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- W2750871950 abstract "This case study focuses on the usage of mathematical tools within a broader macroeconomic application. The prime objective of the case study is to predict a short-term development of the most important macroeconomic variable, GDP, and to analyze its influence on the state’s fiscal policy. As the future GDP development prediction tools serve time series analysis methods, namely moving averages and exponential smoothing. Results are afterward being used in the macroeconomic IS–LM model to identify changes in the goods and money market, respectively. The final outcome reflects fiscal policy behavior based on changes caused by GDP development and policy recommendations for obtaining desired objectives. For the sake of the paper, all the above-stated steps are being applied for data reflecting Germany’s and Greece’s GDP, as for the best-performing and the worst-performing Eurozone economy. The results show that an established trend in growth and recession will be even more significant." @default.
- W2750871950 created "2017-09-15" @default.
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- W2750871950 date "2017-09-03" @default.
- W2750871950 modified "2023-09-27" @default.
- W2750871950 title "Math Analysis of Informational Factors Affecting State Fiscal Policy in Short-Term Development Prediction" @default.
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- W2750871950 doi "https://doi.org/10.1007/978-981-10-3358-2_2" @default.
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