Discussion

IF 7.5 1区 经济学 Q1 ECONOMICS Nber Macroeconomics Annual Pub Date : 2021-01-01 DOI:10.1086/712320
J. Haltiwanger
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Abstract

John Haltiwanger opened the discussion by bringing attention to the dataused in thepaper. The analysis useddata fromtheNational Establishment Time Series (NETS). The authors argued that the NETS is a reliable source because it aligns on several dimensions with another data set, the County Business Patterns (CBP). However, Haltiwanger argued that NETS overstates employment because of imputations. Further, NETS sales data are not reliable, as documented by Barnatchez, Crane, and Decker (“An Assessment of the National Establishment Times Series [NETS] Database,” Finance and Economics Discussion Series 2017 [2017]: 110). The authors recognized that there are imputations in NETS. However, they emphasized that their findings are validated by several robustness checks. In addition, they noted that similar results hold when using a different data set, the Longitudinal Business Database (LBD). The next comments were related to the suitability of the HerfindahlHirschman Index (HHI) as ameasure ofmarket power at different levels of geographic aggregation. Jeffrey Campbell pointed out that the HHI is not a reliable measure of market power for large cities, where there are many firms in themarket and there is substantial variation across neighborhoods. He encouraged the authors to repeat their analysis for small towns. The authors responded that they replicated their results for different measures of concentration and that their findings are robust regardless of the measure considered. Erik Hurst questioned why the authors decided to start the analysis at the smallest area of aggregation, the ZIP-code level, as opposed to a larger area of aggregation, such as the county level. Seconding Campbell’s remark, the authors responded that themeasurement ofmarket power ismore reliable for smaller geographical
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约翰·哈尔蒂万格(John Haltiwanger)在开始讨论时,将注意力放在了论文中使用的数据上。该分析使用了国家机构时间序列(NETS)的数据。作者认为,NETS是一个可靠的来源,因为它在几个维度上与另一个数据集,即县商业模式(CBP)相一致。然而,Haltiwanger认为,NETS夸大就业是因为估算。此外,正如Barnatchez、Crane和Decker所记录的那样,NETS的销售数据并不可靠(“对国家机构时代系列[NETS]数据库的评估”,2017年【2017】金融和经济讨论系列:110)。作者认识到NETS中存在着一些指责。然而,他们强调,他们的发现通过几次稳健性检查得到了验证。此外,他们指出,当使用不同的数据集纵向业务数据库(LBD)时,也会出现类似的结果。接下来的评论与赫芬达尔-赫希曼指数(HHI)作为衡量不同地理聚合水平下市场力量的合适性有关。Jeffrey Campbell指出,对于大城市来说,HHI并不是衡量市场力量的可靠指标,因为大城市的市场上有很多公司,而且各个社区的差异很大。他鼓励作者重复他们对小城镇的分析。作者回应说,他们复制了不同浓度测量的结果,无论考虑何种测量,他们的发现都是稳健的。Erik Hurst质疑为什么作者决定在最小的聚集区域(邮政编码级别)开始分析,而不是在更大的聚集区域,如县级别。根据坎贝尔的评论,作者们回应说,市场力量的测量对于较小的地理区域来说更可靠
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5.10
自引率
0.00%
发文量
23
期刊介绍: The Nber Macroeconomics Annual provides a forum for important debates in contemporary macroeconomics and major developments in the theory of macroeconomic analysis and policy that include leading economists from a variety of fields.
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