JEL classification: C51 C52 G11

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

The standard linear technique of impulse response function analysis is extended to the nonlinear case by de"ning a generalized impulse response function. Measures of persistence and asymmetry in response are constructed for a wide class of time series. ( 2000 Elsevier Science B.V. All rights reserved. JEL classixcation: C22; C51; C52; E32

We propose an encompassing test for non-nested linear quantile regression models and show that it has an asymptotic χ2 distribution. It is also shown that the proposed test is a regression rank score test in a comprehensive model under conditional homogeneity. Our simulation results indicate that the proposed test performs very well in finite samples. JEL classification: C12, C52

In this note we discuss the paper on exchange rate forecasting by Molodtsova and Papell (2012). In particular we discuss issues related to forecast origins and forecast horizons when higher frequency exchange rate movements are predicted using lower frequency quarterly macroaggregates. JEL Nos.: C53, C12, C52

In this note we consider the treatment of structural breaks in VAR models used to test for unit roots and cointegration. We give practical guidelines for the inclusion and the specification of intervention dummies in those models. JEL Classification Code: C32, C52, E43.

The article offers a strategy for increasing the Russian economy through rational use of country's natural resources. As tools, it is offered to apply functional approach determine critical functions system in order generate additional income improve economy. A scheme influencing control using negative feedback method quality offered. New criteria are proposed assessing work governors and minis...

This paper reviews the analysis of the threshold autoregressive, smooth threshold autoregressive, and Markov switching autoregressive models from the Bayesian perspective. For each model we start by describing a baseline model and discussing possible extensions and applications. Then we review the choice of prior, inference, tests against the linear hypothesis, and conclude with models selectio...

Recent evaluations of the impact of Turkish healthcare reforms on the efficiency of public hospitals suffer from simultaneous structural changes in the healthcare sector as well as from lack of data on some of the key ingredients of the reform. In this note, we analyze the major obstacles in a fair evaluation of the efficiency of public hospitals taking Sulku(2011)’s data envelopment analysis a...