Identifying terms of trade shocks in a developing country using a sign restrictions approach

Using annual data for Botswana from 1960 to 2012, we examine the responses of macroeconomic variables to four generalized positive terms of trade shocks – global demand, globalizing, sector-specific and global supply. A sign-restricted structural vector autoregression model with a penalty function is estimated to identify the four possible shocks. While positive global demand and globalization shocks are both expansionary, they have opposite effects on inflation. A positive commodity market specific shock dampens real GDP growth and is inflationary, suggesting a possible Dutch disease response. A negative global supply shock suppresses both output growth and inflation. All but the last shock leads to a significant declining interest rate. Monetary policy contraction is recommended for the first shock and expansion for the others.     

供给侧改革对产业结构升级的空间效应研究——基于空间面板杜宾模型

本文构建了产业结构高级化和合理化的指标评价体系,从产业结构高级化和合理化两个维度衡量产业结构升级,并引入了地方政府基础建设类支出、科学支出、税收政策、国有化程度以及金融环境等变量,基于2001～2013年全国31省数据,建立空间面板杜宾模型,分析了供给侧改革对产业结构升级的空间效应。实证结果显示：总体上,基础建设类支出和税收政策对产业结构高级化和合理化均存在负向空间效应,不利于我国产业结构的升级;科技支出和金融业发展对产业结构高级化和合理化均存在正向空间效应,有助于我国产业结构的升级。特别的,国有化程度对产业结构高级化和合理化具有显著的正向空间溢出效应;基础建设类支出对产业结构高级化和合理化具有负向的空间溢出效应。     

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

TERM is used to analyse the short‐term regional economic impact of an increase in industries' transport costs when paying E‐Tolls. Market‐clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed. 1 1 TERM is a bottom‐up CGE model designed for highly disaggregated regional data. The Enormous Regional Model's originate from Horridge et al. ( 2005 ) and are better explained in Horridge ( 2011 ).
We concluded that costs from levying E‐Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (?0.404%), gross domestic product (GDP) (?0.01) and consumer price inflation (?0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's.     

深圳市环境事件应急处置服务费用定价方法研究

基于深圳环境形势和应急处置服务的特殊性,总结了环境应急处置服务费用的影响因素及其构成要素,初步研究符合深圳实际的环境应急处置服务费用定价方法。深圳市环境应急处置服务费用包含了4大类、9小类的构成要素及数十项具体收费项目,基本涵盖当前环境应急处置服务的主要内容。列明了大部分项目的计价公式和计价单位,对无法详细列明或难以给出具体收费数额的项目,依据共性原则列出了公式和关键参数,确保有效指导费用的计算。     

Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective

We employ panel data as well as country-specific models to uncover empirically the determinants of current account imbalances. We find evidence of slope heterogeneity likely rendering the fixed-effect estimator inconsistent. Mean group estimation is followed to overcome the latter difficulty. Both estimation techniques are evaluated by means of in- and out-of-sample criteria. The mean group estimator outperforms the fixed-effect approach and, moreover, only three economic variables are found to impact on the current account balance significantly. These are the government budget balance, the domestic output gap and the changes of the terms of trade. We finally propose a parsimonious dynamic model of the current account, including only these variables and illustrate that it has similar predictive accuracy as country-specific benchmark models. JEL no. F32, C23, C53     

我国大麦价格波动特征及其影响因素分析

[目的]大麦价格剧烈波动会直接影响大麦种植户的生产积极性和大麦产业的平稳发展,研究大麦价格波动特征及其影响因素,有助于提升大麦产业链相关主体识别和应对市场风险的能力,促进大麦产业的健康发展。[方法]文章先采用HP滤波法和ARCH类模型分析了2011年4月至2017年2月我国大麦价格波动特征,然后采用脉冲响应函数分析了我国大麦价格波动影响因素。[结果]我国大麦价格波动存在明显的季节性和周期性,样本期内总体上呈现逐渐下降趋势;我国大麦价格具有显著的波动集聚性,我国大麦价格具有显著的不对称性;在该文选择的影响因素中,大麦进口量和国际大麦价格是影响我国大麦价格波动的主要因素。[结论]该文提出必须保障并提高国内大麦合理产能、完善大麦价格监测预警体系、加强国内大麦进口企业整合和推动大麦进口来源多元化的政策建议。     

Urban planning in office markets: A methodological approach

This article stresses the importance of urban planning interventions on real estate office markets in an environment increasingly characterized by globalization processes and progress of information and communication technologies, leaving behind the traditional influence of more market-related variables spread abroad vast literature. It contends that a better indirect control exerted by municipal authorities may launch the performance and characteristics of these markets. Within this scope, an innovative methodology and model are proposed, aimed at assisting municipal decisions in the definition of strategic policies concerning location or relocation of offices, and respective influences over rents. This methodology and this model have a flexible ongoing character that fits the anytime concrete features of local office markets. They are applied, as a case study, to the office market of Oporto city (Portugal). Implications for urban policy are inferred and generalized from this analysis.     

Structural VAR models for Malaysian monetary policy analysis during the pre- and post-1997 Asian crisis periods

This article conducts an in-depth investigation into building a Structural Vector Autoregression (SVAR) model and analysing the Malaysian monetary policy. Considerable attention is paid to: (i) the selection of foreign, policy and target variables; (ii) establish identifying restrictions and improve the estimates of impulse response functions; (iii) assess the importance of intermediate channels in transmitting monetary policy mechanism; and (iv) the way in which the 1997 Asian financial crisis affected the working of monetary policy. Malaysia is an interesting small open economy to study because, following this crisis, the government imposed capital and exchange rate control measures. The overall results suggest that the crisis and the subsequent major shift in the exchange rate regime have significantly affected the Malaysian ‘Black Box’. In the pre-crisis period, domestic variables appear to be more vulnerable to foreign monetary shocks. Further, the exchange rate played a significant role in transmitting the interest rate shocks, whereas credit and asset prices helped to propagate the money shock. In the post-crisis period however, asset prices play a more domineering role in intensifying the effects of both interest rate and money shocks on output, and the economy was insulated from foreign shocks.     

Housing sales in urban Beijing

In the housing market, new properties sometimes experience delays before they are sold. Such delays reflect the preferences of buyers in respect of the homes’ characteristics. Therefore, it is important for managerial purposes to identify the causes of housing sales delays. After analysing the delays in sales of housing in Beijing City, China, the principal finding of this study is that delays are largely explained by the dwellings’ characteristics and location. Policy implications of the research findings, particularly those related to means of reducing the delays, are discussed.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.