An Intergenerational Model of Wages, Hours and Earnings

In this paper we develop and estimate a factor model of the earnings, labor supply, and wages of young men and young women, their parents and their siblings. We estimate the model using data on matched sibling and parent-child pairs from the National Longitudinal Survey of Labor Market Experience. We measure the extent to which a set of unobserved parental and family factors that drive wage rates and work hours independently of wage rates lead to similarities among family members in labor market outcomes. We find strong family similarities in work hours that run along gender lines. These similarities are primarily due to preferences rather than to labor supply responses to family similarities in wages. The wage factors of the father and mother influence the wages of both sons and daughters. A `sibling' wage factor also plays an important role in wage determination. We find that intergenerational correlations in wages substantially overestimate the direct influence of fathers, and especially mothers, on wages. This is because the father's and mother's wage factors are positively correlated. The relative importance for the variance in earnings of the direct effect of wages, the labor supply response induced by wages, and effect of hours preferences varies by gender, and by age in the case of women. For all groups most of the effect of wages on earnings is direct rather than through a labor supply response.

New Form of Capitalization

To fully understand the meaning and importance of no par value stock it is necessary to first briefly consider the nature of capital stock and its relative adaptability to the principles underlying both par value and no par value share

Bicarbonate or Carbonate Processes for Coupling Carbon Dioxide Capture and Electrochemical Conversion

Designing a scalable system to capture CO₂ from the air and convert it into valuable chemicals, fuels, and materials could be transformational for mitigating climate change. Climate models predict that negative greenhouse gas emissions will be required by the year 2050 in order to stay below a 2 °C change in global temperature. The processes of CO₂ capture, CO₂ conversion, and finally product separation all require significant energy inputs; devising a system that simultaneously minimizes the energy required for all steps is an important challenge. To date, a variety of prototype or pilot-level CO₂ capture and/or conversion systems have been designed and built targeting the individual objectives of either capture or conversion. One approach has focused on CO₂ removal from the atmosphere and storage of pure pressurized CO₂. Other efforts have concentrated on CO₂ conversion processes, such as electrochemical reduction or fermentation. Only a few concepts or analyses have been developed for complete end-to-end processes that perform both CO₂ capture and transformation

The Effects of School and Family Characteristics on the Return to Education

We measure the effects of parental education on the education profile of wages. The analysis uses sibling pairs from the Panel Study of Income Dynamics and the National Longitudinal Surveys of Labor Market Experience of Young Men and Young Women. We also use the variance across siblings in school characteristics to estimate the effects of school inputs on wages holding family background constant. We obtained mixed evidence on whether parental education raises the return to education. We find that teacher's salary, expenditures per pupil, and a composite index of school quality measures have a substantial positive effect on the wages of high school graduates.

Methods for selecting fixed-effect models for heterogeneous codon evolution, with comments on their application to gene and genome data

BACKGROUND: Models of codon evolution have proven useful for investigating the strength and direction of natural selection. In some cases, a priori biological knowledge has been used successfully to model heterogeneous evolutionary dynamics among codon sites. These are called fixed-effect models, and they require that all codon sites are assigned to one of several partitions which are permitted to have independent parameters for selection pressure, evolutionary rate, transition to transversion ratio or codon frequencies. For single gene analysis, partitions might be defined according to protein tertiary structure, and for multiple gene analysis partitions might be defined according to a gene's functional category. Given a set of related fixed-effect models, the task of selecting the model that best fits the data is not trivial. RESULTS: In this study, we implement a set of fixed-effect codon models which allow for different levels of heterogeneity among partitions in the substitution process. We describe strategies for selecting among these models by a backward elimination procedure, Akaike information criterion (AIC) or a corrected Akaike information criterion (AICc). We evaluate the performance of these model selection methods via a simulation study, and make several recommendations for real data analysis. Our simulation study indicates that the backward elimination procedure can provide a reliable method for model selection in this setting. We also demonstrate the utility of these models by application to a single-gene dataset partitioned according to tertiary structure (abalone sperm lysin), and a multi-gene dataset partitioned according to the functional category of the gene (flagellar-related proteins of Listeria). CONCLUSION: Fixed-effect models have advantages and disadvantages. Fixed-effect models are desirable when data partitions are known to exhibit significant heterogeneity or when a statistical test of such heterogeneity is desired. They have the disadvantage of requiring a priori knowledge for partitioning sites. We recommend: (i) selection of models by using backward elimination rather than AIC or AICc, (ii) use a stringent cut-off, e.g., p = 0.0001, and (iii) conduct sensitivity analysis of results. With thoughtful application, fixed-effect codon models should provide a useful tool for large scale multi-gene analyses

Life Inside an Acorn: How Microclimate and Microbes Influence Nest Organization in Temnothorax Ants

Nests provide a buffer against environmental variation, but conditions may also vary at different locations within a nest. Conditions can vary based on abiotic factors, such as moisture and temperature, as well as biotic factors, such as the presence of microbes and potential pathogens. Therefore, characterizing how animals adjust their position inside their nests to track microclimate preferences while at the same time preventing pathogen exposure is necessary to understand the benefits nests provide. Here we studied how colonies of the acornânesting ant Temnothorax curvispinosus responded to experimental manipulation of moisture, temperature, and microbial growth inside their nests. Colonies showed no response to differences in moisture and moved to the bottom of the acorn regardless of moisture treatment. When nests were heated from the top to simulate warming by the sun, workers preferentially moved brood to the warm, upper half of the acorn, which would stimulate brood development. Finally, the strongest factor that influenced colony position was the presence of microbes inside the nestâcolonies avoided the bottom of the nest when it was inoculated with microbes, and colonies in new acorns shifted to the top of the acorn over time as mold and other microbes had time to grow. The relatively strong response of T. curvispinosus to microbial growth inside their nests suggests that pathogen pressuresâin addition to microclimateâhave a significan

Bicarbonate or Carbonate Processes for Coupling Carbon Dioxide Capture and Electrochemical Conversion

Designing a scalable system to capture CO₂ from the air and convert it into valuable chemicals, fuels, and materials could be transformational for mitigating climate change. Climate models predict that negative greenhouse gas emissions will be required by the year 2050 in order to stay below a 2 °C change in global temperature. The processes of CO₂ capture, CO₂ conversion, and finally product separation all require significant energy inputs; devising a system that simultaneously minimizes the energy required for all steps is an important challenge. To date, a variety of prototype or pilot-level CO₂ capture and/or conversion systems have been designed and built targeting the individual objectives of either capture or conversion. One approach has focused on CO₂ removal from the atmosphere and storage of pure pressurized CO₂. Other efforts have concentrated on CO₂ conversion processes, such as electrochemical reduction or fermentation. Only a few concepts or analyses have been developed for complete end-to-end processes that perform both CO₂ capture and transformation

Quantity and quality: Increasing safety norms through after action reviews

Workplace safety is a concern for both scholars and practitioners alike because accidents and injuries can result in time away from work and lost organizational resources. This study focuses on how one type of post-incident discussion can be effectively used to promote positive safety norms. It adds to the growing body of research on after action review meetings, one type of post-incident discussion intervention commonly used in high reliability organizations to increase future workplace safety behaviors. This study also extends the sensemaking and high reliability literatures by examining a three-way interaction between perceived frequency of after action review meetings, ambiguity reduction and psychological safety. Survey data were obtained from 330 firefighters. Results from the three-way interaction showed that safety norms were highest when perceived after action review frequency, ambiguity reduction and psychological safety were simultaneously high, and safety norms were lowest when perceived after action review frequency, ambiguity reduction and psychological safety were simultaneously low. By examining both the perceived quantity and quality of after action review meetings, this study provides insight into which after action review facilitation objectives are most likely to increase positive safety norms and ultimately create a shared understanding of how to behave safely in future workplace events in high reliability organizational contexts

Relationships Among the Family Incomes and Labor Market Outcomes of Relatives

This paper examines the links between the labor market outcomes of individuals who are related by blood or by marriage using panel data on pairs of matched family members from the National Longitudinal Survey of Labor Market Experience. We examine the intergenerational and sibling correlations among a broad set of labor market variables using time average, method of moments and regression techniques designed to reduce the biases introduced by transitory and measurement errors. We also show that family data can be exploited to investigate theories of job turnover, labor supply. and the industry structure of wages. Our primary findings follow. First, there are strong correlations between the family incomes of relatives. Our method of moments estimates are .38 for brother pairs, .73 for sister pairs. and .56 for brother-sister pairs. The intergenerational family income correlations are .36 for father-son pairs, .48 for father-daughter pairs, and .56 for both mother-son and mother-daughter pairs. These estimates. except for the father-son result, are large compared to those in the literature for the U.S. Second, we find strong correlations in the wages and earnings of relatives. Wage correlations vary around .40 for all family member pairs, and earnings correlations vary around .35. Work hours of family members of the same sex are also fairly strongly related. Fourth, we find strong correlations in the earnings of "in-laws" that may support a theory of assortive mating in which parental earnings have value. We also provide evidence that job turnover rates depend on family characteristics and are negatively correlated with labor market productivity. Further, we show that young men whose fathers work in high wage industries tend themselves to work in high wage industries. Lastly, we find that a father's collective bargaining coverage has a strong positive influence on his son's collective bargaining status.

Peanut Allergen Threshold Study (PATS): Novel single-dose oral food challenge study to validate eliciting doses in children with peanut allergy

Background: Eliciting doses (EDs) of allergenic foods can be defined by the distribution of threshold doses for subjects within a specific population. The ED05 is the dose that elicits a reaction in 5% of allergic subjects. The predicted ED05 for peanut is 1.5 mg of peanut protein (6 mg of whole peanut). Objective: We sought to validate the predicted peanut ED05 (1.5 mg) with a novel single-dose challenge. Methods: Consecutive eligible children with peanut allergy in 3 centers were prospectively invited to participate, irrespective of previous reaction severity. Predetermined criteria for objective reactions were used to identify ED05 single-dose reactors. Results: Five hundred eighteen children (mean age, 6.8 years) were eligible. No significant demographic or clinical differences were identified between 381 (74%) participants and 137 (26%) nonparticipants or between subjects recruited at each center. Three hundred seventy-eight children (206 male) completed the study. Almost half the group reported ignoring precautionary allergen labeling. Two hundred forty-five (65%) children experienced no reaction to the single dose of peanut. Sixty-seven (18%) children reported a subjective reaction without objective findings. Fifty-eight (15%) children experienced signs of a mild and transient nature that did not meet the predetermined criteria. Only 8 (2.1%; 95% CI, 0.6%-3.4%) subjects met the predetermined criteria for an objective and likely related event. No child experienced more than a mild reaction, 4 of the 8 received oral antihistamines only, and none received epinephrine. Food allergy–related quality of life improved from baseline to 1 month after challenge regardless of outcome (η2 = 0.2, P < .0001). Peanut skin prick test responses and peanut- and Ara h 2–specific IgE levels were not associated with objective reactivity to peanut ED05. Conclusion: A single administration of 1.5 mg of peanut protein elicited objective reactions in fewer than the predicted 5% of patients with peanut allergy. The novel single-dose oral food challenge appears clinically safe and patient acceptable, regardless of the outcome. It identifies the most highly dose-sensitive population with food allergy not otherwise identifiable by using routinely available peanut skin prick test responses or specific IgE levels, but this single-dose approach has not yet been validated for risk assessment of individual patients