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Wiswall, Matthew's
Scholarly Papers
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Aggregate Statistics |
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Total Downloads
817 |
Total
Citations
10 |
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1.
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Determinants of College Major Choice: Identification Using an Information Experiment
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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Posted:
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07 Jul 11
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Last Revised:
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30 Jan 13
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220
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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31 Aug 11
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30 Jan 13
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179
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college majors, information, uncertainty, risk, subjective expectations, marriage market returns, gender differences
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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11
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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30
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college major, information, uncertainty, risk, subjective expectations, marriage market returns
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2.
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Wiswall, Matthew New York University (NYU)
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112
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teacher quality, teacher value added, returns to experience, linear models, fixed effect models
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3.
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Do Small Schools Improve Performance in Large, Urban Districts? Causal Evidence from New York City
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Schwartz, Amy Ellen New York University (NYU) - Institute for Education and Social Policy Stiefel, Leanna New York University (NYU) - Robert F. Wagner Graduate School of Public Service Wiswall, Matthew New York University (NYU)
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25 Aug 11
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Last Revised:
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05 Feb 12
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104
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Schwartz, Amy Ellen New York University (NYU) - Institute for Education and Social Policy Stiefel, Leanna New York University (NYU) - Robert F. Wagner Graduate School of Public Service Wiswall, Matthew New York University (NYU)
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67
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education reform, small schools, heterogeneous treatment, instrumental variables
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Schwartz, Amy Ellen New York University (NYU) - Institute for Education and Social Policy Stiefel, Leanna New York University (NYU) - Robert F. Wagner Graduate School of Public Service Wiswall, Matthew New York University (NYU)
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25 Aug 11
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05 Feb 12
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37
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4.
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Wiswall, Matthew New York University (NYU) Gemici, Ahu New York University (NYU) - Department of Economics
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81
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5.
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Del Boca, Daniela University of Turin - Department of Economics Flinn, Christopher J. New York University -Leonard N. Stern School of Business - Department of Economics Wiswall, Matthew New York University (NYU)
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80
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3
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time allocation, child development, household labor supply
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6.
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How do College Students Respond to Public Information about Earnings?
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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Posted:
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17 Sep 11
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Last Revised:
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03 Feb 13
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57
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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27 Sep 11
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03 Feb 13
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25
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belief updating, college majors, information, uncertainty, subjective expectations, Bayesian updating
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Wiswall, Matthew New York University (NYU) Zafar, Basit Federal Reserve Bank of New York
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17 Sep 11
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Last Revised:
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03 Feb 13
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32
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belief updating, college majors, information, uncertainty, subjective expectations, Bayesian updating
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7.
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Mogstad, Magne Statistics Norway Wiswall, Matthew New York University (NYU)
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45
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1
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instrumental variables, variable treatment intensity, treatment effect heterogeneity, selection bias, quantity-quality, family size, child outcome
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8.
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Stiefel, Leanna New York University (NYU) - Robert F. Wagner Graduate School of Public Service Wiswall, Matthew New York University (NYU) Schwartz, Amy Ellen New York University (NYU) - Institute for Education and Social Policy Debraggio, Elizabeth New York University (NYU) - Institute for Education and Social Policy
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39
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education reform, small schools
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9.
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Løken, Katrine Vellesen University of Bergen - Department of Economics Mogstad, Magne Statistics Norway Wiswall, Matthew New York University (NYU)
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31
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2
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instrumental variables estimation, fixed effects estimation, nonlinearities, child development, family income, linear models
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10.
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Mogstad, Magne Statistics Norway Wiswall, Matthew New York University (NYU)
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25
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linear model, variable treatment intensity, nonlinearity, instrumental variables
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11.
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Mogstad, Magne Statistics Norway Wiswall, Matthew New York University (NYU)
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23
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instrumental variables, partially missing instruments, sample selection, sub-sample estimation
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