Who takes part in film tourism? The analysis of determinants of visiting film locations

Film tourism is one of the fastest developing sub-segments of creative tourism in the 21st century. Many studies investigated tourists' motivation and behavior towards film tourism in the context of psychological and emotional motives and their involvement and experience. However, we still know very little about the structure of visitors of film sites. Utilizing primary data collected in Slovakia and adopting the econometric approach, the aim of this empirical study is to estimate the relationship between preferred trip parameters and the decision to include a visit to a film location in the travel plan. The results suggest that visits to film sites occur to a significant extent by chance, film tourism is additional, mainly to other segments of tourism, characterized as adventurous and explorative experiences. Visits to film locations occur mainly as trips by younger age groups and longer stays, mostly as self-organized trips, regardless of budget, frequency of travel, or gender.     

Business cycle duration dependence and foreign recessions

This study revisits business cycle duration dependence in G7 countries by controlling for foreign recessions, defined as the number of other G7 countries in a recession. Estimates from regime switching logit models show that the monthly likelihood of ending an expansion roughly doubles for every extra G7 country in recession, but the end of foreign recessions do not affect the ending of recessions. They also show that recessions are duration dependent in all G7 countries, but expansions only in the United States and Germany. The economic importance of foreign recessions and duration in driving business cycle phase changes vary across countries.     

Remittances and household expenditure behaviour: Evidence from Senegal1

We use different econometric techniques, from propensity score matching to multinomial treatment methods, to assess the impact of internal and external remittances on several household budget shares in Senegal. When only considering the average impact of remittances on the household expenditure behaviour, we find an overall productive use of remittances. However, the impact of remittances disappears when the marginal spending behaviour is considered, i.e., households do not show a different consumption pattern with respect to their remittance status. The marginal spending behaviour therefore suggests that, in the decision on how to allocate expenditure, remittances are treated just as any other source of income.     

Flexible customer willingness to pay for bundled smart home energy products and services

Energy markets are rapidly changing with smarter, connected, more reliable infrastructure and cleaner generation on the supply side, and more choice, greater control and enhanced flexibility for customers. This paper examines willingness to pay for bundled smart home energy products and information services, using data from a set of two discrete choice experiments that were part of a survey by the regional energy provider of upstate New York. To let the data reveal how preferences are distributed in the population, a logit-mixed logit model in willingness-to-pay space and a combination of observed and unobserved preference heterogeneity was specified and fitted. Results show that residents of Tompkins County are willing to pay more than in other counties for residential storage, and that for home energy management there is an important generational divide with millennials being much more likely to perceive the economic value in the smart energy technologies. The flexible logit-mixed logit estimates provide evidence of important heterogeneity in preferences: whereas most of the population has a positive—albeit rather low—valuation of smart energy products and services, there is a considerable percentage of customers with negative perceptions.     

Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach

We employ a discrete choice experiment to elicit demand and supply side preferences for insurance‐linked credit, a promising market‐based tool for managing agricultural weather risks and providing access to credit for farmers. We estimate preference heterogeneity using primary data from smallholder farmers and managers of lenders/insurers combined with household socio‐economic survey data in Kenya. We analyse the choice data using maximum simulated likelihood and Hierarchical Bayes estimation of a mixed logit model. Although there are some similarities, we find that there is conflicting demand and supply side preferences for credit terms, collateral requirements, and loan use flexibility. We also analyse willingness to buy and willingness to offer for farmers and suppliers, respectively, for the risk premium for different attributes and their levels. Identifying the preferred attributes and levels for both farmers and financial institutions can guide optimal packaging of insurance and credit providing market participation and adoption motivation for insurance‐bundled credit product.     

Spatial-temporal response patterns of tourist flow under entrance tourist flow control scheme

This paper explores the relationship between tourists' information demand about entrance tourist flow control schemes (ETFCS) and tourists' entrance transfer decision-making behavior, using the case study of the Summer Palace, one of the most important resort destinations in Beijing, China. After discussing tourists' decision-making behavior under ETFCS information, a revealed preference and stated preference survey (N = 1742 valid observations) were created and a joint choice model of tourist's entrance transfer and diversion entrance selection was established. Results show how various ETFCS are formulated and affect tourists' decision-making behavior under different traffic congestion. Sensitivity analysis reveals that tourists' entrance transfer decision-making behavior is related to the entry time of current crowded entrance and the time saved from the diversion entrance. Hence it is possible to formulate ETFCS in terms of tourist's spatial-temporal distribution in order to anticipate the levels of tourist intensity, especially during peak periods.     

The value of non-personally identifiable information to consumers of online services: evidence from a discrete choice experiment

We estimate the value of non-personally identifying information to consumers of online services through a discrete choice experiment based on hypothetical streaming video services. Non-personally identifying information for online services is typically information on the ways in and times at which customers use the service, and is distinct from personally identifying information such as email addresses or telephone numbers. For most of our survey respondents, we find no evidence that they were willing to pay to avoid sharing their non-personally identifying information with third parties. A smaller group of respondents never selected a service that shared information with third parties.     

Penalized maximum likelihood estimation of logit-based early warning systems

Panel logit models have proved to be simple and effective tools to build early warning systems (ews) for financial crises. But because crises are rare events, the estimation of ews does not usually account for country-specific fixed effects, so as to avoid losing all the information relative to countries that never face a crisis. I propose using a penalized maximum likelihood estimator for fixed-effects logit-based ews where all the observations are retained. I show that including country effects, while preserving the entire sample, improves the predictive performance of ews, both in simulation and out of sample, with respect to the pooled, random-effects and standard fixed-effects models.     

Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment

We elicit homeowners’ willingness to pay (WTP) for energy efficiency and low-carbon technologies in the context of heating appliance replacement. We employ a within-between subject design that involves manipulating information in a two-stage discrete choice experiment (DCE) and use WTP space estimation to identify the role of financial information in reducing fossil fuel use. We find that homeowners’ average valuation of energy efficiency exceeds associated heating cost savings, suggesting that they also consider non-monetary benefits when evaluating this type of investment, whereas information about private and pro-social benefits of investments only has a limited impact on WTP. Evidence also suggests that homeowners have a strong preference for the existing technology. Consequently, fossil fuel users’ WTP for switching to low-carbon technologies does not cover respective investment cost differentials, and we derive evidence on how combined subsidies and information can induce these users to opt out of fossil technologies.     

Why do Filipinos desire to work more hours?

In 2018, 16.4 per cent of Filipino workers stated that they wanted to have more work hours in their present jobs, to have an additional job, or to have a new job with longer work hours, that is, they declared themselves under-employed. Analysis of the 2015 Labor Force Survey data shows that relative to being full-time employed and not under-employed, the major determinant of being under-employed is the basic pay. Region, educational attainment, sector, and primary occupation are much less important determinants.