Dynamic Linear Economic Models

Dynamic Linear Economic Models
Author: James L. Kenkel
Publisher: Routledge
Total Pages: 338
Release: 2018-04-09
Genre: Business & Economics
ISBN: 1351140701

Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.

Dynamic Linear Economic Models

Dynamic Linear Economic Models
Author: James Kenkel
Publisher: Routledge
Total Pages: 401
Release: 2018-04-09
Genre: Business & Economics
ISBN: 135114071X

Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.

Recursive Models of Dynamic Linear Economies

Recursive Models of Dynamic Linear Economies
Author: Lars Peter Hansen
Publisher: Princeton University Press
Total Pages: 418
Release: 2018-07-10
Genre: Business & Economics
ISBN: 0691180733

A guide to the economic modeling of household preferences, from two leaders in the field A common set of mathematical tools underlies dynamic optimization, dynamic estimation, and filtering. In Recursive Models of Dynamic Linear Economies, Lars Peter Hansen and Thomas Sargent use these tools to create a class of econometrically tractable models of prices and quantities. They present examples from microeconomics, macroeconomics, and asset pricing. The models are cast in terms of a representative consumer. While Hansen and Sargent demonstrate the analytical benefits acquired when an analysis with a representative consumer is possible, they also characterize the restrictiveness of assumptions under which a representative household justifies a purely aggregative analysis. Hansen and Sargent unite economic theory with a workable econometrics while going beyond and beneath demand and supply curves for dynamic economies. They construct and apply competitive equilibria for a class of linear-quadratic-Gaussian dynamic economies with complete markets. Their book, based on the 2012 Gorman lectures, stresses heterogeneity, aggregation, and how a common structure unites what superficially appear to be diverse applications. An appendix describes MATLAB programs that apply to the book's calculations.

The Theory of Linear Economic Models

The Theory of Linear Economic Models
Author: David Gale
Publisher: University of Chicago Press
Total Pages: 353
Release: 1989-02-10
Genre: Business & Economics
ISBN: 0226278840

Reprint of the edition of 1960. Gale (math, economics, operations research, U. of Cal. Berkeley) provides a complete and systematic treatment of the topic. Annotation copyrighted by Book News, Inc., Portland, OR

Mathematical Methods in Dynamic Economics

Mathematical Methods in Dynamic Economics
Author: A. Simonovits
Publisher: Springer
Total Pages: 308
Release: 2000-06-05
Genre: Business & Economics
ISBN: 0230513530

This book contains a concise description of important mathematical methods of dynamics and suitable economic models. It covers discrete as well as continuous-time systems, linear and nonlinear models. Mixing traditional and modern materials, the study covers dynamics with and without optimization, naive and rational expectations, respectively. In addition to standard models of growth and cycles, the book also contains original studies on control of a multisector economy and expectations-driven multicohort economy. Numerous examples, problems (with solutions) and figures complete the book.

Dynamic Linear Models with R

Dynamic Linear Models with R
Author: Giovanni Petris
Publisher: Springer Science & Business Media
Total Pages: 258
Release: 2009-06-12
Genre: Mathematics
ISBN: 0387772383

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.

Dynamic General Equilibrium Modeling

Dynamic General Equilibrium Modeling
Author: Burkhard Heer
Publisher: Springer Science & Business Media
Total Pages: 719
Release: 2011-10-20
Genre: Business & Economics
ISBN: 3540856846

Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value. In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. In an accompanying home page to this book, computer codes to all applications can be downloaded.

Introduction to Dynamic Economic Models

Introduction to Dynamic Economic Models
Author: Brian S. Ferguson
Publisher:
Total Pages: 326
Release: 1998
Genre: Business & Economics
ISBN:

Unnecessary complexity has been avoided, yet the models have been presented in the same general form as they appear in the professional literature.

Optimization in Economics and Finance

Optimization in Economics and Finance
Author: Bruce D. Craven
Publisher: Springer Science & Business Media
Total Pages: 174
Release: 2005-10-24
Genre: Business & Economics
ISBN: 0387242805

Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.

Advances in Non-linear Economic Modeling

Advances in Non-linear Economic Modeling
Author: Frauke Schleer-van Gellecom
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2013-12-11
Genre: Business & Economics
ISBN: 3642420397

In recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.