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统计代写|经济统计代写Economic Statistics代考|Linking 1- to- 1 Matches to the Economic Census

Our next step is to link the BR establishments that MAMBA predicts as being franchise affiliated (i.e., external establishments that are 1-to-1 matches with a BR establishment) to the $2017 \mathrm{EC} .{ }^{13}$ This allows us to examine whether MAMBA’s predictions are consistent with whether an establishment is characterized as franchise affiliated on their EC form.

Once an external establishment is linked to the $\mathrm{BR}$, it is straightforward to link it to the EC using an internal establishment identifier. Table $7.3$ summarizes this link. The row labeled “1-to-1 Match with BR” shows that, as in table 7.2, there are approximately 57,500 web-scraped, 44,500 core Yelpqueried, and 89,000 noncore Yelp-queried establishments that MAMBA identifies as 1-to-1 matches with a BR establishment. The row labeled “Surveyed in 2017 EC” shows that approximately 52,500 (91 percent), 40,500 ( 91 percent), and 78,500 (88 percent) of these are included in the $2017 \mathrm{EC}$. Since the processing of the $2017 \mathrm{EC}$ is still ongoing, the row labeled “2017 EC Form Processed” reports the number of 1-to-1 matches that are included in the $2017 \mathrm{EC}$ whose forms have been processed-approximately 29,000 (55 percent) web-scraped, 21,500 (53 percent) core Yelp-queried, and 41,000 (52 percent) noncore Yelp-queried establishments.

For most of the remainder of the paper, we focus on these 29,000 webscraped and 62,500 Yelp-queried (21,500 core and 41,000 noncore) establishments. These are the subset of establishments that MAMBA predicts to be franchise affiliated, for whom we can also examine survey responses (or nonresponses) about their franchise status on the 2017 EC form.

统计代写|经济统计代写Economic Statistics代考|Evaluating Responses on the 2017 Economic Census

As noted in the previous section, we have 29,000 web-scraped, 21,500 core Yelp-queried, and 41,000 noncore Yelp-queried establishments that are both predicted to be franchise affiliated by MAMBA and have had their survey forms processed for the $2017 \mathrm{EC}$. This gives us a unique opportunity to examine whether survey responses about the establishments are consistent with MAMBA’s predictions, and if they are inconsistent, examine which is correct.

Table $7.4$ examines these responses to the 2017 EC survey form. The row titled “Franchisor or Franchisee” shows the number of establishments that respondents claim to be franchise affiliated. As the row name suggests, an establishment is classified as franchise-affiliated if the respondent claimed to be either a franchisor or franchisee on its EC survey form. We see that 21,500 (74 percent) web-scraped, 16,500 (77 percent) core Yelp-queried, and 28,500 (70 percent) noncore Yelp-queried establishments are identified as franchise affiliated by respondents, consistent with MAMBA’s prediction. Thus, for a majority of establishments, the MAMBA prediction and EC form agree that the establishment is franchise affiliated, with somewhat higher proportions for establishments affiliated with our 12 core franchises. However, the row labeled “Not Affiliated or Not Answered” shows that this leaves a substantial number of establishments – 7,400 (26 percent), 5,000 (23 percent), and 12,500 ( 30 percent) – that respondents claim not to be franchise affiliated, contradicting MAMBA’s prediction. An establishment is classified as not being franchise affiliated if the respondent either did not fill out the franchise portion of its EC survey form or did fill it out but claimed that the establishment was not franchise affiliated. Both these groups are classified as not being franchise affiliated because they would be classified as such if their EC forms were taken at face value. Overall, table $7.4$ shows that a substantial portion of establishments have conflicting information.

统计代写|经济统计代写Economic Statistics代考|ECN329


统计代写|经济统计代写经济统计代考|连接1- to- 1与经济普查匹配

. .

我们的下一步是将MAMBA预测为特许经营附属的BR机构(即,与BR机构1比1匹配的外部机构)与$2017 \mathrm{EC} .{ }^{13}$联系起来。这允许我们检查MAMBA的预测是否与该机构在其EC表格上是否被描述为特许经营附属的机构一致


一旦外部机构链接到$\mathrm{BR}$,就可以使用内部机构标识符直接将其链接到EC。表$7.3$总结了这个链接。标记为“与BR的1对1匹配”的行显示,如表7.2所示,大约有57,500个web- sc刮、44,500个核心Yelpqueried和89,000个非核心yelp查询的机构被MAMBA识别为与BR的1对1匹配。标记为“2017年欧共体调查”的行显示,其中约有52,500人(91%)、40,500人(91%)和78,500人(88%)包括在$2017 \mathrm{EC}$。由于$2017 \mathrm{EC}$的处理仍在进行中,标记为“2017年EC表单已处理”的行报告了$2017 \mathrm{EC}$中包含的已处理表单的1对1匹配的数量——大约29,000家(55%)通过web搜索,21,500家(53%)通过核心yelp查询,41,000家(52%)通过非核心yelp查询的企业


对于本文其余的大部分内容,我们关注的是这29,000家网络搜索和62,500家yelp查询(21,500家核心和41,000家非核心)的机构。这些是MAMBA预测的特许经营附属机构的子集,对于这些机构,我们也可以在2017年EC表格上检查关于其特许经营状态的调查回复(或未回复)

统计代写|经济统计代写经济统计代考|评估对2017年经济普查的回应

. .


如前一节所述,我们有29,000个网络搜索、21,500个核心yelp查询和41,000个非核心yelp查询的机构,它们都被预测为MAMBA特许经营的附属机构,并且已经为$2017 \mathrm{EC}$处理了它们的调查表格。这给我们提供了一个独特的机会来检验关于这些机构的调查结果是否与MAMBA的预测一致,如果不一致,就检验哪个是正确的


表$7.4$检查了这些对2017年EC调查表格的回应。标题为“特许权人或加盟商”的行显示了被调查者声称是特许经营附属机构的数量。正如行名所示,如果被调查者在其电子商务调查表上声称是特许人或加盟商,则该机构被归类为特许经营关联企业。我们看到21,500家(74%)网络搜索、16,500家(77%)核心yelp查询和28,500家(70%)非核心yelp查询的机构被受访者确定为特许经营附属机构,这与MAMBA的预测一致。因此,对于大多数机构,MAMBA预测和EC表格一致认为,该机构是特许经营附属机构,与我们12家核心特许经营附属机构的比例略高。然而,标签为“非加盟或未答复”的那一行显示,还有相当多的机构——7400家(26%)、5000家(23%)和12500家(30%)——被调查者声称不是加盟加盟,这与MAMBA的预测相矛盾。如果被调查者没有填写其EC调查表格中的特许经营部分,或填写了该表格但声称该机构与特许经营无关,则该机构将被归类为非特许经营关联企业。这两家集团都被归类为非特许经营附属公司,因为如果他们的电子商务表格仅从表面价值来看,他们就会被归类为特许经营附属公司。总的来说,表$7.4$显示很大一部分机构的信息相互矛盾


统计代写|经济统计代写Economic Statistics代考

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