Re-interpreting sub-group inequality decompositions

The authors propose a modification to the conventional approach of decomposing income inequality by population sub-groups. Specifically, they propose a measure that evaluates observed between-group inequality against a benchmark of maximum between-group inequality that can be attained when the number and relative sizes of groups under examination are fixed. The authors argue that such a modification can provide a complementary perspective on the question of whether a particular population breakdown is salient to an assessment of inequality in a country. As their measure normalizes between-group inequality by the number and relative sizes of groups, it is also less subject to problems of comparability across different settings. The authors show that for a large set of countries their assessment of the importance of group differences typically increases substantially on the basis of this approach. The ranking of countries (or different population groups) can also differ from that obtained using traditional decomposition methods. Finally, they observe an interesting pattern of higher levels of overall inequality in countries where their measure finds higher between-group contributions.Inequality,Poverty Impact Evaluation,Governance Indicators,Rural Poverty Reduction,Services&Transfers to Poor

Why does the Engel method work? Food demand, economies of size and household survey methods

Estimates of household size economies are needed for the analysis of poverty and inequality. This paper shows that Engel estimates of size economies are large when household expenditures are obtained by respondent recall but small when expenditures are obtained by daily recording in diaries. Expenditure estimates from recall surveys appear to have measurement errors correlated with household size. As well as demonstrating the fragility of Engel estimates of size economies, these results help resolve a puzzle raised by Deaton and Paxson (1998) about differences between rich and poor countries in the effect of household size on food demand

The use of photogrammetry in the conservation of painted outdoor sculpture:Adressing Jean Dubutffet’s <i>Jardin d'Email</i>

This research evaluates the use of innovative imaging technolo- gies to aid the conservation of large-scale contemporary painted outdoor sculpture. It explores photogrammetry and image- based 3D modelling as tools during the conservation of Jardin d’émail (1974) by Jean Dubuffet (1901-1985), owned by the Kröller-Müller Museum.In partnership with the 4D Research Lab at the University of Amsterdam, 3D digital models of the sculpture and two scale-models were created.This research assesses the effectiveness of using 3D digital models to inform the repainting of the sculpture’s black lines on white background as part of the treatment process. The use of photogrammetry to document the patterns and forms of the sculpture and scale-models is also evaluated. The creation of 3D digital models from the photogrammetric data allows for devi- ation analysis to be carried out, highlighting where areas of the scale-model and sculpture deviate significantly. The 3D models were uploaded on an app for use on tablets to enable responsive access during treatment. This research showed that photogram- metry is not only useful for large scale sculpture documentation, but can also aid the treatment of outdoor sculpture by producing geometrically accurate representations of the scale-model to be used as a reference during repainting

The use of photogrammetry in the conservation of painted outdoor sculpture:Adressing Jean Dubutffet’s <i>Jardin d'Email</i>

This research evaluates the use of innovative imaging technolo- gies to aid the conservation of large-scale contemporary painted outdoor sculpture. It explores photogrammetry and image- based 3D modelling as tools during the conservation of Jardin d’émail (1974) by Jean Dubuffet (1901-1985), owned by the Kröller-Müller Museum.In partnership with the 4D Research Lab at the University of Amsterdam, 3D digital models of the sculpture and two scale-models were created.This research assesses the effectiveness of using 3D digital models to inform the repainting of the sculpture’s black lines on white background as part of the treatment process. The use of photogrammetry to document the patterns and forms of the sculpture and scale-models is also evaluated. The creation of 3D digital models from the photogrammetric data allows for devi- ation analysis to be carried out, highlighting where areas of the scale-model and sculpture deviate significantly. The 3D models were uploaded on an app for use on tablets to enable responsive access during treatment. This research showed that photogram- metry is not only useful for large scale sculpture documentation, but can also aid the treatment of outdoor sculpture by producing geometrically accurate representations of the scale-model to be used as a reference during repainting

International patent families: from application strategies to statistical indicators

This paper provides an in-depth analysis of the characteristics of international patent families, including their domestic component. We exploit a relatively under-studied feature of patent families, namely the number of patents covering the same invention within a given jurisdiction. Using this information, we highlight common patterns in the structure of international patent families, which reflect both the patenting strategies of innovators and the peculiarities of the different patent systems. While the literature has extensively used family size, i.e. the number of countries in which a given invention is protected, as a measure of patent value, our results suggest that the number of patent filings in the priority country within a patent family as well as the timespan between the first and last fillings within a family are other insightful indicators of the value of patented innovations

Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (i) identifies actual clusters of patents: i.e. technological branches, and (ii) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the {citation vector}, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action