Stationarity and Non-Stationarity in Immigrant Problem Discourse
This article dissects debates about the "immigrant youth" over time, using the difference between stationary and non-stationary processes as the primary analytical tool. Using Sweden as an example, we show that the Swedish debate for decades was non-stationary, basically consisting of a number of independent and largely uncorrelated debates. The stationary, firmly placing immigrant youth as an originating principle in the debates, thus basing it on essentializing principles, is seen as a recent phenomenon. The wider implications of this change, for example with respect to multicultural ambitions, are outlined.
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6. Caporale, Tony and Julia Paxton (2013), “Inflation Stationarity during Latin American Inflation: Insights from Unit Root and Structural
Mojca Šraj, Alberto Viglione, Juraj Parajka and Günter Blöschl
frequency analyses: a case study of the Litija station on the Sava River. SZGG, Ljubljana, 23–34. (In Slovenian.)
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Montanari, A., Koutsoyiannis, D
Our paper deals with the consequences of the Swiss National Bank’s decision in January 2015 related to the CHF/EUR exchange rate regarding the non-linearity of the RON/CHF, HUF/CHF, and PLN/CHF exchange rate time series. The analysis focuses on the 2014 and 2015 years, respectively, using the daily data of the three national banks. Starting out from the conventional unit root tests (ADF, PP, and KPSS), we complete our analysis with the usage of the Threshold Autoregression model (TAR) recommended by Caner and Hansen (2001), testing the non-stationarity and nonlinearity.
This paper assesses whether productivity and unemployment have a stable long-run relationship. We explore a panel of 19 OECD countries between 1970 and 2012 and rely on recently developed time series econometric methods. Our findings suggest that unemployment and productivity are non-stationary in levels and in many individual cases these series are cointegrated, even after accounting for possible structural breaks. For many individual countries the long-run effect seems to be generally positive. There is also evidence of two-way causality, but the stronger directional relationship runs from unemployment to productivity.
The inherent benefits of an accident prevention program are generally known only after an accident has occurred. The purpose of implementation of the program is to minimize the number of accidents and cost of damages. Allocation of resources to implement accident prevention program is vital because it is difficult to estimate the extent of damage caused by an accident. Accurate fatal accident predictions can provide a meaningful data that can be used to implement accident prevention program in order to minimize the cost of accidents. This paper forecast the fatal accidents of factories in India by using Auto-Regressive Integrating Moving Average Method (ARIMA) model. Accident data for the available period 1980 to 2013 was collected from the Labour bureau, Government of India to analyze the long term forecasts. Different diagnostic tests are applied in order to check the adequacy of the fitted models. The results show that ARIMA (0, 0, 1) is suitable model for prediction of fatal injuries. The number of fatal accidents is forecasted for the period 2014 to 2019. These results suggest that the policy makers and the Indian labour ministry must focus attention toward increasing fatal accidents and try to find out the reasons. It is also an opportunity for the policy makers to develop policies which may help in minimizing the number fatal accidents.
replication note on unemployment in the OECD since the 1960s: what do we know?" Empirical Economics
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