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The UK government has pledged to end child poverty by 2020. It is not known how far the measure of child poverty used by the government corresponds to differences in children’s experiences. Qualitative research on poverty has not generally been informed by the insights of dynamic research, which investigates duration, timing and transitions, among other temporal topics. Qualitative and quantitative methods have not generally been combined in social policy research on poverty, which limits the explanatory power of both. The thesis presents an analysis of the correspondence or lack of correspondence between qualitative and quantitative research on child poverty as a temporal experience. Semi-structured life history interviews were conducted with 15-21 year olds in Britain with experience of child poverty in the period 1997-2001. These were analysed alongside secondary analysis of the British Household Panel Survey (1991-2005). The qualitative respondents lived in households which took part in the survey, so there is a direct link between the two methods. The assumptions, methods and findings of dynamic poverty research are in general found to be a simplified and decontexualised version, rather than a misrepresentation of, the qualitative findings. Time formed an important part of the experience of poverty for children. It was not possible to fully match together exits from poverty with perceived improvements in circumstances, and entries into poverty with perceived deteriorations in circumstances, though this was partly due to limited recall and lack of contemporaneous knowledge. Nor were these changes clearly placed in time by respondents, in terms of duration and timing. Although most respondents did not explicitly engage with the idea of poverty as a personal experience, poverty-like accounts of disadvantage and difference were found in the accounts of all respondents. Thus, there is evidence for and against the way child poverty is currently measured.

This thesis investigates the sensitivity of derived monetary valuations of the well-being effects of non-market goods, by considering, in turn, the four components that contribute to these calculations. Comparisons are made to the current subjective well-being (SWB) literature by altering one component at a time in a willingness to pay (WTP) function, in addition to varying the estimator used when calculating WTP. The first component varied is the measure of income used; a more robust, up-to-date measure is proposed that takes into account household size, economies of scale and composition, plus other improvements over current income scaling approaches including equivalence scales. Secondly, anticipation and adaptation effects are examined, in order to allow for the dynamics of SWB in WTP valuations. Thirdly, due to the ordered nature of the dependent variable, the effects of both cardinal and ordinal models on WTP derivations are investigated. Such models include the ordered logit fixed effects (FE) model (see for example Das and Van Soest (1999), Ferrer-i-Carbonell and Frijters (2004) and Baetschmann et al. (2011)). The final input to be varied is whether income endogeneity is accounted for. A control function approach is used in this case. A key finding is that all four inputs in the WTP calculation contribute significantly to the estimated WTP values. However, the degree to which each input influences the variation in WTP values differs substantially. The three main contributing factors to WTP variations are the income variable chosen, anticipation and adaptation effects, and controlling for endogeneity. Additionally, this thesis proposes a new way to define WTP that is also valid for ordered estimators. Whilst the standard WTP approach relies simply on coefficient ratios at a point in time, the method proposed here uses the finding that statistically significant anticipation and adaptation effects, along with adaptation to all non-market events (except for unemployment) suggest that there are concerns with taking WTP values as yearly valuations that assume constant effects on SWB. By instead defining WTP as the summation of the value of all WTP effects over all lag and lead effect periods, the total value of an event can be calculated. This definition presents further weaknesses of the original method by showing that because of significant lag and lead effects for events such as divorce and widowhood, these events have substantially larger WTP values than first thought. This leads to the major finding in this study that rank orders are not preserved when controlling for income endogeneity, even when comparing two model specifications that are identical in all other respects. Therefore, despite absolute WTP valuations appearing more similar for linear and ordered estimators when a more appropriate model specification is in place, the rank orders are affected. This finding argues against papers such as Powdthavee and van den Berg (2011) that find that rank orders are preserved for WTP valuations when modelling SWB. In conclusion, given rank orders are generally not preserved when a small change is made in the model specification, the validity of the WTP method is significantly reduced. Finally, the above methodology is applied to education, with the main contribution to the education literature being that the positive effects on SWB from education only exist in terms of lead effects.