The Great East Japan Earthquake that occurred on March 11, 2011 caused disruptions to transportation network such as roads and railways. In general, transportation network disruptions make distribution of relief goods difficult and are considered to have negative impact on the economy of the stricken region owing to a decrease in transportation accessibility. Focusing on Iwate Prefecture, which...

Time series modeling and analysis is central to most financial and econometric data modeling. With increased globalization in trade, commerce and finance, national variables like gross domestic productivity (GDP) and unemployment rate, market variables like indices and stock prices and global variables like commodity prices are more tightly coupled than ever before. This translates to the use o...

This paper is an empirical study on Harry Markowitz’s work on Modern Portfolio Theory (MPT). The model assumes the normality of assets’ return. The paper examined the Zimbabwe Stock Exchange by mathematical and statistical methods for normality of assets’ returns. We studied the effect of the parameters, Skewness and Kurtosis for different time series data. We tried to figure it out which data ...

sulfur dioxide has two important sources in the atmosphere and this is why most of scientists believe in a geographic split in the globe. power plants, major emitter of so2, are located in north hemisphere such as in russia, china, canada and the usa. in south hemisphere, phytoplankton produces a massive amount of dimethyl sulfide (dms) and dimethyl disulfide (dmds). then these types of reduced...

An econometric model for the U. S. lodging market was developed from time series data. Estimates from this model were then combined with preliminary sales estimates. The resulting combination greatly improved the estimates of the "final sales" figures and also reduced the error in two forecasting tests. These improvements were achieved at a low cost.

In this study, we address an econometric issue which has so far been neglected by the empirical studies on separation principle. The earlier studies largely applied Granger causality test by differencing the data if they are integrated time series. Such approach produces specification bias if integrated variables in level are cointegrated and thus, ignoring the long run dynamics among the varia...

The book is addressed to both professional economists who be­ lieve in econometrics and graduate students with a taste for time series analysis. It discusses important features of the increasingly popular method of cointegration analysis and non-stationary time series blending the theoretical discussion with detailed implementa­ tions which appear quite helpful to practitioners. Common question...