Theoretical ideas and analysis as the focus of graduate education

An emphasis on theoretical ideas and analysis in graduate education highlights the contributions that sociologists can make to the major issues of the modern world. Such a strategy will bring sociology into a dialogue with the intellectual community and policy makers and will provide a greater degree of focus to a now disparate enterprise. Sociologists can make a distinctive contribution in addressing major social issues if they recognize the rightful relationship between theoretical ideas and research procedures. They have collaborated for several years on issues relating to bureaucracy, higher education, and social theory, with recent publications on a sociologically informed theory of human rights.     

Absenteeism and the risk of involuntary unemployment: A dynamic analysis

Absence from work is a risky activity for an employed worker, as it may lead to dismissal and involuntary unemployment. The cost of unemployment to a worker depends, however, on absence behavior had the worker remained employed. Hence, absence decisions over time are interrelated. This article examines the dynamic and some comparative static aspects of the absence decision under uncertainty: the nature of its variation over time, its response to variations in the unemployment rate, and its alleged subjection to a moral hazard effect in the presence of an unemployment insurance program.     

Social identity and violence among immigrant adolescents

Whereas traditional criminological theories treat juvenile delinquency largely as a reactive and expressive behavior that only seldom leads to specialized criminal offending or a criminal career, this article proposes an alternative classification of offenses that accounts for the difference between youthful reactive conduct and specialized criminality. It examines the effect of immigration on delinquency among juvenile Russians in Israel. In contrast to previous work that has examined the criminogenic effect of immigration without differentiating specific types of delinquency, this study investigates the immigration effect on eclectic as well as specialized delinquency. Based on survey data from face-to-face interviews with 910 immigrant youths from the former Soviet Union in Israel, the study finds important results regarding the integration of juvenile immigrants in modern societies. In contrast to the assumption that assimilation in multicultural societies represents a safe way for social adaptation and to prevent specific kinds of violent behavior, the authors find empirical support for a more sophisticated approach. Furthermore, the results underline the importance in differentiating between distinct forms of violence.     

Systemic Valuation of Strategic Preparedness Through Application of the Inoperability Input-Output Model with Lessons Learned from Hurricane Katrina

The U.S. Department of Homeland Security (DHS) has mandated all regions to "carefully weigh the benefit of each homeland security endeavor and only allocate resources where the benefit of reducing risk is worth the amount of additional cost" (DHS, 2006, p. 64). This mandate illuminates the need to develop methods for systemic valuation of preparedness measures that support strategic decision making. This article proposes an analysis method that naturally emerges from the structure of the inoperability input-output model (IIM) through which various regional- and sector-specific impact analyses can be cost-effectively integrated for natural and man-made disasters. The IIM is described extensively in a companion paper (Lian et al., 2007). Its reliance on data classifications structured by the U.S. Census Bureau and its extensive accounting of economic interdependencies enables us to decompose a risk analysis activity, perform independent assessments, and properly integrate the assessment for a systemic valuation of risk and risk management activity. In this article, we account for and assess some of the major impacts of Hurricanes Katrina and Rita to demonstrate this use of the IIM and illustrate hypothetical, reduced impacts resulting from various strategic preparedness decisions. Our results indicate the capability of the IIM to guide the decision-making processes involved in developing a preparedness strategy.     

Supplying lead firms,intangible assets and power in global value chains: Explaining governance in the fertilizer chain

Global suppliers of agricultural inputs such as seeds, fertilizers and agrochemicals exert increasing degrees of power in global value chains (GVCs). Although the GVC literature has explained how global buyers govern GVCs from the buying-end, the question of how global suppliers achieve governance from the supplying-end remains underexplored. We address this gap by combining a multidimensional typology of power with literature on intangible assets. We argue that intangible assets are crucial resources for global suppliers to morph otherwise ungovernable supply chains for undifferentiated input commodities into more sophisticated and governable GVCs. We illustrate our argument with the case of the global fertilizer supplier, YARA International. YARA's intangible asset investments were instrumental in governing the value chain integration of Tanzanian smallholder farmers. They allowed YARA to exert more than bargaining power (demonstrative, institutional and constitutive power) and to effectively position itself as supplying lead firm in Tanzania's agro-industrial GVC.     

Computation of the Two-Sample Smirnov Statistics

A simple method is given for evaluating the one- or two-sided Smirnov statistic for comparing two independent samples from continuous populations.     

A two-sample distribution-free scale test of the smirnov type

The two-sample, distribution-free statistics of Smirnov (1939) are used to define a new statistic. While the Smirnov statistics are used as a general goodness-of-fit test, a distribution-free scale test based on this new statistic is developed. It is shown that this new test has higher power than the two-sided Smirnov statistic in detecting differences in scale for some symmetric distributions with equal means/medians. The critical values of the proposed test statistic and its limiting distribution are given     

Location and Scale Estimation with Correlation Coefficients

This article shows how to use any correlation coefficient to produce an estimate of location and scale. It is part of a broader system, called a correlation estimation system (CES), that uses correlation coefficients as the starting point for estimations. The method is illustrated using the well-known normal distribution. This article shows that any correlation coefficient can be used to fit a simple linear regression line to bivariate data and then the slope and intercept are estimates of standard deviation and location. Because a robust correlation will produce robust estimates, this CES can be recommended as a tool for everyday data analysis. Simulations indicate that the median with this method using a robust correlation coefficient appears to be nearly as efficient as the mean with good data and much better if there are a few errant data points. Hypothesis testing and confidence intervals are discussed for the scale parameter; both normal and Cauchy distributions are covered.