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The explosion of available data has created much excitement among marketing practitioners about their ability to better understand the impact of marketing investments. Big data allows for detecting patterns and often it seems plausible to interpret them as causal. While it is quite obvious that storks do not bring babies, marketing relationships are usually less clear. Apparent “causalities” often fail to hold up under examination. If marketers want to be sure not to walk into a causality trap, they need to conduct field experiments to detect true causal relationships. In the present digital environment, experiments are easier than ever to execute. However, they need to be prepared and interpreted with great care in order to deliver meaningful and genuinely causal results that help improve marketing decisions.
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In the paper we aim to study the European health systems by analysing the relationship between the outcome and the input of health systems. The indicator that measures the output is healthy life expectancy at birth and at 65 years of age for the female and male population. The input consists in the health expenses by type of health services and medical goods provided.
We observe a sample of 21 European countries, including Romania, on health indicators, such as healthy life years and health expenses, available from Eurostat database. We applied both correlation and regression methods in order to study the variation of healthy life expectancy according to health expenses.
The results of the study point out high variations of healthy life expectancy per country. One of the factors that explain these differences is the varying volume of resources allocated in order to fund health services.
This paper examines the evolution of effective exchange rates in nine Central and Eastern European countries in terms of development trends, volatility and cyclicality. Consequently, it provides direct empirical evidence on the nature of the relationship between effective exchange rates and selected macroeconomic fundamentals, addressing a key precondition of numerous exchange rate determination models and theories that attempt to explain the role of exchange rates in the economy. The results suggest that flexible exchange rate arrangements are reflected in both nominal and real effective exchange rates having higher volatility and variability. Furthermore, the results provide mixed evidence in terms of intensity, direction and cyclicality, but show a weak correlation between exchange rates and fundamentals. Sufficiently high coefficients are found only for money supply. Consequently, using fundamentals for the determination of exchange rates and using the exchange rate to explain economic development may be of limited use for the countries analyzed.
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