3 ms·

Coefficients of demographic characteristics of "Harbringers of failure" zip codes: Age -.2971 High school -.1710 Home value .2865 Bachelor’s degree .1197 I

by ehmish 7y ago

Coefficients of demographic characteristics of "Harbringers of failure" zip codes: Age -.2971 High school -.1710 Home value .2865 Bachelor’s degree .1197 Income .0646 White -.3919 Single family .4047 African American .2232 Multifamily .4132 Asian .3426 Distance -.3740 Hispanic .4854 Comp. distance -.4156 Coupon discount -.2333 Nbr. households .3160 Coupon frequency -.3741 Urban .4190 Unit price paid -.0523 Urban clusters -.1603 Meaning of these variables is here: https://docs.google.com/document/d/1d8O9ja_p08w6cSkOPZ-L1sDZU097AdIkw1qm8wJvoZw/edit?usp=sharing https://docs.google.com/document/d/1d8O9ja_p08w6cSkOPZ-L1sDZ...

cmroanirgo 7y ago
Not only do your numbers not appear in the document you provide, one has to wade through pages and reams of stats ... And your comment still makes no sense to me.
- hnuser123456 7y ago
  page 7 https://sci-hub.tw/https://journals.sagepub.com/doi/abs/10.1177/0022243719867935 https://sci-hub.tw/https://journals.sagepub.com/doi/abs/10.1... Recall that harbinger zip codes have low average successrates, and so a positive (negative) correlation in Table 3 indi-cates that harbinger zip codes have relatively low (high) valueson that variable.
- ehmish 7y ago
  Effectively what these mean is that, for example, if your product is popular in places where a lot of people are young white people, in a single family household, in the countryside, without a university degree it is not likely to be successful. If your product is popular in places with a lot of older hispanic people, with a university degree, who live in the city, in an apartment building, it's more likely to be successful
ehmish 7y ago
Can't edit it now, but noticed the negative sign was missing off one of them, "single family" should be a negative value. From the paper: These values effectively state the correlation between the odds of the product succeeding, and people who buy the product having that characteristic. Age Average age of head of household Home Value Estimated home value Income Est. household income in the zip code Single Family % of households in single family homes Multi-family % of households in multi-family homes Distance Distance to nearest MassStore store Comp. Distance Distance to nearest competitors’ store Nbr Households Number of households in the zip code % Urbananized % households classified as “Urbanized” % Urban Clusters % households in “Urban Clusters” High School % of households whose highest educational attainment is graduating high sch Bachelors % of households whose highest educational attainment is a bachelor degree White % of households that are identified as “White” African American % of households that are identified as “African American” Asian % of households that are identified as “Asian” Hispanic % of households that are identified as “Hispanic or Latino (of any race)”

by ehmish 7y ago

cmroanirgo 7y ago

Not only do your numbers not appear in the document you provide, one has to wade through pages and reams of stats ... And your comment still makes no sense to me.

hnuser123456 7y ago
page 7 https://sci-hub.tw/https://journals.sagepub.com/doi/abs/10.1177/0022243719867935 https://sci-hub.tw/https://journals.sagepub.com/doi/abs/10.1... Recall that harbinger zip codes have low average successrates, and so a positive (negative) correlation in Table 3 indi-cates that harbinger zip codes have relatively low (high) valueson that variable.
ehmish 7y ago
Effectively what these mean is that, for example, if your product is popular in places where a lot of people are young white people, in a single family household, in the countryside, without a university degree it is not likely to be successful. If your product is popular in places with a lot of older hispanic people, with a university degree, who live in the city, in an apartment building, it's more likely to be successful

ehmish 7y ago

Can't edit it now, but noticed the negative sign was missing off one of them, "single family" should be a negative value. From the paper: These values effectively state the correlation between the odds of the product succeeding, and people who buy the product having that characteristic. Age Average age of head of household Home Value Estimated home value Income Est. household income in the zip code Single Family % of households in single family homes Multi-family % of households in multi-family homes Distance Distance to nearest MassStore store Comp. Distance Distance to nearest competitors’ store Nbr Households Number of households in the zip code % Urbananized % households classified as “Urbanized” % Urban Clusters % households in “Urban Clusters” High School % of households whose highest educational attainment is graduating high sch Bachelors % of households whose highest educational attainment is a bachelor degree White % of households that are identified as “White” African American % of households that are identified as “African American” Asian % of households that are identified as “Asian” Hispanic % of households that are identified as “Hispanic or Latino (of any race)”