The impact of job accessibility on housing prices is examined in the Buffalo and Seattle metropolitan areas using a hedonic regression modeling framework. Global hedonic regression results show that job accessibility is positively associated with housing price in the two study areas. Local hedonic regression modeling is also conducted to test whether the response of the housing market to job accessibility is spatially stationary. The statistical analysis reveals that the role of job accessibility in the house price-setting process varies locally in each metropolitan area. Empirical challenges with unraveling relationship between transportation and land use, and the policy implications of our findings, are discussed.