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OxMetrics is an econometric software including the Ox programming language for econometrics and statistics, developed by Jurgen Doornik and David Hendry.OxMetrics originates from PcGive, one of the first econometric software for personal computers, initiated by David Hendry in the 1980s at the London School of Economics.
Computational economics uses computer-based economic modeling to solve analytically and statistically formulated economic problems. A research program, to that end, is agent-based computational economics (ACE), the computational study of economic processes, including whole economies, as dynamic systems of interacting agents. [4]
In econometrics, as in statistics in general, it is presupposed that the quantities being analyzed can be treated as random variables.An econometric model then is a set of joint probability distributions to which the true joint probability distribution of the variables under study is supposed to belong.
Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. [1] More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference."
The following is a list of textbooks that use gretl as their software of choice: Dougherty, Christopher Introduction to Econometrics (Oxford University Press) Kufel, Tadeusz Ekonometria (Wydawnictwo Naukowe PWN); in Polish (Russian version also available) Kivedal, Bjørnar Applied Statistics and Econometrics (Springer)
Shazam is a comprehensive econometrics and statistics package for estimating, testing, simulating and forecasting many types of econometrics and statistical models. SHAZAM was originally created in 1977 by Kenneth White. [1]
In econometrics, the seemingly unrelated regressions (SUR) [1]: 306 [2]: 279 [3]: 332 or seemingly unrelated regression equations (SURE) [4] [5]: 2 model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several regression equations, each having its own dependent variable and potentially ...
In statistics, econometrics, and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it can be used to describe certain time-varying processes in nature, economics, behavior, etc.