Managing Portfolio Lives: Flexibility and Privilege Amongst Upscale Restaurant Workers in Los Angeles

The unstable, even precarious labor conditions of many frontline service jobs in the United States should render them undesirable to upwardly mobile young workers. Yet for many, these types of jobs complement, rather than infringe upon, their broader lifestyles. Drawing on six years of ethnographic research in upscale Los Angeles restaurants, I show how front-of-the-house service workers navigate portfolio lives—sustained though shifting arrangements of labor and leisure that blur the boundaries between the two. I describe how these workers, who are mostly young, white, and college educated, leverage both personal resources and workplace structures to weave their restaurant jobs into their larger webs of activities. I close by discussing how the concept of portfolio lives extends theories of boundaryless work careers to the urban service economy, though these dynamic assemblages remain subject to class and race inequalities.

     

Nationwide Newspaper Coverage of Same-Sex Marriage: A Community Structure Approach

Using the community structure approach to compare coverage of same-sex marriage in leading U.S. newspapers in 35 major cities nationwide, all articles of 250+ words were sampled from a 5-year span of January 1, 2007, to June 23, 2011, for a total of 577 articles. Articles were coded for “prominence” and “direction,” and then combined into a “Media Vector” score for each newspaper, ranging from .4523 to ?.1067. Initial Pearson correlations revealed three clusters had significant relationships: stakeholder (stakeholder proportions correlating with favorable coverage of stakeholder concerns), buffer (privilege correlating with favorable coverage of human rights issues), and vulnerability (vulnerable populations correlating with coverage favoring their perspectives). The stakeholder cluster includes: (percentage 25–44: r = .506, p = .001; gay market index: r = .432, p = .005; percentage 65+: r = ?.397, p = .009; percentage voting Democratic: r = .335, p = .025; percentage voting Republican: r = ?.330, p = .026). The buffer hypothesis was also confirmed (percentage college educated: r = .465, p = .002; percentage family income of $100,000+: r = .383, p = .012; and percentage professional/technical occupations: r = .300, p = .040). One vulnerability indicator, percentage below the poverty line, was also confirmed (r = ?.297, p = .041). A varimax rotated factor analysis and regression yielded 2 factors accounting for more than 29% of the variance: privilege/gay marketing/political identity, 24%, and Evangelicals, 5%.     

拉丁美洲的东亚移民

帝国主义通过扭曲遭受其影响的国家的经济,导致人口迁移与大量移民。19世纪,帝国主义势力渗透到远东的许多国家。在帝国主义与中国的贸易关系中,英国对茶叶的需求量相当大(其次是丝绸),但除了清政府需要的白银外,没有其他可交换的物品。为防止国库的耗尽和平衡贸易条款,英国商人于是寻求扩大中国的鸦片市场。东印度公司首先抢占了这个市场,然后鸦片贸易便被私人企业所垄断。在最大的经销商中,英国的贾丁与马西森公司位列其中(Hanes and Sanello,2002)。中国人的禁烟努力导致了1839—1842年和1856—1860年的两次鸦片战争,中国被迫割让香港给…     

Linear Increments with Non‐monotone Missing Data and Measurement Error

Linear increments (LI) are used to analyse repeated outcome data with missing values. Previously, two LI methods have been proposed, one allowing non‐monotone missingness but not independent measurement error and one allowing independent measurement error but only monotone missingness. In both, it was suggested that the expected increment could depend on current outcome. We show that LI can allow non‐monotone missingness and either independent measurement error of unknown variance or dependence of expected increment on current outcome but not both. A popular alternative to LI is a multivariate normal model ignoring the missingness pattern. This gives consistent estimation when data are normally distributed and missing at random (MAR). We clarify the relation between MAR and the assumptions of LI and show that for continuous outcomes multivariate normal estimators are also consistent under (non‐MAR and non‐normal) assumptions not much stronger than those of LI. Moreover, when missingness is non‐monotone, they are typically more efficient.     

Testing Hypotheses in Nonparametric Models of Production

Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiency of production. Practitioners use DEA estimators far more frequently than FDH estimators, implicitly assuming that production sets are convex. Moreover, use of the constant returns to scale (CRS) version of the DEA estimator requires an assumption of CRS. Although bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods exist for making consistent inference about differences in mean efficiency across groups of producers or for testing hypotheses about model structure such as returns to scale or convexity of the production set. We use central limit theorem results from our previous work to develop additional theoretical results permitting consistent tests of model structure and provide Monte Carlo evidence on the performance of the tests in terms of size and power. In addition, the variable returns to scale version of the DEA estimator is proved to attain the faster convergence rate of the CRS-DEA estimator under CRS. Using a sample of U.S. commercial banks, we test and reject convexity of the production set, calling into question results from numerous banking studies that have imposed convexity assumptions. Supplementary materials for this article are available online.