Contents:

I.) Patrick Button

     a. Urban Economics (Tulane ECON 3320) [syllabus link--online courses] [syllabus link F2F]

        i. Activity 1: Incentives Economic Development Incentives [activity link here] [rubric link here]

This activity is a briefing note.  Students are assigned 1 of 5 readings:

1. Neumark, David, and Jed Kolko. "Do enterprise zones create jobs? Evidence from California’s enterprise zone program." Journal of Urban Economics 68, no. 1 (2010): 1-19.

2. Holmes, Thomas J. "The effect of state policies on the location of manufacturing: Evidence from state borders." Journal of political Economy 106, no. 4 (1998): 667-705.

3. Moretti, Enrico, and Daniel J. Wilson. "State incentives for innovation, star scientists and jobs: Evidence from biotech." Journal of Urban Economics 79 (2014): 20-38.

4. Coates, Dennis, and Brad R. Humphreys. "The stadium gambit and local economic development." Regulation 23 (2000): 15.

5. Strauss-Kahn, Vanessa, and Xavier Vives. "Why and where do headquarters move?." Regional Science and Urban Economics 39, no. 2 (2009): 168-186.

        ii. Activity 2: Racial Bias in Policing and Criminal Justice [activity link here] [rubric link here]

This activity is a briefing note.  Students are assigned 1 of 6 readings:

1. Arnold, David, Will Dobbie, and Crystal S. Yang. 2018. “Racial Bias in Bail Decisions.” Quarterly Journal of Economics 133 (4): 1885–1932. https://doi.org/10.1093/qje/qjy012.

2. Fryer Jr, Roland G. "An empirical analysis of racial differences in police use of force." Journal of Political Economy 127, no. 3 (2019): 1210-1261.

3. Antonovics, K., & Knight, B. G. (2009). A new look at racial profiling: Evidence from the Boston Police Department. The Review of Economics and Statistics, 91(1), 163-177.

4. Antonovics, Kate, and Brian G. Knight. "A new look at racial profiling: Evidence from the Boston Police Department." The Review of Economics and Statistics 91, no. 1 (2009): 163-177.

5. Alesina, Alberto, and Eliana La Ferrara. "A test of racial bias in capital sentencing." American Economic Review 104, no. 11 (2014): 3397-3433.

6. Eren, Ozkan, and Naci Mocan. "Emotional judges and unlucky juveniles." American Economic Journal: Applied Economics 10, no. 3 (2018): 171-205.

Note: In more recent semesters, Button replaced Fryer (2019) with Hoekstra and Sloan (2020), and Alesina and La Ferrara (2014) with Sloan (2020) (both cited below).  Alternatively, one could have activities focused on more narrow topics, splitting the broader topic into:

1. Racial Bias in Criminal Justice and Policing, which would include the following papers:

a. Sloan, Carly, Will. 2020. “Racial Bias by Prosecutors: Evidence from Random Assignment.” Working Paper. Accessed December 29, 2020 from https://github.com/carlywillsloan/Prosecutors/blob/master/sloan_prosecutors_jpe.pdf

b. Eren, Ozkan, and Naci Mocan. 2018. “Emotional Judges and Unlucky Juveniles.” American Economic Journal: Applied Economics, 10(3): 171–205.

c. Coviello, Decio, and Nicola Persico. 2015. “An Economic Analysis of Black-White Disparities in the New York Police Department’s Stop-and-Frisk Program.” Journal of Legal Studies, 44(June 2015): 315–360.

d. Arnold, David, Will Dobbie, and Crystal S. Yang. 2018. “Racial Bias in Bail Decisions.” Quarterly Journal of Economics 133 (4): 1885–1932. https://doi.org/10.1093/qje/qjy012.

e. Antonovics, Kate, and Brian G Knight. 2009. “A New Look at Racial Profiling: Evidence from the Boston Police Department.” Review of Economics and Statistics, 91(1): 163–177.

f. Alesina, Alberto, and Eliana La Ferrara. 2014. “A test of racial bias in capital sentencing.” American Economic Review, 104(11): 3397–3433.

2. Racial Bias in Police Use of Force, which would include the following papers:

a. Hoekstra, Mark, and Carly Will Sloan. 2020. “Does Race Matter for Police Use of Force? Evidence from 911 Calls.” NBER Working Paper 26774.

b. Correll, Joshua, Bernadette Park, Charles M Judd, Bernd Wittenbrink, Melody S Sadler, and Tracie Keesee. 2007. “Across the Thin Blue Line: Police Officers and Racial Bias in the Decision to Shoot.” Journal of Personality and Social Psychology, 92(6 PG - 1006-1023): 1006–1023.

c. Johnson, David J., Trevor Tress, Nicole Burkel, Carley Taylor, and Joseph Cesario. 2019. “Officer Characteristics and Racial Disparities in Fatal Officer-Involved Shootings.” Proceedings of the National Academy of Sciences of the United States of America 116 (32): 15877–82. https://doi.org/10.1073/pnas.1903856116.    

d. Ross, Cody T. 2015. “A multi-level Bayesian analysis of racial bias in police shootings at the county-level in the United States, 2011-2014.” PLoS ONE, 10(11): 2011–2014.   

e. Fryer Jr., Roland G. 2019. “An empirical analysis of racial differences in police use of force.” Journal of Political Economy, 127(3): 1210–1261.

f. Fryer Jr., Roland G. 2018. “Reconciling Results on Racial Differences in Police Shootings.” American Economic Association Papers and Proceedings, 108: 228–233.

        iii. Activity 3: Industry Clusters [activity link here]

Students are assigned 1 of 3 readings:

1. Klepper, Steven. "Disagreements, spinoffs, and the evolution of Detroit as the capital of the US automobile industry." Management Science 53, no. 4 (2007): 616-631.

2. Saxenian, A. (1996). Inside-out: regional networks and industrial adaptation in Silicon Valley and Route 128. Cityscape, 41-60.

3. Florida, Richard, Charlotta Mellander, and Kevin Stolarick. "Geographies of scope: an empirical analysis of entertainment, 1970–2000." Journal of Economic Geography 12, no. 1 (2012): 183-204.

     b. Labor Economics (Tulane ECON 3810) [syllabus link]

        i. Activity 1: EITC Earned Income Tax Credit (EITC) and Labor Supply [activity link here] [rubric link here]

This activity is a briefing note.  Students are assigned 1 of 4 readings:

1. Chetty, R., & Saez, E. (2013). Teaching the tax code: Earnings responses to an experiment with EITC recipients. American Economic Journal: Applied Economics5(1), 1-31.           

2. Eissa, N., & Liebman, J. B. (1996). Labor supply response to the earned income tax credit. The Quarterly Journal of Economics111(2), 605-637.

3. Chetty, Raj, John N. Friedman, and Emmanuel Saez. "Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings." American Economic Review 103, no. 7 (2013): 2683-2721.          

4. Eissa, Nada, and Hilary Williamson Hoynes. "Taxes and the labor market participation of married couples: the earned income tax credit." Journal of Public Economics 88, no. 9-10 (2004): 1931-1958.

        ii. Activity 2: Is the Minimum Wage Good Policy? [activity link here] [rubric link here]

This activity is a briefing note.  Students are assigned 1 of 5 readings:

1. Dube, Arindrajit, T. William Lester, and Michael Reich. "Minimum wage effects across state borders: Estimates using contiguous counties." The Review of Economics and Statistics 92, no. 4 (2010): 945-964.\.

2. Neumark, David, and William Wascher. "Do minimum wages fight poverty?." Economic Inquiry 40, no. 3 (2002): 315-333.         

3. Neumark, D., & Wascher, W. (1992). Employment effects of minimum and subminimum wages: panel data on state minimum wage laws. ILR Review, 46(1), 55-81.     

4. Neumark, David, and William Wascher. "Employment effects of minimum and subminimum wages: panel data on state minimum wage laws." ILR Review 46, no. 1 (1992): 55-81.

5. Ruffini, Krista. (2019). Higher Wages, Service Quality, and Firm Profitability: Evidence from Nursing Homes and Minimum Wage Reforms, Working Paper. Accessed December 29, 2020 from https://sites.google.com/view/kristaruffini/home/research

III.) Augustine Denteh

     a. Health Economics (Tulane ECON 4500/6500) [syllabus link here]

        i. Activity 1: Explaining geographic differences in healthcare utilization [activity link here]

Students are assigned 1 of 5 readings:

1. Baicker, Katherine, and Amitabh Chandra. "Medicare Spending, The Physician Workforce, And Beneficiaries' Quality Of Care: Areas with a high concentration of specialists also show higher spending and less use of high-quality, effective care." Health Affairs 23, no. Suppl1 (2004): W4-184.           

2. Cooper, Richard A. "States With More Health Care Spending Have Better-Quality Health Care: Lessons About Medicare: Health care spending is an important contributor to quality, but the determinants of quality reach more deeply into a community's sociodemographic fabric." Health Affairs 27, no. Suppl1 (2008): w103-w115..       

3. Skinner, Jonathan, Amitabh Chandra, David Goodman, and Elliott S. Fisher. "The Elusive Connection Between Health Care Spending And Quality: Cooper may believe that he has challenged the basic scientific findings of the Dartmouth group. But he has not." Health Affairs 27, no. Suppl1 (2008): w119-w123.   

4. Zuckerman, Stephen, Timothy Waidmann, Robert Berenson, and Jack Hadley. "Clarifying sources of geographic differences in Medicare spending." New England Journal of Medicine 363, no. 1 (2010): 54-62.   

5. Doyle, Joseph J. "Returns to local-area health care spending: evidence from health shocks to patients far from home." American Economic Journal: Applied Economics 3, no. 3 (2011): 221-43.

ii. Activity 2: Diversity and Health—Does race concordance in physician-patient relationships matter? [activity link here]

Students are assigned 1 of 3 readings:

1. Meghani, Salimah H., Jacqueline M. Brooks, Trina Gipson-Jones, Roberta Waite, Lisa Whitfield-Harris, and Janet A. Deatrick. "Patient–provider race-concordance: does it matter in improving minority patients’ health outcomes?." Ethnicity & Health 14, no. 1 (2009): 107-130. 

2. Greenwood, Brad N., Seth Carnahan, and Laura Huang. "Patient–physician gender concordance and increased mortality among female heart attack patients." Proceedings of the National Academy of Sciences 115, no. 34 (2018): 8569-8574.

3. Alsan, Marcella, Owen Garrick, and Grant Graziani. "Does diversity matter for health? Experimental evidence from Oakland." American Economic Review 109, no. 12 (2019): 4071-4111.

IV.) Mónica I. Garcia-Pérez

     a. Econometrics (St. Cloud State ECON 485/585) [syllabus here]

     Students are assigned 1 of 3 readings for each of the following activities:

        i. Activity 1: Wages, returns to education, and the gender wage gap [activity link here]

1. Amuedo-Dorantes, Catalina, and Francisca Antman. "Schooling and labor market effects of temporary authorization: Evidence from DACA." Journal of Population Economics 30, no. 1 (2017): 339-373.

2. Pope, Nolan G. "The effects of DACAmentation: The impact of Deferred Action for Childhood Arrivals on unauthorized immigrants." Journal of Public Economics 143 (2016): 98-114.

3. García-Pérez, Mónica. "DACA recipients and their health insurance dream: Employment, schooling, and health coverage." Journal of Economics, Race, and Policy 2, no. 1-2 (2019): 77-108.

        ii. Activity 2: Immigration and Wages [activity link here]

1. Greenwood, Michael J., and Gary L. Hunt. "Economic effects of immigrants on native and foreign-born workers: Complementarity, substitutability, and other channels of influence." Southern Economic Journal (1995): 1076-1097.

2. Card, David. "Is the new immigration really so bad?." The Economic Journal 115, no. 507 (2005): F300-F323.

3. Borjas, George J & Freeman, Richard B & Katz, Lawrence, 1996. "Searching for the Effect of Immigration on the Labor Market," American Economic Review, vol. 86(2), 246-251.

iii. Activity 3: Public Policy, Difference-in-Differences (DD), Triple Differences (DDD), and Program Evaluation [activity link here]

1. Amuedo-Dorantes, Catalina, and Francisca Antman. "Schooling and labor market effects of temporary authorization: Evidence from DACA." Journal of population economics 30, no. 1 (2017): 339-373.

2. Pope, Nolan G. "The effects of DACAmentation: The impact of Deferred Action for Childhood Arrivals on unauthorized immigrants." Journal of Public Economics 143 (2016): 98-114.

3. García-Pérez, Mónica. "DACA recipients and their health insurance dream: Employment, schooling, and health coverage." Journal of Economics, Race, and Policy 2, no. 1-2 (2019): 77-108.

V.) Elliot Isaac

     a. Public Finance and Policy (Tulane ECON 4540/6540) [syllabus link here]

     Students are assigned 1 of 3 readings for each of the following activities:

        i. Activity 1: Does the EITC reduce poverty? [activity link here]

1. Bitler, Marianne, Hilary Hoynes, and Elira Kuka. "Do in-work tax credits serve as a safety net?." Journal of Human Resources 52, no. 2 (2017): 319-350.

2. Hoynes, Hilary W., and Ankur J. Patel. "Effective policy for reducing poverty and inequality? The Earned Income Tax Credit and the distribution of income." Journal of Human Resources 53, no. 4 (2018): 859-890.

3. Jones, Maggie R. "the eitc over the great recession: who benefited?." National Tax Journal 70, no. 4 (2017): 709-736.           

        ii. Activity 2: Does minimum wage reduce employment? [activity link here]

1. Jardim, Ekaterina, Mark C. Long, Robert Plotnick, Emma Van Inwegen, Jacob Vigdor, and Hilary Wething. Minimum wage increases, wages, and low-wage employment: Evidence from Seattle. No. w23532. National Bureau of Economic Research, 2017.         

2. Card, David, and Alan B. Krueger. 2000. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania: Reply." American Economic Review, 90 (5): 1397-1420.   

3. Janet Currie and Bruce Fallick, (1996), The Minimum Wage and the Employment of Youth Evidence from the NLSY, Journal of Human Resources, 31, (2), 404-428        

iii. Activity 3: Do people actually adjust labor supply in response to taxes or is it just misreporting? [activity link here]

1. Mortenson, Jacob A., and Andrew Whitten. "Bunching to maximize tax credits: Evidence from kinks in the US Tax Schedule." American economic journal: Economic policy 12, no. 3 (2020): 402-32. 

2. Chetty, Raj, John N. Friedman, and Emmanuel Saez. "Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings." American Economic Review 103, no. 7 (2013): 2683-2721.          

3. Eissa, Nada, and Hilary Williamson Hoynes. "Taxes and the labor market participation of married couples: the earned income tax credit." Journal of public Economics 88, no. 9-10 (2004): 1931-1958.

 

Online Appendix For

Collins, LaPorchia A., Patrick Button, Augustine Denteh, Benjamin Harrell, Elliott Isaac, Mónica I. García-Pérez, and Engy Ziedan. 2021. “Can a Jigsaw Literature Review Activity Help Students Engage with Economic Journal Articles?”