Health Econometrics.

Front Cover -- Contributionsto Economic Analysis 294 -- Health Econometrics -- Copyright Page -- Contents -- List of Contributors -- Editors' Introduction -- Summary of the Chapters -- References -- Acknowledgments -- CHAPTER 1 Experimental Methods and Behavioral Insights in Health Economics: Estimating Risk and Time Preferences in Health -- 1.1. Introduction -- 1.2. Randomized controlled trials and experiments in health economics -- 1.3. Measuring risk and time preferences in health: a review of methods -- 1.3.1. Measuring risk taking in health -- 1.3.2. Measuring time preferences in health -- 1.4. Jointly eliciting and estimating risk and time preferences: the behavioral econometrics approach -- 1.4.1. General framework -- 1.4.2. An identification problem -- 1.4.3. Choice under risk -- 1.4.4. Individual discounting -- 1.4.5. Experimental design and experimental tests -- 1.4.6. Econometrics -- 1.4.7. Applications to health -- 1.5. Conclusions -- References -- CHAPTER 2 Subjective Expectations of Medical Expenditures and Insurance in Rural Ethiopia -- 2.1. Introduction -- 2.2. Sample and survey instrument -- 2.2.1. Sampling design -- 2.2.2. Belief elicitation -- 2.2.3. Medical expenditure data -- 2.3. Validity of subjective probability data -- 2.3.1. Response rates -- 2.3.2. Illogical responses -- 2.3.3. Distribution of responses -- 2.4. Comparison of forecasts and realizations -- 2.4.1. Moments of forecast medical expenditure distributions -- 2.4.2. Correlation between expected and realized expenditures -- 2.5. Face validity and the formation of expectations -- 2.5.1. Predictors of the household-specific mean -- 2.5.2. Revisions to expectations -- 2.6. Predictive value of expectations -- 2.7. Do expectations influence the decision to insure? -- 2.8. Conclusion -- Acknowledgements -- References -- CHAPTER 3 Social Insurance and Health.

3.1. Introduction -- 3.2. Social insurance and health: the health econometric evidence -- 3.2.1. A brief review of the empirical methods -- 3.2.2. Measurement of health -- 3.2.2.1. Subjective self-reported health measures -- 3.2.2.2. Objective health measures -- 3.2.2.3. Quality-related life measures and vignettes -- 3.2.3. Health insurance and health -- 3.2.3.1. RAND Health Insurance Experiment -- 3.2.3.2. Oregon health insurance experiment -- 3.2.3.3. Other evidence -- 3.2.4. Sick leave insurance and rehabilitation -- 3.2.5. Accident insurance ("workers compensation") -- 3.2.6. Disability insurance -- 3.2.7. Long-term care insurance -- 3.2.8. Unemployment insurance -- 3.2.9. Statutory pension insurance -- 3.3. Discussion and conclusion -- Acknowledgments -- References -- Chapter 4 Discrete Choice Methods in Health Economics -- 4.1. Introduction -- 4.2. The workhorse models: multinomial and mixed logit -- 4.3. Scale heterogeneity -- 4.4. Estimation in willingness to pay space -- 4.5. Attribute non-attendance -- 4.6. Conclusion -- References -- CHAPTER 5 Migration, Health, and Well-being: Models and Methods -- 5.1. Introduction -- 5.2. Understanding immigrant health trajectories -- 5.2.1. Healthy immigrant effect -- 5.2.2. Modeling selection and regression toward the mean -- 5.2.3. Using administrative records -- 5.2.4. Natural and quasi-natural experiments -- 5.2.5. Visa status, immigration policy, and health selectivity -- 5.2.6. Identifying the role of cultural assimilation and language skills -- 5.2.7. Immigrant and health insurance coverage -- 5.3. Effects of immigration on demand and supply of health care services -- 5.3.1. Immigration and the demand of health care services -- 5.3.2. Effects of immigration on working conditions and work-related risks -- 5.3.3. Immigration and the supply of health care services.

5.3.4. Effects of immigration on the health of those left behind -- 5.4. Conclusions -- References -- CHAPTER 6 Econometric Considerations When Using the Net Benefit Regression Framework to Conduct Cost-effectiveness Analysis -- 6.1. Introduction -- 6.2. Background -- 6.2.1. The incremental cost-effectiveness ratio -- 6.2.2. The incremental net benefit -- 6.2.3. The net benefit regression framework -- 6.3. Methods -- 6.3.1. Criticisms of the NBRF -- 6.3.2. Critique of SUR in CEA -- 6.3.3. An overview of GMM -- 6.3.4. The relationship between GMM, SUR, and OLS -- 6.4. Case study -- 6.4.1. Background on the study -- 6.4.2. Background on the data -- 6.4.3. Estimation strategies -- 6.5. Results -- 6.5.1. Equation-by-equation estimation -- 6.5.2. Simultaneous equations estimation -- 6.5.3. Characterizing uncertainty -- 6.6. Discussion -- References -- Appendix -- CHAPTER 7 Anchoring Vignettes and Cross-country Comparability: An Empirical Assessment of Self-reported Mobility -- 7.1. Introduction -- 7.2. Methods -- 7.2.1. Non-parametric estimation -- 7.2.2. Parametric estimation: the HOPIT model -- 7.2.2.1. Reporting behaviour -- 7.2.2.2. Health equation -- 7.3. Data -- 7.3.1. Self-reported mobility -- 7.3.2. Objective measures of mobility -- 7.3.3. Socio-demographic variables -- 7.4. Study design -- 7.5. Results -- 7.6. Discussion and conclusion -- Acknowledgements -- References -- Appendix -- CHAPTER 8 Response of Parental Investments to Child's Health Endowment at Birth -- 8.1. Introduction -- 8.2. Parental investment model -- 8.2.1. Conceptual framework -- 8.2.2. Econometric strategy -- 8.3. Data -- 8.3.1. Data and sample selection -- 8.4. Estimation results -- 8.5. Conclusion -- Acknowledgements -- References -- Additional Tables -- CHAPTER 9 R&amp -- D Success in Pharmaceutical Markets: A Duration Model Approach -- 9.1. Introduction -- 9.2. Methods.

9.2.1. Nature of the R&amp -- D process -- 9.2.2. Modelling the likelihood of failure in R&amp -- D -- 9.2.2.1. The hazard function -- 9.2.2.2. Estimation strategy -- 9.2.2.3. Time-varying characteristics and time-varying effects -- 9.2.3. Successful transition to the next R&amp -- D stage as a competing risk of failure -- 9.2.3.1. Estimation strategy -- 9.2.3.2. What to control for? -- 9.3. Discussion and final remarks -- References -- CHAPTER 10 Medical Malpractice: How Legal Liability Affects Medical Decisions -- 10.1. Introduction -- 10.2. Theoretical expectations -- 10.3. Empirical analysis -- 10.4. Existing evidence and its limitations -- 10.5. Liability pressure -- 10.6. Outlines for future research -- References -- CHAPTER 11 Hospital Economics: The Effect of Competition, Tariffs and Non-profit Status on Quality -- 11.1. Introduction -- 11.2. Does competition increase quality? A simple model -- 11.3. Empirical models of quality competition -- 11.4. A spatial approach to hospital competition -- 11.5. Hospital mergers -- 11.6. Do higher DRG tariffs increase quality? -- 11.7. Do non-profit hospitals provide higher quality? -- 11.8. Conclusion -- Acknowledgement -- References -- CHAPTER 12 Administrative Data and Health Outcome Assessment: Methodology and Application -- 12.1. The assessment of health care services -- 12.2. Ex ante assessments -- 12.3. The ex-post assessment: types and examples in the world -- 12.4. Methods to measure hospital efficiency -- 12.5. Methods to assess the relative effectiveness -- 12.6. Criticisms of the risk-adjustment methods and new proposals -- 12.7. Conclusion -- Acknowledgment -- References -- CHAPTER 13 Spatial Health Econometrics -- 13.1. Introduction -- 13.2. Spatial weights -- 13.3. Spatial models -- 13.4. Health outcomes, risk factors and health needs.

13.5. Health care expenditures and allocation of health resources -- 13.6. Hospital competition and agglomeration -- 13.7. Concluding remarks -- Acknowledgements -- References -- CHAPTER 14 Cross-country Medical Expenditure Modeling Using OECD Panel Data and ARDL Approach: Investigating GDP, Technolog... -- 14.1. Introduction -- 14.2. Literature review -- 14.2.1. Technology effects on healthcare expenditures, and -- using "patents" as a proxy -- 14.2.2. Healthcare expenditures and the panel ARDL modeling technique -- 14.3. Study methodology -- 14.4. Data and variables -- 14.5. Empirical results -- 14.5.1. Unit roots tests -- 14.5.1.1. Long- and short-run estimation of health care expenditure with panel ARDL (PMG) -- 14.5.1.2. Panel cointegration tests and FMOLS (Fully Modified OLS) estimation results -- 14.6. Summary Discussion -- 14.7. Conclusion -- Acknowledgment -- References -- Appendix -- CHAPTER 15 Large Network Inference: New Insights in Health Economics -- 15.1. Introduction -- 15.2. Gaussian graphical models -- 15.3. Graphical models and spatial econometrics -- 15.4. Estimation -- 15.4.1. Column-by-column approach -- 15.4.2. Penalized log-likelihood approach -- 15.4.2.1. Computational costs -- 15.4.3. Model selection -- 15.5. Graphical models for discrete random variables -- 15.5.1. The Ising graphical model -- 15.5.2. Graphical discrete choice models -- 15.6. Potential applications in health economics -- References -- About the Volume Editors -- Index.

This volume covers a wide range of existing and emerging topics in applied health economics, including behavioural economics, medical care risk, social insurance, discrete choice models, cost-effectiveness analysis, health and immigration, and more.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.