Religiosity,Economics and Life Satisfaction

This paper uses a large individual data set from the Euro Barometer Survey (ICPSR 1993 Interuniversity Consortium for Political and Economic Research (ICPSR) 1993 Euro-Barometer Surveys Ann Arbor: University of Michigan  ) to estimate the influence of religious phenomena on self-perceived satisfaction of an individual, controlling for macroeconomic conditions, effects of his political stance, and other socio-economic variables. Our estimated ordered logit model results show that an individual's life satisfaction is positively related to measures of strong religious attachment in the sense of being willing to commit to attending religious services frequently. Our other findings include that no strong evidence exists for the hypothesis that leftists suffer more from income inequality.     

Heterogeneity and participation in informal employment among non-cultivator workers in India

Labour informality is one of the most serious challenges facing a developing economy like India with large-scale poverty and decent work deficits. This study has inspected possible heterogeneity within informal employment among the non-cultivator workers. Multinomial Logit was applied to find out the determinants of participation in different components of informal employment. Significant heterogeneity within the informal employment on poverty, age, gender, socio-religious communities, educational attainment and industrial classification was observed. There is coexistence of voluntary and involuntary informal employment. Given the diversity of employment, one-size-fits-all policy design may adversely affect sustainable and inclusive growth in India.     

Tax incentives and the location of FDI: Evidence from a panel of German multinationals

Using a firm-level panel data set this paper investigates the impact of taxation on the decision of German multinationals to hold or establish a subsidiary in other European countries or abroad. Taking account of unobserved local characteristics as well as firm-specific preferences for potential locations, the results confirm significant effects of tax incentives, market size, and of labor cost on cross-border location decisions. In accordance with Devereux and Griffith (1998) we find that the marginal effective tax rate has no predictive power for location decisions. However, the results indicate a considerably weaker predictive power of the effective average tax rate as compared to the statutory tax rate. JEL Code:H25 ⋅ F23 ⋅ F21 ⋅ R38     

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.     

Public support for economic transition

This paper focuses on the Czech economic transition and aims to identify the determinants of unusually high and long-lasting public support for market reforms. The study is based on a unique combination of statistical analysis of survey data and oral history (interviews with reformers, managers etc.), which has enabled us to depict the views of the general public as well as of many people involved in decision-making processes on both macro and micro levels. These findings allow us to propose recommendations on how to gain and maintain public support for economic reforms. Above all, reformers must utilize the period of euphoria and communicate the individual steps of reform with the public.     

An assessment of the influence of bioenergy and marketed land amenity values on land uses in the Midwestern US

There is substantial concern that bioenergy policies could swamp other considerations, such as environmental values, and lead to large-scale conversions of land from forest to crops. This study examines how bioenergy and marketed environmental rents for forestland potentially influence land use in the Midwestern US. We hypothesize that current land uses reflect market values for environmental benefits of forestland, so that the marketed component of the environmental value of land can be captured as the difference between Census land values and value of land as a timber asset. We use a multinomial logit model to estimate the land use shares of forests, crops and urban in Ohio, Indiana, and Illinois. The results show that marketed environmental rents increase forestland relative to cropland. To examine the effects of biofuels on land use, we conduct policy analysis by altering future land rents. Our baseline scenario projects that urban development uses mostly cropland, but with higher crop rents resulting from increased demand for bioenergy, there will be significant losses of forestland to urban and cropland. On the other hand, if marketed environmental rents grow while crop rents are maintained at their baseline value, urban growth will occur, primarily at the expense of cropland.     

Does Employee Body Weight Affect Employers' Behavior?

In this paper, we study the possible segregation of overweight individuals already established in the labor market when firms make decisions on hiring, firing, and promoting. Most existing studies use wage equations to document wage differences, but little is known about the reason for the differences and the sorting of workers. Using an equilibrium search model, search frictions are taken into account. Additionally, sorting is examined using a logit model. We find that wage differences between workers who have a normal weight and workers who are overweight or obese can be explained by differential firm behavior, with respect to both the job‐offer arrival rate and the probability of being promoted.     

Market segmentation analysis for airport access mode choice modeling with mixed logit

Accessing airports can be considered as a crucial issue since passengers need not miss their flights. This issue makes the mode choice to access the airports important to study on and develop policies regarding it. Many studies show destination type as domestic or international affects the airport access mode choice, along with other factors. In this study, we investigate the effect of destination type of mode choice using mixed logit, using market segmentation approach. Market segmentation regarding destination type as domestic or international is a first in airport access mode choice modeling. Revealed-preference data was collected by face-to-face passenger surveys at Ataturk International Airport in Istanbul, Turkey, in 2015. We did market segmentation analysis for Multinomial Logit (MNL) and Mixed Logit (ML) models. When MNL and ML models were compared, it was observed that ML was superior to MNL. Further, results of market segmentation analysis revealed that using segmented models produced more accurate results than using the pooled model; both in MNL and ML. This finding was also supported by the value of time estimates; there were significant differences between domestic and international travel markets in terms of airport access mode choice. These results showed that different transportation policies may be introduced for domestic and international traveler segments, which also were explained.     

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.