CLOSE‐UPS AND THE SCALE OF ECOLOGY: LAND USES AND THE GEOGRAPHY OF SOCIAL CONTEXT AND CRIME

Whereas one line of recent neighborhood research has placed an emphasis on zooming into smaller units of analysis such as street blocks, another line of research has suggested that even the meso‐area of neighborhoods is too narrow and that the area surrounding the neighborhood is also important. Thus, there is a need to examine the scale at which the social ecology impacts crime. We use data from seven cities from around the year 2000 to test our research questions using multilevel negative binomial regression models (N = 73,010 blocks and 8,231 block groups). Our results suggest that although many neighborhood factors seem to operate on the microscale of blocks, others seem to have a much broader impact. In addition, we find that racially and ethnically homogenous blocks within heterogeneous block groups have the most crime. Our findings also show the strongest results for a multitude of land‐use measures and that these measures sharpen some of the associations from social characteristics. Thus, we find that accounting for multiple scales simultaneously is important in ecological studies of crime.     

DELINQUENCY AND GENDER MODERATION IN THE MOVING TO OPPORTUNITY INTERVENTION: THE ROLE OF EXTENDED NEIGHBORHOODS

A long history of research has indicated that neighborhood poverty increases youth's risk taking and delinquency. This literature predominantly has treated neighborhoods as independent of their surroundings despite rapidly growing ecological evidence on the geographic clustering of crime that suggests otherwise. This study proposes that to understand neighborhood effects, investigating youth's wider surroundings holds theoretical and empirical value. By revisiting longitudinal data on more than 1500 low‐income youth who participated in the Moving to Opportunity (MTO) randomized intervention, this article explores the importance of extended neighborhoods (neighborhoods and surroundings) and different concentrated disadvantage configurations in shaping gender differences in risk taking and delinquency. The results from two‐stage, least‐squares analyses suggest that the extended neighborhoods matter and they matter differently by gender. Among girls, extended neighborhoods without concentrated disadvantage were associated with lower risk‐taking prevalence than extended neighborhoods with concentrated disadvantage. In contrast, among boys, localized concentration of disadvantage was associated with the highest prevalence of risk taking and delinquency. Interactions between the immediate and surrounding neighborhoods were similarly associated with differential opportunity and social disorganization mediators. Among the more critical potential mediators of the link between localized disadvantage and boys’ risk taking were delinquent network ties, strain, and perceived absence of legitimate opportunities for success.     

Timing as a source of regulatory influence: A technical elite network analysis of global finance

Rules governing the international financial system are the subject of some of the most intense distributional battles waged in any area of global governance. Who wins and who loses such battles – and why? I develop a novel analytical framework – technical elite network (TEN) theory – which explains the widely varying levels of influence that stakeholders enjoy over global financial standards. TEN theory draws attention to how issue‐specific characteristics of international finance – in particular, its highly technical and complex nature – shape the distributional consequences of global regulatory processes. It posits that such characteristics influence distributional outcomes by (i) affecting who claims first‐mover position and, thus, sets the agenda in global financial rulemaking, and (ii) ensuring that proposals made by first movers are increasingly difficult to alter at later stages of rulemaking. I provide empirical evidence for the theory by examining two regulatory regimes that are central to the efficiency and stability of the global financial system: the Basel Committee on Banking Supervision and the International Accounting Standards Board.     

Efficient compensation for employees' inventions

We analyze a legal reform concerning employees' inventions in Germany. Using a simple principal-agent model, we derive a unique efficient payment scheme: a bonus which is contingent on the project value. We demonstrate that the old German law creates inefficient incentives even if litigation cost is zero. However, the new law (concerning university employees) and the pending reform proposal (concerning other employees) also fail to implement first-best incentives. With suboptimal incentives to spend effort on inventions, the government's goal, an increase in the number of patents, is likely to be missed. A part of this research was done while I enjoyed the hospitality of the University of California in Santa Barbara (Economics Department) and Berkeley (Law School). Financial aid by the Thyssen Stiftung is gratefully acknowledged. classification K 12 . J 33 . C 72     

论我国所有人抵押制度

所有人抵押制度在我国担保法中未有明确表述,虽然有关司法解释有触及,但很不完善。为了论证建立独立的所有人抵押制度的必要性,作者首先介绍了国外一些国家的相关立法趋势,然后从理论和我国实际情况两方面进行了论述。最后作者对所有人抵押制度的具体构建提出了自己的见解。     

固定形式印刷品广告发展现状及趋势

在我国固定形式印刷品广告的发展基本上可分为两个阶段:一是兴起阶段,二是发展阶段。无论是兴起阶段还是发展阶段,固定形式印刷品广告都呈现出良好的发展前景,但也存在不少问题。固定形式印刷品广告低廉的成本及极强的针对性、亲切感和真实性,必将受到企业经营者的青睐,具有一定的市场发展空间和生存环境。     

Cross-national comparison of homicide: Age/sex-adjusted rates using the 1980 U.S. homicide experience as a standard

Cross-sectional studies of crime have typically relied on crude crime rates when making comparisons between countries. Crude rates control for population size but implicitly assume that all members of the population are equally at risk. Empirical studies have shown that, cross-nationally, risk varies by age and sex. Standardization of crime rates removes the confounding effects of variable age and sex population distributions. Since age/sex-specific crime rates are generally unavailable for many countries, the method of indirect standardization is the most desirable technique. Age/sex-adjusted homicide rates for 76 countries are presented, and two comparative measures are suggested. It is shown that while the United States has a higher homicide rate than all but 15 countries; in most cases, the magnitude of the difference, not controlling for age/sex differences, is overestimated. Crude rates underestimate differences between the United States and countries with higher rates of homicide.     

THE INTERACTION OF ANTISOCIAL PROPENSITY AND LIFE‐COURSE VARYING PREDICTORS OF DELINQUENT BEHAVIOR: DIFFERENCES BY METHOD OF ESTIMATION AND IMPLICATIONS FOR THEORY*

Recent criminological research has explored the extent to which stable propensity and life‐course perspectives may be integrated to provide a more comprehensive explanation of variation in individual criminal offending. One line of these integrative efforts focuses on the ways that stable individual characteristics may interact with, or modify, the effects of life‐course varying social factors. Given their consistency with the long‐standing view that person–environment interactions contribute to variation in human social behavior, these theoretical integration attempts have great intuitive appeal. However, a review of past criminological research suggests that conceptual and empirical complexities have, so far, somewhat dampened the development of a coherent theoretical understanding of the nature of interaction effects between stable individual antisocial propensity and time‐varying social variables. In this study, we outline and empirically assess several of the sometimes conflicting hypotheses regarding the ways that antisocial propensity moderates the influence of time‐varying social factors on delinquent offending. Unlike some prior studies, however, we explicitly measure the interactive effects of stable antisocial propensity and time‐varying measures of selected social variables on changes in delinquent offending. In addition, drawing on recent research that suggests that the relative ubiquity of interaction effects in past studies may be partly from the poorly suited application of linear statistical models to delinquency data, we alternatively test our interaction hypotheses using least‐squares and tobit estimation frameworks. Our findings suggest that method of estimation matters, with interaction effects appearing readily in the former but not in the latter. The implications of these findings for future conceptual and empirical work on stable propensity/time‐varying social variable interaction effects are discussed.     

THE CONTEXT OF MARRIAGE AND CRIME: GENDER,THE PROPENSITY TO MARRY,AND OFFENDING IN EARLY ADULTHOOD*

Marriage is central to theoretical debates over stability and change in criminal offending over the life course. Yet, unlike other social ties such as employment, marriage is distinct in that it cannot be randomly assigned in survey research to more definitively assess causal effects of marriage on offending. As a result, key questions remain as to whether different individual propensities toward marriage shape its salience as a deterrent institution. Building on these issues, the current research has three objectives. First, we use a propensity score matching approach to estimate causal effects of marriage on crime in early adulthood. Second, we assess sex differences in the effects of marriage on offending. Although both marriage and offending are highly gendered phenomena, prior work typically focuses on males. Third, we examine whether one's propensity to marry conditions the deterrent capacity of marriage. Results show that marriage suppresses offending for males, even when accounting for their likelihood to marry. Furthermore, males who are least likely to marry seem to benefit most from this institution. The influence of marriage on crime is less robust for females, where marriage reduces crime only for those with moderate propensities to marry. We discuss these findings in the context of recent debates concerning gender, criminal offending, and the life course.     

Exploring Some Analytical Characteristics of Finite Mixture Models

Finite mixture models have become increasingly prevalent in criminology over the past two decades. Yet there is no consensus about the appropriate criterion for model selection with finite mixture specifications. In this paper, we use simulation evidence to examine model selection criteria. Our focus is on mixture models for event count data like those often encountered in criminology. We use two indices to measure model selection performance. First, we examine how often each criterion chooses the correct specification. Then, we investigate how closely the finite mixture models selected by these criteria approximate the true mixing distribution used to simulate the event count data. We consider three sets of simulations. In the first set, the underlying model is itself a three component Poisson-based finite mixture model. In the two other sets of simulations, the underlying distribution of the Poisson rate parameter follows a continuous distribution. The analysis shows that both AIC and BIC perform well under certain sets of circumstances likely to be encountered by criminologists.