An Early Warning System to Predict Speculative House Price Bubbles [Dataset]
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In this paper, the authors construct country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1–2009:Q4. These chronologies are obtained using a combination of a fundamental approach and a filter approach. The resulting speculative bubble chronology is the one which provides the highest concordance between these two techniques. In addition, the authors suggest an early warning system based on three alternative approaches: A signalling approach, a logit model, and a probit model. It is shown that the latter two models allow much more accurate predictions of house price bubbles than the signalling approach. Furthermore, the predictive accuracy of the logit and probit models is high enough to make them useful in forecasting future speculative bubbles in housing market. Thus, this method can be use' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Early Warning System","House Prices","OECD Countries"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In this paper, the authors construct country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1–2009:Q4. These chronologies are obtained using a combination of a fundamental approach and a filter approach. The resulting speculative bubble chronology is the one which provides the highest concordance between these two techniques. In addition, the authors suggest an early warning system based on three alternative approaches: A signalling approach, a logit model, and a probit model. It is shown that the latter two models allow much more accurate predictions of house price bubbles than the signalling approach. Furthermore, the predictive accuracy of the logit and probit models is high enough to make them useful in forecasting future speculative bubbles in housing market. Thus, this method can be use' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In this paper, the authors construct country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1–2009:Q4. These chronologies are obtained using a combination of a fundamental approach and a filter approach. The resulting speculative bubble chronology is the one which provides the highest concordance between these two techniques. In addition, the authors suggest an early warning system based on three alternative approaches: A signalling approach, a logit model, and a probit model. It is shown that the latter two models allow much more accurate predictions of house price bubbles than the signalling approach. Furthermore, the predictive accuracy of the logit and probit models is high enough to make them useful in forecasting future speculative bubbles in housing market. Thus, this method can be use
Early Warning System; House Prices; OECD Countries