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337 | 337 | "# Data\n",
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338 | 338 | "## female\n",
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339 | 339 | "### read in and slice data\n",
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340 |
| - "female_data = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/calonico_smith_all.csv')\n", |
| 340 | + "female_data = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/calonico_smith_all.csv')\n", |
341 | 341 | "female_data[\"haschild\"]=(female_data[\"nchildren75\"]>0)*1\n",
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342 | 342 | "female_data = female_data[pd.notnull(female_data.re75) & pd.notnull(female_data.re79)]\n",
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343 | 343 | "female_treatment = female_data[female_data.treated==1.].copy()\n",
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350 | 350 | "\n",
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351 | 351 | "## male\n",
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352 | 352 | "### read in and slice data\n",
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353 |
| - "male_data = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/smith_todd.csv')\n", |
| 353 | + "male_data = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/smith_todd.csv')\n", |
354 | 354 | "male_treatment = male_data[male_data.treated==1.].copy()\n",
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355 | 355 | "male_control = male_data[male_data.treated==0.].copy()\n",
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356 |
| - "male_cps1 = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/cps_controls.csv')\n", |
357 |
| - "male_psid1 = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/psid_controls.csv')\n", |
358 |
| - "male_cps3 = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/cps_controls3.csv')\n", |
359 |
| - "male_psid3 = pd.read_csv('https://msalicedatapublic.z5.web.core.windows.net/datasets/Lalonde/psid_controls3.csv')\n", |
| 356 | + "male_cps1 = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/cps_controls.csv')\n", |
| 357 | + "male_psid1 = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/psid_controls.csv')\n", |
| 358 | + "male_cps3 = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/cps_controls3.csv')\n", |
| 359 | + "male_psid3 = pd.read_csv('https://econmldata.azurewebsites.net/datasets/Lalonde/psid_controls3.csv')\n", |
360 | 360 | "### some preprocessing\n",
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361 | 361 | "for df in [male_psid1,male_psid3,male_cps1,male_cps3]:\n",
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362 | 362 | " df.rename(columns={'treat':'treated', 'education':'educ', 'hispanic':'hisp'}, inplace=True)"
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