This is a discussion of the paper "Simple versus Optimal Rules as Guides to Policy" by Brock, Durlauf, Nason and Rondina (BDNR) presented in November 2006 at Carnegie-Mellon University under the auspices of the Carnegie-Rochester Conference Series on Public Policy. I review the authors’arguments, present a few suggestions for extension and outline where I think at least one strand of the litera...

We develop a theory of low-frequency movements in inflation expectations, and use it to interpret joint dynamics expectations for the United States other countries over postwar period. In our theory, long-run are endogenous. They driven by short-run surprises, way that depends on recent forecasting performance monetary policy. This distinguishes from common explanations properties inflation. Th...

This paper combines a data-rich environment with machine learning algorithm to provide new estimates of time-varying systematic expectational errors (“belief distortions”) embedded in survey responses. We find sizable distortions even for professional forecasters, all respondent-types overweighting the implicit judgmental component their forecasts relative what can be learned from publicly avai...

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...

هدف: سطوح بالای همیاری در جوامعی شکل می­ گیرد که آن افرادی از هنجارهای خاصی تخطی کنند، با رفتار تنبیهی دیگران مواجه شوند. هدف مطالعه حاضر تفکیک انواع واکنش افراد به پیشهادهای ناعادلانه و بررسی مولفه­ های الکتروفیزیولوژیک آنان بود. روش: 40 نفر جنسیت مذکر دانشجویان دانشگاه شهید بهشتی طریق نمونه گیری دسترس این شرکت کردند آنها اصلاح­ شده بازی ­های دیکتاتور اولتیماتوم مورد سنجش ارزیابی قرار گرفت. یا...