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.     

Small and Medium Enterprise Financing in Transition Economies

This paper studies the financing status of small and medium enterprises (SMEs) in transition economies. Factors causing financing obstacles are indentified and further analyzed to determine their influence over financing patterns. Bank regulatory practices relevant to SMEs’ access to bank loans and their influence over loan structures are identified. This study contributes to the existing body of knowledge by exploring the impact of specific bank regulatory practices on credit lending to SMEs in transition economies.     

Financial Globalization and Banking Crises in Emerging Markets

Bank crises in emerging economies have been a feature of the recent global crisis, and their incidence has increased in the post-Bretton Woods era. This paper investigates the impact of financial globalization on the incidence of systemic bank crises in 20 emerging markets over the years 1976–2002 using measures of de facto and de jure financial openness. An increase in foreign debt liabilities contributes to an increase in the incidence of crises, but foreign direct investment and portfolio equity liabilities have the opposite effect. A more liberal de jure capital regime lowers the incidence of banking crises, while a regime of fixed exchange rates increases their frequency. The results of the econometric analysis is consistent with the experience of East European and central Asian emerging markets, which attracted a relatively large proportion of capital flows in the form of debt in recent years and have been particularly hard hit by the global financial crisis.     

Inflation and Welfare in Latin America

This paper follows Bailey (J Polit Econ 64:93–110, 1956) and Lucas (Econometrica 68:247–274, 2000) and estimates the welfare cost of inflation for 17 Latin American economies. We use annual data, from 1955 to 2000, and recent advances in the field of applied econometrics to estimate the inflation rate elasticity of money demand and report significantly high and differential welfare cost estimates for these economies.