Researchers frequently face applied situations where their measurement of a binary outcome suffers from bias. Social desirability bias in survey work is the most widely appreciated circumstance, but the strategic incentives of human beings similarly induce bias in many measures outside of survey...

A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of strictly exogenous covariates. The model is of quadratic exponential type and its structure closely resembles that of the dynamic logit model. An economic...

This paper presents an analysis of which functional form of Travel Time Value is appropriate to the estimation with binomial logit random factors model. In order to do this, it will make an estimation methods overview, describing some structured functional forms as Tuong and Hensher (1985) for...

In this paper, we derive estimators of, and closed-form (non-integral) expressions for, the distribution of bids in an extreme value, asymmetric, second-price, private-values auction. In equilibrium, prices (winning bids) and shares (winning probabilities) have a simple monotonic...

The mixed logit is a framework for incorporating unobserved heterogeneity in discrete choice models in a general way. These models are difficult to estimate because they result in a complicated incomplete data likelihood. This paper proposes a new approach for estimating mixed logit models. The...

A traditional discrete choice model assumes that an individual's decision-making process is based on utility maximization and that the systematic part of the utility function depends on some observable attributes and covariates. These attributes and covariates however can only explain part of...

We shed new light on the performance of Berry, Levinsohn and Pakes' (1995) GMM estimator of the aggregate random coefficient logit model. Based on an extensive Monte Carlo study, we show that the use of Chamberlain's (1987) optimal instruments overcomes most of the problems that have recently...

We investigated the determinants of profitability in leasing companies of Pakistan over the period 2006 to 2008. This study has applied Ordinary Least Square (OLS) Model and Logistic (Logit) models for estimation of results. It is found that the size, net investments in leasing finance and...

The logit function is frequently used in the probabilistic choice problem. The justification is usually provided in a manner that actual utility consists of observed utility and Gumbel random term; the probability then becomes logit. In this paper, we present an alternative explanation of the...