机读格式显示(MARC)
- 000 02014cam a2200313 i 4500
- 008 200708s2020 nju b 001 0 eng
- 040 __ |a DLC |b eng |e rda |c DLC
- 050 00 |a HB139 |b .H6356 2020
- 082 00 |a 330.01/5195 |2 23
- 100 1_ |a Hong, Yongmiao, |e author.
- 245 10 |a Foundations of modern econometrics : |b a unified approach / |c Yongmiao Hong, Cornell University, USA.
- 260 __ |a New Jersey : |b World Scientific, |c [2020]
- 300 __ |a xiv, 508 pages ; |c 23 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 520 __ |a "Modern economies are full of uncertainties and risk. Economics studies resource allocations in an uncertain market environment. As a generally applicable quantitative analytic tool for uncertain events, probability and statistics have been playing an important role in economic research. Econometrics is statistical analysis of economic and financial data. In the past four decades or so, economics has witnessed a so-called "empirical revolution" in its research paradigm, and as the main methodology in empirical studies in economics, econometrics has been playing an important role. It has become an indispensable part of training in modern economics, business and management. This book develops a coherent set of econometric theory, methods and tools for economic models. It is written as a textbook for graduate students in economics, business, management, statistics, applied mathematics, and related fields. It can also be used as a reference book on econometric theory by scholars who may be interested in both theoretical and applied econometrics"-- |c Provided by publisher.
- 504 __ |a Includes bibliographical references and index.