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Lecture Notes On International Trade Theory And Policy
Author: Richard Pomfret
language: en
Publisher: World Scientific Publishing Company
Release Date: 2008-10-08
This book provides a comprehensive review of the theory of international trade and trade policy, including coverage of recent areas of research such as heterogeneous firm trade models and trade costs. It then proceeds to analyze the history of trade policies and the evolution of the global trading system, with a primary focus on important policies or controversial issues such as the Doha Round, antidumping duties, regionalism and fair trade.It aims to emphasize the significance of different theories and how they are interconnected. Unlike other technique-driven international economics textbooks, this book focuses on readers understanding how theory and policy are connected. Written in a lecture note format and in a straightforward manner, the presentation is self-contained with no assumed mathematical knowledge.
Linear Stochastic Systems
This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notion of the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory.