{"url":"https://himaginary.hatenablog.com/entry/20161015/ricardian_equivalence_benchmark_models","height":"190","version":"1.0","categories":["\u7d4c\u6e08"],"author_name":"himaginary","description":"Economist's View\u3082\u53d6\u308a\u4e0a\u3052\u3066\u3044\u308b\u304c\u30015\u65e5\u30a8\u30f3\u30c8\u30ea\u3067\u7d39\u4ecb\u3057\u305f\u30d6\u30e9\u30f3\u30b7\u30e3\u30fc\u30eb\u306e\u8ad6\u8003\u306b\u30b5\u30a4\u30e2\u30f3\u30fb\u30ec\u30f3\u30fc\u30eb\u30a4\u30b9\u304c\u53cd\u5fdc\u3057\u3066\u3044\u308b\u3002\u305d\u3053\u3067\u5f7c\u306f\u3001\u30d6\u30e9\u30f3\u30b7\u30e3\u30fc\u30eb\u306e\u66f8\u3044\u305f For conditional forecasting, i.e. to look for example at the effects of changes in policy, more structural models are needed, but they must fit the data closely and do not need to be religious about micro foundation\u2026","title":"\u30ea\u30ab\u30fc\u30c9\u306e\u7b49\u4fa1\u6027\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30e2\u30c7\u30eb","provider_url":"https://hatena.blog","type":"rich","blog_title":"himaginary\u2019s diary","image_url":null,"published":"2016-10-15 00:00:00","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhimaginary.hatenablog.com%2Fentry%2F20161015%2Fricardian_equivalence_benchmark_models\" title=\"\u30ea\u30ab\u30fc\u30c9\u306e\u7b49\u4fa1\u6027\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30e2\u30c7\u30eb - himaginary\u2019s diary\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","blog_url":"https://himaginary.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/himaginary/","width":"100%"}