ApolloChoiceModelling forum

Hello,

I would like to run MXL model with hurdle component to address serial non-participation for those who "did not play the game".

Can you please advise on how to specify the hurdle framework in Apollo?

Many thanks,

Esraa

Hi

could you be more specific, maybe with some equations?

Thanks

Stephane

The idea of the hurdle model is to use random utility to model respondents who show little utility-evaluating behaviour (non-participants) - and that requires a specification of the behaviour of serial nonparticipants (SNPs).

I came a cross a good paper that explains a blended approach that combines the latent class model and the hurdle model, where the hurdle structure addresses the serial non-participants, while the latent class modelling detects clustered patterns within participants’ response set. I would like to do the same thing with a mixed logit model (instead of latent class).

Here is the paper, https://link.springer.com/article/10.10 ... 20-00434-z
but I will do my best to explain it here as well.

In the paper, the authors specified that a serial non-participant as those who always chooses the status quo. If probability of being
an SNP is modelled with a probit model, we get:
Pr {SNP} = Φ (Zn *se)

where the variance of the residual normalized to 1 and individual characteristics denoted with Zn.

The hurdle framework represent the possibility of a subject always choosing the status quo (SQ) by a summation the two parts:
Pr {All SQ} = Pr {All SQ|P} ∗ (1 − Pr {SNP}) + Pr {All SQ|SNP} ⋅ Pr {SNP}

Hi

sorry about the slow reply

So essentially, this sounds like a two stage model. You could specify both models as components in apollo and multiply them together using apollo_combineModels

Stephane