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Econometrics and econometric modeling in Excel and R

2020
The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application.
Irina Orlova, Lyudmila Babeshko
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VECTORIZATION AND ECONOMETRIC MODEL SIMULATION

Computer Science in Economics and Management, 1989
Linear analysis of nonlinear models, stochastic simulation, evaluation of forecast errors and optimal control are examples of econometric analysis that require many datasets to be solved for the same model. In this paper, we present an algorithm which demonstrates significant gains in solution speed-up and cost reduction, using vectorization, a ...
C.E. Petersen, A. Cividini
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Econometric Model Determination

Econometrica, 1996
Summary: Our general subject is model determination methods and their use in the prediction of economic time series. The methods suggested are Bayesian in spirit but they can be justified by classical as well as Bayesian arguments. The main part of the paper is concerned with model determination, forecast evaluation, and the construction of evolving ...
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The Size of Dynamic Econometric Models

Econometrica, 1984
This paper investigates the performances of dynamic econometric models in relationship to their size. More precisely, the central issue addressed in this paper is whether there exists a procedure that systematically associates with every large-scale model a small-scale model that constitutes a reasonably good approximation of the large-scale model ...
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Econometric models for biohydrogen development

Bioresource Technology, 2011
Biohydrogen is considered as an attractive clean energy source due to its high energy content and environmental-friendly conversion. Analyzing various economic scenarios can help decision makers to optimize development strategies for the biohydrogen sector.
Lee, D.H., Lee, D.J., Veziroglu, A.
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The Econometric Model

1981
The aim of this chapter is to formulate and test a large-scale, multisectoral, econometric model for the UK in order to apply the results of the stochastic optimal control techniques developed earlier. Our final purpose is to formulate an investment plan for the UK economy, together with a price- wage plan to regulate the economy.
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Econometric Models

The following sections are included:Introduction: Why econometric models in marketing?Major marketing phenomenaMethodological ...
Doğru, Tarık   +2 more
  +6 more sources

BOOTSTRAPPING ECONOMETRIC MODELS [PDF]

open access: possible, 2007
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capable of yielding very reliable inference, some precautions should be taken in order to ensure this. Two "Golden Rules" are formulated that, if observed, help to obtain the best the bootstrap can offer.
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Causal reasoning in econometric models

Decision Support Systems, 1995
Abstract Propagation of change based on causal ordering is a central element of causal reasoning in economic models. While causal reasoning has most often been applied in qualitative models, we demonstrate a technique for causal reasoning that offers explanations of structure and behaviour in quantitative, econometric contexts.
Kuan-Pin Lin, Arthur M. Farley
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Econometric Models of the Financial Sector

Journal of Money, Credit and Banking, 1971
This paper has three main purposes. The first is to call attention to some theoretical points concerning the structure of financial economic models. The second is to discuss some theoretical features of the financial models embodied in nine important quarterly econometric models of the United States economy.
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