Google trends date launched1/15/2024 ![]() The horizontal axis of this graph is the “Interest over time”, that begins in 2004 and shows the search query volume aggregated in monthly intervals. Addition- ally, it is possible to compare up to five different search- terms within one single graph. The result is presented in a graph that can option- ally be downloaded as a CSV-file, which contains more detailed information. that shows how often a particular search term is entered into the search engine Google, relative to the total number of searches done on Google since 2004 7. Google Trends is a public web facility of Google Inc. 1 Definition and History of Google Trends But first of all, Google Trends will be introduced in more detail in addition to a quick overview on the different research areas on the grounds of the ser- vice. Then a SWOT analysis of the potential of Google Trends for real estate purposes will be established in the subsequent paragraphs, followed by an overall conclusion. In the course of this paper, the current state of real estate research based on Google Trends will be investigated. This treatise addresses the ques- tion, whether Google Trends is a suitable instrument for supporting real estate research. It did not take long until the real estate industry became aware of the service´s huge potential and began to use it for real estate purposes. the current economic conditions, as Google Trends graphically shows the popu- larity of a particular search term compared to the total number of searches on Google 6. With the release of Google Trends, researchers were given the opportunity to examine the correlation of search frequency of particular keywords and i.a. However, prior to the launch of the internet service Google Trends in 2006, re- search based on internet data was still rather difficult, as most of the relevant data was not yet publicly accessible 5. In 2012 the daily amount of data processed by Facebook, had already gone up to 500 terabytes and has been constantly rising ever since 4. In 2009, the social network Facebook handled more than 25 terabytes of data a day, which by the time was already more than what the largest survey in the world, the U.S. ![]() To illustrate the internet´s capability, one just needs to take a look at processed data volumes. As the internet is used by considerably more people than any survey could possibly capture, it did not take long for research to discover its enormous poten- tial. It is anything but surprising, that decision makers as well as researchers are constantly trying to overcome such struc- tural problems. ” 1Ī very suitable example for this kind of failure of a traditional survey was the report of the American National Bureau of Economic Research in September 2010, which de- clared that the Great Recession had ended 15 months ago 2. Not only has traditional (and typically official) statistical data a slow publi- cation scheme, these data also do not reflect well the structural changes in the econ- omy. It is particularly welcome at times of an economic crisis where the traditional flow of information is too slow to provide a proper basis for sound economic decisions. Such information comes timely on a continual basis. “ The Internet contains an enormous amount of information which, to our knowledge, classical econometrics has yet to appropriately tap into. Illustration not visible in this excerpt I. Table 8: “Detecting Mortgage Delinquencies with Google Trends” List of Abbreviations Table 7: “Fear and Loathing in the Housing Market: Evidence from Search Query Data” Housing Market: To What Extent Can We Rely on Google ECOnometrics?” Table 6: “´GECO’s Weather Forecast` for the U.K. ![]() Table 5: “Forecasting Residential Real Estate Price Changes from Online Search Activity” Table 4: “´Geco` and its Potential for Real Estate Research: Evidence from the U.S. Table 3: “The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales” Table 2: “Forecasting Housing Prices with Google Econometrics” Table 1: “Predicting the Present with Google Trends” 4 Discussion of Future Threats and Opportunities for Real Estate Research Based on Google Trends 2 Strenghts of Google Trends Based Real Estate Research 1 Weaknesses of Google Trends Based Real Estate Research 3 Discussion of the Usage of Google Trends for Real Estate Purposes 2 Summary of the Current State of Real Estate Research Based on Google Trends ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |