{"componentChunkName":"component---src-templates-post-query-tsx","path":"/blog-post/total-sanitation-campaign-paper-new-version-posted/","result":{"pageContext":{"post":{"slug":"/blog-post/total-sanitation-campaign-paper-new-version-posted/","title":"Total Sanitation Campaign paper: new version posted","date":"Apr 03, 2012","timeToRead":1,"description":"","body":"function _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\n/* @jsxRuntime classic */\n\n/* @jsx mdx */\nvar _frontmatter = {\n  \"title\": \"Total Sanitation Campaign paper: new version posted\",\n  \"date\": \"2012-04-03\",\n  \"template\": \"post\",\n  \"slug\": \"total-sanitation-campaign-paper-new-version-posted\",\n  \"postedLink\": \"https://riceinstitute.org/blog/total-sanitation-campaign-paper-new-version-posted/\",\n  \"description\": \"\",\n  \"tags\": \"Blog Post\",\n  \"banner\": \"\"\n};\nvar layoutProps = {\n  _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n  var components = _ref.components,\n      props = _objectWithoutProperties(_ref, [\"components\"]);\n\n  return mdx(MDXLayout, _extends({}, layoutProps, props, {\n    components: components,\n    mdxType: \"MDXLayout\"\n  }), mdx(\"p\", null, mdx(\"em\", {\n    parentName: \"p\"\n  }, \"I have posted in our research section a new, \", mdx(\"a\", {\n    parentName: \"em\",\n    \"href\": \"http://riceinstitute.org/wordpress/research/?did=3\",\n    \"target\": \"_blank\",\n    \"rel\": \"noopener noreferrer\"\n  }, \"complete version of the TSC paper\"), \", looking like an economics paper. Here's the abstract:\")), mdx(\"p\", null, \"Over a billion people worldwide defecate openly without a toilet or latrine, with profound health consequences: over two million children under 5 die from diarrheal disease each year, and chronic infection prevents surviving children from reaching human capital potentials. Although it is well-known that modern sewage infrastructure improves health, it is unknown whether a sanitation program feasible for a low capacity, poor country government could be effective. This paper contributes the \\ffirst causally identified estimates of effects of on-site rural sanitation on health and human capital accumulation.\"), mdx(\"p\", null, \"The Indian government\\u2019s Total Sanitation Campaign reports building one household pit latrine per ten rural persons from 2001 to 2011. The program offered local governments a large ex-post monetary incentive to eliminate open defecation. I use several complementary identification strategies to estimate the program\\u2019s effect on children\\u2019s health. First, I exploit variation in program timing, comparing children born in different years. Second, I study a difference-in-differences in aggregate mortality. Third, I exploit a discontinuity designed into the monetary incentive.\"), mdx(\"p\", null, \"At the mean program intensity, infant mortality decreased by 4 per 1,000 and children\\u2019s height increased by 0.2 standard deviations (similar to the cross-sectional difference associated with doubling household consumption per capita). Importantly, unlike many impact evaluations, this paper studies a full-scale program implemented by a large government bureaucracy with low administrative capacity. Nevertheless, the program prevented an average infant death for $2,000-$3,000, a very low cost compared with other programs in the literature. This estimate includes all administrative costs and losses to corruption.\"));\n}\n;\nMDXContent.isMDXComponent = true;","tags":[{"name":"Blog Post","slug":"blog-post"}],"banner":null}}},"staticQueryHashes":["318001574","3787687951","3787687951"]}