For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D- or D1-efficiencies, taken over a certain range of the non-linear parameters. It is demonstrated that the derived designs yield a satisfactory solution of the optimal design problem for this...

This paper examines the factors that influence the waste generation and willingness to minimise solid waste in Dhaka city, Bangladesh. Information on waste generation, willingness to minimise, socio-economic characteristics, and behaviour of the households towards solid waste management were...

This paper analyzes the determinants of firm migration in the Swedish wholesale trade sector using a unique dataset covering over 10,000 Swedish wholesale trade firms during the years 2000 – 2004. The results indicate that there are negative correlations between profits, firm age, and firm...

This paper explores both observable and unobservable variables that would affect employed workers decisions on job change. We find that age, job satisfaction, satisfaction with working environment or job security, and firm size are among the major factors determining workers intentions of...

This paper uses the logistic regression model and the count data model to identify the determinants of the likelihood and frequency of attendance at performing arts events in Taiwan. Using data collected from a telephone survey, we find that education and income, being determinants of the...

This study employs the logistic regression method to examine the effect of financial inclusion on the level of poverty in Niger State of Nigeria based on cross-sectional data randomly collected from 624 respondents across 224 towns and villages in 12 local government areas (LGAs) of the state....