PREDICTING NEGATIVE EFFECTS OF THE SECOND INTIFADA: AN EX-POST EVALUATION OF SOME MODELS

In 2003, the World Bank (WB), the International Monetary Fund (IMF) and de Boer and Missaglia (DBM) constructed models for the estimation of the 2002 macro-economic indicators of the economy of Palestine. In 2007, IMF and WB provided the consensus estimates of these figures using data that are more up-to-date and more complete than those available in 2003. This note proposes an ex-post evaluation of the predictive performance of the models of WB, DBM and IMF. A comparison of the models of WB and DBM, which are both micro-founded computable general equilibrium models using the same data, reveals that DBM strongly outperforms WB. We argue that the shortening of the time horizon and the quantity adjustment following the dramatic shock explain why our model performs much better. A comparison of DBM with IMF (a simple macro-founded income-expenditure model) also shows that our model performs better.     

Food-For-Work versus Cash-For-Work: Emergency Assistance in Palestine

In this paper we analyse the provision of emergency assistance (food assistance, cash transfers, employment programmes, etc) to a country whose economy has been decimated since the start of the second intifada. We try to simulate the different potential effects brought about by these different policies and, in particular, to draw some policy implications concerning the Food-for-Work versus Cash-for-Work debate. To that end we have constructed a general equilibrium model of the Palestinian economy that we calibrate on the (pre-intifada) Social Accounting Matrix (SAM) of 1998. We give a so-called 'intifada-shock' to construct a counterfactual 'post-intifada' SAM which serves as basis for our policy simulations. We show that monetary aid from abroad is to be preferred to food aid from abroad. We argue that a labour-oriented approach (subsidizing the most labour-intensive sectors) is to be preferred to a welfare-oriented approach where the subsidized sectors produce those goods that dominate the consumption basket.     

世界连接CGE模型方法、研制与应用

随着世界经济一体化和空间经济学的日益发展,系统模型方法在国家或区域间经济联动方面的扩展和深化研究正在显现出巨大的应用价值。本文首先开发一个世界连接可计算一般均衡模型,科学揭示各经济体的运行特征,为定量剖析世界范围内各经济体的经济增长、结构变动方面提供一个系统分析框架：一方面在模型的理论框架中,分析了世界CGE模型各个模块的构建思想和对应的主要方程及其特征;另一方面建立了世界连接社会核算矩阵。然后通过动态模拟分析,检验链接模式和国家间经济联系,以及应用于各经济体政策变化的综合影响评价。     

Honduras: application of a CGE model

This paper constructs a social accounting matrix for Honduras to serve as a database for the computable general equilibrium (or CGE) model adapted to the characteristics of the Honduran economy. A number of simulations of economic policy modifications were carried out to quantify their possible impact on Honduran economy. This paper first considers the general characteristics of the Honduran economy and the main policy reforms put into effect these last few years. CGE model characteristics for Honduras are briefly presented, and the Honduran SAM for 1991 is described. Several simulations were run to assess the impact of selected policy changes. Results show that, in general, structural modification policies used to redirect the Honduran economy outwards (trade liberalization and devaluation of the lempira) favor agriculture, not only in terms of its domestic production but also concerning income distribution. The results are consistent with the ones proposed in the literature on economic development that maintains that interventionist policies linked to the import substitution model that were in fashion until the eighties were anti-agrarian. On the other hand, a reduction in public expenditure promotes less the Honduran rural sector, though it does not stop doing so. However, results also point to the fact that there are underlying problems in carrying out these liberalization measures. The clearest case is free trade, since compensating the drastic reductions to state income that are brought by the reduction or elimination of tariffs is no easy task.     

An Application of an Integrated Transport Network– Multiregional CGE Model: a Framework for the Economic Analysis of Highway Projects

This paper develops a framework for the economic analysis of highway projects that is then used to estimate the dynamic economic effects of a highway project on the economic growth and the regional disparity in Korea. The framework is composed of a transport model and a multiregional Computable General Equilibrium (CGE) model. The transport model measures a change in interregional shortest distances and the accessibility due to the highway project. The CGE model estimates the spatial economic effects of the project on GDP, the price, exports, and the regional distribution of wages and population. The simulation allows policy makers to determine which highway development deserves the priority for investment, based on consideration of economic growth and regional economic equity in the long run. The simulation found that all the highway projects have positive effects on GDP and export growth as well as regional equity in terms of wage and population.     

Modeling conflict impact and postconflict reconstruction: The case of Yemen

Evidence-based planning for countries in the midst of conflict is often constrained by missing data and the lack of appropriate analytical tools. To overcome these constraints, we use a computable general equilibrium (CGE) model combined with systematic sensitivity analysis (SSA) to investigate the impact of conflict on Yemen’s economy and to analyze potential pathways for recovery after the conflict finally ends. Our results suggest that conflict-related disruptions in agriculture and mining sent devastating shockwaves throughout the economy, accounting for the lion’s share of the country’s economic losses and increase in poverty. Our results suggest that supporting agriculture should take the highest priority, as reconstruction of that sector, followed by the mining sector, has the largest positive impact on growth and poverty reduction. However, our estimates also suggest that the restoration of its prewar economic status quo is unlikely. In addition to serving as a direct input for Yemen’s reconstruction planning, our paper also demonstrates the usefulness of overarching models for conflict and postconflict economic assessments.     

ECONOMETRIC ESTIMATION OF ARMINGTON IMPORT ELASTICITIES FOR A REGIONAL CGE MODEL OF THE ILLINOIS ECONOMY

One of the main concerns associated with the development and use of regional CGE models is the determination of key parameter values, particularly substitution and other price elasticities. A common problem is the lack of appropriate regional data for econometric estimation. Consequently, it is important to identify key parameters that are likely to be important in determining quantitative results and then to prioritize these for estimation where appropriate data are available. In this paper, the focus is on the estimation of the regional trade (import) substitution parameters, which tend to be important in analysis for regional economies (given their openness to trade). Here, commodity import elasticities for the Illinois economy are estimated and tested in a single region CGE model of the Illinois economy. In our econometric estimation, we apply a model that takes account of market size and distance in estimating the substitutability between commodities produced in Illinois and other US states.     

Applicability of a spatial computable general equilibrium model to assess the short-term economic impact of natural disasters

Computable general equilibrium (CGE) models have been widely used to assess the economic impact of natural disasters, but the models have not been fully validated by applying them to real disasters. This study focuses on validating a model for use in a short-run case in which the functional recovery of infrastructure and businesses occurred on a time scale of a few months. A special attempt is made to determine the parameter values of elasticity of substitutions, which play an important role in the effect on supply chains. In this study, a spatial CGE model, in which Japan is divided into nine regions, is constructed and applied to the case of the 2011 Great East Japan Earthquake and Tsunami. Through this application, the best estimates of the elasticity parameters generated relatively consistent estimates of production change compared with the observed change, both in severely affected regions and in other regions.     

Constructing SAMs for Development Policy Analysis: Lessons Learned and Challenges Ahead

The aim of this paper is to appraise a few of the key innovative features of the early work in compiling SAMs for development policy analysis; to set out and review some recent methodological advances; and to identify those areas where compilation continues to be problematic. It briefly re-visits the features of the SAM as an integrating framework and sets out its relationship to the SNA 1993. The main compilation problems faced in practice arise from assembling the household accounts from household survey data where income data are especially unreliable and are difficult to link to the factor accounts and to income transfers. Experience is drawn from the construction of a Ghana SAM. In the literature relatively more attention has been devoted to balancing and data reconciliation methods, which are briefly reviewed, although these are second order adjustments and much still depends on the quality of the initial estimates     

Recovering Hidden Indirect Tax Rates for Improved Calibration in Multisectoral Modelling

We explain in this work why a straight calibration to published input-output or SAM data in multisectoral modelling may lead to the use of an incorrect representation of the productive technology, hence casting doubts on the value of the empirical results. The culprit is the possible presence of indirect taxation in the form of, for instance, a value-added tax. We show how to unveil the hidden tax rates so as to clean up published data of this possibly distorting presence and therefore calibrate the correct production technology. This technology can then be used for multisectoral (i.e. CGE, input-output) analysis and simulations.     

Analysis of failure time using threshold regression with semi‐parametric varying coefficients

Many new statistical models may enjoy better interpretability and numerical stability than traditional models in survival data analysis. Specifically, the threshold regression (TR) technique based on the inverse Gaussian distribution is a useful alternative to the Cox proportional hazards model to analyse lifetime data. In this article we consider a semi‐parametric modelling approach for TR and contribute implementational and theoretical details for model fitting and statistical inferences. Extensive simulations are carried out to examine the finite sample performance of the parametric and non‐parametric estimates. A real example is analysed to illustrate our methods, along with a careful diagnosis of model assumptions.     

中国多区域社会保障均衡的政策模拟

本文在介绍社会保障研究和多区域CGE进展的基础上,提出将社会保障研究从传统的单区域局部均衡框架推进至多区域一般均衡的研究框架,并构建了一个中国多区域社会保障可计算一般均衡模型(Multi-Regional,MReCGE-C),该模型对居民根据城乡属性和年龄结构进行了分组,放松了要素流动的限制,使劳动力和资本可以同时跨区域流动,并设计了一种基于居民终生效用的区域均衡机制,通过区域变量可以调控和测度区域差距。最后利用MReCGE-C模型针对中国社会保障政策下的两种典型方案进行了模拟。     

财政民生支出CGE模型闭合条件的选择与检验

CGE模型闭合条件是反映模型经济特性和影响模拟结果的关键方面,其选择也多凭建模者主观判断。本文构建财政民生支出CGE模型,运用计量经济方法对其45种闭合条件下居民收入变化的模拟结果进行实证和检验。研究发现,部分闭合条件下的CGE模型结果与相应VAR模型脉冲冲击后各个变量响应的结果存在较大程度的接近,这些结果与我国当前经济状况相符,且更为准确,从而证明在CGE建模时可以借助计量经济方法进行闭合条件的选择。     

THE TRANSPORT SECTOR AND REGIONAL PRICE DIFFERENTIALS: A SPATIAL CGE MODEL FOR CHINESE PROVINCES

With regression formulas replaced by equilibrium conditions, a spatial CGE (Computable General Equilibrium) model can substantially reduce data requirements. Detailed regional analyses are thus possible in countries where only limited regional statistics are available. Alhough regional price differentials play important roles in multiregional settings, transport does not receive much attention in existing models. This paper formulates a spatial CGE model that explicitly considers the transport sector and FOB/CIF prices. After describing the model, the performance of our model is evaluated by comparing the benchmark equilibrium for China with a survey-based interregional I-O table for 1987. The structure of Chinese economies is summarized using information obtained from the benchmark equilibrium computation. This includes regional and sectoral production distributions and price differentials. The equilibrium for 1997 facilitates discussion of changes in regional economic structures that China has experienced in the decade.     

MULTIPLE LABOR GROUPS AND THEIR EFFECTS ON SMALL CITY AND TOWN SAMS AND CGE MODELS

This paper extends Schwarm and Cutler (2003) by incorporating three labor groups while using their methods to source data and provide an organizational framework that allows effective and straightforward creation of social accounting matrices (SAMs) and regional computable general equilibrium (CGE) models. While CGE models typically describe relatively large geographical areas and are therefore not able to capture the uniqueness of individual cities or towns within the region, our model allows simulations of small cities and towns that highlight regional similarities or differences. The differing effects of both an increase in manufacturing and a change in the sales tax are examined to demonstrate the insights and regional characteristics that such methods allow a researcher to obtain.     

USING A CGE MODEL TO IDENTIFY THE POLICY TRADE-OFF BETWEEN UNEMPLOYMENT AND INFLATION. THE EFFICIENT PHILLIPS CURVE

This paper provides a new reading of a classical economic relation: the short-run Phillips curve. Our point is that, when dealing with inflation and unemployment, policy-making can be understood as a multicriteria decision-making problem. Hence, we use so-called multiobjective programming in connection with a computable general equilibrium (CGE) model to determine the combinations of policy instruments that provide efficient combinations of inflation and unemployment. This approach results in an alternative version of the Phillips curve labelled as efficient Phillips curve. Our aim is to present an application of CGE models to a new area of research that can be especially useful when addressing policy exercises with real data. We apply our methodological proposal within a particular regional economy, Andalusia, in the south of Spain. This tool can give some keys for policy advice and policy implementation in the fight against unemployment and inflation.     

Gender policy and female employment: a CGE model for Italy

The gender integration in all areas of policy choices and at all stages of the decision-making process is strongly recommended by the European Union and represents an achievement that the Member States should accomplish when implementing policy measures. In a country like Italy, where the level of female labour participation is among the lowest in Europe, policy maker decisions should encourage and stimulate the demand for female labour without neglecting the global employment rate and income growth. The multisectoral analysis offers the possibility to bridge gender disaggregation within income formation and distribution from the production phase to the demand formation. In this perspective, this paper develops a gender-aware CGE model based on the gender-aware SAM for the Italian economy to evaluate the impact of different fiscal policies aimed to reduce female labour cost and trigger woman hiring in those sectors with high gender disparity.