This book provides an economic and econometric analysis of real estate investment and real estate market behaviour. Peijie Wang examines fluctuations in the real estate business to reveal the ...mechanisms governing the interactions between the industry and other sectors of the economy.
Part I: Preliminaries Part II: The Dynamic Behaviour of Economic and Financial Time Series Part III: The Dynamic Behaviour of Real Estate
PulseNet International is a global network dedicated to laboratory-based surveillance for food-borne diseases. The network comprises the national and regional laboratory networks of Africa, Asia ...Pacific, Canada, Europe, Latin America and the Caribbean, the Middle East, and the United States. The PulseNet International vision is the standardised use of whole genome sequencing (WGS) to identify and subtype food-borne bacterial pathogens worldwide, replacing traditional methods to strengthen preparedness and response, reduce global social and economic disease burden, and save lives. To meet the needs of real-time surveillance, the PulseNet International network will standardise subtyping via WGS using whole genome multilocus sequence typing (wgMLST), which delivers sufficiently high resolution and epidemiological concordance, plus unambiguous nomenclature for the purposes of surveillance. Standardised protocols, validation studies, quality control programmes, database and nomenclature development, and training should support the implementation and decentralisation of WGS. Ideally, WGS data collected for surveillance purposes should be publicly available, in real time where possible, respecting data protection policies. WGS data are suitable for surveillance and outbreak purposes and for answering scientific questions pertaining to source attribution, antimicrobial resistance, transmission patterns, and virulence, which will further enable the protection and improvement of public health with respect to food-borne disease.
Agents are often better informed than the clients who hire them and may exploit this informational advantage. Real estate agents have an incentive to convince clients to sell their houses too cheaply ...and too quickly. We test these predictions by comparing home sales in which real estate agents are hired to when an agent sells his own home. Consistent with the theory, we find homes owned by real estate agents sell for 3.7% more than other houses and stay on the market 9.5 days longer, controlling for observables. Greater information asymmetry leads to larger distortions.
Provides a revolutionary conceptual framework and practical tools to quantify uncertainty and recognize the value of flexibility in real estate development This book takes a practical "engineering" ...approach to the valuation of options and flexibility in real estate. It presents simple simulation models built in universal spreadsheet software such as Microsoft Excel®. These realistically reflect the varying and erratic sources of uncertainty and price dynamics that uniquely characterize real estate. The text covers new analytic procedures that are valuable for existing properties and enable a new, more profitable perspective on the planning, design, operation, and evaluation of large-scale, multi-phase development projects. The book thereby aims to significantly improve valuation and investment decision making. Flexibility and Real Estate Valuation under Uncertainty: A Practical Guide for Developers is presented at 3 levels. First, it introduces and explains the concepts underlying the approach at a basic level accessible to non-technical and non-specialized readers. Its introductory and concluding chapters present the important "big picture" implications of the analysis for economics and valuation and for project design and investment decision making. At a second level, the book presents a framework, a roadmap for the prospective analyst. It describes the practical tools in detail, taking care to go through the elements of the approach step-by-step for clarity and easy reference. The third level includes more technical details and specific models. An Appendix discusses the technical details of real estate price dynamics. Associated web pages provide electronic spreadsheet templates for the models used as examples in the book. Some features of the book include: • Concepts and tools that are simple and accessible to a broad audience of practitioners; • An approach relevant for all development projects; • Complementarity with the author's Commercial Real Estate Analysis & Investments—the most-cited real estate investments textbook on the market. Flexibility and Real Estate Valuation under Uncertainty: A Practical Guide for Developers is for everyone studying or concerned with the implementation of large-scale or multi-phase real estate development projects, as well as property investment and valuation more generally.
We present a simple, fully-convolutional model for real-time (<inline-formula><tex-math notation="LaTeX">>30</tex-math> ...<mml:math><mml:mrow><mml:mo>></mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq1-3014297.gif"/> </inline-formula> fps) instance segmentation that achieves competitive results on MS COCO evaluated on a single Titan Xp, which is significantly faster than any previous state-of-the-art approach. Moreover, we obtain this result after training on only one GPU . We accomplish this by breaking instance segmentation into two parallel subtasks: (1) generating a set of prototype masks and (2) predicting per-instance mask coefficients. Then we produce instance masks by linearly combining the prototypes with the mask coefficients. We find that because this process doesn't depend on repooling, this approach produces very high-quality masks and exhibits temporal stability for free. Furthermore, we analyze the emergent behavior of our prototypes and show they learn to localize instances on their own in a translation variant manner, despite being fully-convolutional. We also propose Fast NMS, a drop-in 12 ms faster replacement for standard NMS that only has a marginal performance penalty. Finally, by incorporating deformable convolutions into the backbone network, optimizing the prediction head with better anchor scales and aspect ratios, and adding a novel fast mask re-scoring branch, our YOLACT++ model can achieve 34.1 mAP on MS COCO at 33.5 fps, which is fairly close to the state-of-the-art approaches while still running at real-time.
Cities are always changing: streets, infrastructure, public spaces, and buildings are constantly being built, improved, demolished, and replaced. But even when a new project is designed to improve a ...community, neighborhood residents often find themselves at odds with the real estate developer who proposes it. Savvy developers are willing to work with residents to allay their concerns and gain public support, but at the same time, a real estate development is a business venture financed by private investors who take significant risks. InHow Real Estate Developers Think, Peter Hendee Brown explains the interests, motives, and actions of real estate developers, using case studies to show how the basic principles of development remain the same everywhere even as practices vary based on climate, local culture, and geography. An understanding of what developers do and why they do it will help community members, elected officials, and others participate more productively in the development process in their own communities.
Based on interviews with over a hundred people involved in the real estate development business in Chicago, Miami, Portland (Oregon), and the Twin Cities of Minneapolis and St. Paul,How Real Estate Developers Thinkconsiders developers from three different perspectives. Brown profiles the careers of individual developers to illustrate the character of the entrepreneur, considers the roles played by innovation, design, marketing, and sales in the production of real estate, and examines the risks and rewards that motivate developers as people. Ultimately,How Real Estate Developers Thinkportrays developers as creative visionaries who are able to imagine future possibilities for our cities and communities and shows that understanding them will lead to better outcomes for neighbors, communities, and cities.
This paper examines the impact of real estate prices on firm capital structure decisions. For a typical U.S. listed company, a one-standard-deviation increase in predicted value of firm pledgeable ...collateral translates into a 3 percentage points increase in firm leverage ratio. The identification strategy employs a triple interaction of MSA-level land supply elasticity, real estate prices, and a measure of a firm's real estate holdings as an exogenous source of variation in firm collateral values. Firms significantly change their debt structure in response to collateral value appreciation. The results indicate the importance of collateral values in mitigating potential informational imperfections.
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