -- 3.2 Multiple State Actuarial Models -- 3.3 A Simple Daily Model for Infection -- 3.4 Comparisons with the SIR Model
3.5 Enhancements for COVID-19 and Initial Assumptions -- 3.6 Estimating Parameters Model 1 -- 3.7 Estimating Parameters Model 2 -- 3.8 Comments on Results of Models 1 and 2 -- 3.9 Further Extensions: Models 3 and 4 -- 3.10 Comments on Results of Models 3 and 4 -- 3.11 Projection Models -- 3.12 Problems and Unknowns -- 3.13 Other Countries -- 3.14 Conclusions -- References -- 4 Stochastic Mortality Models and Pandemic Shocks -- 4.1 Stochastic Mortality Models and the COVID-19 Shock -- 4.2 The Impact of COVID-19 on Mortality Rates
4.3 Stochastic Mortality Models and Pandemics: Single-Population Models -- 4.3.1 Discrete-Time Single Population Models -- 4.3.2 Continuous-Time Single-Population Models -- 4.4 Stochastic Mortality Models and Pandemics: Multi-population -- 4.4.1 Discrete-Time Models -- 4.4.2 Continuous-Time Models -- 4.5 A Continuous-Time Multi-population Model with Jumps -- 4.6 Conclusions -- References -- 5 A Mortality Model for Pandemics and Other Contagion Events -- 5.1 Introduction -- 5.2 Highlights of Methodology and Findings -- 5.2.1 Summary of Methodology -- 5.2.2 Summary of Findings
5.3 Semiparametric Regression in MCMC -- 5.3.1 MCMC Parameter Shrinkage -- 5.3.2 Spline Regressions -- 5.3.3 Why Shrinkage? -- 5.3.4 Cross Validation in MCMC -- 5.4 Model Details -- 5.4.1 Formulas -- 5.4.2 Fitting Process -- 5.5 Results -- 5.5.1 Extensions: Generalisation, Projections and R Coding -- 5.6 Conclusions -- References -- 6 Risk-Sharing and Contingent Premia in the Presence of Systematic Risk: The Case Study of the UK COVID-19 Economic Losses -- 6.1 Introduction -- 6.2 Risk Levels and Systematic Risk in Insurance -- 6.3 Mathematical Setup -- 6.3.1 Probability Space
6.3.2 Insurance Preliminaries
Altri titoli varianti Pandemics
Record Nr. UNINA-9910504284203321
Boado-Penas María del Carmen  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pandemics: Insurance and Social Protection / María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ editors
Pandemics: Insurance and Social Protection / María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ editors
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xx, 298 p. : ill. ; 24 cm
Soggetto non controllato Actuarial modelling
Epidemics
Insurance
Risk
Social protection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277982
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Pandemics: Insurance and Social Protection / María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ editors
Pandemics: Insurance and Social Protection / María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬ editors
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xx, 298 p. : ill. ; 24 cm
Soggetto non controllato Actuarial modelling
Epidemics
Insurance
Risk
Social protection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00277982
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui