{"id":616,"date":"2014-02-15T11:26:00","date_gmt":"2014-02-15T11:26:00","guid":{"rendered":"http:\/\/admin.patheos.com\/blogs\/janetheactuary\/2014\/02\/table-of-the-day.html"},"modified":"2014-02-15T11:26:00","modified_gmt":"2014-02-15T11:26:00","slug":"table-of-the-day","status":"publish","type":"post","link":"https:\/\/www.patheos.com\/blogs\/janetheactuary\/2014\/02\/table-of-the-day.html","title":{"rendered":"Table of the Day"},"content":{"rendered":"\n<\/head>

More fun with the BLS.gov data \u2014 in this case, looking at the pay changes by decile and quartile, for men and women. \u00a0Unfortunately, the data publicly available on the site was limited to the years 2000 \u2013 2013 for the top and bottom decile and the 1st and 3rd quartile \u2014 presumably the deeper historical data is available offline if I were an economist by profession rather than an armchair economist. \u00a0But it\u2019s still instructive to look at the data set that is available:<\/p>\n

Percent change in income, 2000 \u2013 2013<\/b><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nAll<\/td>\nMen<\/td>\nWomen<\/td>\nWomen\u2019s pay as % of men\u2019s, 2013<\/td>\n<\/tr>\n
1st decile<\/td>\n0.979<\/td>\n0.956<\/td>\n0.996<\/td>\n0.899<\/td>\n<\/tr>\n
1st quartile<\/td>\n0.994<\/td>\n0.971<\/td>\n1.056<\/td>\n0.880<\/td>\n<\/tr>\n
median<\/td>\n0.996<\/td>\n0.992<\/td>\n1.059<\/td>\n0.821<\/td>\n<\/tr>\n
3rd quartile<\/td>\n1.067<\/td>\n1.058<\/td>\n1.110<\/td>\n0.781<\/td>\n<\/tr>\n
9th decile<\/td>\n1.108<\/td>\n1.074<\/td>\n1.148<\/td>\n0.758<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

(I\u2019ve copied this over from my calculations in excel, and the formatting was lost in the process, but there are few enough numbers that this is still easy to read.)<\/div>\n
<\/div>\n
Note that the splits in men and women show the pay of women in the top decile of women<\/i>, for instance, not the top earners overall. \u00a0And that women at all earnings levels stayed steady or increased, where the same is not true for men. \u00a0It\u2019s also interesting to see that at the very lowest earnings levels, women\u2019s earnings are much closer to men\u2019s. \u00a0<\/div>\n
<\/div>\n
Now, I\u2019d really love to see this over several decades, and perhaps if I look a bit harder later, I might be able to find studies that provide this data.<\/div>\n
<\/div>\n
Margaret Thatcher had a famous quote (at least as shown in The Iron Lady) in which she railed that her opponents, in spewing about \u201cincome inequality,\u201d would rather that everyone be poor, than that everyone\u2019s standard of living improve, but some not as much as others. \u00a0And we\u2019ve got our notion of \u201ca rising tide lifts all boats\u201d \u2014 but since the year 2000, this hasn\u2019t been the case. \u00a0Has this been true over a longer period? \u00a0Inquiring minds want to know.<\/div>\n<\/body><\/html>\n","protected":false},"excerpt":{"rendered":"

More fun with the BLS.gov data \u2014 in this case, looking at the pay changes by decile and quartile, for men and women. \u00a0Unfortunately, the data publicly available on the site was limited to the years 2000 \u2013 2013 for the top and bottom decile and the 1st and 3rd quartile \u2014 presumably the deeper […]<\/p>\n","protected":false},"author":2209,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-616","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nTable of the Day<\/title>\n<meta name=\"description\" content=\"More fun with the BLS.gov data -- in this case, looking at the pay changes by decile and quartile, for men and women.  Unfortunately, the data\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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