Research Series: Faculty of Arts, Humanities & Social Sciences
http://hdl.handle.net/10344/558
2020-04-08T22:58:27ZPartner choice and parameter estimates: modelling the effect of preferences
http://hdl.handle.net/10344/8277
Partner choice and parameter estimates: modelling the effect of preferences
Halpin, Brendan
Assortative mating, the process through which people interactively choose each other as spouses, is a
complex, consequential and informative phenomenon.1 It has important consequences for the structure of
society, for inequality and integration, and it tells a lot about social structures, patterns of interactions and
preferences. However, it is a complex process, and while tempting it is problematic to read preferences
directly from the empirical outcomes. The mapping of preferences to outcomes in a process subject to
constraints is not straightforward. Outcomes are constrained in complex ways, not least the gendered
distribution of the characteristics of interest, the competition among peers for alters with the desired
characteristics, and the fact that alters are agents with preferences too. Additionally, the fact that the
process is dynamic, where the context changes continually, not only because of external historical reasons,
but also endogenously, as the distribution of single people changes as others marry.
peer-reviewed
2019-01-01T00:00:00ZCluster analysis stopping rules in Stata
http://hdl.handle.net/10344/5492
Cluster analysis stopping rules in Stata
Halpin, Brendan
Analysts doing cluster analysis sometimes want the data to tell them the optimum number
of clusters. Common "stopping rules" use the Calinski-Harabasz pseudo-F statistic
and Duda-Hart indices, which are based on squared Euclidean distances between cases.
Cluster analysis operates on a pairwise matrix of distances between the objects clusters,
which are usually created from the observed variables. However, approaches such as expert
judgement or algorithmic pattern-recognition (as used for instance in sequence analysis)
often output matrices of pairwise similarity or difference whose relationship to the
observed variables is much less direct. Built-in Stata utilities allow calculation of the CH
and DH indices when cluster analysis starts from variables, but not with cluster analysis
that starts from a pairwise distance matrix (unless the distances are squared Euclidean distances
defined on variables which are still available). In this note I present two small Stata
utilities that will calculate the CH and DH statistics from the distance matrix, if the distances
are squared Euclidean. If the distances have another metric, these utilities can be
seen as calculating a pseudo-CH pseudo-F or pseudo-DH statistic, potentially extending
their use to new applications.
non-peer-reviewed
2016-01-01T00:00:00ZMICT: multiple imputation for categorical time-series
http://hdl.handle.net/10344/4647
MICT: multiple imputation for categorical time-series
Halpin, Brendan
The MICT package provides a method for multiple imputation for categorical
time-series data such as lifecourse or employment-status histories
that preserves longitudinal consistency, using a monotonic series of imputations.
It allows flexible imputation specifications, with a model appropriate
to the target variable (mlogit, ologit etc.). Where transitions are substantially
less frequent than once per time-unit, and where missingness tends
to be consecutive (as is typical of lifecourse data), it produces imputations
with better longitudinal consistency than mi impute or ice.
non-peer-reviewed
2015-01-01T00:00:00ZReasonable people v the sinister fringe: interrogating the framing of Ireland’s water charge protestors through the media politics of dissent
http://hdl.handle.net/10344/4481
Reasonable people v the sinister fringe: interrogating the framing of Ireland’s water charge protestors through the media politics of dissent
Power, Martin J.; Haynes, Amanda; Devereux, Eoin
In this research article we explore the manner in which a particular discursive
device, the “sinister fringe” was deployed in national news media coverage of
protests against the introduction of water charges in Ireland. We use this analysis as
a lens through which to examine news media treatment of the water protests more
generally, and as a means to interrogate divergences in the mainstream media’s
framing of the movement. We ground our interpretation in the contemporary Irish
context of austerity and crisis, which we understand as linked to the overarching
discourse of neoliberalism which dominates Irish political and economic life
(Dukelow 2012). As such, this analysis of news media frames also references
discourses about these protests which are produced and circulated by politicians.
Our interest in how such discourses contribute to and reproduce hegemony is
influenced by both Neo-Marxist and Foucauldian approaches (see Van Dijk, 1998;
Deacon et al. 1999, p.147). Our conclusions speak to the currency of the protest
paradigm as a means of understanding news media reporting of protest. We raise
concerns regarding the effects of this dominant frame on deliberative democracy. We
conclude that the media practices and values which lend this paradigm, (and the
neoliberal status quo), its resilience, are in turn a product of the impacts of
neoliberalism on the political economy of media organisations.
non-peer-reviewed
2015-01-01T00:00:00Z