Women’s intra-household care burden is one of the main reasons behind women’s low employment rates in Turkey. Many empirical studies have tested this relationship by focusing on the existence of dependent household members, if any. They have largely overlooked the use of care services and the time spent on caring for dependent household members to evaluate women’s care burden.

The purpose of this study is to examine the relationship between women’s care burden and employment prospects and status in Turkey from the perspective of access to care services and the time dimension of the care burden. This relationship is analyzed through the logit model by using latest available data from the 2014–2015 Time Use Survey. The article shows that the time spent by women caring for dependent household members, and access to care services, are the most important factors influencing women’s employment probability in Turkey. Benefiting from informal childcare services increases the employment probability of women approximately twenty-seven times, while benefiting from formal childcare services increases two times and informal adult-care services 2.6 times. Ensuring the accessibility of institutional care services improves women’s employment status by enabling women’s transition from part-time to full-time jobs, and from unskilled to professional jobs.

Farm-to-hospital (FTH) programs can potentially improve the economy of local communities and preserve the environment. Research on adoption of farm-to-hospital (FTH) programs is extremely limited in the agricultural and applied economics literature. Using data from our 2012 regional FTH program survey of hospital food-service directors in the Northeastern United States and from the U.S. Department of Agriculture, this study estimates a logit model to determine factors that influence a hospital's decision to adopt an FTH program. The empirical results indicate that specific hospital characteristics and agricultural factors significantly influence a hospital's decision to adopt.

Using a national farm survey, this study estimates a logit model to identify factors affecting U.S. farmers' participation in agritourism. Of the dummy variables, public access to the farm for recreation has the greatest positive impact, followed by farms near central cities, farms in Rocky Mountain and Southern Plains regions, farmers with college education, farmers paying for farm advice, farms organized as partnerships/corporations, farms enrolled in conservation programs, and farmers with access to the internet. Continuous variables affecting participation include acres of owned land, percent of land unsuitable for crops, operator age, and distance to cities. Targeting farms and farmers with these traits can increase the success of agritourism promotion efforts.

When obtaining nitrogen (N), phosphate (P) and potash (K), purchasing decisions concerning the quantity and the form of each plant nutrient must be made. Logit models are estimated for the choice-of-form decision by considering those variables influencing the probability that plant nutrients will be purchased in Tennessee as part of a mixed fertilizer or as direct application materials. Parameter and elasticity estimates can be used by fertilizer manufacturers and distributors to anticipate changes in the composition of demand for plant nutrients in Tennessee.

Firm characteristics and managers' attitudes and opinions about pesticide safety were used to classify lawn care and landscape management firms into four categories and compare them using the logit procedure. Survey data obtained from 223 firms was used in the empirical investigation of the adoption of the IPM techniques. Results showed the need for continued transfer of new technology to independently owned firms, multidisciplinary assessment of IPM methods before their transfer to ascertain the economic viability of proposed methods, public investment in programs training workers in knowledge-based pesticide applications, possible assistance in obtaining capital, and investment in consumer education.

Modelling automobile insurance claims is a crucial component in the ratemaking procedure. This paper focuses on the probability that a policyholder reports a claim, where the classical logit link does not provide a right model. This is so because databases related with automobile claims are often unbalanced, containing more non-claims than the presence of claims. In this work an asymmetric logit model, which takes into account the large number of non-claims in the portfolio, is considered. Both, logit and asymmetric logit models from a Bayesian point of view, are used to a sample that was collected from a major automobile insurance company in Spain in 2009, resulting in a dataset of 2,000 passenger vehicle. We establish the validity of the asymmetric model in front of the conventional logit link. The use of a garage, the age of the vehicle and the duration of the client's relation with the company are all shown to be significant explanatory variables by the logit model. The asymmetric model includes, in addition, the length of time the policyholder has held a driving licence and the type of use made of the vehicle. The asymmetric model provides a better fit to the data examined.

Nearly 32% of consumers surveyed at four supermarkets and one private direct market in New Jersey reported having prior awareness of integrated pest management (IPM). However, knowledge of IPM does not appear homogeneous across all demographic segments. This study empirically evaluates which socioeconomic characteristics suggest that a consumer will be more likely to have existing knowledge of IPM. Results indicate that those who had higher levels of education, had visited a farmers' market within the previous five years, had no children, grew fruits and vegetables at home, were female, or had regularly used media reports about food safety were more likely to claim awareness of IPM.