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Stationarity and Non-Stationarity in Immigrant Problem Discourse

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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The Features of the Cyclical Fluctuations, Homogeneity and Stationarity of the Average Annual Flow of the Southern Buh River Basin

., Kriaučiūnienė, J., Jakimavičius, D. & Šarauskienė, D. (2011), The variability of longterm runoff series in the Baltic Sea drainage basin, Baltica, 24 (1), 45-54. Gorbachova, L. (2014), Methodical approaches the assessment of the homogeneity and stationarity of hydrological observation series, Hydrology, Hydrochemistry and Hydroecology, 5 (32), 22-31. [In Ukrainian with English summary]. Gorbachova, L. & Bauzha, T. (2011), Dynamics of average annual flow of mountain rivers (by the example of the water courses of the Zacarpatska water

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On Certain Stationarity Tests for Hydrologic Series

–130. [18] Kundzewicz Z.W., Graczyk D., Maurer T., Pińskwar I., Radziejewski M., Svensson C., Szwed M., Trend detection in river flow series: 1. Annual maximum flow , Hydrological Sciences Journal, 50(5). 2005, pp. 797–810. [19] Kundzewicz Z.W., Graczyk D., Maurer T., Przymusinska I., Radziejewski M., Svensson C., Szwed M., Detection of change in world-wide hydrological time series of maximum annual flow , Koblenz, Germany: GRDC Report 32, 2004. [20] Kurozumi E., Construction of stationarity tests with less size distortions , Hitotsubashi Journal of

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Application of SARIMA model to forecasting monthly flows in Waterval River, South Africa

. Charles Griffin & Company. ISBN 978-0852642344 pp. 218. K omorníková M.A., S zolgay J., S vetlíková D.A., S zökeová D., J určák S. 2008. A hybrid modelling framework for forecasting monthly reservoir inflows. Journal of Hydrology and Hydromechanics. Vol. 1. Iss. 3 p. 145–62. K wiatkowski D., P hillips P.C.B., S chmidt P., S hin Y. 1992. Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics. Vol. 54 p. 159–178. L jung G.M., B ox G.E.P. 1978. On a measure of a lack of fit in time series

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Is Inflation Rate of Turkey Stationary? Evidence from Unit Root Tests with and Without Structural Breaks

. Köse (2000), “Globalization, Distribution and Social Policy: Turkey, 1980-1998”, New School University SCEPA Working Paper Series I Working Papers No. 20. New York: New School University. 5. Byrne, Joseph P., Alexandros Kontonikas and Alberto Montgnoli (2010), “The Time-Series Properties of UK Inflation: Evidence from Aggregate and Disaggregate Data”, Scottish Journal of Political Economy, Vol. 57, No. 1, pp.33-47. 6. Caporale, Tony and Julia Paxton (2013), “Inflation Stationarity during Latin American Inflation: Insights from Unit Root and Structural

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The influence of non-stationarity in extreme hydrological events on flood frequency estimation

frequency analyses: a case study of the Litija station on the Sava River. SZGG, Ljubljana, 23–34. (In Slovenian.) Merz, B., Vorogushyn, S., Uhlemann, S., Delgado, J., Hundecha, Y., 2012. HESS Opinions: “More efforts and scientific rigour are needed to attribute trends in flood time series”. Hydrol. Earth Syst. Sci., 16, 1379–1387. Milly, P.C.D., Betancourt, J., Falkenmark, M., Hirsch, R.M., Kundzewicz, Z.W., Lettenmaier, D.P., Stouffer, R.J., 2008. Stationarity is dead: Whither water management. Science, 319, 573–574. Montanari, A., Koutsoyiannis, D

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Non-Linearity and Non-Stationarity of Exchange Rate Time Series in Three Central-Eastern European Countries Regarding the CHF Currency in 2014 and 2015

Abstract

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.

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Is There A Stable Long-run Relationship Between Unemployment And Productivity? / Czy Istnieje Stabilny Długookresowy Związek Między Bezrobociem A Produktywnością?

Abstract

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.

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Prediction of fatal accidents in Indian factories based on ARIMA

Abstract

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.

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Hysteresis vs. Natural Rate of Unemployment: One, the Other, or Both?

replication note on unemployment in the OECD since the 1960s: what do we know?" Empirical Economics Blanchard, O. J. and Summers, L. H. (1986) "Hysteresis and the European unemployment problem", in NBER Macroeconomics Annual. MIT Press, Cambridge, MA. Camarero, M., Carrion-i-Silvestre, J. L. and Tamarit, C. (2006), "Testing for hysteresis in unemployment in OECD countries: new evidence using stationarity panel tests with breaks", Oxford Bulletin of Economics and Statistics, 68, 167-182. Camarero

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