Monthly time-series data based on agricultural commodities tend to present strong and particular patterns of seasonality. The presence of zero values in some of the seasons is not explained by the absence of reporting but is the result of actual features of agricultural processes. Seasonal unit...

The study is an attempt to explore the impact of inflation and income inequality in Pakistan. The study also analyzes the effect of foreign direct investment, workers’ remittances and manufacturing value added on growth. Annual time series data from 1972 to 2007 was used for the analysis....

The drift-adjustment method estimates the expected rate of depreciation within an exchange rate band by simple equations. Papers applying this method claim that, while forecasting a freely floating currency is hopeless, predicting an exchange rate within the future band is successful. This paper...

The convergence hypothesis has generated a huge empirical literature: this paper critically reviews some of the earlier key findings, clarifies their implications, and relates them to more recent results. Particular attention is devoted to interpreting convergence empirics. The main findings...

This paper examines the validity of both the short-run and long-run purchasing power parity (PPP) hypotheses in Japan using two estimation methods, namely, a unit root test and an Autoregressive Distributed Lag (ARDL) cointegration test. Some important findings are obtained from our analysis....

The results of this paper complement the recent findings of real exchange rates as stationary processes. The standard procedure of applying a battery of unit root tests can be problematic since the tests are sensitive to the specifics of the time-series process. The novelty of the approach we...

This paper estimates the U.S. import demand for crude oil from Mexico. The analysis is based on time series from January 1990 to December 2010. Time series properties of the processes that generate the data are assessed in order to specify the order of integration for each series. According to...

Spurious regression phenomenon has been recognized for a wide range of Data Generating Processes: driftless unit roots, unit roots with drift, long memory, trend and broken-trend stationarity, etc. The usual framework is Ordinary Least Squares. We show that the spurious phenomenon also occurs in...

The spurious regression phenomenon in Least Squares occurs for a wide range of Data Generating Processes, such as driftless unit roots, unit roots with drift, long memory, trend and broken-trend stationarity. Indeed, spurious regressions have played a fundamental role in the building of modern...

Whilst the existence of a unit root implies that current shocks have permanent effects, in the long run, the simultaneous presence of a deterministic trend obliterates that consequence. As such, the long-run level of macroeconomic series depends upon the existence of a deterministic trend. This...