Improving GDP Measurement: A Forecast Combination Perspective

Improving tree survival prediction with forecast combination and disaggregation

The tree mortality model plays an important role in simulating stand dynamic processes. Past work has shown that the disaggregation method was successful in improving tree survival prediction. This method was used in this study to forecast tree survival probability of Chinese pine (Pinus tabulaeformis Carrière) in Beijing. Outputs from the tree survival model were adjusted from either the stand...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Density Forecast Combination

In this paper we investigate whether and how far density forecasts sensibly can be combined to produce a “better” pooled density forecast. In so doing we bring together two important but hitherto largely unrelated areas of the forecasting literature in economics, density forecasting and forecast combination. We provide simple Bayesian methods of pooling information across alternative density fo...

Forecast Evaluation and Combination

GDP Revisions: Measurement and Implications

Gauging economic conditions in real time is challenging, in part because economic data are difficult to measure and subject to subsequent revision as more information becomes available. This article investigates the pattern and size of revisions to real gross domestic product (GDP) over the past decade or so. Revisions to early estimates of GDP can be large and, over the past 15 years, have ten...