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1. Modelling Scale Effect in Crosssection Data:The Case of Hedonic Price Regression

Author:
Duo Qin and Yimeng Liu
Publication Date:
09-2013
Content Type:
Working Paper
Institution:
School of Oriental and African Studies - University of London
Abstract:
An innovative and simple experiment with cross-section data ordering is carried out to exploit a basic and common feature between many economic variables – nonlinear scale dependence. The experiment is tried on hedonic price regression models using two data sets, one for automobiles and the other computers. The key findings are: (a) Hedonic price indices can be significantly biased if they are constructed using models which disregard possible nonlinear scale effects latent in random data samples; (b) Scale-based data ordering offers considerable potential to filter such scale-dependent information from cross-section samples; (c) The filtering can be easily carried out by systematic adoption of dynamic modelling methods.
Topic:
Science and Technology, Economic Theory, Models, and Price Regression
Political Geography:
Global Focus

2. The Taylor Rule and Interval Forecast For Exchange Rates

Author:
Jian Wang and Jason J. Wu
Publication Date:
01-2009
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
This paper attacks the Meese-Rogoff (exchange rate disconnect) puzzle from a different perspective: out-of-sample interval forecasting. Most studies in the literature focus on point forecasts. In this paper, we apply Robust Semi-parametric (RS) interval forecasting to a group of Taylor rule models. Forecast intervals for twelve OECD exchange rates are generated and modified tests of Giacomini and White (2006) are conducted to compare the performance of Taylor rule models and the random walk. Our contribution is twofold. First, we find that in general, Taylor rule models generate tighter forecast intervals than the random walk, given that their intervals cover out-of-sample exchange rate realizations equally well. This result is more pronounced at longer horizons. Our results suggest a connection between exchange rates and economic fundamentals: economic variables contain information useful in forecasting the distributions of exchange rates. The benchmark Taylor rule model is also found to perform better than the monetary and PPP models. Second, the inference framework proposed in this paper for forecast-interval evaluation can be applied in a broader context, such as inflation forecasting, not just to the models and interval forecasting methods used in this paper.
Topic:
Economics, Exchange Rate Policy, and Models
Political Geography:
Global Focus