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.     

Measuring the Foreign Exchange Premium and the Premium for Non‐Tradable Outlays for 20 Countries in Africa

In this paper, we develop an analytical general equilibrium framework to measure the foreign exchange premium and the premium for non‐tradable outlays for a country. The framework allows us to capture in a consistent manner the impacts of the sourcing of funds and their expenditure on tradable and non‐tradable goods and services of investment projects. An application of the model is carried out for 20 countries in Africa. The results show that the foreign exchange premiums range from 2.4% to 9.0% and the premium for non‐tradable outlays from ?0.7% to 2.9%. The empirical values depend on a number of factors, including the indirect taxes, production subsidies and international trade distortions of a country. These premiums should be incorporated into the economic evaluation of investment projects.     

AN APPLIED IRR MODEL FOR A LEVERED PROJECT IN THE PRESENCE OF INFLATION

An inflation-adjusted IRR model for the appraisal of levered projects is developed within the supply side studies framework by using the tax approach. An empirical test of the model on industrial projects has indicated that the general pattern of the project rankings was not significantly affected in the presence of inflation. However, the shifts in the ranks of the individual projects and over-and-under biases in the traditional accept decisions are observed. Further, all the projects have shown a magnified impact of financial leverage on the IRRs.     

Predictability of Emerging Market Local Currency Bond Risk Premia

This article investigates the source of predictability of emerging market (EM) local currency bond risk premia by using a dynamic factor approach based on a large panel of economic and financial time series. We find strong predictable variation in EM local currency excess bond returns that is associated with macroeconomic activity. We provide evidence that the main predictor variables are the factors based on real economic activity that are highly correlated with measures of industrial and manufacturing production; however, factors based on global financial factors also contain information about the future local currency bond returns. The predictive power of the extracted factors is both statistically significant and economically important. Our research has important implications for policymakers and pension fund managers.     

Is market learning the missing link between family involvement – firm performance relationship? A resource-based perspective

Drawing on previous literature on proposing that there exists a positive relationship between family involvement and firm performance, this study refines the explanatory role of market learning in explaining the relationship between family involvement and firm performance to be conditional to firm age and environmental turbulence. The data from 344 small-medium enterprises show that family involvement is positively related to market exploitation while family involvement is negatively related to market exploration as family firms age. Also, we provide empirical evidence that family involvement is positively related to firm performance in turbulent environments through market exploration irrespective of the firm’s age. Conversely, family involvement is positively related to firm performance through market exploitation in less turbulent environments irrespective of firm age. This study provides empirical evidence of the market exploration and exploitation capabilities may be the capabilities that glue family involvement to firm performance.     

How does the economic policy uncertainty affect the relationship between financial slack and firm performance in emerging countries?

This study investigates the moderating effect of economic policy uncertainty (EPU) on the relationship between slack resources and firm performance in emerging countries. By using 47,523 firm-year observations from seven emerging market economies through the period of 2010–2018, the results show an inverse U-shaped relationship between slack resources and firm performance. The findings also demonstrate that EPU acts as a negative moderator for the slack–performance relationship. In high EPU environments, the marginal benefit from one additional unit of slack is smaller relative to low EPU environments. This study contributes to the slack resources-firm performance literature by emphasizing the role of the broader external environment as a moderator.