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The search for more effective policies, choice of optimal implementation strategies for achieving defined policy targets (e.g., cost-containment, improved access, and quality healthcare outcomes), and selection among the metrics relevant for assessing health system policy change performance simultaneously pose continuing healthcare sector challenges for many countries of the world. Meanwhile, research on the core drivers of healthcare costs across the health systems of the many countries continues to gain increased momentum as these countries learn among themselves. Consequently, cross-country comparison studies largely focus their interests on the relationship among health expenditures (HCE), GDP, aging demographics, and technology. Using more recent 1980–2014 annual data panel on 34 OECD countries and the panel ARDL (Autoregressive Distributed Lag) framework, this study investigates the long- and short-run relationships among aggregate healthcare expenditure, income (GDP per capita or per capita GDP^_HCE), age dependency ratio, and “international co-operation patents” (for capturing the technology effects). Results from the panel ARDL approach and Granger causality tests suggest a long-run relationship among healthcare expenditure and the three major determinants. Findings from the Westerlund test with bootstrapping further corroborate the existence of a long-run relationship among healthcare expenditure and the three core determinants. Interestingly, GDP less health expenditure (GDP^_HCE) is the only short-run driver of HCE. The income elasticity estimates, falling in the 1.16–1.46 range, suggest that the behavior of aggregate healthcare in the 34 OECD countries tends toward those for luxury goods. Finally, through cross-country technology spillover effects, these OECD countries benefit significantly from international investments through technology cooperations resulting in jointly owned patents.

This chapter provides an assessment of the sustainability of Ireland's health care system. It starts by describing the historical development of the Irish system and identifying key features of the current system that raise potential challenges for sustainability. It then provides an analysis of recently compiled and up-to-date data on trends in health care expenditures. A number of specific demand and supply side challenges to sustainability are then described and discussed. This is followed by an examination of recent and current reforms to the health care system, focussing on their likely impact on sustainability, as well as a discussion of how health economics has and can inform policy, practice and debate. We also discuss the potential implications of the COVID-19 pandemic for the Irish system.

Little is known about perceptions of medical expenditure risks despite their presumed relevance to the demand for health insurance. This is the first study to examine households’ beliefs about their future spending on health care. The study made a unique elicitation of subjective probabilities of medical expenditures from rural Ethiopians participating in a panel survey and offered the opportunity to enrol in a health insurance programme. The vast majority of respondents give logically consistent responses to the subjective probability questions. The data indicate that the cross-sectional variance of realized expenditures, which is often used to proxy risk exposure, greatly overestimate the risk faced by any single household. Consistent with the serial correlation observed in realized expenditures, expectations are positively correlated with past expenses. They are revised upward in response to an increase in realized expenditure and, to some extent, they predict expenditure incurred in the year ahead. Despite containing information on future medical expenditures, there is no evidence that expectations influence the decision to take out health insurance, although plans to insure are positively related to the perceived volatility of expenses.

These results suggest that adverse selection may not threaten the viability of voluntary health insurance. A caveat is that measurement error in the reported probabilities may weaken the test for adverse selection. Notwithstanding this limitation, measurement of household-specific distributions of future medical expenses is feasible and avoids relying on the cross-sectional variance, which provides an upwardly biased estimate of medical expenditure risk.

Purpose: We estimate national health expenditures on prevention using precise definitions, a transparent methodology, and a subdivision of the estimates into components to aid researchers in applying their own concepts of prevention activities.

Methodology/Approach: We supplemented the National Health Expenditure Accounts (NHEA) with additional data to identify national spending on primary and secondary prevention for each year from 1996 to 2004 across eight spending categories.

Findings: We estimate that NHEA expenditures devoted to prevention grew from $83.2 billion in 1996 to $159.8 billion in 2004, in current dollars. As a share of NHEA, this represents an increase from 7.8 percent in 1996 to 8.6 percent in 2004. This share peaked at 9 percent in 2002 and then declined due to reductions in public health spending as a percent of NHEA between 2002 and 2004. Primary prevention represents about half the expenditures, consisting largely of public health expenditures – the largest prevention element.

Originality/Value of Paper: Our 2004 estimate that 8.6 percent of NHEA goes to prevention is nearly three times as large as the commonly cited figure of 3 percent, but depends on the definitions used: our estimate falls to 8.1 percent when the research component is excluded, 5.1 percent when consideration is limited to primary prevention plus screening, 4.2 percent for primary prevention alone, and 2.8 percent if we count only public health expenditures. These findings should contribute to a more informed discussion of our nation's allocation of health care resources to prevention.

This chapter attempts to study the long-term determinants of public and private healthcare expenditure in Hong Kong, by employing time series data over the period from 1990 to 2017. We find that income is not a determinant of either public or private spending per capita on healthcare services. Rather, a higher proportion of elderly will raise public expenditure on health and private spending even more. The share of children within the population will conversely decrease both public and private spending. Results also show that the rising density of doctors decreases both public and private per capita healthcare spending, showing that the supplier-induced demand problem is not an issue in Hong Kong.

This chapter sheds light on long-term trends in the level and structural dynamics of investments in Russian human capital formation from government, corporations, and households. It contributes to the literature discussing theoretical issues and empirical patterns of modernization, human development, as well as the transition from a centralized to a market economy. The empirical evidence is based on extensive utilization of the dataset introduced in Didenko, Földvári, and Van Leeuwen (2013). Our findings provide support for the view expressed in Gerschenkron (1962) that in late industrializers the government tended to substitute for the lack of capital and infrastructure by direct interventions. At least from the late nineteenth century the central government's and local authorities' budgets played the primary role. However, the role of nongovernment sources increased significantly since the mid-1950s, i.e., after the crucial breakthrough to an industrial society had been made. During the transition to a market economy in the 1990s and 2000s the level of government contributions decreased somewhat in education, and more significantly in research and development, but its share in overall financing expanded. In education corporate funds were largely replaced by those from households. In health care, Russia is characterized by an increasing share of out-of-pocket payments of households and slow development of organized forms of nonstate financing. These trends reinforce obstacles to Russia's future transition, as regards institutional change toward a more significant and sound role of the corporate sector in such branches as R&D, health care, and, to a lesser extent, education.

Purpose – To examine the effects of health insurance types on the use of prescribed medication that treat patients with hypertension, diabetes, and asthma. The study distinguishes between individuals with private health maintenance organization (HMO) plans and private non-HMO plans. The study also distinguishes between people with health insurance and drug coverage and people with health insurance and no drug coverage.

Methods – Joint discrete factor models are estimated to control for endogeneity of each type of coverage.

Findings – The main findings suggest that the effect of health insurance varies across patients with different conditions. The strongest and most significant effect is evident among patients with hypertension while the weakest and least significant is among patients with asthma. These findings suggest that patients with asymptomatic conditions are more likely to exhibit moral hazard than patients with conditions that impose immediate impairment. Additional results suggest that, relative to the uninsured and people with health insurance but no drug coverage, patients with drug coverage are more likely to initiate drug therapy and to consume more medications.

Originality – The results of the study indicate that moral hazard of drug utilization is condition specific. The variation in “silence” of conditions’ symptoms could be a key reason for difference in insurance effects among patients with hypertension, diabetes, and asthma.

Objective – This chapter assesses the extent to which previous economic and financial crises had a negative impact on health outcomes and health financing. In addition, we review evidence related to the effectiveness of different policy measures undertaken in past crises to protect access to health services, especially for the poor and vulnerable. The current global crisis is unique both in terms of its scale and origins. Unlike most previous instances, the current crisis has its origins in developed countries, initially the United States, before it spread to middle- and lower-income countries. The current crisis is now affecting almost all countries at all levels of income. This chapter addresses several key questions aimed at helping inform possible policy responses to the current crisis from the perspective of the health sector: What is the nature of the current crisis and in what ways does it differ from previous experiences? What are some of the key lessons from previous crises? How have governments responded previously to protect health from such macroeconomic shocks? How can we improve the likelihood of positive action today?

Methodology/approach – The chapter reviews the literature on the impact of financial crises on health outcomes and health expenditures and on the effectiveness of past policy efforts to protect human development during periods of economic downturn. It also presents analysis of household surveys and health expenditure data to track health seeking behavior and out-of-pocket expenditures by households during times of financial crisis.

Findings – Evidence from previous crises indicates that health-related impacts during economic downturns can occur through various channels. The impact in households experiencing reductions in employment and income could be manifest in terms of poorer nutritional outcomes and lower levels of utilization of health care when needed. Households may become impoverished, reduce needed health services, and experience reductions in consumption as a result of health shocks occurring during a time when their economic vulnerability has increased. Women, children, the poor, and informal sector workers are likely to be most at risk of experiencing negative health-related consequences in a crisis. Real government spending per capita on health care could decline due to reduced revenues, currency devaluations, and potential reductions in external aid flows. Low-income countries with weak fiscal positions are likely to be the most vulnerable.

Implications for policy – Past crises can inform policy-making aimed at protecting health outcomes and reducing financial risk from health shocks. Evidence from previous crises indicates that broad-brush strategies that maintained overall levels of government health spending tended not to be successful, failing to protect access to quality health services especially for the poor. It is particularly vital to ensure access to essential health commodities, which in many low-income countries are imported, in the face of weakening exchange rates. Focused efforts to sustain the supply of lower-level basic services, combined with targeted demand-side approaches like conditional cash transfers may be more effective than broader sectoral approaches. Low-income countries may need specific short-term measures to ensure that health outcomes do not suffer.

The idea of relating health, education and other social sector variables with growth and development, or trying to find any convergence among similar countries with respect to such macroeconomic indicators is the basic idea of this chapter, which explores the concept of enhancing welfare through a subjective route, specifically by way of expenditure in health care. By way of testing σ- and β-convergence of current healthcare expenditure per capita of the BRICS countries for the period 2006–2018, it has been found that these countries catch up with significant convergence. It has also been obtained through panel data analysis that such convergence is significantly explained by gross domestic product (GDP) per capita, life expectancy at birth, elderly ratio, CO₂ emissions and prevalence of undernourishment, all of which are in accordance with conventional hypotheses. This chapter claims that, by way of convergence, the BRICS nations may emerge as a new economic power, and expenditure on health care is one of the major areas, among other social sector variables that will play an important role.