Time and exclusion

Drawing on interviews with parents of children with complex disabilities in several school systems in a US state, this paper examines how temporal units such as the school day and school year and practices organized around artifacts like clocks and calendars work as ‘devices of temporal distanciation’ to separate children with disabilities from other children and exclude their families from critical relations with schools. The paper focuses on two kinds of effects: the ways differentiated timetables separate children and the ways constructing school time in bounded, discrete units limits the ability of parents and children to make key elements of their lives visible to the school.     

Playing With Time: Gay Intergenerational Performance Work and the Productive Possibilities of Queer Temporalities

This article examines the tendencies of LGBT intergenerational theater projects. By engaging with ideas of queer time, temporal drag, and the pervasive heteronormative imagery of heritability and inheritance, this article explores the possibility that LGBT intergenerational projects may generate some of the problems they aim to challenge. Through the lens of queer time, the article describes the normativity generated in LGBT intergenerational theater projects as a form of restrictive interpellation. The article explores the temporal complexities at play in such theater productions as The Front Room, a specific LGBT intergenerational theater project performed in the United Kingdom in 2011. The article concludes by noting some ways in which intergenerational theater projects might seek to work through the embodiment of the historical quotidian as a mode of resistance to normativity’s recirculation.     

“Double-dose” English as a strategy for improving adolescent literacy: Total effect and mediated effect through classroom peer ability change

“Double-dose” coursework has become an increasingly popular strategy to assist low-performing students succeed in academic coursework. Chicago implemented a “double-dose” English policy in 2003. This policy not only provided additional instructional time to struggling readers, but also intensified skill-based sorting in English classes. I use policy-induced variation to infer the policy effect on students’ reading achievement and the effect mediated by classroom peer ability change. Results show very weak, but positive effects of taking double-dose English for students with average skills. However, potential benefits of doubled instructional time are likely to be offset by negative effects of declines in classroom peer ability. Students with very weak skills experienced minimal change in classroom peer ability, and two-period coursework is likely to benefit these students.     

Homemaking,Temporality and Later Life

Abstract

While much literature has focused on the meaning of home, relatively little has been conducted on homemaking in later life. This paper demonstrates the importance of time in conceptualizations of home. Using an extensive case study from a multi-interview study with eight older people in England, it is shown that gardening can form the basis of a temporal framework which structures a life. Importantly, gardening can seem essential in homemaking and a reason not to move to residential living. This paper builds on literature that suggests home is a process and that people’s conceptualization and experience of home develop throughout their lives. As ageing and dying have become long and complicated processes, it is argued older people may find this challenging as this makes it difficult to prepare for the end of life.     

Retrospective change detection in categorical time series

The aim of this paper is to propose methods of detecting change in the coefficients of a multinomial logistic regression model for categorical time series offline. The alternatives to the null hypothesis of stationarity can be either the hypothesis that it is not true, or that there is a temporary change in the sequence. We use the efficient score vector of the partial likelihood function. This has several advantages. First, the alternative value of the parameter does not have to be estimated; hence, we have a procedure that has a simple structure with only one parameter estimation using all available observations. This is in contrast with the generalized likelihood ratio-based change point tests. The efficient score vector is used in various ways. As a vector, its components correspond to the different components of the multinomial logistic regression model’s parameter vector. Using its quadratic form a test can be defined, where the presence of a change in any or all parameters is tested for. If there are too many parameters one can test for any subset while treating the rest as nuisance parameters. Our motivating example is a DNA sequence of four categories, and our test result shows that in the published data the distribution of the four categories is not stationary.     

An Adaptive Functional Autoregressive Forecast Model to Predict Electricity Price Curves

We propose an adaptive functional autoregressive (AFAR) forecast model to predict electricity price curves. With time-varying operators, the AFAR model can be safely used in both stationary and nonstationary situations. A closed-form maximum likelihood (ML) estimator is derived under stationarity. The result is further extended for nonstationarity, where the time-dependent operators are adaptively estimated under local homogeneity. We provide theoretical results of the ML estimator and the adaptive estimator. Simulation study illustrates nice finite sample performance of the AFAR modeling. The AFAR model also exhibits a superior accuracy in the forecast exercise of the California electricity daily price curves compared to several alternatives.     

Weighted simulated integrated conditional moment tests for parametric conditional distributions of stationary time series processes

In this article, we propose a weighted simulated integrated conditional moment (WSICM) test of the validity of parametric specifications of conditional distribution models for stationary time series data, by combining the weighted integrated conditional moment (ICM) test of Bierens (1984 Bierens, H. J. (1984). Model specification testing of time series regressions. Journal of Econometrics 26:323–353.[Crossref], [Web of Science ®] , [Google Scholar]) for time series regression models with the simulated ICM test of Bierens and Wang (2012 Bierens, H. J., Wang, L. (2012). Integrated conditional moment tests for parametric conditional distributions. Econometric Theory 28:328–362.[Crossref], [Web of Science ®] , [Google Scholar]) of conditional distribution models for cross-section data. To the best of our knowledge, no other consistent test for parametric conditional time series distributions has been proposed yet in the literature, despite consistency claims made by some authors.     

Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty: Formulations and empirical evaluation

We present a time-domain goodness-of-fit (gof) diagnostic test that is based on signal-extraction variances for nonstationary time series. This diagnostic test extends the time-domain gof statistic of Maravall (2003 Maravall, A. (2003). A class of diagnostics in the ARIMA-model-based decomposition of a time series. Memorandum, Bank of Spain. Available at http://www.bde.es/servicio/software/tramo/diagnosticsamb.pdf [Google Scholar]) by taking into account the effects of model parameter uncertainty, utilizing theoretical results of McElroy and Holan (2009 McElroy, T., Holan, S. (2009). A local spectral approach for assessing time series model misspeci?cation. Journal of Multivariate Analysis 100:604–621.[Crossref], [Web of Science ®] , [Google Scholar]). We demonstrate that omitting this correction results in a severely undersized statistic. Adequate size and power are obtained in Monte Carlo studies for fairly short time series (10 to 15 years of monthly data). Our Monte Carlo studies of finite sample size and power consider different combinations of both signal and noise components using seasonal, trend, and irregular component models obtained via canonical decomposition. Details of the implementation appropriate for SARIMA models are given. We apply the gof diagnostic test statistics to several U.S. Census Bureau time series. The results generally corroborate the output of the automatic model selection procedure of the X-12-ARIMA software, which in contrast to our diagnostic test statistic does not involve hypothesis testing. We conclude that these diagnostic test statistics are a useful supplementary model-checking tool for practitioners engaged in the task of model-based seasonal adjustment.     

Youth studies,citizenship and transitions: towards a new research agenda

A key goal in youth studies is to gain holistic understandings of what it means to be young. However, a significant impediment to achieving this has been the tendency of youth studies to develop along siloed and stratified subfields. In keeping with the goal of creating more productive dialogue between subfields in youth studies, this paper examines the intersections between research in youth citizenship and youth transitions to consider the fresh insights and cross fertilisations that such an analysis may yield. This examination reveals a sense of dissatisfaction in both subfields with traditional normative and linear models of citizenship and transitions which rely on step-wise and sequential notions of time. In response, the paper advances a new research agenda which posits more temporally, spatially and relationally-sensitive understandings of youth citizenship and transition. Drawing on Ingold (2007. Lines: A brief history. London: Routledge), this agenda proposes the use of three alternative metaphors – genealogical, wayfaring and threads – which could hold the potential to unsettle the normativity and linearity of previous youth transitions and citizenship frameworks, and thus provide deeper insights into what it means to live and to be young citizens in times of transition.