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In recent years, short-term home rental companies such as Airbnb and Vacation Rentals by Owner (VRBO) have grown in popularity throughout the United States and the world. The lack of regulation of this rapid growth, which stemmed from the legal grey area these rentals fall under, caused some states to adopt specific regulatory policies. These regulatory policies attempt to better monitor this sector, to tax rental earnings, and to reduce perceived negative externalities to this new market. This thesis researches the benefits and costs that short-term rentals (STRs) provide to cities and the regulatory implications on the growing rental market. Using census data along with a STR regulatory index developed by the R Street Institute that measure city-level regulations, this paper presents evidence that city-level regulations of STRs were largely unpredictable. Although no widespread common factors explain regulatory decisions, local sales tax rates, residents' political policy preferences, city population age, and owner-occupied median home values were found to have some influence in explaining variations among cities in short-term rental regulation.
The report investigates the impacts of short-term rental services (STRs), such as Airbnb, Homeaway, etc., on the residential housing market and hotel/accommodation market in the city of Seattle, Washington. Our primary goal is to examine critiques against STRs to assess their empirical validity in a single case study. The paper utilizes data on from the American Housing Survey and Federal Financial Examination Council's Home Mortgage Disclosure Act Aggregate Reports as well as proprietary data from STR providers and the hotel industry for the city. First, we conduct simple Pearson's Product-Moment Correlation tests of STR listings with owner-occupancy, investment mortgage activity, and unit vacancy. We find positive correlation between STRs and owner-occupancy and find negative correlation between STRs and investment mortgage activity and unit vacancy. Second, we examine the spatial distribution of STR listings and their spatial pricing characteristics, comparing them with those of the local hotel market in an attempt to detect 'demand creation' versus demand 'market capture'. We use a Spatially Auto Regressive model to produce a standardized spatial dependence parameter, estimating both Full Maximum Likelihood and Bootstrap Errors for both the independent full samples of local block groups and the coincident small samples. In the second set of tests, we find a low degree of spatial coincidence, a greater degree of spatial diversity in STR listings (compared to hotels), and no conclusive evidence of market capture by STRs. Our conclusion is a clear lack of evidence supporting the critiques of STRs in the Seattle market. We argue there is initial evidence that STRs may support home ownership and that they serve fundamentally different segments of the accommodation market.
From analyzing potential properties to effectively managing your listings, this book is your one-stop resource for making a profit with short-term rentals! Airbnb, Vrbo, and other listing services have become massively popular in recent years--why not tap into the goldmine? Whether you're new to real estate investing or you want to add a new strategy to your growing portfolio, vacation rentals can be an extremely lucrative way to add an extra income stream--but only if you acquire and manage your properties correctly. Traditional rental properties are a great way to create wealth, but short-term rentals can bring in five times more cash flow than their long-term rental counterparts. Avery Carl, CEO and Founder of the Short Term Shop, will show you how to identify, acquire, and manage a short-term rental from anywhere in the country, plus how to avoid common pitfalls and overcome limitations that keep many would-be investors from ever getting started! In this book, you'll learn how to: Identify the best markets for short-term rental investing Analyze the potential income and profitability of a short-term rental property Self-manage a short-term rental right from your smartphone Build a local boots-on-the-ground team for an out-of-state investment Automate your self-management systems Use the income from short-term rentals to scale your investment portfolio
This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
The discussion of where people live and how people pay for their housing has undergone a significant shift. Until the mortgage crisis erupted in 2008, the housing policy of most nations focused on increasing home ownership. There had been very little discussion about rental housing, less about social housing, and virtually none about public housing. The mortgage crisis showed the challenges inherent in pushing for home ownership for all. With homes going into foreclosure and with credit tightening in many countries, the need for rental housing increased dramatically. However, most countries are only beginning to consider supporting rental housing as a shelter option. This book is an effort to bring rental housing to the forefront of the housing agenda and to provide general guidance to policy makers. The information it provides can assist key players in housing markets--government officials, private rental property owners, financiers, and nongovernmental organizations--in including rental housing as a critical housing option and in having an informed discussion on how best to stimulate this sector.
Marcus Warren's book provides a broad coverage of economic theory, analysis and policy relevant to most undergraduate students studying economics as part of their degree. Specifically it is designed for students studying for property and business related courses and is a vital purchase for all first year students and some second year students involved in these disciplines. It is also relevant for accountancy, business and marketing students studying economics as one or two of their modules. The main feature of this book is the inclusion of an application for students on property surveying courses, building surveying courses and rural land management students as well as some pure business examples for the business students. These applications will cover the main markets for this book at the end of each theory section. The text is clear, concise and includes real life examples and case studies to back up the theory presented. It is global in its appeal, especially relevant for the UK, Europe and the Commonwealth.
Providing students with a solid grounding in the economic analysis of the law, this reader brings together edited versions of diverse and challenging journal articles into a unified collection. Chosen to provoke thought and discussion, these carefully streamlined articles apply economic theories to many aspects of the law, from intellectual property, corporate finance, and contracts to property rights, family law, and criminal law. Provides real-life examples and implications of economic theory. Creates a unified vision of the law, showing the interconnections between the various fields. Covers a broad range of topics, from intellectual property and corporate finance to family and criminal law. Encourages intuitive understanding and applications of the economic principles, due to reduced mathematical content.
The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.