The new dependency: Technological change and socioeconomic restructuring in Latin America

This article analyzes the implications for the Latin American societies of the ongoing restructuring of the world economy, which is driven by the accelerated application of science and technology to the production process. After a short review of the current developments at the regional level, the article focuses on Mexico and Bolivia. These two extreme cases, ranging from high-technology industries on the United States-Mexico border to the growth of an underground economy based in the production of coca and cocaine, allow the analysis of new forms of dependency that are already constraining the economic adjustment and the democratization process in Latin America.     

Anti‐American Resistance in Latin America: An Issue of Sovereignty,Militarization, and Neoliberalism

In recent years, Latin America has experienced a shift toward the left, bringing attention to the significance of US‐Latin America relations and the history of resistance that these dynamics have engendered. While the voices and faces of these resistance movements may be perceived as new, their roots date back to the turn of the 20th century. The emergence of an anti‐American narrative from diverse sectors in Latin America as part of a response to US policies – political, military, and economic – provides an opportunity for reflection on this history. By examining US policy towards Latin America, and the emerging forms of resistance from local sectors in response to policies on sovereignty, militarism, and neoliberalism, we can better situate the ‘anti‐American’ resistance movements of today.     

Long- and short-term affective states in happiness: Age and sex comparisons

Data from 690 persons in three adult age groups were used to evaluate the generality of a componential model of happiness (Kozma et al., 1990). The model postulates that long- and short-term affective states combine in an additive manner to produce current happiness. The short-term components should be more susceptible to environmental manipulation than the long-term ones and should change more readily with an appropriate experimental manipulation. Subscales of the Memorial University Mood Scale (MUMS) were used to assess short-term affect while the experience subscales of the Memorial University of Newfoundland Scale of Happiness (MUNSH) and Diener's Long-term Satisfaction Scale were used to measure long-term affect. Overall current happiness was assessed by a seven-point avowed happiness rating scale. The Velten mood induction procedure was used to manipulate current affective state. In five of six comparisons, changes on short-term components were significantly greater than on long-term components. Age differences in reactivity to mood induction emerged only when a negative induction procedure was followed by a positive one. Under these conditions, the youngest cohort responded more consistently than the oldest cohort. An additive model, based on long- and short-term affect, age, and sex produced the best explanation for current happiness.     

Perceived factors of family planning clinic performance and service quality

As part of a larger operations research project, this 1990 study analyzed the performance of the Philippine Department of Health's (DOH) family planning (FP) clinics. Specific study objectives were 1) to measure acceptor targets, servicing capacity utilization, outreach, and costs; 2) to determine what providers believed affected performance; 3) to record which quality indicator providers use; and 4) to determine the perceptions of acceptors about clinic personnel, the clinic as a FP outlet, FP service processing, and FP service quality. Data were gathered from clinic records and from sample surveys in 25 clinics in four specified locations. Eight clients were sampled from each of the 100 clinics. It was found that clinic staff accepted low attainment of FP acceptor targets and that clinic capacity utilization levels were at 25% of capacity. Providers were unaware of the number of potential FP acceptors in their areas and had no information about the costs of running their clinics. The FP clinic managers identified 34 major determinants of clinic performance, but more than half reported that they had very little control over these determinants. The providers described quality service from the point of view of the acceptors and described the quality of a clinic in terms of the minimal physical characteristics required. The acceptor survey revealed that acceptor satisfaction depends upon 1) clinic accessibility and lay-out, 2) intensive personal contact, and 3) clinic infrastructure. The study uncovered a need for the DOH to institute management training programs for clinic managers and to provide managers with the resources and personnel to shift priorities in favor of FP coverage and prevalence. Managers, who are resource allocators, must also receive information about the costs of FP services in their clinics. In addition, the DOH's determination that its FP program would be facility- rather than community-based should be modified to incorporate community outreach elements. The DOH can also make a big impact on perceptions of quality (of both providers and acceptors) by improving clinic conditions to meet basic standards. Once these basic needs are met, additional needs of acceptors can and must be addressed.     

Nonlinear filters based on taylor series expansions ∗

The nonlinear filters based on Taylor series approximation are broadly used for computational simplicity, even though their filtering estimates are clearly biased. In this paper, first, we analyze what is approximated when we apply the expanded nonlinear functions to the standard linear recursive Kalman filter algorithm. Next, since the state variable α_t and α_t-t are approximated as a conditional normal distribution given information up to time t - 1 (i.e., I_t-1) in approximation of the Taylor series expansion, it might be appropriate to evaluate each expectation by generating normal random numbers of α_t and α_t-1 given I_t-1 and those of the error terms θ and η_t. Thus, we propose the Monte-Carlo simulation filter using normal random draws. Finally we perform two Monte-Carlo experiments, where we obtain the result that the Monte-Carlo simulation filter has a superior performance over the nonlinear filters such as the extended Kalman filter and the second-order nonlinear filter.     

The Variable Sampling Interval (VSI) in an Analysis of Taguchi's On-line Quality Monitoring Procedure for Variables

The procedure of on-line process control for variables proposed by Taguchi consists of inspecting the mth item (a single item) of every m items produced and deciding, at each inspection, whether the mean value is increased or not. If the value of the monitored statistic is outside of the control limits, one decides the process is out-of-control and the production is stopped for adjustment; otherwise, it continues. In this article, a variable sampling interval (with a longer L and a shorter m ≤ L) chart with two set of limits is used. These limits are the warning (±W) and the control (±C), where W ≤ C. The process is stopped for adjustment when an observation falls outside of the control limits or a sequence of h observations falls between the warning limits and the control limits. The longer sample interval is used after an adjustment or when an observation falls inside the warning limits; otherwise, the short sampling interval is used. The properties of an ergodic Markov chain are used to evaluate the time (in units) that the process remains in-control and out-of-control, with the aim of building an economic–statistical model. The parameters (the sampling intervals m and L, the control limits W and C and the length of run h) are optimized by minimizing the cost function with constraints on the average run lengths (ARLs) and the conformity fraction. The performance of the current proposal is more economical than the decision taken based on a sequence of length h = 1, L = m, and W = C, which is the model employed in earlier studies. A numerical example illustrates the proposed procedure.     

Competing for jobs: Labor queues and gender sorting in the hiring process

While much research has documented the pattern and extent of sex segregation of workers once they are employed, few studies have addressed the pre-hire mechanisms that are posited to produce sex segregation in employment. While the notion of a labor queue—the rank order of the set of people that employers choose among—plays a prominent role in pre-hire accounts of job sex sorting mechanisms, few studies have examined the ways in which job candidates are sorted into labor queues. In this paper, we explore the mechanisms by which labor queues contribute to the gendering of jobs by studying the hiring process for all jobs at a call center. Being placed in a queue has a clear gendering effect on the hiring process: the sex distribution of applicants who are matched to queues and those who are rejected at this phase diverge, and among those assigned to queues, women are prevalent in queues for low pay, low status jobs. The screening process also contributes to the gendering of the population of hires at this firm. Females are more prevalent among hires than they are among candidates at initial queue assignment. Among high status jobs, however, males are more prevalent than females. Moreover, there are important wage implications associated with matching to queues. While there are large between-queue sex differences in the paid wages associated with allocation to queues, once allocated to queues the wage differences between male and female candidates are nil. Consequently, the roots of gender wage inequality in this setting lie in the initial sorting of candidates to labor queues.     

Poverty and inequality in European regions

The European Union Statistics on Income and Living Conditions (EU-SILC) is the main source of information about poverty and economic inequality in the member states of the European Union. The sample sizes of its annual national surveys are sufficient for reliable estimation at the national level but not for inferences at the sub-national level, failing to respond to a rising demand from policy-makers and local authorities. We provide a comprehensive map of median income, inequality (Gini coefficient and Lorenz curve) and poverty (poverty rates) based on the equivalised household income in the countries in which the EU-SILC is conducted. We study the distribution of income of households (pro-rated to its members), not merely its median (or mean), because we regard its dispersion and frequency of lower extremes (relative poverty) as important characteristics. The estimation for the regions with small sample sizes is improved by the small-area methods. The uncertainty of complex nonlinear statistics is assessed by bootstrap. Household-level sampling weights are taken into account in both the estimates and the associated bootstrap standard errors.