Consequences of Eye Color,Positioning, and Head Movement for Eye‐Tracking Data Quality in Infant Research

Eye tracking has become a valuable tool for investigating infant looking behavior over the last decades. However, where eye‐tracking methodology and achieving high data quality have received a much attention for adult participants, it is unclear how these results generalize to infant research. This is particularly important as infants behave different from adults in front of the eye tracker. In this study, we investigated whether eye physiology, positioning, and infant behavior affect measures of eye‐tracking data quality: accuracy, precision, and data loss. We report that accuracy and precision are lower, and more data loss occurs for infants with bluish eye color compared to infants with brownish eye color. Moreover, accuracy was lower for infants positioned in a high chair or in the parents' lap compared to infants positioned in a baby seat. Finally, precision decreased and data loss increased as a function of time. We highlight the importance of data quality when comparing multiple groups, as differences in data quality can affect eye‐tracking measures. In addition, we investigate how two different measures to quantify infant movement influence eye‐tracker data quality. These findings might help researchers with data collection and help manufacturers develop better eye‐tracking systems for infants.     

RISK AVERSION RELATES TO COGNITIVE ABILITY: PREFERENCES OR NOISE?

Recent experimental studies suggest that risk aversion is negatively related to cognitive ability. In this paper we report evidence that this relation may be spurious. We recruit a large subject pool drawn from the general Danish population for our experiment. By presenting subjects with choice tasks that vary the bias induced by random choices, we are able to generate both negative and positive correlations between risk aversion and cognitive ability. Our results suggest that cognitive ability is related to random decision making rather than to risk preferences. (JEL: C81, C91, D12, D81)     

The Native‐Immigrant Income Gap among the Self‐Employed in Sweden

During recent years we have observed that non‐western immigrants are overrepresented among the self‐employed in Sweden. A reason for this might be the difficulties faced by immigrants in the labour market. The unemployment rate among non‐western immigrants in Sweden is higher than among natives with similar human capital characteristics. While this is a well‐established result, we do not know much about how self‐employed immigrants perform economically compared to their native counterparts. The purpose of this paper is to describe and analyse the incomes of self‐employed immigrants and natives in Sweden. We will also discuss possible explanations for the income gap we find. We use Swedish register data for the period 1998 to 2002 and the population studied consists of individuals who have been continuously self‐employed during this period. By performing the analysis on this group of self‐employed we get a measure of the difference among the long‐term self‐employed. The outcome of interest is the average income over the period. Income regressions are estimated using both OLS and quantile regressions. We find that self‐employed immigrants receive significantly lower incomes than their native counterparts when controlling for individual characteristics, industry and start‐up year of the firm. The income gap is larger for non‐western immigrants than for western immigrants. Quantile regressions show that the native‐immigrant income gap is smaller at the top than at the bottom of the income distribution. Several possible explanations for the native‐immigrant income gap are discussed. One possible explanation is that immigrants have a lower reservation wage and accepts staying in business receiving a lower income than comparable natives. Another explanation might be that there is discrimination against self‐employed immigrants that will lead to lower incomes. There can be consumer discrimination or discrimination from banks and real estate owners.     

Social Entrepreneurship Through an Organizational Ecology Lens: Examining the Emergence and Evolution of the Voucher School Population in Milwaukee

The creation and introduction of new ideas and new organizations to address social challenges are central features in current social entrepreneurship research, and over the past two decades scholars have proposed a variety of approaches to understand and analyze these and other dimensions of social entrepreneurship. This article looks at social entrepreneurship from an ecological perspective and proposes that organizational ecology has much to offer this emerging filed. Specifically, the article draws from a unique dataset on voucher schools in Milwaukee, Wisconsin to analyze the emergence as well as dynamics of this nonprofit population.     

Toward More Targeted Capacity Building: Diagnosing Capacity Needs Across Organizational Life Stages

Investments to build nonprofit organizational capacity have increased rapidly in recent years as both funders and nonprofits seek ways to improve performance. Yet, while research has elucidated the variety of capacity areas organizations generally depend on, we do not yet have a clear empirical understanding of which capacity areas are important to focus on developing or how these capacity needs vary across organizations. Using a life-cycle perspective and extensive data on 71 human service organizations, we examine the relative strength of ten capacity areas at different stages of the nonprofit life-cycle. Findings contribute greater empirical grounding for research on organizational capacity development and have implications for researchers, managers, and funders interested in nonprofit capacity building.     

Fatigue effects of noise on aeroplane mechanics

Subjective fatigue and reaction time performance were measured in a group of 24 aeroplane mechanics, during 1 week of high noise exposure and 1 week of low noise exposure. Subjective ratings were collected before and after each work day. On the last day of each week subjects also completed a reaction time task before and after work. The mechanics felt more sleepy and less energetic during the high noise week. This effect was most evident towards the end of the day and there was a build-up of the effect during the week. Reaction times were prolonged during the high noise week. Possible confounding factors are discussed and found to be less likely explanations of the effects.     

Some statistical aspects of methods for detection of turning points in business cycles

Methods for online turning point detection in business cycles are discussed. The statistical properties of three likelihood-based methods are compared. One is based on a Hidden Markov Model, another includes a non-parametric estimation procedure and the third combines features of the other two. The methods are illustrated by monitoring a period of the Swedish industrial production. Evaluation measures that reflect timeliness are used. The effects of smoothing, seasonal variation, autoregression and multivariate issues on methods for timely detection are discussed.     

Monitoring cyclical processes. A non-parametric approach

Forecasting the turning points in business cycles is important to economic and political decisions. Time series of business indicators often exhibit cycles that cannot easily be modelled with a parametric function. This article presents a method for monitoring time-series with cycles in order to detect the turning points. A non-parametric estimation procedure that uses only monotonicity restrictions is used. The methodology of statistical surveillance is used for developing a system for early warnings of cycle turning points in monthly data. In monitoring, the inference situation is one of repeated decisions. Measurements of the performance of a method of surveillance are, for example, average run length and expected delay to a correct alarm. The properties of the proposed monitoring system are evaluated by means of a simulation study. The false alarms are controlled by a fixed median run length to the first false alarm. Results are given on the median delay time to a correct alarm for two situations: a peak after two and three years respectively .     

Perception of own death risk

Individuals’ perception of their own road-traffic and overall mortality risks are examined in this paper. Perceived risk is compared with the objective risk of the respondents’ peers, i.e. their own gender and age group, and the results suggest that individuals’ risk perception of their own risk is biased. For road-traffic risk we obtain similar results to what have been found previously in the literature, overassessment and underassessment among low- and high-risk groups, respectively. For overall risk we find that all risk groups underestimate their risk. The results also indicate that men's risk bias is larger than women’s.

Welfare state context,female labour-market attachment and childbearing in Germany and Denmark

This study investigates the role of female labour-market attachment and earnings in childbearing progressions in two very different European contexts. By applying event-history techniques to German and Danish register data during 1981–2001, we demonstrate how female earnings relate to first, second and third birth propensities. Our study shows that female earnings are positively associated with first birth fertility in Denmark, while this is not the case in West Germany. We interpret our findings based on the fact that Danish social context and policy encourage women to establish themselves in the labour market before becoming mothers, while the German institutional context during the 1980s and 1990s was not geared towards encouraging maternal employment. For higher-order births, the results are less clearcut. For Denmark we find a slightly positive correlation between female earnings and second-birth fertility, while the association is somewhat negative for third-order births. In Germany, women tend to leave the labour market when becoming mothers. Non-employed mothers have elevated second and, in particular, third-birth rates. For the group of mothers who are employed, we find only a weak association between their earnings and higher-order fertility.