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This study aims to investigate, for the first time in the literature, the stochastic properties of the US aggregate health-care price inflation rate series, using the data on health-care inflation rates for a panel of 17 major US urban areas for the period 1966-2006.

This goal is undertaken by applying the first- and second-generation panel unit root tests and the panel stationary test developed recently by Carrion-i-Silvestre et al. (2005) that allows for endogenously determined multiple structural breaks and is flexible enough to control for the presence of cross-sectional dependence.

The empirical findings indicate that after controlling for the presence of cross-sectional dependence, finite sample bias, and asymptotic normality, the US aggregate health-care price inflation rate series can be characterized as a non-stationary process and not as a regime-wise stationary innovation process.

The research findings apply to understanding of health-care sector price escalation in US urban areas. These findings have timely implications for the understanding of the data structure and, therefore, constructs of economic models of urban health-care price inflation rates. The results confirming the presence of a unit root indicating a high degree of inflationary persistence in the health sector suggests need for further studies on health-care inflation rate persistence using the alternative measures of persistence. This study’s conclusions do not apply to non-urban areas.

The mean and variance of US urban health-care inflation rate are not constant. Therefore, insurers and policy rate setters need good understanding of the interplay of the various factors driving the explosive health-care insurance rates over the large US metropolitan landscape. The study findings have implications for health-care insurance premium rate setting, health-care inflation econometric modeling and forecasting.

Payers (private and public employers) of health-care insurance rates in US urban areas should evaluate the value of benefits received in relation to the skyrocketing rise of health-care insurance premiums.

This is the first empirical research focusing on the shape of urban health-care inflation rates in the USA.

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.

State funding is being reduced for higher education institutes (HEIs) is linked to several checks such as performance-based incentives (Hagood, 2019). This forces HEIs to look for other options for funding. Endowment funds are now becoming the main source of revenue for HEIs (Sörlin, 2007), largely provided by alumni. Thus, this study aims to examine the factors that lead to donor behavior in terms of university endowment funds.

Based on a sample of 627 participants in the survey from public universities in the Kingdom of Saudi Arabia (KSA) and 625 from public/private universities of the United States of America (USA), the authors conducted a cross-sectional survey-based analysis. Hypotheses were tested with regression analysis.

The results revealed that in the USA, donors with substantial prestige within the institution are more likely to contribute to the endowment fund; however, in the KSA, this relationship was insignificant. Additionally, this study found that participation, brand interpretation and satisfaction positively impact identification with an organization, leading to donor behavior.

This research has successfully identified psychological factors for endowment funding; however, mediating or moderating variables affecting donor behavior should also be considered. Further, this study considers only two countries, the KSA and the USA; therefore, a larger cross-cultural context warrants more investigation.

Overall results revealed several means through which the administrators and practitioners may efficiently manage and increase university endowment funds flow. This study's novelty is to conduct a cross-national investigation and identify the psychological factors of donation behavior toward university endowment funds, providing an opportunity for HEIs to understand the psychological factors in detail and motivate their alumni to be one of the important sources of funding even in developing countries.

Many psychological factors underlie alumni's engagement in volunteerism and donation activities, especially in cross-national settings. Following social identity theory, this study explored identity-based donor behavior in terms of supporting universities through endowment funding.