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This book offers an introductory step-by-step course in Dynamic Stochastic General Equilibrium (DSGE) modelling. Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation of DSGE models. The book is intended for graduate students as an introductory course to DSGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic macroeconomic modelling. The book starts with the simplest canonical neoclassical DSGE model and then gradually extends the basic framework incorporating a var

Macroeconomics. --- Equilibrium (Economics) --- Disequilibrium (Economics) --- Economic equilibrium --- General equilibrium (Economics) --- Partial equilibrium (Economics) --- Economics --- DGE (Economics) --- DSGE (Economics) --- Dynamic stochastic general equilibrium (Economics) --- SDGE (Economic theory) --- Statics and dynamics (Social sciences) --- Macroeconomics --- E-books --- Equilibrium (Economics) - Mathematical models --- Macroeconomics - Mathematical models

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Energy policy --- Equilibrium (Economics) --- Política energética --- Equilibrio (Economía) --- Case studies. --- Mathematical models --- Aspectos económicos --- Modelos econométricos. --- Modelos matemáticos. --- Mexico --- México --- Social policy --- Política social --- Aspectos económicos. --- DGE (Economics) --- Disequilibrium (Economics) --- DSGE (Economics) --- Dynamic stochastic general equilibrium (Economics) --- Economic equilibrium --- General equilibrium (Economics) --- Partial equilibrium (Economics) --- SDGE (Economic theory) --- Economics --- Statics and dynamics (Social sciences) --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Government policy --- Anáhuac --- Estados Unidos Mexicanos --- Maxico --- Méjico --- Mekishiko --- Meḳsiḳe --- Meksiko --- Meksyk --- Messico --- Mexique (Country) --- República Mexicana --- Stany Zjednoczone Meksyku --- United Mexican States --- United States of Mexico --- מקסיקו --- メキシコ

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The authors present a new formal framework for finding the long-run competitive market equilibrium through short-run equilibria by exploiting the operating policies and plant valuations. This “short-run approach” develops ideas of Boiteux and Koopmans. Applied to the peak-load pricing of electricity generated by thermal, hydro and pumped-storage plants, it gives a sound and practical method of valuing the fixed assets—in this case, the river flows and the geological sites suitable for reservoirs. Its main mathematical basis is the producer’s short-run profit maximization programme and its dual; their solutions have relatively simple forms that can greatly ease the fixed-point problem of solving for the general equilibrium. Since the optimal values (profit and cost functions) are usually nondifferentiable—this is so when there are joint costs of production such as capacity constraints—nonsmooth calculus is employed to resolve long-standing discrepancies between textbook theory and industrial reality by giving subdifferential extensions of basic results of microeconomics, including the Wong-Viner Envelope Theorem.

Energy policy. --- Energy and state. --- Energy storage. --- Mathematical optimization. --- Energy industries. --- Economic theory. --- Microeconomics. --- Economics. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Energy Policy, Economics and Management. --- Continuous Optimization. --- Energy Storage. --- Energy Economics. --- Equilibrium (Economics) --- Pricing. --- Price policy --- Price policy, Industrial --- Retail pricing --- Marketing --- DGE (Economics) --- Disequilibrium (Economics) --- DSGE (Economics) --- Dynamic stochastic general equilibrium (Economics) --- Economic equilibrium --- General equilibrium (Economics) --- Partial equilibrium (Economics) --- SDGE (Economic theory) --- Economics --- Statics and dynamics (Social sciences) --- Price theory --- Economic theory --- Political economy --- Social sciences --- Economic man --- Storage of energy --- Force and energy --- Power (Mechanics) --- Flywheels --- Pulsed power systems --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Government policy

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The description for this book, Linear Inequalities and Related Systems. (AM-38), Volume 38, will be forthcoming.

Operational research. Game theory --- Linear programming. --- Matrices. --- Game theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Production scheduling --- Programming (Mathematics) --- Banach space. --- Basic solution (linear programming). --- Big O notation. --- Bilinear form. --- Boundary (topology). --- Brouwer fixed-point theorem. --- Characterization (mathematics). --- Coefficient. --- Combination. --- Computation. --- Computational problem. --- Convex combination. --- Convex cone. --- Convex hull. --- Convex set. --- Corollary. --- Correlation and dependence. --- Cramer's rule. --- Cyclic permutation. --- Dedekind cut. --- Degeneracy (mathematics). --- Determinant. --- Diagram (category theory). --- Dilworth's theorem. --- Dimension (vector space). --- Directional derivative. --- Disjoint sets. --- Doubly stochastic matrix. --- Dual space. --- Duality (mathematics). --- Duality (optimization). --- Eigenvalues and eigenvectors. --- Elementary proof. --- Equation solving. --- Equation. --- Equivalence class. --- Euclidean space. --- Existence theorem. --- Existential quantification. --- Extreme point. --- Fixed-point theorem. --- Functional analysis. --- Fundamental theorem. --- General equilibrium theory. --- Hall's theorem. --- Hilbert space. --- Incidence matrix. --- Inequality (mathematics). --- Infimum and supremum. --- Invertible matrix. --- Kakutani fixed-point theorem. --- Lagrange multiplier. --- Linear equation. --- Linear inequality. --- Linear map. --- Linear space (geometry). --- Linear subspace. --- Loss function. --- Main diagonal. --- Mathematical induction. --- Mathematical optimization. --- Mathematical problem. --- Max-flow min-cut theorem. --- Maxima and minima. --- Maximal set. --- Maximum flow problem. --- Menger's theorem. --- Minor (linear algebra). --- Monotonic function. --- N-vector. --- Nonlinear programming. --- Nonnegative matrix. --- Parity (mathematics). --- Partially ordered set. --- Permutation matrix. --- Permutation. --- Polyhedron. --- Quantity. --- Representation theorem. --- Row and column vectors. --- Scientific notation. --- Sensitivity analysis. --- Set notation. --- Sign (mathematics). --- Simplex algorithm. --- Simultaneous equations. --- Solution set. --- Special case. --- Subset. --- Summation. --- System of linear equations. --- Theorem. --- Transpose. --- Unit sphere. --- Unit vector. --- Upper and lower bounds. --- Variable (mathematics). --- Vector space. --- Von Neumann's theorem.