We are exploring how information and communication technology (ICT) use affects the work lives of real estate agents, the process of selling/buying houses, and the overall structure of the residential real estate industry. Earlier stages of our work involved intensive field research on how real estate agents use ICT. In this paper, we report on the design and analysis of a pilot survey of 868 a...

Searching real estate property is uncommon task for most of the users. As a result, the user is not familiar with the detailed search condition which is useful for search. In this paper, we propose to use voice recognition as a support for real estate property search. First user set vague search condition with GUI. Then system listens conversation between users. From the conversation, system ex...

In the aftermath of the recent boom and bust of US real estate, both a refinement and a deeper understanding of real estate valuation methods have become critical concerns across a number of broad urban-related academic fields. Out of this we see three major trends in the field of real estate valuation research: (1) the expansion of spatial econometrics; (2) the recognition of the differences b...

Does the existence of formal title to land and real estate matter for the distribution of wealth? This paper reviews the empirical literature on the economic impact of land and real estate administration systems across countries. This paper argues that a functioning credit market for secured credit is necessary to realize the full benefits of legal title to private real estate. This paper also ...

The New Economy, founded on Information and Communications Technology (ICT), is a cornerstone of technology-driven frameworks for economic growth, and can not only potentially recombine existing physical spaces to produce new urban forms, but also impact on real estate, in terms of space requirements and speed of turnover. The paper examines some key conceptual frameworks and argues for a 'soci...

Financial engineers developed quantitative models that help firms making financial decisions in the face of risk and uncertainty. Z-score model is one of the most frequently used risk early warning models in financial engineering, but it needs further research to prove whether it is suitable for China’s burgeoning real estate enterprises. The financial data of China’s 40 listed real estate comp...

This paper employ the discrete hidden Markov model (HMM) in order to capture information about the Markov switching model’s inner states that is not directly observable, and to pre-detect the real estate business cycle’s volatility trend. The empirical results show that this HMM can capture the asymmetry in the duration of states. Compared with the real estate leading indicator announced by the...

Although property markets represent a large proportion of total wealth in developed countries, the real-estate derivatives markets are still lagging behind in volume of trading and liquidity. Over the last few years there has been increased activity in developing derivative instruments that can be utilised by asset managers. In this paper, we discuss the problems encountered when using property...

This paper experiments an artificial neural networks model with Bayesian approach on a small real estate sample. The output distribution has been calculated operating a numerical integration on the weights space with the Markov Chain Hybrid Monte Carlo Method (MCHMCM). On the same real estate sample, MCHMCM has been compared with a neural networks model (NNs), traditional multiple regression an...

In this paper, I examine the role of banks in propagating local economic shocks from one area to another through their network of bank branches, by exploiting a newly developed branch-level dataset. Specifically, I examine the change in the geographical distribution of small business loans within each bank network in response to: 1) increases in deposit growth due to presence in areas with new ...