We use the information content in the decisions of the NBER Business cycle Dating Committee to construct coincident and leading indices of economic activity for United States. Specifically, we use canonical correlation analysis to filter out the noisy information contained in the coincident...

This paper studies the relationship between international trade and output fluctuations. The authors find evidence that the business cycles of countries that are more open to international trade are more likely to by synchronized with the business cycles of their major trading partners. A...

The vector innovation structural time series framework is proposed as a way of modelling a set of related time series. Like all multi-series approaches, the aim is to exploit potential inter-series dependencies to improve the fit and forecasts. A key feature of the framework is that the series...

This paper examines real exchange rate responses to shocks in exchange rate determinants and monetary policy for eight Asian developing countries. The analysis is based on a panel pseudo-Bayesian structural vector error correction model, and the shocks are identified using sign and zero...

Coal is the primary source of energy and predominantly used for electricity generation in India. For an emerging economy like India, the demand-supply gap is widening in Coal sector with economic growth. Considering both sides of market, we establish long run dynamics between economic growth,...

While there is good reason to expect crude oil production to be non-linear, previous studies that have examined the stochastic properties of crude oil production have assumed that crude oil production follows a linear process. If crude oil production is a non-linear process, conventional unit...

This study examines the causal relationship between carbon dioxide emissions, electricity consumption and economic growth within a panel vector error correction model for five ASEAN countries over the period 1980 to 2006. The long-run estimates indicate that there is a statistically significant...

We show the importance of endogenous oil prices and production in the real business cycle framework. Endogenising these variables improves the model's predictions of business cycle statistics, oil related and non-oil related, relative to a situation where either is exogenous. This result is...

Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility rates. As detailed migration data are...

The global linear trend with autocorrelated disturbances is a surprising omission from the M1 competition. This approach to forecasting is therefore evaluated using the 51 non-seasonal series from the competition. It is contrasted with a fully optimized version of Holts trend corrected...