|
|
|
|
| |
|
| |
|
| |
|
|
Sinha, Dipendra. |
In this study, we look at the relationship between export stability, investment and economic growth in nine Asian countries using time series data. The few previous time series studies in this area have not paid any attention to stationarity and cointegration issues. We find that in most cases, the variables are non-stationary in their levels and not cointegrated. These results raise serious doubts about the results of these studies. The results are not uniform across countries casting doubts about the validity of the numerous cross-section studies. For Japan, Malaysia, Philippines and Sri Lanka, we find a negative relationship between export instability and economic growth. For (South) Korea, Myanmar, Pakistan and Thailand, we find a positive relationship... |
Tipo: Working or Discussion Paper |
Palavras-chave: Export instability; Growth; Stationarity; Cointegration; Teaching/Communication/Extension/Profession; C22; F49; O11. |
Ano: 1999 |
URL: http://purl.umn.edu/28466 |
| |
|
| |
|
| |
|
|
Ben Ismail, Dhouha Kbaier; Lazure, Pascal; Puillat, Ingrid. |
In marine sciences, many fields display high variability over a large range of spatial and temporal scales, from seconds to thus ousands of years. The longer and longer recorded time series, with an increasing sampling frequency, in this field are often nonlinear, nonstationary, multiscale and noisy. Their analysis faces new challenges and thus requires the implementation of adequate and specific methods. The objective of this paper is to highlight time series analysis methods already applied in econometrics, signal processing, health,etc. to the environmental marine domain, assess advantages and inconvenients and compare classical techniques with more recent ones. Temperature, turbidity and salinity are important quantities for ecosystem studies. The... |
Tipo: Text |
Palavras-chave: Continuous wavelet transform; Cross-correlation; Empirical mode decomposition; Hilbert Huang Transform; Stationarity; Time dependent intrinsic correlation; Time series; Wavelets. |
Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00324/43519/43050.pdf |
| |
|
|
Ferreira,Fernanda L. V.; Rodrigues,Lineu N.; Silva,Demetrius D. da; Teixeira,David B. de S.; Almeida,Laura T. de. |
ABSTRACT Detecting trends in streamflow and rainfall series can have great significance for proper water resource management. Thus, the objective of this study was to analyze the trends of historical streamflow and rainfall series using nonparametric statistical tests. A historical series of pluviometric and fluviometric gauges, which belong to the hydrometeorological network of the Brazilian Water National Agency in the Santo Antônio River Basin, Brazil, from 1985 to 2014 were used. By applying statistical tests, it was found that the time series are independent and random, and from the total 24 rainfall gauges evaluated, 12 presented nonstationary behavior, exhibiting mostly decreasing trends. Based on the six fluviometric gauges used for the annual... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Stationarity; Run test; Mann Kendall test; Pettitt test. |
Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000100047 |
| |
|
| |
|
|
|