Limiting the Collective Right to Exclude

For decades, society’s disparate interests and priorities have stymied attempts to resolve issues of housing affordability and equity. Zoning law and servitude law, both of which have been robustly empowered by decades of jurisprudence, effectively grant communities the legal right and ability to exclude various sorts of residences from their wealthiest neighborhoods. Exclusion by housing type results in exclusion of categories of people, namely, renters, the relatively poor, and racial minorities. Although our society’s housing woes may indeed be intractable if we continue to treat a group’s right to exclude with the level of deference that such exclusionary efforts currently enjoy, this treatment is unjustifiable. Courts should acknowledge and consider the broad public and private costs that are created by a group’s unfettered right to exclude. A more balanced approach would weigh individual autonomy to control property and various public harms resulting from community exclusions against legitimate community needs to exclude certain residents and uses. Judicial limits of the collective right to exclude may enable real progress toward fair and affordable housing to be achieved at last

The Economics of Suicide: An Empirical Study

This study uses economic theory to investigate the impact of socioeconomic factors on the suicide rate in the United States. Using a utility maximization framework based on Hamermesh and Soss’ 1974 model, a panel data set from 2000-2010 is constructed for the 50 states and District of Columbia. This research adds to the literature in the field by focusing on the more recent past and providing additional variables consistent with today’s challenges. The results from the multiple regression analysis can be used to advocate policies that may reduce the suicide rate in the future

“There Was Nothing in Sight but Nature, Nothing...”: Nineteenth-Century Gendered Perceptions of the Overland Trail

One hundred and seventeen years ago, between 1841 and 1867, the Overland Trail saw approximately 350,000 Oregon and California bound North Americans traverse its landscape. This westward migration painted the American frontier with a white sea of wagon covers, spotted the grassy plains with brown patches of oxen herds, and lighted the night sky with open cooking fires. Men and women Overlanders experienced this life-changing event in different ways, which are crucial to understanding the dynamics and interaction between these people and their frontier context. Gender-specific roles and social standards of masculinity and femininity carried from emigrants’ previous lives influenced their perception of the Overland Trail, interaction with the environment, and their future on the western frontier. These influences affected the settlers throughout the entire journey, beginning with their decision for such a move

Chronicle of a Pandemic Foretold. CEPS Policy Insights No 2020-05 / March 2020

In just a few weeks, COVID-19 appeared in China and quickly spread to the rest of the world, including Europe and the United States. Many have rushed to describe the outbreak as a ‘black swan’ – an unpredictable event with extremely severe consequences. However, COVID-19 was not only predictable ex post: it was amply predicted ex ante. This allows us to draw some preliminary lessons: • First, economic policy will need to shift from its current focus on efficiency, towards a greater emphasis on resilience and sustainability. • Second, a more centralised governance to address health emergencies is needed. • Third, Europe should create a centre for the prevention of large-scale risks. • Fourth, digital technologies, if handled with care, can be an important part of both a mitigation and a response strategy. • Fifth, Europe should improve its science advice and communication functions. Finally, there are many ways to pursue enhanced resilience and responsiveness, but not all of them are compatible with sustainability and democratic values. The challenge is to find an adequate policy mix, which safeguards individual rights and liberties, protects the economy, and at the same time strengthens government preparedness for cases of epidemics and pandemics

Information Recovery from Pairwise Measurements

A variety of information processing tasks in practice involve recovering $n$ objects from single-shot graph-based measurements, particularly those taken over the edges of some measurement graph $\mathcal{G}$. This paper concerns the situation where each object takes value over a group of $M$ different values, and where one is interested to recover all these values based on observations of certain pairwise relations over $\mathcal{G}$. The imperfection of measurements presents two major challenges for information recovery: 1) $\textit{inaccuracy}$: a (dominant) portion $1-p$ of measurements are corrupted; 2) $\textit{incompleteness}$: a significant fraction of pairs are unobservable, i.e. $\mathcal{G}$ can be highly sparse. Under a natural random outlier model, we characterize the $\textit{minimax recovery rate}$, that is, the critical threshold of non-corruption rate $p$ below which exact information recovery is infeasible. This accommodates a very general class of pairwise relations. For various homogeneous random graph models (e.g. Erdos Renyi random graphs, random geometric graphs, small world graphs), the minimax recovery rate depends almost exclusively on the edge sparsity of the measurement graph $\mathcal{G}$ irrespective of other graphical metrics. This fundamental limit decays with the group size $M$ at a square root rate before entering a connectivity-limited regime. Under the Erdos Renyi random graph, a tractable combinatorial algorithm is proposed to approach the limit for large $M$ ($M=n^{\Omega(1)}$), while order-optimal recovery is enabled by semidefinite programs in the small $M$ regime. The extended (and most updated) version of this work can be found at (http://arxiv.org/abs/1504.01369).Comment: This version is no longer updated -- please find the latest version at (arXiv:1504.01369

Asteroseismology of Solar-Type and Red-Giant Stars

We are entering a golden era for stellar physics driven by satellite and telescope observations of unprecedented quality and scope. New insights on stellar evolution and stellar interiors physics are being made possible by asteroseismology, the study of stars by the observation of natural, resonant oscillations. Asteroseismology is proving to be particularly significant for the study of solar-type and red-giant stars. These stars show rich spectra of solar-like oscillations, which are excited and intrinsically damped by turbulence in the outermost layers of the convective envelopes. In this review we discuss the current state of the field, with a particular emphasis on recent advances provided by the Kepler and CoRoT space missions and the wider significance to astronomy of the results from asteroseismology, such as stellar populations studies and exoplanet studies.Comment: The following paper will appear in the 2013 volume of Annual Reviews of Astronomy and Astrophysics (88 pages, 7 figures; references updated; further corrections to typos during galley-proof review