How Do the Urban Poor Survive? A Comparative Ethnography of Subsistence Strategies in Argentina,Ecuador, and Mexico

Qualitative Sociology - Drawing on ethnographic data collected in three informal communities, one in Argentina, one in México, and one in Ecuador, we address the long-standing question posed...     

How Perceptions Matter: Organizational Vulnerability and Practices of Resilience in the Field of Migration

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article presents a qualitative analysis of the practices of civil society organizations (CSOs) to integrate migrants...     

Beyond Hidden Figures: Shining a Spotlight on Constructed Hierarchies of Gender,Age, and Elementary Mathematics

Gender Issues - This article focuses on conversations about gender and mathematics among other intersecting identities such as age, education level, and professional expertise. I used positioning...     

Random-Time Aggregation in Partial Adjustment Models

Structural econometric auction models with explicit game-theoretic modeling of bidding strategies have been quite a challenge from a methodological perspective, especially within the common value framework. We develop a Bayesian analysis of the hierarchical Gaussian common value model with stochastic entry introduced by Bajari and Hortaçsu. A key component of our approach is an accurate and easily interpretable analytical approximation of the equilibrium bid function, resulting in a fast and numerically stable evaluation of the likelihood function. We extend the analysis to situations with positive valuations using a hierarchical gamma model. We use a Bayesian variable selection algorithm that simultaneously samples the posterior distribution of the model parameters and does inference on the choice of covariates. The methodology is applied to simulated data and to a newly collected dataset from eBay with bids and covariates from 1000 coin auctions. We demonstrate that the Bayesian algorithm is very efficient and that the approximation error in the bid function has virtually no effect on the model inference. Both models fit the data well, but the Gaussian model outperforms the gamma model in an out-of-sample forecasting evaluation of auction prices. This article has supplementary material online.     

A Note on Whittle's Likelihood

The approximate likelihood function introduced by Whittle has been used to estimate the spectral density and certain parameters of a variety of time series models. In this note we attempt to empirically quantify the loss of efficiency of Whittle's method in nonstandard settings. A recently developed representation of some first-order non-Gaussian stationary autoregressive process allows a direct comparison of the true likelihood function with that of Whittle. The conclusion is that Whittle's likelihood can produce unreliable estimates in the non-Gaussian case, even for moderate sample sizes. Moreover, for small samples, and if the autocorrelation of the process is high, Whittle's approximation is not efficient even in the Gaussian case. While these facts are known to some extent, the present study sheds more light on the degree of efficiency loss incurred by using Whittle's likelihood, in both Gaussian and non-Gaussian cases.     

Empirical characteristic function tests for GARCH innovation distribution using multipliers

Goodness-of-fit tests for the innovation distribution in GARCH models based on measuring deviations between the empirical characteristic function of the residuals and the characteristic function under the null hypothesis have been proposed in the literature. The asymptotic distributions of these test statistics depend on unknown quantities, so their null distributions are usually estimated through parametric bootstrap (PB). Although easy to implement, the PB can become very computationally expensive for large sample sizes, which is typically the case in applications of these models. This work proposes to approximate the null distribution through a weighted bootstrap. The procedure is studied both theoretically and numerically. Its asymptotic properties are similar to those of the PB, but, from a computational point of view, it is more efficient.     

CEO satisfaction and intended strategic changes: The moderating role of performance cues

How do CEOs react to attainment discrepancies in their organizations' performance? Scholars have generally argued that (only) when performance falls below a certain aspiration level do CEOs intend to change the organization's strategy. However, empirical evidence on this issue is ambiguous and inconclusive. We address this puzzle directly by studying how CEOs' cognitive interpretations of performance (their satisfaction with the firm's performance) affect the magnitude of intended strategic changes, and we explore the moderating effect of the context (performance compared to the industry) on this relationship. Using a sample of medium-sized organizations, we find that CEOs' satisfaction with performance is negatively related to intended strategic changes, as expected, but only in contexts of poor performance compared to the industry. The negative relationship becomes less pronounced when performance compared to the industry reaches a certain threshold and even appears to reverse when the latter is extremely high. Moreover, exploratory post hoc analyses tentatively suggest the existence of two alternative intended change trajectories: contractive as a reaction to dissatisfaction and poor performance, and expansive as a response to satisfaction and high performance. These findings help to contextualize the effects of attainment discrepancies in light of conventional performance feedback theory and alternative theoretical perspectives.     

School-to-work transitions in times of crisis: the case of Spanish youth without qualifications

This article focuses on the school-to-work transitions of Spanish youth. Herein, we study the pathways followed during a 10-year period by young people who dropped out of school without achieving any qualifications and who did not achieve any at a later date. This is a population aged 26–28 years old with an educational level of ISCED 0–1. The study adopts a plurimethodological approach that includes an initial qualitative phase whose main instrument was the biographical interview and a second phase with a quantitative focus in which data were collected using a questionnaire. The results show the effect of dropping out of education without qualifications on the pathways of the youths as well as their greater vulnerability in the current period of economic crisis, which results in a high percentage of the population that has no employment, education or training. This effect is even greater among women. This study highlights the difficulties associated to returning to education, the reproduction of educational exclusion in the population that did not obtain the diploma corresponding to compulsory secondary education, and a lack of public policies to support this specific population.     

The Central Role of Familial Ethnic Socialization in Latino Adolescents’ Cultural Orientation

The current study utilized an ecological framework to examine the longitudinal interrelations among Latino adolescents’ (N = 323) cultural orientation (i.e., ethnic identity and enculturation), familial ethnic socialization experiences, and generational status. Findings indicated that ethnic identity and enculturation were both predicted by adolescents’ generational status, although some of these relations were indirect via the relation between generational status and familial ethnic socialization. Findings underscore the importance of examining the dimensions of cultural orientation independent of one another and considering the central role of familial socialization practices in these processes. Moreover, the current work provides direction for further theoretical work to advance our understanding of the unique aspects of cultural orientation.