The generalized nested logit model is a new member of the generalized extreme value family of models. The GNL provides a higher degree of flexibility in the estimation of substitution or cross-elasticity between pairs of alternatives than previously developed generalized extreme value models. The generalized nested logit model includes the paired combinatorial logit and cross-nested logit model...

This paper presents a novel deep learning-based travel behaviour choice model. Our proposed Residual Logit (ResLogit) model formulation seamlessly integrates Deep Neural Network (DNN) architecture into multinomial logit Recently, DNN models such as the Multi-layer Perceptron (MLP) and Recurrent (RNN) have shown remarkable success in modelling complex noisy behavioural data. However, econometric...

abstract t his paper explains bilateral trade patterns between south korea and thirteen opec member countries over the period 1980-2014 using a gravity model. the estimation results show that the gravity equation fits the data reasonably well. we confirmed the existence of long term relationships between the bilateral trade flows and the main components of gravity model - gdp, income (gdp per c...

The mixed logit model is considered to be the most promising state of the art discrete choice model currently available. Increasingly researchers and practitioners are estimating mixed logit models of various degrees of sophistication with mixtures of revealed preference and stated preference data. It is timely to review progress in model estimation since the learning curve is steep and the unw...

the objective of this study was to assess the level of knowledge of the turkish farmers with regard to fertilizer usage. farmers in the kazova district of turkey's tokat province were interviewed regarding their soil maintenance practices. the interview was based on a standardized questionnaire the answers being recorded at the time of interview. simple random sampling method was used to de...

Motivated by generating personalized recommendations using ordinal (or preference) data, we study the question of learning a mixture of MultiNomial Logit (MNL) model, a parameterized class of distributions over permutations, from partial ordinal or preference data (e.g. pair-wise comparisons). Despite its long standing importance across disciplines including social choice, operations research a...

The mixed logit model is considered to be the most promising state of the art discrete choice model currently available. Increasingly researchers and practitioners are estimating mixed logit models of various degrees of sophistication with mixtures of revealed preference and stated choice data. It is timely to review progress in model estimation since the learning curve is steep and the unwary ...

Using panel data spanning 15 years, this paper investigates the persistence and correlates of subjective and consumption poverty in urban Ethiopia. Despite the decline in consumption poverty in recent years, which has been linked to rapid economic growth, subjective poverty has remained largely unchanged. Dynamic probit regression results show that households with a history of past poverty cont...

In a polygamous society, all monogamous women are virtually at risk of polygamy. However, both the anthropological and economic literature are silent on the potential impact of the risk of polygamy on economic decisions of monogamous wives. We explore this issue for Senegal using individual panel data. We first estimate a Cox model for the probability of transition to polygamy. Second, we estim...

This paper considers models for panel data in which the individual effects vary over time. The temporal pattern of variation is arbitrary, but it is the same for all individuals. The model thus allows one to control for time-varying unobservables that are faced by all individuals (e.g., macroeconomic events) and to which individuals may respond differently. A generalized within estimator is con...