Measuring consumer inflation in a digital economy

Marshall B. Reinsdorf, P. Schreyer
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引用次数: 16

Abstract

The effect on the household consumption price index from possible sources of error in capturing digital products depends on the weight of the affected products. To calculate upper bounds for this effect, we apply weights based on the average structure of household consumption in OECD countries to a maximum plausible overstatement of price change for each affected or potentially affected product. The products account for about 35% of household expenditure in 2005, declining to 32% in 2015. The upper bound simulation effect on the growth rate of the consumption deflator is somewhat less than –0.6 percentage points in 2015 – large enough to improve the picture of GDP and productivity growth in advanced economies. However, this would not overturn the conclusion that productivity growth has slowed substantially compared over the past decades.
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在数字经济中衡量消费者通胀
捕获数字产品时可能的误差来源对家庭消费价格指数的影响取决于受影响产品的权重。为了计算这种影响的上限,我们根据经合组织国家家庭消费的平均结构,对每个受影响或潜在受影响的产品的价格变化的最大合理夸大施加权重。2005年,这些产品约占家庭支出的35%,2015年降至32%。2015年,消费平减指数增长率的上限模拟效应略低于- 0.6个百分点,足以改善发达经济体的GDP和生产率增长状况。然而,这不会推翻生产率增长与过去几十年相比大幅放缓的结论。
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Measuring consumer inflation in a digital economy Benchmark 2011 integrated estimates of the Japan–US price-level index for industry outputs Toward a BEA-BLS integrated industry-level production account for 1947–2016 Copyright Index
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