Recent economic history suggests that a key element in economic growth and development for many countries has been an aggressive export policy and a complementary import policy. Such policies can be very effective provided that resources are used wisely to encourage exports from industries that can be com petitive in the international arena. Also, import protection must be used carefully so that it encourages infant industries instead of providing rents to industries that are not competitive. Policy makers may use a variety of methods of analysis in planning trade policy. As computing power has grown in recent years increasing attention has been give to economic models as one of the most powerful aids to policy making. These models can be used on the one hand to help in selecting export industries to encourage and infant industries to protect and on the other hand to chart the larger effects ofttade policy on the entire economy. While many models have been developed in recent years there has not been any analysis of the strengths and weaknesses of the various types of models. Therefore, this monograph provides a review and analysis of the models which can be used to analyze dynamic comparative advantage.
The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity
In the past fifteen years a new field of research has emerged in economics: the application of control theory methods to macroeconomics and to microeconomics. The papers and books which have resulted from this research are important to the development of theoretical and applied economics. However, they are inaccessible to many with interest in economics because of the technical nature of the discussion. This book attempts to make the macro economic portion of this literature more accessible by providing a discussion of the key issues using words and figures rather than mathematical symbols. I would like to thank my mentors and colleagues in control theory and economics for their help over the years: Masanao Aoki, Michael Athans, Yaakov Bar-Shalom, Jeremy Bray, Arthur Bryson, Gregory Chow, Ray Fair, Laurie Henrikson, David Livesey, Raman Mehra, Alfred Norman, Robert Pindyck, Franklin Shupp, John Taylor, Lance Taylor, Peter Tinsley, Edison Tse, and Stephen Turnovsky.
Why do rap MCs present their studio recorded lyrics as “live and direct”? Why do they so insistently define abilities or actions, theirs or someone else’s, against a pre-existing signifier? This book examines the compositional practice of rap lyricists and offers compelling answers to these questions. Through a 40 year-span analysis of the music, it argues that whether through the privileging of chanted call-and-response phrases or through rhetorical strategies meant to assist in getting one’s listening audience open, the focus of the first rap MCs on community building and successful performer-audience cooperation has remained prevalent on rap records with lyrics and production techniques encouraging the listener to become physically and emotionally involved in recorded performances. Relating rap’s rhetorical strategy of posing inferences through intertextuality to early call-and-response routines and crowd-controlling techniques, this study emphasizes how the dynamic and collective elements from the stage performances and battles of the formative years of rap have remained relevant in the creative process behind this music. It contends that the customary use of identifiable references and similes by rap lyricists works as a fluid interchange designed to keep the listener involved in the performance. Like call-and-response in live performances, it involves a dynamic form of communication and places MCs in a position where they activate the shared knowledge of their audience, making sure that they “know what they mean,” thus transforming their mediated lyrics into a collective and engaging performance.
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