Book contents
- Frontmatter
- Contents
- Boxes
- Contributors
- Introduction and Overview
- 1 Overview of Performance Analytics for Healthcare with Examples in R
- 2 Cost-Effectiveness Analysis for Healthcare: From Theory to Practice to Problems and Solutions
- 3 Capabilities, QALYs, and COVID
- 4 The Economic Efficiency of Policies to Reduce Ill Health Involving Environmental Factors
- 5 Health in the National Accounts
- 6 Healthcare as Social Infrastructure: Productivity and the UK National Health Service During and After COVID-19
- 7 Health, Human Capital, and Its Contribution to Economic Growth
- 8 What Do We Know from the Vast Literature on Efficiency and Productivity in Healthcare? A Review and Bibliometric Analysis
- 9 Brief Overview of Production Theory for Analyzing Healthcare Performance
- 10 Modeling Production of Well-Being from an Intermediate Medical Intervention: With an Empirical Demonstration
- 11 Data Envelopment Analysis Applications and US Hospital Policy
- 12 New Tools for Evaluating the Performance of Healthcare Providers Using DEA and FDH Estimators
- 13 Stochastic Frontier Analysis for Healthcare, with Illustrations in R
- 14 A Review of US Stochastic Frontier Studies of Hospital Efficiency Published After 2008
- 15 Nonparametric Journey through Conditional Frontier Models
- 16 Measuring Health and Healthcare Efficiency: Revised Guidelines for Measurement
- 17 A Brief Introduction to Causal Inference in Healthcare
- 18 Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?
- Index
13 - Stochastic Frontier Analysis for Healthcare, with Illustrations in R
Published online by Cambridge University Press: 21 November 2024
Book contents
- Frontmatter
- Contents
- Boxes
- Contributors
- Introduction and Overview
- 1 Overview of Performance Analytics for Healthcare with Examples in R
- 2 Cost-Effectiveness Analysis for Healthcare: From Theory to Practice to Problems and Solutions
- 3 Capabilities, QALYs, and COVID
- 4 The Economic Efficiency of Policies to Reduce Ill Health Involving Environmental Factors
- 5 Health in the National Accounts
- 6 Healthcare as Social Infrastructure: Productivity and the UK National Health Service During and After COVID-19
- 7 Health, Human Capital, and Its Contribution to Economic Growth
- 8 What Do We Know from the Vast Literature on Efficiency and Productivity in Healthcare? A Review and Bibliometric Analysis
- 9 Brief Overview of Production Theory for Analyzing Healthcare Performance
- 10 Modeling Production of Well-Being from an Intermediate Medical Intervention: With an Empirical Demonstration
- 11 Data Envelopment Analysis Applications and US Hospital Policy
- 12 New Tools for Evaluating the Performance of Healthcare Providers Using DEA and FDH Estimators
- 13 Stochastic Frontier Analysis for Healthcare, with Illustrations in R
- 14 A Review of US Stochastic Frontier Studies of Hospital Efficiency Published After 2008
- 15 Nonparametric Journey through Conditional Frontier Models
- 16 Measuring Health and Healthcare Efficiency: Revised Guidelines for Measurement
- 17 A Brief Introduction to Causal Inference in Healthcare
- 18 Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?
- Index
Summary
This chapter provides a brief overview of the stochastic frontier analysis (SFA) in the context of analyzing healthcare, with a focus on hospitals, where it has received widespread attention. The authors consider many of the popular extensions and generalizations of the classic SFA model in both cross-sectional and panel data. They also briefly discuss semiparametric and nonparametric generalizations, spatial frontiers, Bayesian SFA, and the endogeneity in SFA. They illustrate some of these methods for real data on public hospitals in Queensland, Australia, as well as provide practical guidance and references for their computational implementations via R.
- Type
- Chapter
- Information
- The Cambridge Handbook of HealthcareProductivity, Efficiency, Effectiveness, pp. 404 - 444Publisher: Cambridge University PressPrint publication year: 2024