Microsimulation is a rapidly expanding area of spatial modelling, which seems to offer great potential for applied policy analysis. However, currently there is considerable debate on the most appropriate methodology for estimating micro-data. Household or individual attribute data can

This empirical study of the Metro Danshui Line in Taipei analyzed the attributes of households residing in “areas with significant attributes of TOD built environment” (TOD+) by applying a questionnaire survey and binary logit model. The empirical results were the following: household income

This empirical study of the Metro Danshui Line in Taipei analyzed the attributes of households residing in “areas with significant attributes of TOD built environment” (TOD +) by applying a questionnaire survey and binary logit model. The empirical results were the following: household income

This empirical study of the Metro Danshui Line in Taipei analyzed the attributes of households residing in “areas with significant attributes of TOD built environment” (TOD +) by applying a questionnaire survey and binary logit model. The empirical results were the following: household income

costs. ALTHOUGH MUCH ACADEMIC RESEARCH on mutual funds addresses issues of performance measurement and attribution, we can learn more from this industry than whether fund managers can consistently earn risk-adjusted excess returns. Researchers studying funds have shed light on how incentives affect fund

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is attributable to significantly higher labor and fertilizer inputs per acre on plots controlled by men. These results contradict the Pareto efficiency of resource allocation within the household. Production function estimates imply that about six percent of output is lost due to the misallocation of variable

(ii) development of

This paper develops a framework for estimating household preferences for school and neighborhood attributes in the presence of sorting. It embeds a boundary discontinuity design in a heterogeneous residential choice model, addressing the endogeneity of school and neighborhood characteristics

and car ownership decisions. The model formulation takes the form of a joint mixed multinomial logit-ordered response structure that (a) accommodates differential sensitivity to the built environment and transportation network variables due to both demographic and unobserved household attributes and (b