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...

شب پره جوانه خوار بلوط Tortrix viridana, Linnaeus, 1758 (Lep. Tortricidae) یکی از آفات مهم گونه های مختلف جنس Quercus spp. می باشد. لاروهای این آفت ها و برگ درختان تغذیه نمایند باعث بی برگی کامل مورد نظر شوند. در تحقیق تفاوت ژنتیکی پروانه با استفاده مارکرهای ISSR بر اساس میزبان آن جنگل شمال غرب ایران مطالعه قرار گرفت. 19 جمعیت شامل 171 فرد که سه branti Lindl. 1840, infectoria Oliv. 1801 libani ...

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.