کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5053677 | 1371457 | 2016 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
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چکیده انگلیسی
This paper uses a three-step Bayesian cross-entropy estimation approach in an environment of noisy and scarce data to estimate behavioral parameters for a computable general equilibrium (CGE) model and to measure how labor augmenting productivity and other structural parameters in the model may have shifted over time to contribute to the generation of historically observed changes in the economic arrangement. In this approach, the parameters in a CGE model are treated as fixed but unobserved, which we represent as prior mean values with prior error mass functions. Estimation of the parameters involves using an informationtheoretic Bayesian approach to exploit additional information in the form of new data from a series of Social Accounting Matrices (SAMs), which we assume were measured with error. The estimation procedure is "efficient" in the sense that it uses all available information and makes no assumptions about unavailable information. As illustration, we apply the methodology to estimate the parameters of a CGE model using alternative data sets for South Korea and for Sub-Saharan Africa.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Economic Modelling - Volume 52, Part B, January 2016, Pages 790-811
Journal: Economic Modelling - Volume 52, Part B, January 2016, Pages 790-811
نویسندگان
Delfin S. Go, Hans Lofgren, Fabian Mendez Ramos, Sherman Robinson,