Alternative capital asset depreciation rates for U.S. capital and total factor productivity measures

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Michael D. Giandrea, R. Kornfeld, P. Meyer, Susan G. Powers
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引用次数: 3

Abstract

The U.S. Bureau of Economic Analysis (BEA) and the U.S. Bureau of Labor Statistics (BLS) use estimates of depreciation rates for structures and equipment to construct estimates of capital stock from data on capital investments. The depreciation rates are based on research by Frank C. Wykoff and Charles R. Hulten from the 1980s. More recent studies by Statistics Canada, from 2007 and 2015, use Canadian data on used asset transactions from Canada’s Annual Capital and Repair Expenditures Survey of establishments. They found faster depreciation rates, especially for structures. Sheharyar Bokhari and David Geltner’s 2019 study of U.S. used asset prices also found faster depreciation rates for structures. To illustrate the potential effects of implementing these estimates from newer studies, we created a concordance to match Canadian to U.S. asset categories. We reestimated BEA capital stock measures and the BLS capital and total factor productivity (TFP) measures using depreciation rates based on the Canadian Annual Capital and Repair Expenditures Survey. Using these faster depreciation rates results in substantially lower estimates of net capital stocks and higher estimates of depreciation in BEA accounts but has minimal effects on growth rates of TFP in the BLS accounts.
美国资本和全要素生产率指标的替代资本资产折旧率
美国经济分析局(BEA)和美国劳工统计局(BLS)使用结构和设备的折旧率估计值,根据资本投资数据构建资本存量估计值。折旧率基于Frank C.Wykoff和Charles R.Hulten在20世纪80年代的研究。加拿大统计局2007年和2015年的最新研究使用了加拿大机构年度资本和维修支出调查中的二手资产交易数据。他们发现折旧率更快,尤其是建筑。Sheharyar Bokhari和David Geltner 2019年对美国二手资产价格的研究也发现,结构的折旧率更快。为了说明从新的研究中实施这些估计的潜在影响,我们创建了一个匹配加拿大和美国资产类别的一致性。我们根据加拿大年度资本和维修支出调查,使用折旧率重新估算了BEA资本存量指标以及BLS资本和全要素生产率(TFP)指标。使用这些更快的折旧率会大大降低BEA账户中净资本存量的估计值和更高的折旧估计值,但对BLS账户中TFP的增长率影响最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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