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MULTICOLLINEARITY (2) answer(s).
 
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ID:   143406


Do bank loans and local amenities explain Chinese urban house prices? / Huang, Daisy J; Leung, Charles K; Qu, Baozhi   Article
Huang, Daisy J Article
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Summary/Abstract Based on Chinese city-level data from 1999 to 2012 and controlling for geological, environmental, and social diversity, our multi-step estimation suggests that credit plays a significant role in driving up house prices after the Great Recession, whereas property prices only influence bank lending before 2008. Local amenities such as higher education, green infrastructure, healthcare, and climate also positively affect house prices. Moreover, the impacts of bank loans on housing prices tend to be related to the level of amenities, suggesting that pooling macroeconomic and urban economic data may be important for housing market research in the future.
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2
ID:   162550


Externality of defense expenditure in the United States : a new analytical technique to overcome multicollinearity / Ando, Jun   Journal Article
Ando, Jun Journal Article
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Summary/Abstract This study estimates a three-sector Feder–Ram model using US annual data for 1965–2014 to confirm the externality of defense expenditure in the United States. Although the model is often used in the literature to scrutinize whether this effect exists, a flaw intrinsic to this model is the appearance of multicollinearity. In this study, I introduced novel techniques, namely: the standardization and estimation of a simple slope, to estimate the model. The results are as follows. First, I prove that the multicollinearity problem can be resolved by standardization. Second, externality, which is judged to conventionally exist, is not found. Third, increases in defense expenditure bring about positive but limited economic growth when the ratio of private to defense expenditure in the previous year ranges from 5.09 to 6.82%. By re-estimating the model, this study contributes to developing the Feder–Ram model within the related literature.
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