Cointegrated VARIMA Models: Specification and Simulation

In this note, we show how specify cointegrated vector autoregressive-moving average models and how they can be used to generate cointegrated time series.     

Chilean Adaptation and Validation of the Fisher Divorce Adjustment Scale–Short Form

The aim of this study was to determine the psychometric properties of a short version of the Fisher Divorce Adjustment Scale (FDAS–SF; Fisher, 1978) in the Chilean context. Participants were 260 individuals who were divorced or separated. The FDAS–SF included 22 of the original 100 items, and its factorial structure was evaluated using exploratory and confirmatory factor analysis. Instead of the 6 original subscales proposed by its author, the structure that showed the best fit to the data was composed of 5 subscales: self-worth, disentanglement from the ex-partner, anger, grief, and social trust. The social self-worth subscale was excluded. Reliability analyses revealed good internal consistency of the subscales and adequate convergent validity with depression, anxiety, stress, and life satisfaction. Given the psychometric properties of this short version, it can be concluded that the FDAS–SF can be used in the Chilean context to evaluate the adjustment to divorce and separation.     

Towards a comprehensive green infrastructure typology: a systematic review of approaches,methods and typologies

There is no consensus on a comprehensive classification for green infrastructure (GI). This is a consequence of the diversity of disciplines, application contexts, methods, terminologies, purposes and valuation criteria for which a GI typology is required. The aim of this systematic literature review is to evaluate the existing evidence on how GI is being categorised and characterised worldwide. We reviewed a total of 85 studies from 15 countries that were analysed for contextual trends, methods, parameters and typologies. Results show that relevant literature lacks a common terminology and that a universal typology for all scenarios is impractical. Analysis reveals that GI can be organised into four main GI categories: (a) tree canopy, (b) green open spaces, (c) green roofs and (d) vertical greenery systems (facades/walls). Green open spaces and tree canopy attracted the attention of researchers due to their complexity, variability and important roles in GI planning. Evidence suggests that a ternary approach in terms of the functional (purpose, use, services), structural (morphology) and configurational (spatial arrangements) attributes of GI should be applied for a more comprehensive classification. Although this approximation is inherently generic, since it can be used across different research disciplines, it is also sufficiently specific to be implemented for individual scopes, scenarios and settings. Further research is needed to develop a typology capable of responding to particular research aims and performance analyses based upon the findings discussed in this paper.     

US and them: Job quality differences between natives and immigrants in Europe

Using microdata from the European Union Labour Force Survey (EU-LFS) and aggregate indicators of labour market institutions, this article compares the job quality of native and non-native workers across European countries and analyses the impact of the institutional settings on the job quality differential between both groups. The LFS is used to measure a job quality index for the period 2005–2017. We find that some immigrant groups fare worse than natives, the contribution of the “composition effect” to explain this differential is large, and the institutional framework affects the immigration gap in job quality. In particular, some labour market institutions (more centralized wage bargaining, stricter employment protection legislation) tend to be detrimental for immigrants relative to natives, while integration policies seem to work well in reducing these differences.     

Bounds on Average and Quantile Treatment Effects on Duration Outcomes Under Censoring,Selection, and Noncompliance

Abstract

We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously: self-selection into the spell of interest, endogenous censoring of the duration outcome, and noncompliance with the assigned treatment. Ignoring any of these issues could yield biased estimates of the effects. Notably, the proposed bounds do not impose the independent censoring assumption—which is commonly used to address censoring but is likely to fail in important settings—or exclusion restrictions to address endogeneity of censoring and selection. Instead, they employ monotonicity and stochastic dominance assumptions. To illustrate the use of these bounds we assess the effects of the Job Corps (JC) training program on its participants’ last complete employment spell duration. Our estimated bounds suggest that JC participation may increase the average duration of the last complete employment spell before week 208 after randomization by at least 5.6 log points (5.8%) for individuals who comply with their treatment assignment and experience a complete employment spell whether or not they enrolled in JC. The estimated quantile treatment effects suggest the impacts may be heterogeneous, and strengthen our conclusions based on the estimated average effects.     

What is Recklessness in Scientific Research? The Frank Sauer Case

On May 22, 2017, administrative law Judge Leslie Rogall of the Department of Health and Human Services’ Departmental Appeals Board, Civil Remedies Division, ruled in favor of the Office of Research Integrity (ORI) concerning its decision to charge former University of California at Riverside biochemistry professor Frank Sauer with research misconduct for fabricating or falsifying digital image data included in three papers and seven grant applications submitted to the National Institutes of Health. More specifically, Sauer was deemed responsible for manipulating, reusing, and falsely labeling images of autoradiograms and gels in his research in epigenetics. One month after this decision, ORI announced its final ruling concerning Sauer, which barred him from serving in any advisory capacity to the Public Health Services and required him to retract affected papers. The case raises some interesting and important questions concerning research integrity because it focused on the legal issue of what constitutes recklessness in scientific research.