This metadata relates to an electronic version of an article published in Journal of statistical computation and simulation, 2002, vol. 72, no. 6, pp. 507-516. Journal of Statistical Computation and Simulation is available online at informaworldTM at...

Some recent time-series applications use probit models to measure the forecasting power of a set of variables. Correct inferences about the significance of the variables requires a consistent estimator of the covariance matrix of the estimated model coefficients. A potential source of...

In a factor-augmented regression, the forecast of a variable depends on a few factors estimated from a large number of predictors. But how does one determine the appropriate number of factors relevant for such a regression? Existing work has focused on criteria that can consistently estimate the...

Aggregate time series provide evidence of short term dynamic adjustment that appears to be governed by complex or negative real eigenvalues. This finding is at odds with the predictions of reasonably parameterized, convex one-sector growth models with complete markets. We study life cycle...

Autoregressions of quarterly or annual aggregate time series provide evidence of trend-reverting output growth and of short-term dynamic adjustment that appears to be governed by complex eigenvalues. This finding is at odds with the predictions of reasonably parameterized, convex one-sector...

This study examines the importance of online reviews for price determination in the hotel industry in the pre-pandemic period. The research is conducted for Croatian small open economy with a developed tourism sector. The paper fills the gap in existing literature by using multivariate principal...