Question: Use the Koppelman dataset. Estimate a nested logit model similar to those reported in Table 26.1 but with the following modifications. For each case report

Use the Koppelman dataset. Estimate a nested logit model similar to those reported in Table 26.1 but with the following modifications. For each case report the estimated coefficients and standard errors for the cost and time variables, the log-likelihood, and describe how the results change.

(a) Replicate the results of Table 26.1 for nested logit with the same variables. Note: You will need to constrain the dissimilarity parameter for {train, bus}.

(b) Replace cost and intime with log(cost) and log(intime).

(c) Use the groupings {car} and {train, bus, air}. Why (or why not) might this nesting make sense?

(d) Use the groupings {air} and {train, bus, car}.Why (or why not)might this nesting make sense?

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