scholarly journals On Representativeness of Internet Data Sources for Real Estate Market in Poland

2015 ◽  
Vol 44 (2) ◽  
pp. 45-57 ◽  
Author(s):  
Maciej Eryk Beręsewicz
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Data Sources ◽  
Special Program ◽  
Official Statistics ◽  
Automated Data Collection ◽  
Demand And Supply ◽  
Administrative Records ◽  
Web Spider ◽  
Correct Information

Shifting paradigms in Official Statistics lead to a widespread use of administrative records to support or to create an alternative for census and surveys. At the same time demand for diversified detailed information is increasing. Official Statistics in order to meet this demand need to seek for new data sources. Internet data sources or more general -- Big Data -- could be one of them. Potential usefulness of these new sources of statistical information should not be neglected.The aim of the paper is to assess representativeness of Internet data sources (IDS) for real estate market in Poland. These sources could be used for describing demand and supply on secondary real estate market in more detailed way that is done with existing methodology. In order to assess representativeness, information from official surveys and other data sources will be used. Due to lack of sufficient literature on this issue, own research will be conducted to enhance information from official statistics. For the purpose of the paper Internet data sources will be defined. Register TERYT containing information on street names was used to correct information taken from Internet data sources. Special program for automated data collection (web spider) was developed. All the calculation was done with R statistical software and additional packages (XML, RCurl, httr).

scholarly journals Harnessing Administrative Records for Official Statistics on People and Households

2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Misty L Heggeness
Keyword(s):  
Survey Data ◽  
Census Bureau ◽  
Data Sources ◽  
Official Statistics ◽  
Administrative Records ◽  
The Great Depression ◽  
Federal Statistical ◽  
Fiction Writers ◽  
Working Age ◽  
The Impact

The availability and excessiveness of alternative (non-survey) data sources, collected on a daily, hourly, and sometimes second-by-second basis, has challenged the federal statistical system to update existing protocol for developing official statistics. Federal statistical agencies collect data primarily through survey methodologies built on frames constructed from administrative records. They compute survey weights to adjust for non-response and unequal sampling probabilities, impute answers for nonresponse, and report official statistics via tabulations from these survey. The U.S. federal government has rigorously developed these methodologies since the advent of surveys -- an innovation produced by the urgent desire of Congress and the President to estimate annual unemployment rates of working age men during the Great Depression. In the 1930s, Twitter did not exist; high-scale computing facilities were not abundant let alone cheap, and the ease of the ether was just a storyline from the imagination of fiction writers. Today we do have the technology, and an abundance of data, record markers, and alternative sources, which, if curated and examined properly, can help enhance official statistics. Researchers at the Census Bureau have been experimenting with administrative records in an effort to understand how these alternative data sources can improve our understanding of official statistics. Innovative projects like these have advanced our knowledge of the limitations of survey data in estimating official statistics. This paper will discuss advances made in linking administrative records to survey data to-date and will summarize the research on the impact of administrative records on official statistics.

scholarly journals Correlates of Representation Errors in Internet Data Sources for Real Estate Market

2019 ◽  
Vol 35 (3) ◽  
pp. 509-529
Author(s):  
Maciej Beręsewicz
Keyword(s):  
Real Estate ◽  
Mixed Model ◽  
Real Estate Market ◽  
Data Sources ◽  
The Internet ◽  
Representation Error ◽  
Urban Rural ◽  
Administrative Units ◽  
Real Estate Prices ◽  
Made In

Abstract New data sources, namely big data and the Internet, have become an important issue in statistics and for official statistics in particular. However, before these sources can be used for statistics, it is necessary to conduct a thorough analysis of sources of nonrepresentativeness. In the article, we focus on detecting correlates of the selection mechanism that underlies Internet data sources for the secondary real estate market in Poland and results in representation errors (frame and selection errors). In order to identify characteristics of properties offered online we link data collected from the two largest advertisements services in Poland and the Register of Real Estate Prices and Values, which covers all transactions made in Poland. Quarterly data for 2016 were linked at a domain level defined by local administrative units (LAU1), the urban/rural distinction and usable floor area (UFA), categorized into four groups. To identify correlates of representation error we used a generalized additive mixed model based on almost 5,500 domains including quarters. Results indicate that properties not advertised online differ significantly from those shown in the Internet in terms of UFA and location. A non-linear relationship with the average price per m2 can be observed, which diminishes after accounting for LAU1 units.

Data sources for real estate market analysis

2020 ◽  
pp. 427-432
Author(s):  
Rena Mourouzi-Sivitanidou ◽  
Petros Sivitanides
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Market Analysis ◽  
Data Sources

Data sources for real estate market analysis

2020 ◽  
pp. 427-432
Author(s):  
Rena Mourouzi-Sivitanidou ◽  
Petros Sivitanides
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Market Analysis ◽  
Data Sources

scholarly journals A Corpus-based Study of Bubble Metaphor in the American Real Estate Market

2018 ◽  
Vol 5 (2) ◽  
pp. 34
Author(s):  
Guihang Guo ◽  
Zhaohui Wang
Keyword(s):  
Real Estate ◽  
Demand Curve ◽  
Supply And Demand ◽  
Real Estate Market ◽  
Supply Curve ◽  
Housing Bubble ◽  
Demand And Supply ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

The study aims to find whether the concept of metaphorical “BUBBLE” can assist us in understanding thephenomena of US housing bubble appearing from 2001 to 2007. With the node of “housing bubble”, the researcherssearch the collocates of it and dig into the context of highly frequent collocates. The study finds: 1)the collocates of“housing bubble”, mainly categorized in “v+N”, “n/adj+N” and “N+v”, reflect the 5 stages of housing bubbledevelopment and the context explains the cause and effect of housing bubble in every stage; 2)the maincorrespondences of BUBBLE metaphor have been concluded in the real estate market; 3)the combination of bubblemetaphor and orientation metaphor can explain the demand and supply curve of real estate. As a result, it can assistbusiness English teachers in teaching the supply and demand curve of the housing bubble.

scholarly journals Estimating The Size Of The Secondary Real Estate Market Based On Internet Data Sources

2014 ◽  
Vol 14 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Maciej Beręsewicz
Keyword(s):  
Real Estate ◽  
Information Needs ◽  
Statistical Data ◽  
Real Estate Market ◽  
Data Sources ◽  
Web Portals ◽  
Information Gap ◽  
Data Source ◽  
Statistical Coverage

Abstract As a result of the growing digitization of society and the development of electronic economy, current statistical data sources, including administrative registers, do not satisfy the information needs of society. Therefore, there are growing gaps in the statistical coverage of a number of sectors of the economy. One example of such a gap is the secondary real estate market, which is only partially accounted for by official statistical data sources. On the other hand new data sources such as the Internet or Big Data tend to decrease information gap in official statistics. The Web portals that specialise in brokerage on real estate market should be not neglected as a data source for statistics. Therefore, the aim of the paper is to use two Web portals devoted to the housing market to estimate supply measured in the number of flats offered to sale in Poznań, Poland. In addition, classification and quality of Web portals will be discussed.

Digitalization Real Estate on American Real Estate Society 2018: A Dramatic and Irreversible Shift in Real Estate Systems

2019 ◽  
Vol 10 (5) ◽  
pp. 380-386
Author(s):  
Jan Veuger ◽  
Keyword(s):  
Real Estate ◽  
Capital Flows ◽  
Global Economy ◽  
Real Estate Market ◽  
Educational Models ◽  
Annual Congress ◽  
Real Estate Education ◽  
Demographic Effects

The 34th annual congress of April 10-14 this year took place in Bonita Springs (Florida) where the professionals in real-estate education and research discussed six themes: global economy and capital flows, real estate market cycles, demographic effects, future-proof real estate, disruption in technology and future educational models.

Sign in / Sign up

Export Citation Format

Share Document