The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

This paper analyzes a closed linear polycentric city with homogenous households who probabilistically select their workplace and residence locations. The study utilizes a continuous logit model to describe household location choices. In contrast to the classic urban model with deterministic...