Housing and capital in the 21st Century

Thomas Piketty’s Capital in the 21st Century has attracted public, policy and academic attention. Although there is a growing research literature on the formation, distribution, utilization and wider implications of housing wealth there has been little discussion of Piketty’s work in housing studies. This paper outlines and assesses the major contributions of Piketty, including re-emphasizing distribution and political economy perspectives within economics, modelling growth and distribution, establishing detailed long run patterns of wealth change and policy implications. The paper highlights the significance of shifting housing wealth in increasing inequalities in some countries: housing matters in macro-shifts. We also draw out the implications of house price and wealth growth for the balance of rentier vs. entrepreneurial forms of capitalism. If Piketty’s work is important for housing research, we also argue the converse, that housing research findings can strengthen his analysis. The stylized facts of advanced economy metropolitan growth suggest that housing market processes and wealth outcomes will drive higher inequality and lower productivity into the future unless housing and related policies change markedly. Piketty, strong on evidence and conceptualization is weak on policy development and housing studies can drive more effective assessments of change possibilities

Mechanistic and Correlative Models of Ecological Niches

The suite of factors that drives where and under what conditions a species occurs has become the focus of intense research interest. Three general categories of methods have emerged by which researchers address questions in this area: mechanistic models of species’ requirements in terms of environmental conditions that are based on first principles of biophysics and physiology, correlational models based on environmental associations derived from analyses of geographic occurrences of species, and process-based simulations that estimate occupied distributional areas and associated environments from assumptions about niche dimensions and dispersal abilities. We review strengths and weaknesses of these sets of approaches, and identify significant advantages and disadvantages of each. Rather than identifying one or the other as ‘better,’ we suggest that researchers take great care to use the method best-suited to each specific research question, and be conscious of the weaknesses of any method, such that inappropriate interpretations are avoided

Trade Union Politics as a Countermovement? A Polaniyan Perspective

The article develops a conceptual proposal for the inquiry of trade unions. On the basis of Karl Polanyis theory, four patterns of political mobilization applied by trade unions in the current Transformation are pointed out

The difference that tenure makes

This paper argues that housing tenures cannot be reduced to either production relations or consumption relations. Instead, they need to be understood as modes of housing distribution, and as having complex and dynamic relations with social classes. Building on a critique of both the productionist and the consumptionist literature, as well as of formalist accounts of the relations between tenure and class, the paper attempts to lay the foundations for a new theory of housing tenure. In order to do this, a new theory of class is articulated, which is then used to throw new light on the nature of class-tenure relations

Issues in measuring and modeling poverty

Economists have relied heavily on household incomes or expenditures normalized for differences in household specific prices and demographics in their research and policy advice related to poverty and inequality. Recognizing the conceptual and empirical problems that confound such measures does not mean that they should be ignored. Instead, it indicates the need for supplementary measures to capture the missing items. Implementing a genuinely multidimensional approach will often make the welfare rankings of social states more difficult, but that fact points to the nonrobustness of low-dimensional rankings. This may have its own policy ramifications, with the possibility of correspondence between policy instruments and welfare objectives. The model types used to understand the poverty and inequity determination processes will be affected. Not only will there be more dependent variables to consider, but variables will have potentially complex relationships. These relationships will often be hard to empirically disentangle, despite richer integrated and longitudinal data sets. Such data open rich andrelevant agenda for research into the dynamics of poverty along multiple dimensions. A simultaneous attack on these issues from all three fronts - measurement, modeling, and data - offers hope of establishing a credible empirical foundation for public action in fighting poverty.Services&Transfers to Poor,Environmental Economics&Policies,Health Economics&Finance,Public Health Promotion,Poverty Monitoring&Analysis,Rural Poverty Reduction,Poverty Assessment,Environmental Economics&Policies,Health Economics&Finance,Safety Nets and Transfers

Distributional implications of climate change in India

Global warming is expected to heavily impact agriculture, the dominant source of livelihood for the world's poor. Yet, little is known about the distributional implications of climate change at the sub-national level. Using a simple comparative statics framework, this paper analyzes how changes in the prices of land, labor, and food induced by modest temperature increases over the next three decades will affect household-level welfare in India. The authors predict a substantial fall in agricultural productivity, even allowing for farmer adaptation. Yet, this decline will not translate into a sharp drop in consumption for the majority of rural households, who derive their income largely from wage employment. Overall, the welfare costs of climate change fall disproportionately on the poor. This is true in urban as well as in rural areas, but, in the latter sector only after accounting for the effects of rising world cereal prices. Adaptation appears to primarily benefit the non-poor, since they own the lion's share of agricultural land. The results suggest that poverty in India will be roughly 3-4 percentage points higher after thirty years of rising temperatures than it would have been had this warming not occurred.Climate Change Economics,Climate Change Mitigation and Green House Gases,Science of Climate Change,Rural Poverty Reduction,Regional Economic Development

Institutional theory and legislatures

Institutionalism has become one of the dominant strands of theory within contemporary political science. Beginning with the challenge to behavioral and rational choice theory issued by March and Olsen, institutional analysis has developed into an important alternative to more individualistic approaches to theory and analysis. This body of theory has developed in a number of ways, and perhaps the most commonly applied version in political science is historical institutionalism that stresses the importance of path dependency in shaping institutional behaviour. The fundamental question addressed in this book is whether institutionalism is useful for the various sub-disciplines within political science to which it has been applied, and to what extent the assumptions inherent to institutional analysis can be useful for understanding the range of behavior of individuals and structures in the public sector. The volume will also examine the relative utility of different forms of institutionalism within the various sub-disciplines. The book consists of a set of strong essays by noted international scholars from a range of sub-disciplines within the field of political science, each analyzing their area of research from an institutionalist perspective and assessing what contributions this form of theorizing has made, and can make, to that research. The result is a balanced and nuanced account of the role of institutions in contemporary political science, and a set of suggestions for the further development of institutional theory

Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge

Distributional models provide a convenient way to model semantics using dense embedding spaces derived from unsupervised learning algorithms. However, the dimensions of dense embedding spaces are not designed to resemble human semantic knowledge. Moreover, embeddings are often built from a single source of information (typically text data), even though neurocognitive research suggests that semantics is deeply linked to both language and perception. In this paper, we combine multimodal information from both text and image-based representations derived from state-of-the-art distributional models to produce sparse, interpretable vectors using Joint Non-Negative Sparse Embedding. Through in-depth analyses comparing these sparse models to human-derived behavioural and neuroimaging data, we demonstrate their ability to predict interpretable linguistic descriptions of human ground-truth semantic knowledge.Comment: Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018), pages 260-270. Brussels, Belgium, October 31 - November 1, 2018. Association for Computational Linguistic