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International Journal of
            Population Studies                                                    Drivers of reproductive delay in the UK



            the  gap  for men.  Furthermore, there is  some  evidence   priorities between men and women, and those with or
            suggesting that education is not the main reason for the   without a university degree. Specifically, it addresses the
            fertility gap in men (Berrington & Pattaro, 2014, Morgan   following questions:
            & Rackin, 2010).                                   (i)  What are the barriers to reproduction in the UK?
              The empirical literature discussed so far is helpful   (ii)  How do these barriers rank in importance, and what is
            in identifying factors that are associated with fertility   the distance between them?
            timing and drivers of the fertility gap; however, they are   (iii) How much reproductive  time could potentially  be
            almost always retrospective studies (even the longitudinal   recuperated if the barriers were removed or reduced?
            ones) that correlate socioeconomic characteristics from   (iv)  How are these different or similar for men and women,
            an individual’s past with eventual family timing and   and by education?
            size. They are also necessarily out of date because the   Here, “reproductive time” refers to the fertile (fecund)
            career trajectories and other decisions that people make   period an individual has; the window of reproductive
            over the course of their lives are only investigated once   opportunity that is available to attain one’s desired family
            their completed fertility is known. Correlations between   size. Because men, women, and educational groups have
            completed family size and career and other life milestones   different needs, question 4 can only be answered in a partial,
            tell us about fertility decisions from two or three decades   more qualitative way. The four demographic groups were
            ago, at best. To really understand the factors standing   administered four different DCEs meaning that systematic
            in the way of having a(nother) baby, we need to capture   comparisons cannot be made across groups although one
            the decision-making process in motion. By applying an   can still get some insight into the differences.
            innovative methodology, discrete choice experiments   Ethics approval for this study was granted by the
            (DCEs), we can identify the barriers facing aspirant parents   University of Oxford’s Ethics Committee (Ref No.: SAME_
            (first time parents or those who want another child) in the   C1A_21_079).
            UK right now.
              One criticism of the fertility gap literature is that stated   2. Data and methods
            ideal family sizes are difficult to estimate or may not exist   This study was partly conducted as a methodological
            at all. The cognitive-social model (Bachrach & Morgan,   test case to establish whether DCEs are well-suited to
            2013) posits that even if they do, it is likely that fertility   modeling reproductive decision-making. The method
            decisions change over the life course (Bernardi  et al.,   is prevalent in the field of health economics where it is
            2015). The present study avoids these limitations because   applied to better understand patients’ and health workers’
            the DCE asks people what is standing in the way now.   needs (Oliver et al., 2019) and is fundamental to informing
            What things do they need to have in place before they feel   health economics policy (van den Broek-Altenburg
            ready to have a child? This is regardless of what family size   & Atherly, 2020). DCEs were originally adapted from
            they said they wanted when they were younger. This study   conjoint analysis, which consumer behavior researchers
            gathered data from participants who were open to having   use to determine which features that consumers want
            a(nother) child and the DCE identifies the barriers to that   from products where it is not usually cost-effective or
            life event, whether or not they are on track to attaining   practical to develop many prototypes. Political scientists
            their achieved family size, that is, whether they have a   routinely use it for understanding voting behavior and
            personal fertility gap, or not. Theories of planned behavior   it is also commonly used in transport research. Discrete
            and other rational choice models assume that the decision   choice models can be applied to any complex decision-
            to have a child is calculated and a product of conscious   making process but until now have never been applied to
            decision-making. While the DCE unavoidably asks people   understanding fertility behaviour. This study provides the
            to consciously think of the barriers to their having a child,   first evidence of DCE efficacy for unpacking the processes
            it also harnesses people’s less conscious decisions by   that go into reproductive decision-making and ultimately
            presenting the choices in relatively quick succession (see   drive reproductive postponement.
            methods) (Hensher, 2014).
              This study contributes to our understanding of the   2.1. DCE methodology
            drivers of fertility postponement. It applies an innovative   A DCE is a multidimensional experimental method for
            methodology, never used before to answer such questions,   eliciting stated preferences. It allows the identification and
            to identify the barriers to reproduction currently in the   evaluation of a set of factors relevant to a particular decision-
            UK. Furthermore, this study was conducted for four   making process, known as  attributes. It can determine
            demographic groups to gain insight into the different   the relative salience of the attributes and estimate how


            Volume 11 Issue 3 (2025)                       127                        https://doi.org/10.36922/ijps.3600
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