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This paper examines the influence of selected indicators of the banking sector (M3 monetary aggregates and bank loans provided to the non-financial private sector) on economic growth (GDP) in the Eurozone, the USA and Japan. Cointegration of these selected indicators of the banking sector has been demonstrated in relation to the development of GDP using the Engle - Granger cointegration test. These tests were applied to selected statistical data from the years 2000 to 2015. The first was to determine the optimum delay using Akaike criteria for all-time series analysed. Then the presence of a unit root was analysed using the Dickey - Fuller test. Based on the test results, time series were excluded which appear to be stationary. If the conditions were met, testing then continued with the Engle - Granger test to detect cointegration relations, which would determine a relationship between selected variables. Based on these tests, it was found that at a significance level of 0.05, no cointegration relationship exists between any of the time series in the countries surveyed. [ABSTRACT FROM AUTHOR]

The Genuine Progress Indicator (GPI) was designed to reveal the economic, social, and environmental trade-offs associated with conventional economic growth as traditionally measured by Gross Domestic Product (GDP). Although originally designed for use at the national scale, an interest has developed in the United States in a state-level uptake of the GPI to inform and guide policy. This study presents the first fifty-state estimate for U.S. GPI in order to address questions over its design, implementation, and ultimate potential as a tool to guide state-level economic policy. Following a review of the current state of analysis and critique of GPI, we provide an overview of methodology and database development. Results are then presented, including discussion of lessons learned through a fifty-state application. The paper concludes with suggestions for further research and next steps to consolidating a consistent methodology. [ABSTRACT FROM AUTHOR]

We examine the relationship between offshoring and the labor market in an occupational choice model of trade and endogenous growth where workers are employed on the basis of their individual skill levels. Trade liberalization leads to offshoring and reduces employment in the manufacturing sector. Displaced workers move into traditional and innovation sectors according to their skill levels, shaping real wages and aggregate productivity in the manufacturing sector. The paper aims to show how inter-sectoral labor market adjustments, highlighted by skill heterogeneity, could be a possible explanation for the simultaneous rise in productivity and reduction in real wages that have coincided with the sharp escalation of offshoring activities in the U.S. manufacturing sector since 2004. ( JEL F16, F23, J24) [ABSTRACT FROM AUTHOR]

This paper presents evidence of a non-linear relationship between real GDP growth and oil price changes for the US economy. We also argue that this non-linearity is not merely due to the use of data from the mid-1980s onwards, as most authors, so far, seem to believe. In fact, we find the existence of non-linearity with the use of data earlier than 1984, and even before 1977. Furthermore, we question that the non-linear transformations of oil prices proposed in the literature are the most appropriate ones for reflecting such non-linearity. [ABSTRACT FROM AUTHOR]