Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model
This paper summarizes the World Bank's approach to identifying parameters for key equations in its macro structural model for countries where short sample sizes or major structural changes render traditional time-series approaches infeasible o...
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okr-10986-320592022-09-20T00:13:52Z Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model Burns, Andrew Jooste, Charl STRUCTURAL EQUATIONS COINTEGRATED PANELS MACROECONOMIC MODEL This paper summarizes the World Bank's approach to identifying parameters for key equations in its macro structural model for countries where short sample sizes or major structural changes render traditional time-series approaches infeasible or yield unstable estimates. To identify parameters that could be used in such cases, a cointegrating panel approach is followed that yields a common long-run estimate of parameters for key equations (to test the theoretical restrictions imposed in the model) and short-run disequilibrium estimates that vary by country. This approach is preferred to pure calibration or Bayesian estimation, because the functional forms imposed in the panel are consistent with those used in the macro structural model. 2019-07-11T16:21:22Z 2019-07-11T16:21:22Z 2019-07 Working Paper http://documents.worldbank.org/curated/en/662391562848917501/Estimating-and-Calibrating-MFMod-A-Panel-Data-Approach-to-Identifying-the-Parameters-of-Data-Poor-Countries-in-the-World-Banks-Structural-Macro-Model http://hdl.handle.net/10986/32059 English Policy Research Working Paper;No. 8939 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
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Foreign Institution |
institution |
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World Bank Open Knowledge Repository |
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World Bank |
language |
English |
topic |
STRUCTURAL EQUATIONS COINTEGRATED PANELS MACROECONOMIC MODEL |
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STRUCTURAL EQUATIONS COINTEGRATED PANELS MACROECONOMIC MODEL Burns, Andrew Jooste, Charl Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
relation |
Policy Research Working Paper;No. 8939 |
description |
This paper summarizes the World
Bank's approach to identifying parameters for key
equations in its macro structural model for countries where
short sample sizes or major structural changes render
traditional time-series approaches infeasible or yield
unstable estimates. To identify parameters that could be
used in such cases, a cointegrating panel approach is
followed that yields a common long-run estimate of
parameters for key equations (to test the theoretical
restrictions imposed in the model) and short-run
disequilibrium estimates that vary by country. This approach
is preferred to pure calibration or Bayesian estimation,
because the functional forms imposed in the panel are
consistent with those used in the macro structural model. |
format |
Working Paper |
author |
Burns, Andrew Jooste, Charl |
author_facet |
Burns, Andrew Jooste, Charl |
author_sort |
Burns, Andrew |
title |
Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
title_short |
Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
title_full |
Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
title_fullStr |
Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
title_full_unstemmed |
Estimating and Calibrating MFMod : A Panel Data Approach to Identifying the Parameters of Data Poor Countries in the World Bank's Structural Macro Model |
title_sort |
estimating and calibrating mfmod : a panel data approach to identifying the parameters of data poor countries in the world bank's structural macro model |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
http://documents.worldbank.org/curated/en/662391562848917501/Estimating-and-Calibrating-MFMod-A-Panel-Data-Approach-to-Identifying-the-Parameters-of-Data-Poor-Countries-in-the-World-Banks-Structural-Macro-Model http://hdl.handle.net/10986/32059 |
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1764475702838558720 |