POSITIONAL POWER, CLASS, AND INDIVIDUAL EARNINGS INEQUALITY: Advancing New Structuralist Explanations

This article seeks to advance "new structuralist" theory by considering the effects of positional power and class on individual earnings. We contend that positional power, that is the power wielded by workers employed in industries in an interdependent economy, confers upon workers the potential to disrupt system-wide production and creates leverage to demand higher earnings from employers. We demonstrate that positional power, in particular the per worker volume of goods and services received from other industries (or upstream production), increases workers' earnings net of sociodemographic variables and other plausible structural sources of earnings determination. We suggest that the threat of disrupting upstream production holds greater earnings potential than disrupting downstream production because of the profit realization problems associated with the former. We also show that the positive effects of positional power are not evenly distributed across the class structure, but rather are concentrated among non-owning classes who display a social control function in the labor process. We discuss the implications of our research for future new structuralist research.     

Neighborhood history as a factor shaping syringe distribution networks among drug users at a U.S. syringe exchange

Throughout the U.S., high visibility drug markets are concentrated in neighborhoods with few economic opportunities, while drug buyers/users are widely dispersed. A study of Pittsburgh Syringe Exchange participants provides data on travel between and network linkages across neighborhoods with different levels of drug activity. There are distinct racial patterns to syringe distribution activity within networks and across neighborhoods. Pittsburgh's history suggests that these patterns emerge from historical patterns of social and economic development. Study data demonstrate the ability of IDUs to form long-term social ties across racial and geographic boundaries and use them to reduce the risk of HIV transmission.     

Simulation-based sequential Bayesian design

We consider simulation-based methods for exploration and maximization of expected utility in sequential decision problems. We consider problems which require backward induction with analytically intractable expected utility integrals at each stage. We propose to use forward simulation to approximate the integral expressions, and a reduction of the allowable action space to avoid problems related to an increasing number of possible trajectories in the backward induction. The artificially reduced action space allows strategies to depend on the full history of earlier observations and decisions only indirectly through a low dimensional summary statistic. The proposed rule provides a finite-dimensional approximation to the unrestricted infinite-dimensional optimal decision rule. We illustrate the proposed approach with an application to an optimal stopping problem in a clinical trial.     

The great (Australian) property crime decline

Between 1973/74 and 2000, rates of robbery, break and enter, motor vehicle theft and most other major forms of theft rose almost without interruption. Between 2000 and 2009, recorded rates of robbery in Australia fell by 63 per cent, recorded rates of burglary fell by 57 per cent, recorded rates of motor vehicle theft fell by 62 per cent, and recorded rates of all other forms of theft fell by 37 per cent. This article considers possible explanations for the fall in theft and robbery in light of the available evidence. It argues that a reduction in heroin dependence, improvements in economic outcomes, increases in the risk of arrest and imprisonment, and improved vehicle security are likely to have been significant contributors to the decline.     

A PASCAL program for simulating stable random variates

The purposes of this paper are twofold: (1) To correct two errors in the FORTRAN program accompanying a very important algorithm for the generation of random stable variates, and (2) To present a Pascal translation of that FORTRAN program     

A statistical analysis of the handling characteristics of certain sporting arms: frontier regression,the moment of inertia,and the radius of gyration

This article applies composed error frontier regression techniques to estimate the minimal moments of inertia and radii of gyration for a unique and varied sample of shotguns. We find that minimum inertia depends on weight, center of gravity, length of pull, and barrel length, but not on gauge, action type, or number of barrels. Curiously, minimal radii of gyration does not depend on barrel length, suggesting that the constraints on these two related but non-identical measures of handling are significantly different despite their high correlation. We also provide evidence in support of G. T. Garwood's claim that a lower inertia, other things equal, is a market-validated characteristic associated with quality.     

A Second Look at Self‐employment and the Earnings of Immigrants1

Portes and Zhou (1996) present evidence to suggest that self‐employment may impact the economic fortunes of immigrant groups by generating a relatively large number of very high earners. The present analysis seeks to extend and clarify the very high earner thesis using 1990 U.S. census data. Findings across 41 immigrant samples are generally consistent with expectations. However, in the majority of cases the effect of self‐employment is due in whole or substantial part to the earnings of professional specialists. Findings are consistent with a very high earner model of nonprofessional specialist self‐employment in eleven immigrant subsamples.     

THE IMPORTANCE OF SECTORAL AND AGGREGATE SHOCKS IN BUSINESS CYCLES

The theoretical literature on business cycles proposes numerous causes for their occurrence. This paper attempts to measure the relative importance of aggregate, whether real or nominal, and sectoral factors in generating real economic fluctuations, as well as to identify economic variables that are correlated with the various factors. Empirical results indicate that both aggregate and industry-level factors are statistically significant in explaining variations in output with the aggregate factor being the most important. Some evidence is presented that links the aggregate factor with monetary variables.     

A framework for targeting soil conservation policy

This paper presents a comprehensive framework and methodology in an attempt to direct policy solutions to soil and water degradation from water-related soil erosion. The perspective adopted by this research is social science in nature. Past research on the adoption of soil conservation practices has tended to concentrate on the micro (individual) level of inquiry and has tended to ignore environmental (i.e. biophysical) factors. Previous models of the adoption of soil conservation practices are reviewed and critiqued. Based on the strengths and limitations of these approaches, a comprehensive analytical framework that identifies and relates micro (e.g. farm and farmer characteristics) and macro (e.g. institutional arrangements, fiscal and monetary policies, agricultural policies) factors influencing the adoption and continued use of soil conservation measures is proposed. It is hypothesized that economic and institutional constraints will exert the greatest influence on decisions to use land stewardship practices when problem awareness exists at the micro level. Based on this framework, a research methodology is developed to classify the farm population into relatively homogeneous sub-groups based on farmers' receptivity to the adoption and use of currently available and prospective conservation practices. These groupings could then form the basis for targeting a range of policies, programs, and other measures appropriate for each group.     

The Changing Structure of U.S. Agriculture: Dualism Out,Industrialism In

Abstract Between 1982 and 1992, trends in farm structural change resumed patterns that had existed from the Great Depression to the 1970s. That is, farms became fewer and larger. By 1992, the number of American farms declined below two million for the first time since the Civil War. Also, the trend toward dualism noted in the 1970s is over, as the number of small farms again declined rapidly during the 1980s. The trend toward large-scale agriculture is most prominent in the most important agricultural counties.