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Interest in car-sharing initiatives, as a tool for improving transport network efficiency in urban areas and on interurban links, has grown in recent years. They have often been proposed as a more cost effective alternative to other modal shift and congestion relief initiatives, such as public transport or highway improvement schemes; however, with little implementation in practice, practitioners have only limited evidence for assessing their likely impacts.

This study reports the findings of a Stated Preference (SP) study aimed at understanding the value that car drivers put on car sharing as opposed to single occupancy trips. Following an initial pilot period, 673 responses were received from a web-based survey conducted in June 2008 amongst a representative sample of car driving commuters in Scotland.

An important methodological aspect of this study was the need to account for differences in behaviour to identify those market segments with the greatest propensity to car share. To this end, we estimated a range of choice model forms and compared the ability of each to consistently identify individual behaviours. More specifically, this included a comparison of:

Standard market segmentation approaches based on multinomial logit with attribute coefficients estimated by reported characteristics (e.g. age, income, etc.);

A two-stage mixed logit approach involving the estimation of random parameters logit models followed by an examination of individual respondent's choices to arrive at estimates of their parameters, conditional on know distributions across the population (following Revelt & Train, 1999); and

A latent-class model involving the specification of C classes of respondent, each with their own coefficients, and assigning each individual a probability that they belongs to a given class based upon their observed choices, socioeconomic characteristics and their reported attitudes.

As hypothesised, there are significant variations in tastes and preferences across market segments, particularly for household car ownership, gender, age group, interest in car pooling, current journey time and sharing with a stranger (as opposed to family member/friend). Comparing the sensitivity of demand to a change from a single occupancy to a car-sharing trip, it can be seen that the latter imposes a ‘penalty’ equivalent to 29.85 IVT minutes using the mixed logit structure and 26.68 IVT minutes for the multinomial specification. Segmenting this latter value according to the number of cars owner per household results in ‘penalties’ equivalent to 46.51 and 26.42 IVT minutes for one and two plus car owning households respectively.

Research on strategic choices available to the firm are often modeled as a limited number of possible decision outcomes and leads to a discrete limited dependent variable. A limited dependent variable can also arise when values of a continuous dependent variable are partially or wholly unobserved. This chapter discusses the methodological issues associated with such phenomena and the appropriate statistical methods developed to allow for consistent and efficient estimation of models that involve a limited dependent variable. The chapter also provides a road map for selecting the appropriate statistical technique and it offers guidelines for consistent interpretation and reporting of the statistical results.

Peers and friends are among the most influential social forces affecting adolescent behavior. In this chapter, the authors investigate peer effects on post high school career decisions and on school choice. The authors define peers as students who are in the same classes and social clubs and measure peer effects as spatial dependence among them. Utilizing recent developments in spatial econometrics, the authors formalize a spatial multinomial choice model in which individuals are spatially dependent in their preferences. The authors estimate the model via pseudo maximum likelihood using data from the Texas Higher Education Opportunity Project. The authors do find that individuals are positively correlated in their career and college preferences and examine how such dependencies impact decisions directly and indirectly as peer effects are allowed to reverberate through the social network in which students reside.

Uses qualitative response models of occupational choice to investigate differences in the occupational structures of minority workers relative to white men. Compares the accuracy of multinomial logit and multiple discriminant analyses in predicting occupational distributions. Further, investigates whether these models yield consistent estimates of the level of occupational segregation of minority workers. The results suggest that logit and discriminant analysis are equally accurate and stable methods for comparing occupational structures across groups of workers.

The automobile industry is a key contributor to the GDP in most developed countries. Whilst studies have mainly focused on new car markets, this research aims to investigate how consumers' socio-demographic profile impacts on the decision to buy used or new cars across different automobile segments.

The study focuses on a major car market in Europe, France. The data were obtained from the French Institute of Statistics (INSEE), consisting of a representative sample of 1,967 French households who bought a new or used car within a year of this study. The paper is based on random utility theory and applies multinomial logit modeling.

The findings suggest that economic, individual, household characteristics impact on car segment choice, as well as the decision of whether to buy a new or a used car.

This is one of the few studies investigating the demand for new and used cars in conjunction across car segments in a European context. It provides important insights into consumer choice in a mature market.

At the beginning of the 20th century, three intertwined ambitions drove federal legislation over wildlife and biodiversity: establishment of multiple-use federal lands, the economic development of natural resources, and the maintenance of option values. We examine this federal intervention in natural resource use by analyzing roll call votes over the past century with a Random Utility Model (Manski, 1977) and conclude that economics mattered. So did ideology, but not uniformly. After World War II, the pro-environment vote which had been conservative shifted to being liberal. All these votes involved decisions regarding public land that reallocated the returns to users by changing the asset’s physical character or its usage rights. We suggest that long-term consequences affecting current resource allocations arose from disparities between broadly dispersed benefits and locally concentrated socioeconomic and geophysical (spatial) costs. We show that a primary intent of public land management has become to preserve multiple-use option values and identify important factors in computing those option values. We do this by demonstrating how the willingness to forego current benefits for future ones depends on the community’s resource endowments. These endowments are defined not only in terms of users’ current wealth accumulation but also from their expected ability to extract utility from natural resources over time.

This paper aims to study the relation between the employment of mothers and the activities of children with the aim of contributing to the understanding of child work in India.

Multinomial logit specifications of children's activities and mothers' employment are estimated on survey data drawn from the National Family Health Survey 1998‐1999 for all India. The joint specification combines four states of children aged 6‐14 (studying, working in the market, working for the family or being inactive) with the employed/not employed status of mothers.

The results show that the mother's preferred choice is not working and sending children to school. This is especially true for more educated mothers. Also the father's education is positively (negatively) related to child schooling (work), but the effect is smaller as compared to that of mothers. All specifications yield the result that the probability of children working increases if their mothers work. Higher levels of household wealth play a fundamental role in lowering the risk of child work.

This empirical model does not take into account the unobserved heterogeneity of two types – namely, the residual correlation among the outcomes of mothers and children, and the residual correlation among children of the same mother.

The evidence that children of employed mothers have a higher risk of working suggests that the problem may be related to the low quality and pay of jobs accessible to women in India, especially in rural areas. The policy indication would then be to improve the condition of women in the labour market and also to improve the welfare of their children.

While women's and children's time allocation has been studied in separate settings, in this paper these two aspects are analysed together for the first time.

With this study we investigate the preferences of an important category of consumers of organic products (regular consumers of organic food or RCOFs) allowing for preference heterogeneity. A survey instrument was developed to elicit preferences for important qualitative and quantitative attributes of extra virgin olive oil. The survey was administered via questionnaire to a random sample of 198 RCOFs in organic food stores of Naples, Italy. The choice task was organised around a fractional factorial main effects orthogonal design. Each respondent made eight choices to rank‐order nine product profiles in terms of their individual preference. Product attributes included price, origin of production, type of certification and visual appearance. Interestingly, the set of observed responses appears to display significant preference heterogeneity for origin of production and price. Once heterogeneity and correlation among repeated choice by the same respondent are accounted for by means of random‐parameter panel logit models, the fit increases dramatically with respect to the more restrictive fixed‐parameter logit models. Results also suggest that price plays an important role as quality proxy, while visual appearance is not significant in preference modelling and the type of certification programme has a fixed effect.

COVID-19 has had various effects on women’s labour supply worldwide. This study investigates how women’s labour market outcomes in the MENA region have been affected by the stringency of governments’ COVID-19 responses and school closures. We examine whether women, particularly those with children at young age, reduced their labour supply to take care of their families during the pandemic.

To investigate whether having a family results in an extra penalty to women’s labour market outcomes, we compare single women to married women and mothers. Using the ERF COVID-19 MENA Monitor Household Surveys, we analyse the key conditions underlying women’s labour market outcomes: (1) wage earnings and labour market status including remaining formally employed, informally, unpaid or self-employed, unemployed or out of the labour force and (2) becoming permanently terminated, being suspended, seeing a reduction in the hours worked or wages, or seeing a delay in one’s wage payments because of COVID-19. Ordered probit and multinomial logit are employed in the case of categorical outcomes, and linear models for wage earnings.

Women, regardless of whether they have children or not, appear to join the labour market out of necessity to help their families in the times of crisis. Child-caring women who are economically inactive are also more likely to enter the labour market. There is little difference between the negative experiences of women with children and child-free women in regard to their monthly pay reduction or delay, or contract termination, but women with children were more likely to experience reduction in hours worked throughout the pandemic.

These findings may not have causal interpretation facilitating accurate inference. This is because of potential omitted variables such as endogenous motivation of women in different circumstances, latent changes in the division of domestic work between care-giving and other household members, or selective sample attrition.

Our analysis explores the multiple channels in which the pandemic has affected the labour outcomes of MENA-region women. Our findings highlight the challenges that hamper the labour market participation of women, and suggest that public policy should strive to balance the share of unpaid care work between men and women and increase men’s involvement, through measures that support child-bearing age women’s engagement in the private sector during crises, invest in childcare services and support decent job creation for all.

Examines recent innovations in the UK mortgage market and links these to the theoretical and empirical literature on the choice of mortgage instrument by households. Low inflation rates and employment insecurity have led to a demand for more flexible payment and amortization scheduling. Estimates a multivariate logit and a probit model to highlight the underlying determinants of amortization rates (mortgage maturity) from 1987 to 1991. Sees affordability criteria and the susceptibility of a household to financial problems as important determinants of extended mortgage maturities while the absence of these problems encourages shorter maturities, consistent with lifecycle behaviour. These choices provide the underpinnings to subsequent mortgage market innovations.