Purpose The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors …’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To … account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any …

misclassification errors in students' self-reported attitudes. We develop a binary choice model with misclassification and social …

/2017 academic session. To analyze the data, descriptive statistics, chi-square test, principal component factor analysis, and binary …

of 10 stocks comprising MBI-10. Binary Loss Function (BLF) is employed to measure accuracy of VaR calculations, because …

-invariant) entry costs and estimates the size of such costs rationalizing firm behavior using semi-parametric binary quantile … regressions. Comparing binary quantile results with probit estimates shows that high average transaction costs result from a …

-headed households were more food secure than female-headed households. The result of the binary logistic regression revealed that …

This study examines the effects of initial endowment size on individual behavior in a binary choice game with no …

. Departing from the classic binary response static panel data model, this paper examines identification in the binary response …