Parameter Estimation for Hidden Markov Models with Intractable Likelihoods

Approximate Bayesian computation (ABC) is a popular technique for analysing data for complex models where the likelihood function is intractable. It involves using simulation from the model to approximate the likelihood, with this approximate likelihood then being used to construct an approximate posterior. In this paper, we consider methods that estimate the parameters by maximizing the approximate likelihood used in ABC. We give a theoretical analysis of the asymptotic properties of the resulting estimator. In particular, we derive results analogous to those of consistency and asymptotic normality for standard maximum likelihood estimation. We also discuss how sequential Monte Carlo methods provide a natural method for implementing our likelihood‐based ABC procedures.     

Racism,class ethos and place: the value of context in narratives about asylum‐seekers

The British public view asylum‐seekers in generally negative terms. Yet whilst there are an abundance of reports and opinion polls that measure levels of hostility in order to fuel political ‘debate’ very little is known about how asylum seekers are spoken about in more quotidian contexts. Based on an ethnographic study of racism in Southend‐on‐Sea, Essex this paper identifies two kinds of narrative (abstract truths and context‐dependent stories) commonly used by established members of the community to speak about asylum‐seekers. The paper then seeks to explain why more affluent, suburban residents of the town tend to draw upon the abstract narrative while less wealthy, centrally located residents are more likely to regale context‐dependent stories about asylum seekers. An explanation for this socio‐spatial phenomenon is constructed around a Bourdieusian theory of practice that unravels local class relations and maps out a field for local symbolic prestige. Finally this microanalysis is used as a springboard to consider the wider relationship between racist narratives and social and cultural reproduction.     

The Influence of Context on the Strategic Decision‐Making Process: A Review of the Literature

This paper critically reviews the strategic decision‐making process literature, with a specific focus on the effects of context. Context refers to the top management team, strategic decision‐specific characteristics, the external environment and firm characteristics. This literature review also develops an illustrative framework that incorporates these four different categories of contextual variables that influence the strategic decision‐making process. As a result of the variety and pervasiveness of contextual variables featured within the literature, a comprehensive and up‐to‐date review is essential for organizing and synthesizing the extant literature to explicate an agenda for future research. The purpose of this literature review is threefold: first, to critically review the strategic decision‐making process literature to highlight the underlying themes, issues, tensions and debates in the field; second, to identify the opportunities for future theory development; and third, to state the methodological implications arising from this review.