Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Forecasting stock market volatility and information content of implied volatility index

This study investigates the incremental information content of implied volatility index relative to the GARCH family models in forecasting volatility of the three Asia-Pacific stock markets, namely India, Australia and Hong Kong. To examine the in-sample information content, the conditional variance equations of GARCH family models are augmented by incorporating implied volatility index as an explanatory variable. The return-based realized variance and the range-based realized variance constructed from 5-min data are used as proxy for latent volatility. To assess the out-of-sample forecast performance, we generate one-day-ahead rolling forecasts and employ the Mincer–Zarnowitz regression and encompassing regression. We find that the inclusion of implied volatility index in the conditional variance equation of GARCH family model reduces volatility persistence and improves model fitness. The significant and positive coefficient of implied volatility index in the augmented GARCH family models suggests that it contains relevant information in describing the volatility process. The study finds that volatility index is a biased forecast but possesses relevant information in explaining future realized volatility. The results of encompassing regression suggest that implied volatility index contains additional information relevant for forecasting stock market volatility beyond the information contained in the GARCH family model forecasts.     

THE RELATIONSHIP BETWEEN THE BLACK MARKET AND OFFICIAL EXCHANGE RATES: AN EXAMINATION OF LONG-RUN DYNAMICS IN INDIA

This study is the first to use Johansen's cointegration approach for India in the analysis of the long‐term dynamics between the black and official exchange rates for the period 1953–1993. The study also estimates the long‐run elasticity of the official rate with respect to the black market rate. As monthly data over 40 years are used, and a more robust methodology is employed, the results are likely to be more reliable as compared with the earlier work on India. The results of our study suggest that while there is a long‐term relationship between the two rates, the direction of causality is from the black rate to the official exchange rate. This is plausible in the Indian context where policy has generally lagged behind events in the black market. The hypothesis of a constant black market premium is rejected, implying that there is a mismatch between the percentage change in the official exchange rate and the percentage change in the black market rate.     

Capital Inflows and the Real Exchange Rate: A Comparative Study of Asia and Latin America

The nexus of real exchange rate (RER) and capital inflows is examined through a comparative analysis of the experiences of emerging market economies in Asian and Latin America during the period 1985‐2000. It is found that the degree of appreciation in RER associated with capital inflow is uniformly much higher in Latin American countries compared to their Asian counterparts, despite the fact that the latter experienced far greater foreign capital inflows relative to the size of the economy. The econometric evidence suggests that both the composition of capital flows and differences in the degree of response of RER to capital flows matter in explaining these contrasting experiences. While RER appreciation is a phenomenon predominantly associated with other (non‐FDI) forms of capital inflows (OCFW), a given level of OCFW brings about a far greater degree of appreciation of the real exchange rate in Latin America where the importance of these flows in total capital inflow is also far greater. On the policy front, Asian countries seem to have used fiscal contraction and nominal exchange rate adjustment more effectively to cushion the RER against the appreciation pressure of capital inflows. There is, however, no evidence to suggest that sterilised intervention can generate a lasting impact on the real exchange rate.     

Testing export-led growth in Bangladesh in a multivarate VAR framework

Although the link between trade and growth has long been discussed, systematic empirical investigation of the relationship has been undertaken only relatively recently. A number of time-series studies exist for individual countries in the area of export-led growth, but for Bangladesh there has been little work in this area. This study seeks to bridge an important gap in the literature, and is perhaps the first to use Johansen's multivariate framework taking the terms of trade as an additional variable for Bangladesh. The findings suggest that the direction of both long and short-term causality is from income to exports. This result is hardly surprising as, for most of the period covered, Bangladesh has followed an inward-looking strategy of development that discriminated against exports.     

Mexico's development strategy for the 1980s

In examining the problems and prospects of the Mexican economy in the 1980s. the main concern of this paper is whether Mexico will use its new found wealth to correct some of the major deficiences of past policies or whether the development of the energy sector will further increase the dualism between the modern and traditional sectors. This paper surveys the major problems now facing the economy (poverty and unemployment, declining agricultural production, a weak industrial base, inflation) and then discusses the framework in which Mexico proposes to deal with these problems, in particular the priority allocated to development of oil and gas. The policies are then compared briefly with the experience of Japan and Iran. The conclusion takes a critical view of current Mexican policies and suggests that a more equity-oriented and efficient growth strategy is required.     

Business Incubators in China: A Financial Services Perspective

The business incubation industry in China has been booming since the mid-1990s. However, the lack of a well-developed financial services sector has become a major bottleneck to the growth of the industry. Based on our visits to 12 Chinese business incubators around the country and interviews with their executives, we present our perspective on the state of the incubator industry in China with special emphasis on incubators' financial services for their incubatees.     

Postservice Recovery Customer Satisfaction in Indian Retail Banking: Scale Development and Validation

The construct of postservice customer satisfaction with respect to Indian retail banking has been studied. Furthermore, the development and validation of the postservice recovery customer satisfaction scale in Indian retail banking is detailed. The scale development process was carried out over three stages (item generation, scale purification, scale validation) and comprised of conducting depth interviews and focus groups for item generation and three separate phases of data collection, involving a total of 851 individual respondents. The data provide evidence for face, content, discriminant and convergent validity, dimensionality, reliability, and generalizability of the customer satisfaction scale in Indian retail banking.     

Investigating the different approaches to importance–performance analysis

Importance–performance analysis (IPA) is an analytic technique that generates a two-dimensional importance–performance grid, where the values of importance and performance across attributes are plotted against each other. This technique is used to assist service and other firms in prioritizing areas for service improvement when resources are limited. This study contributes to service theory by first performing a comprehensive literature review of four different and commonly used approaches to IPA. Survey data from the ports sector are then used to elucidate the value and the distinctiveness of these four different approaches, and it is also shown how the underlying theoretical assumptions led to somewhat varying, and contradictory interpretations. Subsequently, novel guidelines for integrating results from these four different approaches are proposed. The study advances service theory by detailing the integration of the different approaches to make sense of the importance and performance of diverse service attributes. The integrative approach developed in this paper also provides practitioners with clearer guidance for the application of IPA.