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VECTORIZATION AND ECONOMETRIC MODEL SIMULATION
Computer Science in Economics and Management, 1989Linear 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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Spatial Econometric Interaction Modelling
2016The present book is concerned with spatial interaction modelling. In particular, it aims to illustrate, through a collection of methodological and empirical studies, how estimation approaches in this field recently developed, by including the tools typical of spatial statistics and spatial econometrics (Anselin 1988; Cressie 1993; Arbia 2006, 2014 ...
PATUELLI, ROBERTO, G. Arbia
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Econometric disequilibrium models∗
Econometric Reviews, 1982Four basic strands in the disequilibrium literature are identified. Some examples are discussed and the canonical econometric disequilibrium model and its estimation are dealt with in detail. Specific criticisms of the canonical model,dealing with price and wage rigidity, with the nature of the min condition and the price-adjustment equation, are ...
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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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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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1988
This book brings together presentations of some of the fundamental new research that has begun to appear in the areas of dynamic structural modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference.
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This book brings together presentations of some of the fundamental new research that has begun to appear in the areas of dynamic structural modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference.
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How financial development affects CO2 emissions: A spatial econometric analysis
Journal of Environmental Management, 2021Zhike Lv
exaly