Hope for a Cause as Cause for Hope: The Need for Hope in Environmental Sociology

Hope is a crucial component of agency involving the setting of goals, visualization of obstacles, and increasing willpower in the effort of achieving a desired goal. This hope is not simply optimism and is potentially a bridge between structure and agency. Yet, the powers of hope in sociology have been greatly unexplored including the ability of collective hope to create social change. This lack of hope is particularly poignant in environmental sociology as the sub-discipline looks for solutions to some of the greatest challenges humanity and the planet faces. This article discusses the undercurrent of pessimism in environmental sociology and calls for the integration of hope as it is necessary for generating potential social environmental change.     

Much Ado About Nothing?

We can only welcome the discourse that has been initiated in our professional community with the concept of public sociology in the focus. Undoubtedly, Michael Burawoy has indisputable merits in fuelling this international dialogue. I find, however, that his position and conceptual framework is debatable at several points, therefore my review is on the side of those who criticize his ideas. My paper is divided into three parts: in keeping with the idea that the drop mirrors the ocean, I will start with the detailed critique of a single paragraph—the one which makes comments on his table entitled Types of sociological knowledge. It will be argued that by switching his viewpoints and using vaguely defined notions without empirical evidences he often tackles his subject inconsistently. Secondly, I intend to offer an alternative, three-dimensional conceptual model in which the social scientist’s prestige, influence and position on the action chain is taken into account as the main analytical aspects of the relationship between her/him and the public. Finally, based on this model, I propose to identify some strategies in order to find a better balance between the public and professional activity of social scientists.     

Moments in the Methodology of Meso History

Meso history is that branch of the history of sociology that focuses on social relations, that is, patterns of connection among groups, group members, and group meanings, as explanatory factors in the shaping of sociology. The methodology of meso history consists of strategies for discovering, documenting and patterning connections. This paper explores those strategies in terms of three moments generic to the research process in social science– moments of movement from intellectual curiosity to conceptualization, from research question to data collection and from data to presentation of findings–focusing on the distinctive permutations on this research process that occur in the practice of meso history.     

Some characterizations of discrete distributions based on weak records

Let X ₁, X ₂,... be iid random variables (rv's) with the support on nonnegative integers and let (W _n , n≥0) denote the corresponding sequence of weak record values. We obtain new characterization of geometric and some other discrete distributions based on different forms of partial independence of rv's W _n and W _n+r —W _n for some fixed n≥0 and r≥1. We also prove that rv's W ₀ and W _n+1 —W _n have identical distribution if and only if (iff) the underlying distribution is geometric.     

Reconsidering union wage effects: Surveying new evidence on an old topic

I examine evidence on private sector union wage gaps in the United States. The consensus opinion among labor economists of an average union premium of roughly 15 percent is called into question. Two forms of measurement error bias downward standard wage gap estimates. Match bias results from Census earnings imputation procedures that do not include union status as a match criterion. Downward bias is roughly equal to the proportion of workers with imputed earnings, currently about 30 percent. Misclassification of union status causes additional attenuation in union gap measures. This bias has worsened as private sector density has declined, since an increasing proportion of workers designated as union are instead nonunion workers. Corrections for misclassification and match bias lead to estimated union gaps substantially higher than standard estimates, but with less of a downward trend since the mid 1980s. Private sector union gaps corrected for these biases are estimated from the CPS for 1973–2001. The uncorrected estimate for 2001 is .13 log points. Correction for match bias increases the gap to .18 log points; further correction for misclassification bias, based on an assumed 2 percent error rate, increases the gap to .24. Reexamination of the skill-upgrading hypothesis leads to the conclusion that higher union gap estimates are plausible. The conventional wisdom of a 15 percent union wage premium warrants reexamination.     

The Effect of Support Expectations on Prenatal Attachment: An Evidence-Based Approach for Intervention in an Adolescent Population

This study was designed to determine the significant variables predicting prenatal attachment in an adolescent population. Scientifically supported knowledge of the factors enhancing attachment plays a crucial role in assisting social workers and other health care professionals to accurately assess and intervene to decrease pregnancy risks. Previous prenatal attachment studies demonstrated conflicting findings due to problems from using different theoretical frameworks and research methodologies. In order to ensure consistency, this study infused an attachment theory perspective. Bowlby’s attachment theory, Levitt’s support expectations model, and research from prenatal relationship studies were integrated. The social survey sampled 129 minority status pregnant adolescents attending public school. Measurements included the Prenatal Attachment Inventory (PAI) and the Support Expectations Index (SEI). Regression analyses revealed that support expectation was a powerful predictor of prenatal attachment with pregnancy planning and less stress adding importantly to explain over 33% of the variance. Support expectation was a greater predictor of prenatal attachment than the actual support available. Findings also supported the construct of prenatal attachment as the initial stage of development of the life cycle. Janis B. Feldman is an Assistant Professor, University, of Texas-Pan American.     

Technical Note – Pricing Below Cost Under Exchange‐Rate Risk

Pricing below cost is often classified as “dumping” in international trade and as “predatory pricing” in local markets. It is legally prohibited from practice because of earlier findings that it leads to predatory behavior by either eliminating competition or stealing market share. This study shows that a stochastic exchange rate can create incentives for a profit‐minded monopoly firm to set price below marginal cost. Our result departs from earlier findings because the optimal pricing decision is based on a rational behavior that does not exhibit any malicious intent against the competition to be considered as violating anti‐trust laws. The finding is a robust result, because our analysis demonstrates that this behavior occurs under various settings such as when the firm (i) is risk‐averse, (ii) can postpone prices until after exchange rates are realized, (iii) is capable of manufacturing in multiple countries, and (iv) operates under demand uncertainty in addition to the random exchange rate.     

Handling Missing Values in Longitudinal Panel Data With Multiple Imputation

This article offers an applied review of key issues and methods for the analysis of longitudinal panel data in the presence of missing values. The authors consider the unique challenges associated with attrition (survey dropout), incomplete repeated measures, and unknown observations of time. Using simulated data based on 4 waves of the Marital Instability Over the Life Course Study (n = 2,034), they applied a fixed effect regression model and an event‐history analysis with time‐varying covariates. They then compared results for analyses with nonimputed missing data and with imputed data both in long and in wide structures. Imputation produced improved estimates in the event‐history analysis but only modest improvements in the estimates and standard errors of the fixed effects analysis. Factors responsible for differences in the value of imputation are examined, and recommendations for handling missing values in panel data are presented.     

Persisting Differences or Adaptation to German Fertility Patterns? First and Second Birth Behavior of the 1.5 and Second Generation Turkish Migrants in Germany

In this study, we use data of the German Mikrozensus to explore first and second birth behavior of migrants’ descendants. Whereas prior waves of the Mikrozensus only included respondents’ citizenship, in the survey years 2005 and 2009 also parental citizenship has been surveyed. This allows us to identify respondents’ migrant backgrounds, even if they have German citizenship. We distinguish those who migrated as children (1.5 generation) from those who were born to Turkish parents in Germany (second generation migrants). We compare both migrant generations to German non-migrants. Using discrete-time hazard models, our results show that 1.5 generation migrants have the highest probability of having a first and second birth, while German non-migrants have the lowest birth probabilities. The second generation lies in-between. This pattern also persists after taking the educational attainment of respondents into consideration. However, there seems to be an adaptation of highly educated second generation Turkish migrants to non-migrant Germans: we find no significant differences in the probability of having a first birth in the two groups. For second births, we do not find this pattern which might be related to the young age structure in the sample of second generation migrants.