New sources of housing market risk: Asset pricing for the US state‐level housing markets

2020 ◽  
Vol 23 (1) ◽  
pp. 135-174 ◽  
Author(s):  
MeiChi Huang
2018 ◽  
Vol 8 (4) ◽  
pp. 481-492
Author(s):  
Bilgi Yilmaz ◽  
◽  
A. Sevtap Selcuk-Kestel

2013 ◽  
Author(s):  
Amandeep Singh ◽  
Amrit Nanda ◽  
Charan Singh
Keyword(s):  

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Firoza Akhter ◽  
Maurizio Mazzoleni ◽  
Luigia Brandimarte

In this study, we explore the long-term trends of floodplain population dynamics at different spatial scales in the contiguous United States (U.S.). We exploit different types of datasets from 1790–2010—i.e., decadal spatial distribution for the population density in the US, global floodplains dataset, large-scale data of flood occurrence and damage, and structural and nonstructural flood protection measures for the US. At the national level, we found that the population initially settled down within the floodplains and then spread across its territory over time. At the state level, we observed that flood damages and national protection measures might have contributed to a learning effect, which in turn, shaped the floodplain population dynamics over time. Finally, at the county level, other socio-economic factors such as local flood insurances, economic activities, and socio-political context may predominantly influence the dynamics. Our study shows that different influencing factors affect floodplain population dynamics at different spatial scales. These facts are crucial for a reliable development and implementation of flood risk management planning.


Author(s):  
Mostafa Abbas ◽  
Thomas B. Morland ◽  
Eric S. Hall ◽  
Yasser EL-Manzalawy

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.


Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Hao Meng ◽  
Wen-Jie Xie ◽  
Zhi-Qiang Jiang ◽  
Boris Podobnik ◽  
Wei-Xing Zhou ◽  
...  

1978 ◽  
Vol 10 (3) ◽  
pp. 247-266 ◽  
Author(s):  
J W Byler ◽  
S Gale

A conception of the housing market as a lagged, dynamic matching process is presented as an alternative to the conventional microeconomic formulation. Various components of changes in occupancy patterns are identified, in a general multidimensional accounting framework, as a means for the structuring of observations of household and dwelling-unit characteristics of urban populations. Parameters for several stochastic models of housing-market phenomena are derived from the account-based representation. Finally, potential planning applications of these accounting frameworks are explored together with conditions for their adoption.


2011 ◽  
Vol 7 (3) ◽  
pp. 392-423 ◽  
Author(s):  
Federico Fabbrini

Voting rights – Citizens and aliens – European multilevel architecture – US federal system – Comparative methodology – Different regulatory models for non-citizens suffrage at the state level in Europe – Impact of supranational law – Challenges and tensions – Analogous dynamics in the US constitutional experience – Recent European legal and jurisprudential developments in comparative perspective – What future prospects for citizenship and democracy in Europe?


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