Titlebook: Economic and Financial Modeling with Mathematica?; Hal R. Varian Book 1993 Springer Science+Business Media New York 1993 Mathematica.Simul

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ANIM

General Equilibrium Models,re broadly called general equilibrium models, though there are several variations among them. In this chapter we describe a method of obtaining numerical solutions of these models with .. In addition, we show how . can depict various aspects of these models graphically.

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Symbolic Algebra Programming for Analyzing the Long Run Dynamics of Economic Models,ional trade, savings and monetary policy. Recently, some researchers have criticized the way these and other models characterize the long run tendency of the economy. If the equations which codify the assumptions in the models can display bizarre behavior, the models could give misleading forecasts of the behavior of the economy.

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Time Series Models and Mathematica,rete-time stochastic processes—time series. The models are most adept at modeling stationary processes. Through differencing, however, these models accommodate certain forms of nonstationary processes as well.

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Understanding Digital Relationshipsre broadly called general equilibrium models, though there are several variations among them. In this chapter we describe a method of obtaining numerical solutions of these models with .. In addition, we show how . can depict various aspects of these models graphically.

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Bornholm: The Isle of Artisans,ional trade, savings and monetary policy. Recently, some researchers have criticized the way these and other models characterize the long run tendency of the economy. If the equations which codify the assumptions in the models can display bizarre behavior, the models could give misleading forecasts of the behavior of the economy.

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https://doi.org/10.1007/978-3-663-13720-7rete-time stochastic processes—time series. The models are most adept at modeling stationary processes. Through differencing, however, these models accommodate certain forms of nonstationary processes as well.

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https://doi.org/10.1007/978-1-4757-2281-9Mathematica; Simulation; computer; econometrics; modeling