OPTIMAL HOUSING COST ESTIMATES FOR 177 U.S. METROPOLITAN AREAS

Todd Easton

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OPTIMAL HOUSING COST ESTIMATES FOR 177 U.S. METROPOLITAN AREAS

机译：估计美国177个大都市地区的最佳住房成本

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This research tests the ability of six metropolitan-level measures of housing costs to predict a benchmark housing cost measure based on Aten's area price level index. The first four measures are calculated with U.S. Census Data, the fifth is based on HUD Fair Market Rents, and the sixth is the housing portion of the ACCRA Index. In 25 large metropolitan areas, the fourth measure predicts 86 percent of the variation in the benchmark index in 1990 and 85 percent in 2000. The fifth measure performs nearly as well. The paper concludes both are promising measures of living costs.

机译：这项研究测试了六种大城市水平的住房成本测度基于阿滕地区价格水平指数预测基准住房成本测度的能力。前四个指标是根据美国人口普查数据计算的，第五个指标是基于HUD公平市场租金，第六个指标是ACCRA指数的住房比例。在25个大都市地区，第四项指标预测1990年基准指数的变化为86％，2000年为85％。第五项指标的表现几乎相同。本文得出结论，两者都是有前途的生活费用衡量标准。

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《Journal of Regional Science》 |2012年第3期|p.469-485|共17页
作者
Todd Easton;
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School of Business Administration, University of Portland, 5000 N Willamette Blvd, Portland, OR 97203;

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OPTIMAL HOUSING COST ESTIMATES FOR 177 U.S. METROPOLITAN AREAS

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