Applying Kernel and Nonparametric Estimation to Economic Topics.

Thomas B. Fomby and R. Carter Hill (Editors).

ISBN 10: 0762305819 / ISBN 13: 9780762305810

Published by JAI Press, Stamford, CT, 2000

About this Item

First Edition (2000), unstated. Very Near Fine: shows only the very slightest spine lean; the binding remains perfectly secure; the text is clean. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of any ownership names, dates, addresses, notations, inscriptions, stamps, plates, or labels. A handsome copy, structurally sound and tightly bound, showing a single, unobtrusive flaw. Bright and clean. Corners sharp. Appears Unread. Very close to 'As New'. NOT a Remainder, Book-Club, or Ex-Library. 8vo. (9.25 x 6.2 x 1.4 inches). xiv, 363 pages. Language: English. Weight: 26.4 ounces. Advances in Econometrics Series, (Book 14).

Seller Inventory # 53128

Bibliographic Details

• Title: Applying Kernel and Nonparametric Estimation to Economic Topics.
• Publisher: JAI Press, Stamford, CT
• Publication Date: 2000
• Language: English
• ISBN 10: 0762305819
• ISBN 13: 9780762305810
• Binding: Hardcover
• Edition: First Edition (2000), unstated.
• Seller catalogs:
  • Business & Economics

About this title

Synopsis

Nonparametric estimation and inference is becoming increasingly popular in economics because of the advent of extensive computing power and the development of efficient computer algorithms. Papers in this volume present techniques that permit inference that is robust to deviations from conventional parametric assumptions. The volume is divided into two sections. The first section contains papers concerned with methodology while the second section contains papers that emphasize the application of nonparametric techniques to practical problems.