Fig. 2: Line indicating the log-likelihood to stop obtained by a regression with a generalised additive model including all parameters, with the exception of revenues accumulated and hours worked which were chosen as variables to smooth over. | Humanities and Social Sciences Communications

Fig. 2: Line indicating the log-likelihood to stop obtained by a regression with a generalised additive model including all parameters, with the exception of revenues accumulated and hours worked which were chosen as variables to smooth over.

From: A stochastic prediction of minibus taxi driver behaviour in South Africa

Fig. 2

Hour fixed effects were included. 95% confidence interval included. Smoothing parameter of 7.59 chosen for accumulated revenues and 1.322 for hours worked. See more particular regression results for smooth terms in Table A.5. Source: Own representation, Data: GoMetro (2017).

Back to article page