{"type":"rich","published":"2021-09-04 12:31:56","provider_url":"https://hatena.blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/cross_hyou/","url":"https://www.crosshyou.info/entry/2021/09/04/123156","blog_url":"https://www.crosshyou.info/","width":"100%","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20210904/20210904113749.jpg","provider_name":"Hatena Blog","height":"190","description":"Photo by Masako Ishida on Unsplash www.crosshyou.info This post is following of the above post. Which chountry has many observations? NZL has 22 observations. AUT, BEL, DNK, FIN, NOR and SWE have 16 observations. Let's see NZL data. We see emplyment gender wage gap is less than selfemploy gender wag\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2021%2F09%2F04%2F123156\" title=\"OECD Gender wage gap data analysis 4 - Time Series Data Regression with lag and trend using R - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"OECD Gender wage gap data analysis 4 - Time Series Data Regression with lag and trend using R","author_name":"cross_hyou","categories":["Data_Analysis"],"blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0"}