A growing body of empirical literature uses structurally-derived economic models to study the nature of competition and to measure explicitly the economic impact of strategic policies. While several approaches have been proposed, the discrete choice demand system has experienced wide usage. The heterogeneous, or ‘‘mixed’’, logit in particular has been widely applied due to its parsimonious stru...

We examine several approaches for inferring logit models from empirical margins of predictor covariates and conditional margins containing the means of a binary response for each covariate margin. One method is to fit proxy data to the conditional response using the beta distribution, a process we call “margin analysis.” Proxy data can obtained using three approaches: (1) implementing the itera...

The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To test the impact of the choice of cut-off points and sampling procedures, three bankruptcy predict...

Abstract Logit Model is an important method for empirical analysis of multi-source data. In order to explore the traffic safety mechanism, The Paper taked behavior data as example, researched personal characteristics truck drivers, Analyzed influence driver’s traits on violations. Based binary logistics regression model, model violations was established. results show that personality, license l...

A growing body of empirical literature uses structurally-derived economic models to study the nature of competition and to measure explicitly the economic impact of strategic policies. While several approaches have been proposed, the discrete choice demand system has experienced wide usage. The heterogeneous, or ‘‘mixed’’, logit in particular has been widely applied due to its parsimonious stru...

The paper is devoted to deepening the academic basics using forecasting modeling methods determine predictors of enterprises’ success. A startup as a form entrepreneurship important today due ability maintain sustainability economic system through flexible response challenges. startup’s potential for receiving external, direct venture financing from other counterparties forits sustainable devel...