Fig. 1: 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. 1: 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. 1

No hour fixed effects were included. 95% confidence interval included. Smoothing parameter of 2.47 chosen for accumulated revenues and 5.51 for hours worked. See more particular regression results for smooth terms in Table A.4. Source: Own representation, Data: GoMetro (2017).

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