• • • • • • • A list of topics by session is given in the below. Course Meeting Times Lectures: 2 sessions / week, 1.5 hours / session Recitations: 1 session / week, 1.5 hours / session Description This course focuses on dynamic optimization methods, both in discrete and in continuous time. We approach these problems from a dynamic programming and optimal control perspective.
We also study the dynamic systems that come from the solutions to these problems. The course will illustrate how these techniques are useful in various applications, drawing on many economic examples. However, the focus will remain on gaining a general command of the tools so that they can be applied later in other classes. Prerequisites The prerequisites for this course are 14.06 Advanced Macroeconomics or permission of the instructor. Rainbow 7 Morning Musume Rar Files.
Textbooks Required Stokey, Nancy L., and Robert E. Lucas, Jr., with Edward C. E Prime Serial Number Crack Idm. Recursive Methods in Economic Dynamics. Cambridge, MA: Harvard University Press, 1989. Acemoglu, Daron.. Princeton, NJ: Princeton University Press, 2008. Recommended Chiang, Alpha C.
Elements of Dynamic Optimization. Long Grove, IL: Waveland Press, 1999. Luenberger, David. Optimization by Vector Space Methods. New York, NY: Wiley-Interscience, 1997. First published in 1969 by John Wiley and Sons, Inc. Kamien, Morton I., and Nancy L.
Elements of dynamic optimization chiang pdf download Elements of Dynamic Optimization, Alpha Chiang, McGraw Hill.can be derived under three additional assumptions following Chiang 1994s. Chapter 1: Essential Elements of Continuous Time Dynamic Optimization 2 function with respect to a column vector is a row vector. As an extension of this notation, if we. Dynamical systems Resource Economics: Dynamic optimization Anton Bondarev Department of Economics, Basel University 7.10.2014.
Dynamic Optimization: The Calculus of Variations and Optimal Control in Economics and Management. San Diego, CA: Elsevier, 1991. Course Requirements There will be several problem sets and a final exam. The problem sets will cover numerical methods related to lecture material.
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