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applications of
TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOM We reach several conclusions. First, we find that in the third grade, speaking a language other than English at home has a statistically significant, negative effect on reading test scores, but the effect does not exist for math test scores. Second, the pattern persists through the fifth grade. TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall Remote AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS IntroExamplesConclusion Overfitting I Overfitting: estimating a model that performs well in-sample but poorly out-of-sample I Example: Suppose you have cross-sectional data for a continuous outcome across n individuals I One way to predict earnings is to use OLS and estimate n dummy variable coefficients (no constant) I R2 = 1, indicating perfect in-sample fit SELECTIVEMIGRATION,OCCUPATIONALCHOICE,AND SelectiveMigration,OccupationalChoice,and theWageReturnstoCollegeMajors∗ TylerRansom† UniversityofOklahoma February7,2021 Abstract AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are TYLER RANSOM BY TYLERANSOM Tyler Ransom. I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA). I graduated with a PhD in Economics from Duke University in May 2015. My research interests include labor economics, urban economics, the economics of education, andapplications of
TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOM We reach several conclusions. First, we find that in the third grade, speaking a language other than English at home has a statistically significant, negative effect on reading test scores, but the effect does not exist for math test scores. Second, the pattern persists through the fifth grade. TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall Remote AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS IntroExamplesConclusion Overfitting I Overfitting: estimating a model that performs well in-sample but poorly out-of-sample I Example: Suppose you have cross-sectional data for a continuous outcome across n individuals I One way to predict earnings is to use OLS and estimate n dummy variable coefficients (no constant) I R2 = 1, indicating perfect in-sample fit SELECTIVEMIGRATION,OCCUPATIONALCHOICE,AND SelectiveMigration,OccupationalChoice,and theWageReturnstoCollegeMajors∗ TylerRansom† UniversityofOklahoma February7,2021 Abstract AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOM We use public documents from the Students For Fair Admissions v.Harvard University lawsuit to examine admissions preferences for recruited athletes, legacies, those on the dean's interest list, and children of faculty and staff (ALDCs). Over 43% of white admits are ALDC; the share for African American, Asian American, and Hispanics isless than 16%.
IN-CLASS LAB 6
The purpose of this in-class lab is to practice using dummy variables in R. The lab should be completed in your group. To get credit, upload your .R script to the appropriate place on Canvas. CHANGES ACROSS COHORTS IN WAGE RETURNS TO SCHOOLING AND Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences Jared Ashworthy V. Joseph Hotzz Arnaud Maurelx Tyler Ransom{ August 15, 2020 Abstract This paper investigates the wage returns to schooling and actual early work expe-IN-CLASS LAB 15
In-Class Lab 15. The purpose of this in-class lab is to use R to practice with panel data estimation methods. To get credit, upload your .R script to the appropriate place on Canvas.IN-CLASS LAB 7
In-Class Lab 7 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) February23, 2021
Thepurposeofthisin-classlabistopracticeconductinghypothesistestsaboutregressionparametersinIN-CLASS LAB 5
In-Class Lab 5 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) February11, 2021
Thepurposeofthisin-classlabistobetterunderstandomittedvariablebiasandmulticollinearity.IN-CLASS LAB 12
In-Class Lab 12 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) March25, 2021
Thepurposeofthisin-classlabistouseRtopracticewithinstrumentalvariablesestimation. EVERYTHING YOU WANTED TO KNOW ABOUT COLLEGE MAJOR CHOICE Everything you wanted to know about college major choice Prof. Tyler Ransom University of Oklahoma, Dept. of Economics Novebmer 26, 20190/30
COLLEGE ATTRITION AND THE DYNAMICS OF INFORMATION REVELATION College Attrition and the Dynamics of Information Revelation ∗ PeterArcidiacono† EstebanAucejo‡ ArnaudMaurel§ TylerRansom¶ May31,2016 Abstract This paper investigates the role played by informational frictions in college and TYLER RANSOM BY TYLERANSOM Tyler Ransom. I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA). I graduated with a PhD in Economics from Duke University in May 2015. My research interests include labor economics, urban economics, the economics of education, andapplications of
TYLER RANSOM BY TYLERANSOM We reach several conclusions. First, we find that in the third grade, speaking a language other than English at home has a statistically significant, negative effect on reading test scores, but the effect does not exist for math test scores. Second, the pattern persists through the fifth grade. TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall RemoteIN-CLASS LAB 6
The purpose of this in-class lab is to practice using dummy variables in R. The lab should be completed in your group. To get credit, upload your .R script to the appropriate place on Canvas.IN-CLASS LAB 15
In-Class Lab 15. The purpose of this in-class lab is to use R to practice with panel data estimation methods. To get credit, upload your .R script to the appropriate place on Canvas. AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are TYLER RANSOM BY TYLERANSOM Tyler Ransom. I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA). I graduated with a PhD in Economics from Duke University in May 2015. My research interests include labor economics, urban economics, the economics of education, andapplications of
TYLER RANSOM BY TYLERANSOM We reach several conclusions. First, we find that in the third grade, speaking a language other than English at home has a statistically significant, negative effect on reading test scores, but the effect does not exist for math test scores. Second, the pattern persists through the fifth grade. TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall RemoteIN-CLASS LAB 6
The purpose of this in-class lab is to practice using dummy variables in R. The lab should be completed in your group. To get credit, upload your .R script to the appropriate place on Canvas.IN-CLASS LAB 15
In-Class Lab 15. The purpose of this in-class lab is to use R to practice with panel data estimation methods. To get credit, upload your .R script to the appropriate place on Canvas. AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons areIN-CLASS LAB 6
The purpose of this in-class lab is to practice using dummy variables in R. The lab should be completed in your group. To get credit, upload your .R script to the appropriate place on Canvas.IN-CLASS LAB 2
September 1, 2020. The purpose of this lab is to practice using R to conduct hypothesis tests and run a basic OLS regression. The lab may be completed as a group. To get credit, upload your .R script to the appropriate place on Canvas. If done as a group, please list the names of all group members in a comment at the top of the file.IN-CLASS LAB 12
In-Class Lab 12 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) March25, 2021
IN-CLASS LAB 15
In-Class Lab 15. The purpose of this in-class lab is to use R to practice with panel data estimation methods. To get credit, upload your .R script to the appropriate place on Canvas.IN-CLASS LAB 9
The LM test. The LM test is an alternative to the overall F test that is reported in glance (est). To perform the LM test, we need to do the following: Estimate the restricted model (in the current case, this is an intercept-only model) and then obtain the residuals from that. Regress the residuals from (a) on the regressors in the full model. AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS IntroExamplesConclusion Overfitting I Overfitting: estimating a model that performs well in-sample but poorly out-of-sample I Example: Suppose you have cross-sectional data for a continuous outcome across n individuals I One way to predict earnings is to use OLS and estimate n dummy variable coefficients (no constant) I R2 = 1, indicating perfect in-sample fit AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are EVERYTHING YOU WANTED TO KNOW ABOUT COLLEGE MAJOR CHOICE Everything you wanted to know about college major choice Prof. Tyler Ransom University of Oklahoma, Dept. of Economics Novebmer 26, 20190/30
IN-CLASS LAB 12
In-Class Lab 12 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) March25, 2021
Thepurposeofthisin-classlabistouseRtopracticewithinstrumentalvariablesestimation. HAS THE COLLEGE WAGE PREMIUM CONTINUED TO RISE? EVIDENCE school dropouts, α1sc the wage premium for holding exactly a high school diploma (relative to not completing high school), and α2sc the wage premium for holding exactly a bachelor’s degree (relative to completing high school), i.e. the CWP.6 Finally, α 3sc measures the wage premium for holding a graduate degree (relative to a bachelor’s degree). We present and discuss estimates of (3.1 TYLER RANSOM BY TYLERANSOM Tyler Ransom. I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA). I graduated with a PhD in Economics from Duke University in May 2015. My research interests include labor economics, urban economics, the economics of education, andapplications of
TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOM We use public documents from the Students For Fair Admissions v.Harvard University lawsuit to examine admissions preferences for recruited athletes, legacies, those on the dean's interest list, and children of faculty and staff (ALDCs). Over 43% of white admits are ALDC; the share for African American, Asian American, and Hispanics isless than 16%.
TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall Remote AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS IntroExamplesConclusion Overfitting I Overfitting: estimating a model that performs well in-sample but poorly out-of-sample I Example: Suppose you have cross-sectional data for a continuous outcome across n individuals I One way to predict earnings is to use OLS and estimate n dummy variable coefficients (no constant) I R2 = 1, indicating perfect in-sample fit SELECTIVEMIGRATION,OCCUPATIONALCHOICE,AND SelectiveMigration,OccupationalChoice,and theWageReturnstoCollegeMajors∗ TylerRansom† UniversityofOklahoma February7,2021 Abstract AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are TYLER RANSOM BY TYLERANSOM Tyler Ransom. I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA). I graduated with a PhD in Economics from Duke University in May 2015. My research interests include labor economics, urban economics, the economics of education, andapplications of
TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos. TYLER RANSOM BY TYLERANSOM We use public documents from the Students For Fair Admissions v.Harvard University lawsuit to examine admissions preferences for recruited athletes, legacies, those on the dean's interest list, and children of faculty and staff (ALDCs). Over 43% of white admits are ALDC; the share for African American, Asian American, and Hispanics isless than 16%.
TYLER RANSOM BY TYLERANSOMSEE MORE ON TYLERANSOM.GITHUB.IOIN-CLASS LAB 8
February 25, 2021. The purpose of this in-class lab is to practice conducting joint hypothesis tests of regression parameters in R. We will do this using t-tests and F-tests. The lab may be completed in your group, but each group member should submit their own copy. To get credit, upload your .R script to the appropriate place on Canvas. TYLER RANSOM BY TYLERANSOM Econometrics In-class Labs. tidyverse cheat sheet ( PDF) During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different fileformats.
ECONOMICSLETTERS LEARNINGDURINGTHECOVID-19PANDEMIC G. Orlov, D. McKee, J. Berry et al. Economics Letters 202 (2021) 109812 Table 3 Effectsofpedagogyonstudentlearningduringthepandemic. (1) (2) Overall Remote AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS IntroExamplesConclusion Overfitting I Overfitting: estimating a model that performs well in-sample but poorly out-of-sample I Example: Suppose you have cross-sectional data for a continuous outcome across n individuals I One way to predict earnings is to use OLS and estimate n dummy variable coefficients (no constant) I R2 = 1, indicating perfect in-sample fit SELECTIVEMIGRATION,OCCUPATIONALCHOICE,AND SelectiveMigration,OccupationalChoice,and theWageReturnstoCollegeMajors∗ TylerRansom† UniversityofOklahoma February7,2021 Abstract AN INTRODUCTION TO THE JULIA PROGRAMMING LANGUAGE What is Julia? Syntax Coding Tips Data Analysis Optimization Examples Syntax differences vs. Matlab Use “” to index matrices (so X(:,1)in Matlab should be X) ones(N)produces an Nx1 vector in Julia as opposed to an NxN matrix element-wise operators need to explicitly have “.” in them (e.g. X.==1) Julia by default does not print output to the screen, so no semicolons are TYLER RANSOM BY TYLERANSOM We use public documents from the Students For Fair Admissions v.Harvard University lawsuit to examine admissions preferences for recruited athletes, legacies, those on the dean's interest list, and children of faculty and staff (ALDCs). Over 43% of white admits are ALDC; the share for African American, Asian American, and Hispanics isless than 16%.
TYLER RANSOM BY TYLERANSOM Introduction to machine learning for social scientists: Slides from a short presentation that outlines what machine learning is and how social scientists can benefit from using its methods. Practical tips for machine learning practitioners, via Pedro Domingos. The Master Algorithm, written by Pedro Domingos.IN-CLASS LAB 6
The purpose of this in-class lab is to practice using dummy variables in R. The lab should be completed in your group. To get credit, upload your .R script to the appropriate place on Canvas. CHANGES ACROSS COHORTS IN WAGE RETURNS TO SCHOOLING AND Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences Jared Ashworthy V. Joseph Hotzz Arnaud Maurelx Tyler Ransom{ August 15, 2020 Abstract This paper investigates the wage returns to schooling and actual early work expe-IN-CLASS LAB 15
In-Class Lab 15. The purpose of this in-class lab is to use R to practice with panel data estimation methods. To get credit, upload your .R script to the appropriate place on Canvas. DO FOREIGNERS CROWD NATIVES OUT OF STEM DEGREES AND DO FOREIGNERS CROWD NATIVES OUT OF STEM DEGREES AND OCCUPATIONS? EVIDENCE FROM THE US IMMIGRATION ACT OF 1990 TYLER RANSOM AND JOHN V. WINTERS* This article examines effects of the US Immigration Act of1990 on
IN-CLASS LAB 5
In-Class Lab 5 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) February11, 2021
Thepurposeofthisin-classlabistobetterunderstandomittedvariablebiasandmulticollinearity. EVERYTHING YOU WANTED TO KNOW ABOUT COLLEGE MAJOR CHOICE Everything you wanted to know about college major choice Prof. Tyler Ransom University of Oklahoma, Dept. of Economics Novebmer 26, 20190/30
IN-CLASS LAB 12
In-Class Lab 12 ECON 4223 (Prof. Tyler Ransom, U of Oklahoma) March25, 2021
Thepurposeofthisin-classlabistouseRtopracticewithinstrumentalvariablesestimation. COLLEGE ATTRITION AND THE DYNAMICS OF INFORMATION REVELATION College Attrition and the Dynamics of Information Revelation ∗ PeterArcidiacono† EstebanAucejo‡ ArnaudMaurel§ TylerRansom¶ May31,2016 Abstract This paper investigates the role played by informational frictions in college andTYLER RANSOM
Assistant Professor of Economics University of OklahomaResearch Affiliate
Institute for the Study of Labor (IZA)HOME
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Department of Economics University of Oklahoma 322 CCD1, 308 Cate Center DriveNorman, OK 73072
I am currently an Assistant Professor of Economics at the University of Oklahoma and Research Affiliate at the Institute for the Study of Labor (IZA) . I graduated with a PhD in Economics from Duke Universityin May 2015.
My research interests include labor economics, urban economics, the economics of education, and applications of machine learning. Hosted on GitHub Pages — Theme by orderedlistDetails
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