2010
DOI: 10.1016/j.jedc.2010.04.008
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International capital flows and expectation-driven boom–bust cycles in the housing market

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Cited by 25 publications
(10 citation statements)
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“…the production of the final good, Λ  , is set at 07, to capture the case of a middle-income economy where imports are about a third of GDP, as in Tomura (2010) and Medina and Roldós (2014). The elasticity of substitution between baskets of domestic and imported composite intermediate goods, , is set at 15, a fairly standard value used for instance by Cuadra and Nuguer (2014) for Mexico.…”
Section: The Distribution Parameter Between Domestic and Imported Intmentioning
confidence: 99%
“…the production of the final good, Λ  , is set at 07, to capture the case of a middle-income economy where imports are about a third of GDP, as in Tomura (2010) and Medina and Roldós (2014). The elasticity of substitution between baskets of domestic and imported composite intermediate goods, , is set at 15, a fairly standard value used for instance by Cuadra and Nuguer (2014) for Mexico.…”
Section: The Distribution Parameter Between Domestic and Imported Intmentioning
confidence: 99%
“…Krugman (1998) argues that the public will reinforce their expectations of inflation and successfully circumvent the economic liquidity trap should they believe expansionary monetary policies are not temporary. Tomura (2010) and Burnside et al (2016) argue that unstable expectation results in the real estate cycle. In addition, expectation management can improve the stability and effectiveness of policy implementation Shin 2002, 2008).…”
Section: The Expectation Of Home Purchase Restriction and Corporate Imentioning
confidence: 99%
“…For example, Tomura (2010) identified the boom-bust cycle in housing market by analysing export flows within a small open market economy through a dynamic equilibrium model, which is similar to the mining boom-bust cycle in many developed nations such as in Australia. Han (2010) developed a random utility modelling framework to analyse the housing demand for large metropolitan cities, but this model cannot predict the precise dwelling need for rapidly growing small or medium types of towns, especially those towns affected by boom and bust commodity cycles.…”
Section: Mining Impacts On Housing Marketmentioning
confidence: 99%