EXCHANGE RATE TARGET ZONES: A SURVEY OF THE LITERATURE

This work selectively reviews the literature on exchange rate target zones and their theoretical and empirical methodologies and examines whether they can be used to clarify to what extent this type of exchange rate regime could contribute to greater exchange rate stability. We discuss the main contributions of the first and second generations of exchange rate target zone models. In an attempt to reconcile the poor empirical performance of the Krugman model with the reality of exchange rate target zone regimes, this line of research integrates target zones with alternative underlying economic models, such as imperfect credibility, intra‐marginal interventions and sticky price models. It was thus possible to understand the correlations observed between the exchange rate, its fundamentals determinants and the interest rate differential, and to explain the fact that the statistical distribution of the exchange rate is hump shaped rather than U shaped. This implies that the initial emphasis of target zone models on nonlinearities, ‘honeymoon effect’, ‘smooth pasting’ and marginal interventions has vanished. Exchange rate target zones are better described as similar to managed floating regimes with intra‐marginal interventions, with some marginal interventions when the exchange rate reaches the edges of the floating band.     

Measuring a boom and bust: The Sydney housing market 2001–2006

The Sydney housing market peaked in 2003. The period 2001–2006 is, therefore, of particular interest since it captures a boom and bust in the housing market. We compute hedonic, repeat-sales and median price indexes for five regions in Sydney over this period. While the three approaches are in broad agreement regarding the timing of the turning point in the housing market, some important differences also emerge. In particular, we find evidence of sample selection bias in our hedonic and repeat-sales data sets (with the former focusing more on better quality dwellings and the latter more on lower quality dwellings). These sample selection biases could in turn cause bias (in opposite directions) in our hedonic and repeat-sales indexes. Median indexes may likewise be biased as a result of an apparent decline in the average quality of dwellings sold in the latter part of the sample. We also find evidence of convergence in prices across regions during the boom and divergence in the subsequent bust.     

消费者对生态标识食品的多层面认知行为:基于MVP模型的实证分析

笔者基于山东省693个样本数据,以绿色食品为例,将消费者认知行为划分为知晓、识别与使用三个层面,构建多变量Probit模型,分析在消费者认知程度提高过程中起主要作用的因素。研究发现,男性或年轻受访者在知晓层面的认知率较高,而女性、年长受访者在识别和使用层面的认知率相对较高;收入和卷入程度的影响在知晓层面不显著,而在识别和使用层面显著;学历、子女状况与环境保护意识的影响在各层面皆显著;食品安全意识与信息渠道的影响在较低层面显著,而在较高层面不显著。消费者认知行为的异质性为市场细分与开发提供了空间。厂商应针对不同群体采取差异化营销战略,引导消费者认知行为,促进潜在需求向现实需求转化。     

The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis

The relationship between stock prices and exchange rates has continued to generate interest from both the academia and financial industry players for many years. This study conducts an empirical investigation into the relationship between stock prices and exchange rates for the two largest economies in Sub-Saharan Africa – South Africa and Nigeria. Our methodology accounts for structural breaks in the data and the long-run relationship between stock and foreign exchange markets. The results of multivariate causality tests with structural breaks showed that causality runs from exchange rates to domestic stock prices in Nigeria (flow channel) while in South Africa, no causality exists between domestic stock prices and exchange rates. The results also reveal that there is causality from the London stock market to both countries’ stock markets, thus showing that international stock markets are driving both the Nigerian and South African stock markets.     

Policies for managing peak stock of food grains for effective distribution: A case of the Indian food program

The Indian food program has encountered a significant shortfall in storage due to slow expansion of storage facilities in comparison with procurement. The open storage of food grains results in substantial loss and deterioration of quality. While increasing storage capacity is a viable but costly and time consuming option, the adoption of policies for peak storage reduction would go a long way towards effective food grains management. On this background, this study proposes policy adoption for peak storage reduction for effective inventory management. A dynamic simulation model was built by replicating the complex flow process and incorporating the process variability for finding the bottleneck and significant factors. It was found that steep wheat procurement is the critical bottleneck factor for peak storage requirements. Two practical and straightforward, yet effective policies are proposed from the few existing strategies for peak storage reduction owing to the constraints associated with the food program. With the actual data of the food program, reduction in peak stock was estimated for the recommended policies, including the operational cost saving in storage. The practical implications of these policies within the system were also discussed. Through peak reduction, the use of open storage can be significantly reduced, and this leads to better food grains management for effective food distribution.     

Impact of off-farm income on food security and nutrition in Nigeria

While the poverty implications of off-farm income have been analyzed in different developing countries, much less is known about the impact of off-farm income on household food security and nutrition. Here, this research gap is addressed by using farm survey data from Nigeria. Econometric analyses are employed to examine the mechanisms through which off-farm income affects household calorie and micronutrient supply, dietary quality, and child anthropometry. We find that off-farm income has a positive net effect on food security and nutrition. The prevalence of child stunting, underweight, and wasting is lower in households with off-farm income than in households without. Using a structural model, we also show that off-farm income contributes to higher food production and farm income by easing capital constraints, thus improving household welfare in multiple ways.     

倾销幅度测算中的偏颇之处

倾销幅度测算是裁定倾销以及实施反倾销措施的依据和基础。然而,具体操作过程中存在的偏颇之处,使得调查结果总是倾向发现“倾销幅度”,从而裁定倾销存在。本文以倾销幅度测算过程中的不合理之处为分析对象,举例说明了在很多情况下,原本不存在的倾销行为,是如何在现行的规定下被测算出了“倾销幅度”。     

Forecasting stock prices with commodity prices: New evidence from Feasible Quasi Generalized Least Squares (FQGLS) with non-linearities

The complexities in modern stock markets make it imperative to unravel the possible predictors of their future values. This paper thus provides insights into the predictability of stock prices of the BRICS countries with large dependence on commodities either for foreign exchange earnings or industrial while accounting for the role of asymmetries. Essentially, empirical evidence abound for the high volatility in world commodity markets, thus making us to determine if positive and negative changes in commodity prices predict stock prices differently. In addition, unlike the traditional forecast models, our choice of forecast models additionally addresses certain statistical features, including conditional heteroskedasticity, serial dependence, persistence and endogeneity, inherent in the predictors, which have the potential of causing estimation bias. In all, we find evidence in favour of the ability of commodity prices to predict stock prices of Brazil, Russia and South Africa. Also, both the in-sample and out-of-sample forecast performances of the predicted models support asymmetries in a number of commodity prices in each of these three countries. Our results are robust to different data samples and forecast horizons.     

Cross-national adoption of private food quality standards

Retailer initiated food quality standards are important elements to market food and agricultural products. However, farmers’ certification proceeds at an unequal speed worldwide with some countries representing a large number of certified producers and others representing very few, if any. This study aims at analysing the adoption of two private food standards, BRC Food Technical Standard and GlobalGAP, at an aggregated cross-country level using data of 2007. Negative binomial models are applied to quantify the determinants of standards’ spread at an aggregated level. The results of the econometric analysis reveal some (potential) barriers for farms and firms in developing countries to access this type of organisational innovation. Certificates of both standards seem to be issued more likely in countries with established trade relations with Germany, the Netherlands and the United Kingdom, home countries of the standards. Furthermore, larger countries and countries with better institutional quality host more certified firms. Finally, a country’s level of economic development displays a clear non-monotonic relationship to the number of certified enterprises. Although no evidence for a general exclusion of developing countries can be found, the main implication of this paper is that third-party certification for export purposes seems to reinforce already existing trade relations, potentially hampering new entrants.     

The heterogenous relationship of food stamp participation with body mass: Quantile regression model

This study explores the heterogenous relationship between Food Stamp Program (FSP) participation and body mass index (BMI) for low income individuals whose per capita family income falls in the bottom two quintiles. We estimate changes in the dispersion of the entire distribution of BMI following FSP participation using a quantile regression model in both cross-sectional and longitudinal analyses. For women, we find that the mean OLS estimate of FSP participation underestimates the extent of the positive association with BMI at the top quantiles in both cross-sectional and longitudinal individual fixed effects models. Controlling for individual fixed effects in the quantile regression model reduces the estimated magnitude of the association by a factor of three to four, although the estimates remain statistically significant for women. For men, a marginally statistically significant positive association of FSP participation with BMI is found at the top quantiles compared to no statistically significant mean estimate although the association is no longer statistically significant when time-constant individual heterogeneity is adjusted for in the individual fixed effect models.