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This paper uses wavelet-based optimal control to simulate fiscal and monetary strategies under different levels of policy restrictions. The model applies the Maximal Overlap Discrete Wavelet Transform (MODWT) to United States quarterly GDP data, and then uses the decomposed variables to build a large 80 dimensional state-space linear-quadratic tracking model. Using a political targeting design for the frequency range weights, we simulate jointly optimal fiscal and monetary policy where: (1) both fiscal and monetary policy are dually emphasized, (2) fiscal policy is unrestricted while monetary policy is restricted to achieving a steady increase in the market interest rate, and (3) only monetary policy is relatively active, while fiscal spending is restricted to achieving a target growth rate. The results show that fiscal policy must be more aggressive when the monetary authorities are not accommodating the fiscal expansion, and that the dual-emphasis policy leads a series of interest rate increases that are balanced between a steadily increasing target and a low, fixed rate. This research is the first to construct integrated fiscal and monetary policies in an applied wavelet-based optimal control setting using U.S. data.

This paper first applies the MODWT (Maximal Overlap Discrete Wavelet Transform) to Euro Area quarterly GDP data from 1995 – 2014 to obtain the underlying cyclical structure of the GDP components. We then design optimal fiscal and monetary policy within a large state-space LQ-tracking wavelet decomposition model. Our study builds a MATLAB program that simulates optimal policy thrusts at each frequency range where: (1) both fiscal and monetary policy are emphasized, (2) only fiscal policy is relatively active, and (3) when only monetary policy is relatively active. The results show that the monetary authorities should utilize a strategy that influences the short-term market interest rate to undulate based on the cyclical wavelet decomposition in order to compute the optimal timing and levels for the aggregate interest rate adjustments. We also find that modest emphasis on active interest rate movements can alleviate much of the volatility in optimal government spending, while rendering similarly favorable levels of aggregate consumption and investment. This research is the first to construct joint fiscal and monetary policies in an applied optimal control model based on the short and long cyclical lag structures obtained from wavelet analysis.

We discuss a procedure for seasonality analyses of short time-series data with small amplitude. Such analyses are often performed in medical research. In economics, however, time series are typically long and of appreciable amplitude; therefore, economists are used to analyzing such data. Our procedure provides one more tool for the economists' data-analysis toolbox. We illustrate the procedure's application with three examples of real economics data. The examples demonstrate that the procedure can be profitably applied to short economics time series. JEL Classifications: C12, C22, C23, C49, F31

This paper evaluates the correlations between European cereal prices in up to 87 markets of 24 Member States. History and geography play a role: The highest correlations are observed between closely located internal markets of the "old" Union; prices are more correlated along transport routes, in particular rivers. We observe that 10 years after the Accession (8 in the case of Rumania and Bulgaria) we do not have a complete integration between the "old" and the "new" Member States. We advance several possible explanations: Weaker producers' organisations, lack of storage facilities, less efficient transport facilities.

According to a statement made in the BP Energy Outlook report in 2017, most of the world's liquid fuel (petroleum) is being consumed by the transportation industry. The mechanisms used to stimulate changes in the energy markets are affected by government policies that act in more ambitious ways than purely market-driven forces; different governments have promoted incentives involving electric mobility, especially in urban areas. The substitution for crude oil by renewable energy inputs in the transport sector is a major concern for oil producers. Among the different types of clean energies, lithium (Li) is currently assuming an increasingly strategic role. The goals of this paper are two-fold: First, we study the dynamics of the lithium industry and then the beta risk behavior of the 10 largest oil companies in the world for the time period between 11 February 2008 and 10 January 2019. We use an approach based on the continuous wavelet transform (CWT) method. The results indicate that there is a period of dependence between late 2013 and 2016 that occurs in the long-run frequencies of between 32 and 198 days for all cases, except for in the case of PetroChina, thereby demonstrating that the beta term is time-varying. We also find evidence that the beta term reflects and advances oil companies' responsiveness to movements in the lithium market. In the second part of the paper, we study the dynamics of the beta series by using long-run dependence approaches. The results indicate that the betas are highly persistent, with the order of integration found to be significantly above 1 in all cases.

There is a wide range of theories that try to explain interactions between politics end economy that are referred as political cycles. Majority of these theories aims at analysis of changes in economic outcomes that are related to elections or other phenomena in the political reality. To induce at least some of these changes it is necessary to alter a country's legislation which leads to emergence of political legislation cycles - changes in legislation activity over time in an electoral term. The aim of this paper is to study political legislation cycle in the legislative system of the Czech Republic. Obtained results suggest that elections timing has an impact on legislation activity. As electoral term matures and upcoming elections are getting closer an increase is observed in the legislation activity.

AbstractA simple statistical test is developed for marginal conditional stochastic dominance (MCSD). The MCSD is an extension of second‐degree stochastic dominance. As such, without specification of the return‐generating process, it can rank securities according to marginal changes of return distributions conditionally to the distribution of the market proxy, thereby proving a powerful technique for measuring portfolio performance. Although the MCSD test is asymptotic and conservative, under both the hypotheses of homoskedasticity and heteroskedasticity, it has power to detect the dominance alternative for samples with more than 300 observations. For an illustration, the MCSD test is applied to international equity markets. The test is able to show that nine of twenty‐eight equity markets are dominated by the world market.JEL classification: G11, C49

The effect of employment protection legislation (EPL) on unemployment and employment levels is still an unresolved issue in the literature. To tackle this issue is the aim of this meta-analysis. Drawing on evidence from 72 studies, I find that EPL has no statistically significant effect on the unemployment level. Based on 42 studies, I find that EPL decreases the employment level. Analysing study hetero- geneity reveals that the quality of the identification strategy matters for the results. In particular, studies that account for unobserved heterogeneity across countries or exploit variation at the country level confirm the main findings of the meta-analysis.

In the financial market of insurance, consumer protection represents an important component contributing to the stability, discipline and efficiency of the market. In this respect, the activity of educating and informing insurance consumers on ensuring and exercising their right to claim plays a leading role in the mechanism of consumer protection. This study aims to improve the decision-making capacity of the financial services consumers from the Romanian insurance market through better information on ensuring and exercising their right to claim under the legislation. Thus, by applying three data analysis techniques – principal components analysis, cluster analysis and discriminant analysis – to the data regarding the petitions that were registered by the 41 insurance companies which operated in the Romanian market in 2012, a classification that assesses the insurance market transparency is achieved, resulting in a better information for consumers and, hence, the improvement of their protection through reducing the level of transactions that are harmful to consumers.

The risk perceived by investors is crucial in the decision to invest, in particular when it concerns a foreign country. The investment risk associated is a multi-faceted element given that it reflects many aspects that are relevant to (foreign) investors, such as the level of transparency, corruption, rule of law, governance, etc. In this paper we consider the level of economic freedom, as provided by the "Heritage Foundation", for the most recent years, in order to analyse how is this measure of risk related to the inward foreign direct investment performance index, as provided by the UNCTAD. Given the subjectivity of risk an appropriate methodology consists on using fuzzy logic clustering, which is applied in the paper in order to verify how different the MENA region is from the set of EU-member states. The results show that economic freedom and inward FDI are positively associated, in particular in the cluster of countries that present a higher economic freedom. Of particular interest is the result that some MENA countries belong to the same cluster of most of the EU-countries.

While it is painfully clear that the 'ever closer' monetary and financial union in the EU has run into serious trouble there has been very little study of the degree to which the countries have become similar or different in their economic growth dynamics. This paper therefore goes beyond the traditional convergence literature to look at their dynamic convergence and explore the path of their changing similarity in the frequency domain. The results show that while a core group of countries may be developing together, there appears to be at least seven identifiable groups of countries with different growth dynamics. Greece appears to be in a class on its own. Business cycles are important but longer-term trends and higher frequency fluctuations all have a role to play in facilitating adjustment. These results provide awkward implications for policy, particularly for those who thought that simply having a union would draw countries closer together (endogenous OCA criteria).

The issue of whether the public sector enhances or retards long-run economic growth has been debated passionately in recent years. In this paper we use meta-analysis to shed light on the issue. A sample of 93 published studies, yielding 123 meta-observations, is used to examine the robustness of the evidence regarding the impact of fiscal policy on growth. We focus on five fiscal policy areas: general government consumption, tax rates, education expenditure, defence, and public infrastructure. Several meta-analytical techniques are applied, including frequency tabulation, logit analysis and rough set analysis. On balance, the evidence for a positive impact of policy on growth is rather weak, but the commonly identified importance of education and infrastructure is confirmed. The results are sensitive to several research design parameters. Cross-section studies are more likely to suggest a detrimental effect of big government on growth than studies using panel data, but they are unlikely to be able to correctly identify the growth impact of infrastructure. The probability that a study detects a significantly positive effect of public infrastructure on growth is the greater, the longer the time span of data used in the econometric analysis.

This contribution proposes a simulation approach for the indirect estimation of age-specific fertility rates (ASFRs) and the total fertility rate (TFR) for Germany via time series modeling of the principal components of the ASFRs. The model accounts for cross-correlation and autocorrelation among the ASFR time series. The effects of certain measures are also quantified through the introduction of policy variables. Our approach is applicable to probabilistic sensitivity analyses investigating the potential outcome of political intervention. A slight increase in the TFR is probable until 2040. In the median scenario, the TFR will increase from 1.6 in 2016 to 1.68 in 2040 and will be between 1.46 and 1.92 with a probability of 75%. Based on this result, it is unlikely that the fertility level will fall back to its extremely low levels of the mid-1990s. Two simple alternate scenarios are used to illustrate the estimated ceteris paribus effect of changes in our policy variables on the TFR.