GTAP 全球貿易分析計畫-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

GTAP 全球貿易分析計畫

GTAP 全球貿易分析計畫
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經濟財金分析軟體
介紹

GTAP（Global Trade Analysis Project, GTAP）模型為美國普渡大學教授湯姆斯·赫特所發展。依據澳洲Impact計畫以及SALTER計畫為理論基礎的該模型，適用範圍為全球貿易分析。
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產品規格
GTAP 10 Data Base
GTAP Model v7

GTAP 10 Data Base

The GTAP Data Base is a consistent representation of the world economy for a pre-determined reference year. Underlying the data base there are several data sources, including among others: national input-output (I-O) tables, trade, macroeconomic, energy and protection data. The underlying input-output tables are heterogeneous in sources, methodology, base years, and sectoral detail, thus for achieving consistency, substantial efforts are made to make the disparate sources comparable. For these reasons, the objective of the GTAP Data Base is not to provide I-O tables, but to facilitate the operation of economic simulation models ensuring users a consistent set of economic facts. Some users interested in particular Social Accounting Matrices (SAMs) use utilities written by researchers in the network to extract them. Users building I-O tables based on this information do that under their own risk, and are assumed to understand the limitations imposed by the process of data base construction.

The GTAP Data Base is not a relational database of economic variables. Users interested in economic data only for comparative purposes are better served by sources such as the World Bank Development Indicators (WDI), the International Monetary Fund (IMF) financial statistics, or the Food and Agriculture Organization (FAO) statistics, to name a few. The data in the GTAP Data Base accurately depicts the magnitudes of economic variables, but they are presented in terms of the aggregates that serve Computable General Equilibrium (CGE) modeling.

What is the GTAP 10 Data Base?
The centerpiece of the Global Trade Analysis Project is the GTAP Data Base, a fully documented, publicly available global database containing complete bilateral trade information, transport and protection linkages. The GTAP Data Base represents the world economy and is utilized by thousands worldwide as a key input into most applied general equilibrium (AGE) analysis of global economic issues. An overview of GTAP 10 is available from the open access Journal of Global Economic Analysis at https://www.jgea.org/resources/jgea/ojs/index.php/jgea/article/view/77

GTAP Model v7

Standard Model
The standard GTAP Model is a multiregion, multisector, computable general equilibrium model, with perfect competition and constant returns to scale. Innovative aspects of this model include:

• The treatment of private household preferences using the non-homothetic CDE functional form.
• The explicit treatment of international trade and transport margins. Bilateral trade is handled via the Armington assumption.
• A global banking sector which intermediates between global savings and consumption.

The GTAP Model also gives users a wide range of closure options, including unemployment, tax revenue replacement and fixed trade balance closures, and a selection of partial equilibrium closures (which facilitate comparison of results to studies based on partial equilibrium assumptions).

The GTAP Model was initially documented in the GTAP Book. Recent changes in the structure can be found below:

• The Standard GTAP Model, Version 7, by Corong et al., Journal of Global Economic Analysis, 2017.
• Global Trade Analysis: Modeling and Applications, by T.W. Hertel (ed.).
• A Graphical Exposition of the GTAP Model by Brockmeier, Martina.
• A Note On Changes Since GTAP Book Model by Itakura, K. and T. Hertel, 2000
• A New Regional Household Demand System for GTAP by McDougall, R., GTAP Working Paper No. 14, 2000
• A General Welfare Decomposition for CGE Models by Hanslow, K., GTAP Technical Paper No. 19, 2000
• Decomposing Welfare Changes in GTAP by Huff, K. and T. Hertel, GTAP Technical Paper No. 05, 2001
• Two Small Extensions to SALTER by McDougall, R., SALTER Working Paper Number 12, 1993
• A Note on the CES Functional Form and Its Use in the GTAP Model by Gohin, A. and T. Hertel
• Notes on Final Demand in the Presence of Non-homothetic, Weak Separability by Hertel, T.
• References for GTAP Data Base and Model

The model code is also available for download:

• Current version: GTAP.TAB Version 6.2. This latest version was released in May 2007.
• Version history: The first model version was GTAP.TAB 2.2a (GTAP 94). It is documented in the GTAP Book. Since 1994, 5 major versions have been released. A complete version history since 1994 may be downloaded.

Applications and Extensions to the GTAP Model
The standard GTAP Model is amenable to modifications. Many of these modifications are documented in the GTAP Technical and Working Paper Series as well as in GTAP Applications. Key areas of current research at the Center include the development of models and data bases to examine issues related to environmental and energy issues, poverty and migration.

GTAP全球貿易分析模型

GTAP（Global Trade Analysis Project, GTAP）模型為美國普渡大學教授湯姆斯·赫特所發展。依據澳洲Impact計畫以及SALTER計畫為理論基礎的該模型，適用範圍為全球貿易分析。
GTAP架構以個別國家地區生產、消費、政府支出作為子模型，在輸入資料並折算各項參係數後，以量化數據描繪各國貿易關係。最後，並可將各子模型連結成多國多部門的均衡模型。該模型可供使用者，於貿易政策施行前，模擬標的國家或地區之國內生產毛額、社會福利、就業率、進出口等變化，並根據此分析規劃因應措施。

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Microfit 是用於計量經濟模型建立的軟體.程式是由劍橋大學的經濟學家Dr.Hashem Pesaran和Dr.Bahram Pesaran所設計,新增的數據分析功能,可以預估設計高等的單變異數(Univariate)及多變異數 (multivariate)時間序列的模型.Microfit的使用手冊包含了多個教學範例,使用多種不同的財務及經濟數據 .Microfit 是交談式,由選單驅動的評估預測軟體.非常適合企業,銀行,教學及研究使用.

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RATS/CATS 時間序列回歸分析軟體

RATS is used worldwide by economists and others for analyzing time series and cross sectional data, developing and estimating econometric models, forecasting, and much more. CATS (Cointegration Analysis of Time Series) is a set of cointegration analysis procedures written by Jonathan G. Dennis, Katarina Juselius, Sören Johansen and Henrik Hansen of the University of Copenhagen for use with our RATS software.

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Decision Lab 2000 多重分析決策軟體

Decision Lab 2000 is a multicriteria analysis and decision-making software. Its advanced features will provide evidence of strengths vs weaknesses, of conflicts and consensus. By trying your own "What if?" scenarios, you will really improve the quality and the reliability of your decision-making processes.

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