17.874 Quantitative Research Methods: Multivariate, Spring 2004
This course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect i...
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| Format: | Learning Object |
| Language: | en-US |
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2023
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| Online Access: | https://hdl.handle.net/1721.1/152442 |
| _version_ | 1826196517898158080 |
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| author | Ansolabehere, Stephen |
| author2 | Massachusetts Institute of Technology. Department of Political Science |
| author_facet | Massachusetts Institute of Technology. Department of Political Science Ansolabehere, Stephen |
| author_sort | Ansolabehere, Stephen |
| collection | MIT |
| description | This course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect is a conditional mean (though we might imagine other effect). The notion of causality is the effect of one variable on another holding all else constant. |
| first_indexed | 2024-09-23T10:28:37Z |
| format | Learning Object |
| id | mit-1721.1/152442 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T08:51:55Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | mit-1721.1/1524422025-02-21T18:45:37Z 17.874 Quantitative Research Methods: Multivariate, Spring 2004 Quantitative Research Methods: Multivariate Ansolabehere, Stephen Massachusetts Institute of Technology. Department of Political Science Quantitative research design Econometrics Multivariate statistics Politics Matrix algebra Regression Voting behavior Prediction Qualitative variable Bootstrapping Political model Causality Conditional mean Public policy Analysis 270501 Statistics, General 451099 Political Science and Government, Other This course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect is a conditional mean (though we might imagine other effect). The notion of causality is the effect of one variable on another holding all else constant. 2023-10-16T21:36:11Z 2023-10-16T21:36:11Z 2004-06 2023-10-16T21:36:18Z Learning Object 17.874-Spring2004 17.874 IMSCP-MD5-9a002aff75f7cda4cb83410ee28c4395 https://hdl.handle.net/1721.1/152442 en-US This site (c) Massachusetts Institute of Technology 2023. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. 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| spellingShingle | Quantitative research design Econometrics Multivariate statistics Politics Matrix algebra Regression Voting behavior Prediction Qualitative variable Bootstrapping Political model Causality Conditional mean Public policy Analysis 270501 Statistics, General 451099 Political Science and Government, Other Ansolabehere, Stephen 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title | 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title_full | 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title_fullStr | 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title_full_unstemmed | 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title_short | 17.874 Quantitative Research Methods: Multivariate, Spring 2004 |
| title_sort | 17 874 quantitative research methods multivariate spring 2004 |
| topic | Quantitative research design Econometrics Multivariate statistics Politics Matrix algebra Regression Voting behavior Prediction Qualitative variable Bootstrapping Political model Causality Conditional mean Public policy Analysis 270501 Statistics, General 451099 Political Science and Government, Other |
| url | https://hdl.handle.net/1721.1/152442 |
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