@techreport{CaliendoHennecke2020, type = {Working Paper}, author = {Caliendo, Marco and Hennecke, Juliane}, title = {Drinking is Different!}, series = {CEPA Discussion Papers}, journal = {CEPA Discussion Papers}, number = {18}, issn = {2628-653X}, doi = {10.25932/publishup-46979}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-469790}, year = {2020}, abstract = {Unhealthy behavior can be extremely costly from a micro- and macroeconomic perspective and exploring the determinants of such behavior is highly important from an economist's point of view. We examine whether locus of control (LOC) can explain alcohol consumption as an important domain of health behavior. LOC measures how much an individual believes that she is in control of the consequences of her own actions for her life's future outcomes. While earlier literature showed that an increasing internal LOC is associated with increased health-conscious behavior in domains such as smoking, exercise or diets, we find that drinking seems to be different. Using German panel data from the Socio-Economic Panel (SOEP) we find a significant positive effect of having an internal LOC on the probability of moderate and regular drinking. We suggest and discuss two likely mechanisms for this relationship and find interesting gender differences. While social investments play an important role for both men and women, risk perceptions are especially relevant for men.}, language = {en} } @misc{SchweizerBluemkeBrandetal.2010, author = {Schweizer, Geoffrey and Bluemke, Matthias and Brand, Ralf and Kahlert, Daniela}, title = {Exercise might be good for me, but I don't feel good about it : do automatic associations predict exercise behavior?}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-42510}, year = {2010}, abstract = {Models employed in exercise psychology highlight the role of reflective processes for explaining behavior change. However, as discussed in social cognition literature, information-processing models also consider automatic processes (dual-process models). To examine the relevance of automatic processing in exercise psychology, we used a priming task to assess the automatic evaluations of exercise stimuli in physically active sport and exercise majors (n = 32), physically active nonsport majors (n = 31), and inactive students (n = 31). Results showed that physically active students responded faster to positive words after exercise primes, whereas inactive students responded more rapidly to negative words. Priming task reaction times were successfully used to predict reported amounts of exercise in an ordinal regression model. Findings were obtained only with experiential items reflecting negative and positive consequences of exercise. The results illustrate the potential importance of dual-process models in exercise psychology.}, language = {en} }