gistfile1.txt

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    "For Section 4, the problem outline is to show how I would use publicly available data to estimate the number of people who qualify for a special enrollment period each year. One way to be eligible for the special enrollment includes undergoing some kind of life-changing event. This includes getting married, moving, having children, and becoming a citizen. In the following sections I will outline the datasets and the features needed to estimate those eligible for special enrollment."
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   "source": [
    "# Datasets To Be Used "
   ]
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   "source": [
    "The datasets being used from the US Census data include: 'Marital Status of the Population 15 Years Old and Over, by Sex, Race, and Hispanic Origin: 1950 to Present' and 'Estimated Median Age at First Marriage, by Sex: 1890 to the Present.'\n",
    "\n",
    "Dataset found here: http://www.census.gov/hhes/families/data/marital.html\n",
    "\n",
    "I would extract the Sex, Race, and Median Age from these two datasets."
   ]
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   "source": [
    "The Geographical Mobility data gives better estimates for those who change from county, state, region, and abroad. It also includes data on poverty status, which is useful to see those eligible for more support.\n",
    "\n",
    "Datasets found here: http://www.census.gov/data/tables/2015/demo/geographic-mobility/cps-2015.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To estimate those becoming naturalized, Homeland Security has datasets that include state, region, and other demographic data.\n",
    "\n",
    "Datasets found here: https://www.dhs.gov/yearbook-immigration-statistics-2014-naturalizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The National Center for Health Statistics provides data on births by place of occurrence and residence.\n",
    "\n",
    "Datasets found here: http://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "# Estimation"
   ]
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   "source": [
    "For some of these datasets, a lot of the estimation has already been finished(Geographical Mobility & Homeland Security). However, to estimate the other two (Marriage & Births), I would assume that I was given a dataset like the one given for this test. I would then try to create a model using the given features of Sex, Race, and Residence, alongside the aggregated data found in the Marital dataset. The model would be made in a similar fashion to 'uninsured_score' and would attempt to predict the population of people in each county based on its demographics."
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