Article

Characteristics of the information content in business sentiment surveys

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Abstract
Purpose – The purpose of this manuscript is to quantify exactly how much information and/or predictive content is contained in business sentiment surveys. Design/methodology/approach – This paper uses techniques drawn from information theory econometrics, and more specifically the theory of information entropy, to characterize the predictive content of business sentiment surveys. The authors apply these techniques to publicly available information obtained from various editions of the Federal Reserve Bank of New York’s Empire State Manufacturing Survey, one of the most popular business sentiment surveys conducted in the USA. Parametric and non-parametric statistical analyses are used to examine differences in the quantity of predictive content across various questions in the survey.

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Ketersediaan

Informasi Detail

Judul Seri

Characteristics of the information content in business sentiment surveys

No. Panggil

ATC PO DAN a

Penerbit

USA : Emerald Insight., 2013

Deskripsi Fisik

20 halaman

Bahasa

English

ISBN/ISSN

-

Klasifikasi

ATC

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

American Journal of Business

Subjek

logistic Management
Strategic Management
Management Communication

Info Detail Spesifik

20 halaman

Pernyataan Tanggungjawab

Daniel Friesner

Versi lain/terkait

Lampiran Berkas

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