2 edition of specification and estimation of a macroeconometric model for Botswana found in the catalog.
specification and estimation of a macroeconometric model for Botswana
by Organization for Social Science Research in Eastern Africa in Addis Ababa, Ethiopia
Written in English
|Series||Occasional paper ;, no. 1, Occasional paper (Organization for Social Science Research in Eastern Africa) ;, no. 1.|
|Contributions||Organization for Social Science Research in Eastern Africa.|
|LC Classifications||HC930 .M47 1991|
|The Physical Object|
|Pagination||29 p. ;|
|Number of Pages||29|
|LC Control Number||91982748|
specification, macroeconometric models provide substantial flexibility in tailoring individual equations and variables to the needs of the modeler. The models can range from a few dozen equations to several thousand; they may be backward or forward looking; and macroeconometric models can be regional, national, or international in scope. Estimating DSGE models using the Metropolis-Hastings algorithm; In addition to the text book references above, a list of the relevant research articles will be provided. Structural Factor model (SFM) Specification and estimation. Tools: Impulse response functions, variance decomposition, historical decomposition.
This book surveys the theories, techniques (model- building and data collection), and applications of econometrics. KEY TOPICS: It focuses on those aspects of econometrics that are of major importance to readers and researchers interested in performing, evaluating, or understanding econometric studies in a variety of areas. It reviews matrix notation and the use of multivariate Reviews: 1. Advances in Econometrics is essential reading for academics, researchers and practitioners who are involved in applied economic, business or social science research, and eager to keep up with the latest methodological tools. The series: Disseminates new ideas in a style that is more extensive and self-contained than journal articles, with many papers including supplementary computer code and.
However, most of these models can be criticized in the ground of both the application of time series econometrics in estimating behavioural equations and the construction of such equations in the models. For example, the early macroeconometric models (e.g., Rashid (), Hossain (), Rahman and Shilpi ()) assumed variables. ods for complete models are now routine. In particular, the availability of fast, inexpensive computers has made stochastic simulation routine, and this has greatly expanded the ways in which models can be tested and analyzed. This chapter discusses computational methods for the estimation and analysis of macroeconometric models.
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Additional Physical Format: Online version: Mhozya, Xavier. Specification and estimation of an econometric model of Botswana. Braunton, Devon: Merlin Books, ISBN: OCLC Number: Description: pages: illustrations ; 24 cm: Contents: Macroeconomic methodology --A theoretical model --An econometric model --Other econometric models --Estimation --Solution --Evaluating predictive accuracy --Evaluating static and dynamic properties --Optimal control analysis --Models with rational expectations.
This book surveys the theories, techniques (model- building and data collection), and applications of econometrics.
KEY TOPICS: It focuses on those aspects of econometrics that are of major importance to readers and researchers interested in performing, evaluating, or understanding econometric studies in a variety of areas.
It reviews matrix notation and the use of multivariate statistics. Estimating the Cointegrating Vector. Testing for Cointegration. Disequilibrium Models. Disequilibrium Models.
Estimation Methods. The Specification and Estimation of a Disequilibrium Model of the Labour Market. Macro Models. The Key Equations in the Macro Model. Conclusions. Model Solutions, Dynamic Tracking and Mechanical Edition: 1.
Purchase Principles of Macroeconometric Modeling, Volume 36 - 1st Edition. Print Book & E-Book. ISBNMacroeconometric/ forecasting Models • Models of the South African Economy Macroeconomic planning/ forecasting Models 1. The National Institute for Economic Policy Model 2.
The World Bank Macroeconometric model 3. The Industrial Development Corporation’s CGE model 4. The Development Bank of Southern Africa (DBSA) Model 5.
Vector Autoregressive Models: Specification, Estimation, Inference, and Forecasting. Universitat Pompeu Fabra, Barcelona.
Search for more papers by this author. Book Editor(s): Hashem Pesaran. Search for more papers by this author methodology into the mainstream of applied macro‐economic research as an alternative to large scale.
Botswana's standard of living is currently comparable to such countries as Turkey and Mexico. The discovery of diamonds in and the mining production that followed created an opportunity for Botswana to support the robust economic and industrial drive of diamond commerce throughout the latter part of the 20th century.
Macroeconometric models have a supply and a demand side for estimation of these parameters. Kydland and Prescott call it the system of equations approach.  Large-scale macroeconometric model can be defined as a set of stochastic equations with definitional and institutional relationships denoting the behaviour of economic agents.
specification of the stochastic structure of the variables etc. Estimation and testing of models: The models are estimated on the basis of the observed set of data and are tested for their suitability.
This is the part of the statistical inference of the modelling. Various estimation procedures are used to know the. model. This partition facilitates the estimation of some models while being general enough to encompass existing particle ﬁlters.
The general idea of the procedure follows. First, for given values of the parameters, we solve for the equilibrium of the model with a non-linear solution method.
The researcher can employ. Macro Econometric Modelling: A Practical Approach under EViews, with a Focus on Africa. Jean Louis Brillet. AGRODEP Technical Notes are designed to document state-of-the-art tools and methods. They are circulated in order to help AGRODEP members address technical issues in their use of models.
"The first edition of this book was a gold mine of tools for formulating and estimating modern dynamic stochastic economic models suitable to macroeconomics, finance, and applied microeconomics. This edition is even better and describes how to use exciting new developments in dynamic estimation."—Thomas J.
Sargent, New York University. the structure of macroeconometric models, building the database for such models, estimating and calibrating the models, implementing the model on the computer using EViews, formulating scenarios and running policy simulations, reporting and interpreting the results. Structural econometric modelling: Methodology and tools with applications under EViews, by Jean-Louis Brillet, describes how to use the model object in EViews to solve structural economic models.
Not only does the book provide step by step examples of using EViews for modelling, it also provides a easy to follow descriptions of economic. Specification. It is easiest to consider what a macroeconometric model is like by considering a simple example.
The following is a simple multiplier model. C t is consumption, I t is investment, Y t is total income or GDP, G t is government spending, and r t is the interest rate. The t subscripts refer to period t. (1) C t = a 1 + a 2 Y t + e t.
Specification, Estimation, and Analysis of Macroeconometric Models Ray C. Fair book, has been funded by the National Science Foundation (current grant number SOC). Expected Quality of Macroeconometric Models in the Long Run Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.
You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises.
Working Paper - The NIME Model - Specification and Estimation of the Demand Equations of the Household Sector Article November with 7 Reads How we measure 'reads'. TARGET GROUP | Government officials involved in developing macroeconometric models and forecasting for the analysis, design, and implementation of macroeconomic policy.
Participants should have an advanced degree in economics or equivalent experience and a background in econometrics. They should also be comfortable using EViews for econometric applications.
It is strongly. Sune Karlsson, in Handbook of Economic Forecasting, 1 Introduction. Vector autoregressions (VARs) have become the workhorse model for macroeconomic forecasting. The initial use in economics was to a large degree motived by Sims () critique of the “incredible restrictions” used by the large macroeconometric models developed in the s and much effort was put into tools for.Macroeconometric modelling is carried out mainly through the Monetary Model of Singapore (MMS) and Satellite Model of Singapore (SMS), in addition to supporting spreadsheet models.
This approach resonates with our pluralistic approach to economic surveillance and forecasting.More of an art than a science, cost estimating requires a thorough understanding of project scope, past price history, and current market conditions, as well as with a generous application of human judgment.
Key goals of the estimating process described in this manual include: 1. Departmentwide priority on estimating, managing, and controlling.