Search results

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.

To investigate the extent to which disability discourages an individual from going on the job market, using data from an Italian survey.

We use an extended definition of labour force participation based on being employed or currently seeking work even if the persons declare themselves as housewives, students, retired or in any other condition otherwise. We use probit, sequential and multinomial logit models for analysing labour force participation and outcomes. We distinguish between the impact of disability in its strict sense and chronic illness explaining the difference.

In all variants we find that chronic illness is a stronger deterrent for labour force participation than disability. Women are more discouraged compared to men. Intellectual disability is the strongest barrier and hearing the least influential. In a sequential decision-making process, we find that disability affects both labour force participation decision and the ability to be employed but not so much the choice between part-time and full-time.

Policies providing tailored solutions for improved access to education and health care for disabled persons will enhance their work opportunities.

Data set is cross-sectional and characterised by attrition. It would be interesting to compare results with a longitudinal and more representative data set.

We have a unique data set from a survey which was specifically targeted at people who were identified as disabled in a previous survey. The Italian context is also special due to its high legal employment quotas and noncompliance sanctions.

This paper applies the mixed logit and the latent class models to analyse the heterogeneity in foreign investment location choices in Central and Eastern Europe. The empirical results show that the responsiveness of the probabilities of choices to invest in a particular location to country-level variables differs both across sectors and across firms of different characteristics. The paper highlights the superiority of the latent class model with regards to the model fit and the interpretation of results.

Utilizing the 1995 Adult Education Interview compiled by the National Center for Education Statistics, this study examined the determinants of training participation among adult female employees. Drawing on Sterns’s (1986) model of individual decision-making about training, we hypothesized that baby boomer cohorts of women would have higher rates of training participation than younger and older cohorts of women. This hypothesis was confirmed by results on age group variables. We also confirmed that both mandatory continuing education requirements and technological innovation in clerical occupations increased the likelihood of overall training participation among baby boomers, while only mandatory continuing education requirements significantly affected the overall training likelihoods of older and younger cohorts. Findings for disaggregated categories of training suggest that employer-support may be critical to female training participation, especially in lower wage occupations.

In this chapter, we support that pricing carbon emissions policies in aviation might have a lower than expected impact on aviation activity, if such policies are accompanied by investments in environmental technology and an adequate communication strategy by the airlines, which eliminates information asymmetries. Furthermore, we suggest that firms' environmental strategies might be an important advantage in competition. Using orthogonal design techniques, we developed a binary choice experiment, in which carbon emissions are presented to 338 German respondents among other choice-related attributes. Estimating several binary logit models, we are in a position to compute the air travelers' willingness to pay (WTP) for carbon emissions reductions. Findings suggest that passengers consider carbon emissions in their individual airline (itinerary) choice decision, if they receive the corresponding information. We also show that the passengers' WTP for carbon emissions reductions is in line with recent estimates on marginal damage cost. Furthermore, we find that WTP increases for passengers with high environmental sensitivity, whereas it decreases for frequent flyers. Investments in environmental technology and airline commitment for environmental-related firm policy positively influence the passengers' choices. It appears that the average passenger is more sensitive to environmental issues and is willing to pay more for environmental protection than industry officials or policymakers presume.