Health care expenditure has increased substantially in all Western industrialized countries in the last decades. The necessity to contain the increase in health care expenditure has motivated the analysis of its determinants to explain differences across countries and health systems. However, recent studies have questioned the use of cross section data arguing that health systems are too different to allow for such comparisons. In this paper we investigate whether this criticism is really justified. We analyze the variations of health care expenditure in OECD countries relative to income, population aging and technological change. Our analysis is based on pooled cross section data and time series. Firstly, formulating error correction models for individual countries we demonstrate that in almost all cases the investigated variables are cointegrated. Secondly, we use a bootstrap framework for inference and examine whether the influence of explanatory variables is unique across countries. Applying recursive estimation procedures we find evidence for cross country homogeneity during the period 1961-1979. In the last two decades health care dynamics become more and more country specific thus indicating divergence of health systems and the growing importance of country-specific effects in the explanation of differences in health care expenditure.
In this article, we examined if partisan ideology and electoral motives influence public healthcare expenditure (HCE) in countries of the Organization for Economic Cooperation and Development. We distinguished between the effects on the growth of the expenditures and its adjustment to violations of a long-run equilibrium linking HCE with macroeconomic and demographic trends. Regarding the influence of partisan ideology, we found that if governments are sufficiently long in power, right-wing governments spend less on public health than their left-wing counterparts. Furthermore, if a right-wing party governs without coalition partners, it responds more strongly to deviations from the long-run HCE equilibrium than left-wing governments. With regard to electoral motives, we found that health expenditure increases in years of elections. Independent of their partisan ideology, single-party (minority) governments induce higher (lower) growth of public HCE. Each of these political factors by its own may increase (decrease) HCE growth by approximately one percentage point. Given an average annual growth of HCE of approximately 4.1%, political factors turn out to be important determinants of trends in public HCE.
This article provides a theoretical and empirical analysis of a …rm's optimal R&D strategy choice. In this paper a …rm's R&D strategy is assumed to be endogenous and allowed to depend on both internal …rms' characteristics and external factors. Firms choose between two strategies, either they engage in R&D or abstain from own R&D and imitate the outcomes of innovators. In the theoretical model this yields three types of equilibria in which either all …rms innovate, some …rms innovate and others imitate, or no …rm innovates. Firms'equilibrium strategies crucially depend on external factors. We …nd that the e¢ ciency of intellectual property rights protection positively a¤ects …rms'incentives to engage in R&D, while competitive pressure has a negative e¤ect. In addition, smaller …rms are found to be more likely to become imitators when the product is homogeneous and the level of spillovers is high. These results are supported by empirical evidence for German …rms from manufacturing and services sectors.Regarding social welfare our results indicate that strengthening intellectual property protection can have an ambiguous e¤ect. In markets characterized by a high rate of innovation a reduction of intellectual property rights protection can discourage innovative performance substantially. However, a reduction of patent protection can also increase social welfare because it may induce imitation. This indicates that policy issues such as the optimal length and breadth of patent protection cannot be resolved without taking into account speci…c market and …rm characteristics.Journal of Economic Literature Classi…cation Numbers: C35, D43, L13, L22, O31.
Recent cross-country studies have questioned the existence of a systematic relationship between per capita health-care expenditure (HCE) and explanatory variables such as income, population ageing and total public expenditure. We reexamine this issue mainly focussing at a flexible semiparametric estimation method that allows the parameters of the model to depend on a state variable. Using the age structure of the population as the state variable, we find that the income elasticity increases with population ageing, while other explanatory variables are not significantly influenced by it. Additionally we find that the HCE relationship becomes more and more unstable in ageing economies. These results explain the difficulty to identify both the influence of population ageing and income on HCE in previous studies. Furthermore they indicate that international convergence of HCE across countries crucially depends on the convergence of the population age structure. We also discuss the policy implications of our results regarding the design of a fair health-care financing system and the evolution of HCE to avoid budgetary problems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.