A chapter on estimation techniques has appeared in the edited volume
Regression Analysis and Causal Inference, edited by Henning Best
and Christof Wolf and published by Sage. A companion website is here.
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Estimates (or more correctly: predictions) of parties’ positions in
multiple dimensions in different countries, spanning the decades from
1945 (1920 for the USA) to 2010 is now available
here on my website.
In a recent article published in AJPS it is claimed that Bayesian
estimators have a superior performance in the estimation of the
influence of group-level covariates, especially if the number of
groups/clusters is small. In the paper presented at
EPSA, we show that the problems addressed by
Bayesian techniques can also be adequately addressed by a frequentist
technique, restricted maximum likelihood, without the problems
involved in Bayesian estimation, such as the computational cost and the
need to select an appropriate prior.
A paper entitled Separating Tactical from Sincere Voting: A
Finite-Mixture Discrete-Choice Modelling
presented at the Annual Conference of the Midwest Political Science
Association 2014 in Chicago, Ill. It presents a novel approach to
uncover tactical voting from responses in electoral survey studies. The
basic idea is that the distribution of observed voting decisions is a
finite mixture of non-tactical (aka sincere) and tactical voting
decisions, where tactical voting decisions are characterised by choosing
- in stead of the full choice set - from a restricted consideration set.
This restricted consideration set then contains only those alternatives
(e.g. parties’ candidates) that are considered viable by the voter in
her respective constituency or voting district.