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Using the baidu index to predict chinese housing price and volume - a survey-based keyword selection approach
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Resumo(s)
The paper uses a survey-based keyword selection approach to examine the effect of the
Baidu Index on Chinese real estate trends. After obtaining weights from 546 questionnaires to
composite the indexes, I find that in the transaction volume model with the survey-based
indexes, the adjusted R2 increases by 8.240 percentage points compared to the baseline model.
Such improvement also exists in a forecasting test, reducing the Mean Absolute Error by 2.931
percent and the Mean Squared Error by 5.079 percent. The paper further contributes to the
keyword selection method and the model by exploiting an up-to-date dataset.
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Palavras-chave
Baidu index Housing price and volume Keyword selection Survey approach