Educational Research - the Ethics and Aesthetics of Statistics
Educational Research - the Ethics and Aesthetics of Statistics
Educational Research - the Ethics and Aesthetics of Statistics
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7 To Frame <strong>the</strong> Unframable: Quantifying Irregular Migrants’ Presence 99<br />
related to estimating irregular migrants has not prevented policy makers from focusing<br />
on this area. Paying lip service to unreliable figures is having far-reaching<br />
consequences. Before approaching this issue, I will consider, what is said in <strong>the</strong>se<br />
reports <strong>and</strong> <strong>the</strong> conclusions that have been drawn from <strong>the</strong> findings.<br />
7.2 Techniques for Estimating Irregular Migration Numbers<br />
A lot <strong>of</strong> creativity is put into action to estimate numbers <strong>of</strong> irregular migrants. The<br />
list <strong>of</strong> different techniques that can be used is long <strong>and</strong> varied. Without going too<br />
deeply into <strong>the</strong> particularities <strong>of</strong> different techniques <strong>and</strong> <strong>the</strong> problems each presents<br />
us with, an overview <strong>of</strong> methods is outlined here. Then attention is given to some<br />
examples <strong>of</strong> <strong>the</strong> most widespread methods <strong>and</strong> how <strong>the</strong>y are applied.<br />
In general, <strong>the</strong>re is a consensus on <strong>the</strong> classification <strong>of</strong> various techniques. Recent<br />
reports <strong>of</strong> <strong>the</strong> Cl<strong>and</strong>estino Project (Kraler & Vogel, 2008; Vogel & Kovacheva,<br />
2008; Picum, 2009) <strong>and</strong> <strong>the</strong> Home Office (Woodbridge, 2005; Pinkerton et al.,<br />
2004) all start from <strong>the</strong> distinction between ‘stocks’ <strong>and</strong> ‘flows’, in <strong>the</strong> line <strong>of</strong> earlier<br />
research (among o<strong>the</strong>rs Delauney & Tapinos, 1998; Pinkerton, McLaughlan,<br />
& Salt, 2004; J<strong>and</strong>l, 2004). This fundamental distinction is made in analogy with<br />
data on legal migration <strong>and</strong> refers to different statistical concepts: stocks (e.g. <strong>of</strong><br />
irregular residents or migrant workers) refer to a number <strong>of</strong> people that are present<br />
in a country at a particular point in time, while flows (e.g. <strong>of</strong> illegal entrants or<br />
migrants ‘overstaying’) refer to movements during a certain period. Flow estimates<br />
thus refer to <strong>the</strong> number <strong>of</strong> migrants crossing <strong>the</strong> border during a period<br />
in time. Estimations are mainly based on border apprehension data or entry-exit<br />
statistics. Given <strong>the</strong> volatile nature <strong>of</strong> migration flows, <strong>the</strong> scarcity <strong>of</strong> reliable indicators<br />
<strong>and</strong> <strong>the</strong> dearth <strong>of</strong> appropriate methods for estimating flows, most efforts have<br />
so far concentrated on estimating stocks ra<strong>the</strong>r than flows. Methods for estimating<br />
stocks <strong>of</strong> irregular migrants can be divided into direct <strong>and</strong> indirect approaches.<br />
Direct measurement is based on data that ‘captures’ <strong>the</strong> subject <strong>of</strong> research directly.<br />
Numbers <strong>of</strong> irregular migrants taken from administrative statistics based on refusals,<br />
infractions or regularisations are multiplied to estimate <strong>the</strong> total number in <strong>the</strong> population.<br />
Indirect estimates do not rely on such data. They mainly start from general<br />
data on <strong>the</strong> population to estimate irregular migrant numbers (e.g. by expecting<br />
similar proportions <strong>of</strong> irregular migrants or calculating residues in <strong>of</strong>ficial registers).<br />
Direct estimation approaches can be fur<strong>the</strong>r classified into multiplier methods<br />
(among which simple multiplier models, capture-recapture models <strong>and</strong> models<br />
using a comparison <strong>of</strong> administrative registers <strong>and</strong> r<strong>and</strong>om effect mixed modelling),<br />
methods <strong>of</strong> self-identification <strong>and</strong> snowball sampling methods. Among <strong>the</strong> indirect<br />
approaches, residual methods, demographic methods, subjective estimations<br />
or indicator methods, econometric methods on <strong>the</strong> size <strong>and</strong> structure <strong>of</strong> shadow<br />
economies, comparisons <strong>of</strong> immigration <strong>and</strong> emigration statistics, flow-stock methods<br />
<strong>and</strong> methods based on indirect inferences can be distinguished. It is not <strong>the</strong> aim<br />
here to provide an extensive discussion <strong>of</strong> all <strong>the</strong> methods mentioned above (for