가구유형별 구분에 의한 주택수요 예측

Prediction of Housing Demand through Classifing Household Types

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to predict the future housing demand through classifying household into 15 different types. (2)RESEARCH METHOD This estimation is done by using the revised Mankiw-Weil model. The flexibility of the rate of wage gains increase, the rate of change in housing expenses were taken into consideration. (3) RESEARCH FINDINGS The overall outcome of housing demand estimation, which was done by classifying different household types, inferring the rate of wage gains increase in regard to economically active population change and using Schwabe’s index in calculation of housing demand’s change, is similar to that of prior research. However some household types have distinguishing character. 2. RESULTS The result of estimation through classifying household into 15 types is similar to that of prior research. However, the addition of wage gains increase factor and expenses factor has brought the long term housing demand’s increase rate to fall more gradually.