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    공간 패널 모형을 이용한 인터넷 정보 검색과 서울시 아파트 매매 및 전세가격 간 관계 분석 = Spatial Panel Analyses on the Relationship between Internet Information Searching and Apartment Sale and Chonsei Prices in Seoul

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    https://www.riss.kr/link?id=A101844373

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study explored the relationship between Internet information searches and apartment sale price and Chonsei prices in Seoul. Naver Trend data was collected using the keywords XXX-gu apartment and XXX-gu Chonsei targeting 25 autonomous districts in Seoul and for which relevant apartment sale price and Chonsei price indices were obtained. Because the data set possesses geographical attributes, it was possible to examine Moran``s-I of error terms for ordinary panel data regression results. The study verified that the panel SAR model was appropriate for reducing the spatial correlation in all models. It can be concluded from the estimation results that Internet information searches about apartments have a positive effect on apartment sale prices but that information searches about Chonsei have a negative effect on apartment sale prices although Chonsei prices seem unaffected. The relationship between district-specific Internet information searches and apartment sale prices can be described by the spatial spillover effect. Analysis of this effect reveals that the sign of the indirect (spillover) effect differs from that of the direct effect which suggests that the apartment market between districts is a competitive market. The indirect effect of Internet information searches is larger than the direct effect on apartment prices. In conclusion, this study suggests that Internet information searches related to apartments and Chonsei have little relation to Chonsei prices, however, it has a significant effect on apartment sale prices.
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    This study explored the relationship between Internet information searches and apartment sale price and Chonsei prices in Seoul. Naver Trend data was collected using the keywords XXX-gu apartment and XXX-gu Chonsei targeting 25 autonomous districts in...

    This study explored the relationship between Internet information searches and apartment sale price and Chonsei prices in Seoul. Naver Trend data was collected using the keywords XXX-gu apartment and XXX-gu Chonsei targeting 25 autonomous districts in Seoul and for which relevant apartment sale price and Chonsei price indices were obtained. Because the data set possesses geographical attributes, it was possible to examine Moran``s-I of error terms for ordinary panel data regression results. The study verified that the panel SAR model was appropriate for reducing the spatial correlation in all models. It can be concluded from the estimation results that Internet information searches about apartments have a positive effect on apartment sale prices but that information searches about Chonsei have a negative effect on apartment sale prices although Chonsei prices seem unaffected. The relationship between district-specific Internet information searches and apartment sale prices can be described by the spatial spillover effect. Analysis of this effect reveals that the sign of the indirect (spillover) effect differs from that of the direct effect which suggests that the apartment market between districts is a competitive market. The indirect effect of Internet information searches is larger than the direct effect on apartment prices. In conclusion, this study suggests that Internet information searches related to apartments and Chonsei have little relation to Chonsei prices, however, it has a significant effect on apartment sale prices.

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    참고문헌 (Reference)

    1 한국인터넷진흥원, "한국인터넷백서" 2014

    2 부동산114, "인터넷 및 중개업소를 이용한 수요자 주택거래패턴 조사" 부동산114 리서치센터 2011

    3 김대원, "인터넷 검색 활동과 주택 가격 및 거래량 간 동적 관계 분석" 한국부동산연구원 24 (24): 125-140, 2014

    4 공대식, "부동산시장의 변화와 인터넷" 대한부동산학회 17 : 121-137, 1999

    5 노용호, "디지털시대의 부동산시장의 변화" 국제부동산정책학회 19 : 89-101, 2004

    6 Belotti, Federico, "Xsmle-a Command to Estimate Spatial Panel Models in Stata" 2013

    7 Hulth, Anette, "Web Queries as a Source for Syndromic Surveillance" 4 (4): e4378-, 2009

    8 Ettredge, Michael, "Using Web-Based Search Data to Predict Macroeconomic Statistics" 48 (48): 87-92, 2005

    9 Polgreen, Philip M, "Using Internet Searches for Influenza Surveillance" 47 (47): 1443-1448, 2008

    10 Choi, In, "Unit Root Tests for Panel Data" 20 (20): 249-272, 2001

    1 한국인터넷진흥원, "한국인터넷백서" 2014

    2 부동산114, "인터넷 및 중개업소를 이용한 수요자 주택거래패턴 조사" 부동산114 리서치센터 2011

    3 김대원, "인터넷 검색 활동과 주택 가격 및 거래량 간 동적 관계 분석" 한국부동산연구원 24 (24): 125-140, 2014

    4 공대식, "부동산시장의 변화와 인터넷" 대한부동산학회 17 : 121-137, 1999

    5 노용호, "디지털시대의 부동산시장의 변화" 국제부동산정책학회 19 : 89-101, 2004

    6 Belotti, Federico, "Xsmle-a Command to Estimate Spatial Panel Models in Stata" 2013

    7 Hulth, Anette, "Web Queries as a Source for Syndromic Surveillance" 4 (4): e4378-, 2009

    8 Ettredge, Michael, "Using Web-Based Search Data to Predict Macroeconomic Statistics" 48 (48): 87-92, 2005

    9 Polgreen, Philip M, "Using Internet Searches for Influenza Surveillance" 47 (47): 1443-1448, 2008

    10 Choi, In, "Unit Root Tests for Panel Data" 20 (20): 249-272, 2001

    11 "Trends, Google Flu"

    12 Howard, John A, "The Theory of Buyer Behavior" Wiley 1969

    13 Moran, Patrick AP, "The Interpretation of Statistical Maps" 10 (10): 243-251, 1948

    14 Wu, Lynn, "The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales"

    15 Geary, Robert C, "The Contiguity Ratio and Statistical Mapping" 5 (5): 115-146, 1954

    16 Getis, Arthur, "The Analysis of Spatial Association by Use of Distance Statistics" 24 (24): 189-206, 1992

    17 Cumby, Robert E, "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions" 60 (60): 185-195, 1992

    18 Im, Kyung So, "Testing for Unit Roots in Heterogeneous Panels" 115 (115): 53-74, 2003

    19 Hadri, Kaddour, "Testing for Stationarity in Heterogeneous Panel Data" 2000 : 148-161, 2000

    20 Hausman, Jerry A, "Specification Tests in Econometrics" 46 (46): 1251-1271, 1978

    21 Cliff, Andrew David, "Spatial Processes:Models & Applications" Pion London 1981

    22 Anselin, Luc, "Spatial Econometrics: Methods and Models" Springer Science & Business Media 1988

    23 Anselin, Luc, "Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics" 155 : 237-290, 1998

    24 Anselin, Luc, "Spacestat Tutorial: A Workbook for Using Spacestat in the Analysis of Spatial Data" Regional Research Institute, West Virginia University 1992

    25 정미애, "SNS를 활용한 부동산 마케팅에 관한 연구" 한국전자통신학회 8 (8): 1581-1587, 2013

    26 Suhoy, Tanya, "Query Indices and a 2008 Downturn:Israeli Data" Research Department 2009

    27 Ward, Michael D., "Quantitative Applications in the Social Sciences, Vol. 155" Sage 2008

    28 Hill, R Carter, "Principles of Econometrics" Wiley 2011

    29 Choi, Hyunyoung, "Predicting the Present with Google Trends" 88 (88): 2-9, 2012

    30 Radinsky, Kira, "Predicting the News of Tomorrow Using Patterns in Web Search Queries" 1 : 2008

    31 Goel, Sharad, "Predicting Consumer Behavior with Web Search" 107 (107): 17486-17490, 2010

    32 Pelat, Camille, "More Diseases Tracked by Using Google Trends" 15 (15): 1327-, 2009

    33 Corley, Courtney, "Monitoring Influenza Trends through Mining Social Media" BIOCOMP 2009

    34 Zumpano, Leonard V, "Internet Use and Real Estate Brokerage Market Intermediation" 12 (12): 134-150, 2003

    35 Littlefield, James E, "Internet Real Estate Information : Are Home Purchasers Paying Attention to It?" 17 (17): 575-590, 2000

    36 Beracha, Eli, "Forecasting Residential Real Estate Price Changes from Online Search Activity" 35 (35): 283-312, 2013

    37 Baltagi, Badi, "Econometric Analysis of Panel Data" John Wiley & Sons 2005

    38 Valdivia, Antonio, "Diseases Tracked by Using Google Trends, Spain" 16 (16): 168-, 2010

    39 Brownstein, John S, "Digital Disease Detection—Harnessing the Web for Public Health Surveillance" 360 (360): 2153-2157, 2009

    40 Ginsberg, Jeremy, "Detecting Influenza Epidemics Using Search Engine Query Data" 457 (457): 1012-1014, 2009

    41 Blackwell, Roger D., "Consumer Behavior" South-Western College Pub 2006

    42 Engel, James F, "Consumer Behavior" Rinehart and Winston, Inc. 1968

    43 Preis, Tobias, "Complex Dynamics of Our Economic Life on Different Scales : Insights from Search Engine Query Data" 368 (368): 5707-5719, 2010

    44 Tobler, Waldo R, "A Computer Movie Simulating Urban Growth in the Detroit Region" 46 : 234-240, 1970

    45 Maddala, Gangadharrao S, "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test" 61 (61): 631-652, 1999

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    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
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    2011-08-19 학술지명변경 외국어명 : The Journal of Korea Real Estate Analysists Association -> Journal of the Korea Real Estate Analysts Association KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2007-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2006-03-10 학술지명변경 외국어명 : 미등록 -> The Journal of Korea Real Estate Analysists Association KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.64 0.64 0.75
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.81 0.85 1.108 0.13
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