Economics 350, Spring 2022: PRIVATE Some Suggested Reading

 

 

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The Roy Model and the Generalized Roy Model Assumed as Background

• The Roy Model and its generalizations are basic tools of applied economics and econometrics. I will draw on and reinforce your knowledge of it in this course. Economics 312 and other courses teach this model. It helps you interpret the statistical estimates reported in many applied papers estimate in terms of well-posed economic models instead of ill-defined “effects.” For background and review, see, for example:
  • Heckman, James J. 2010. “Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy.” Journal of Economic Literature, 48(2):356-98.
  • Heckman, James J., and Edward J. Vytlacil. (2007). “Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation.” In Handbook of Econometrics, edited by James J. Heckman and Edward E. Leamer, 4779-4874. Elsevier.

  The following short documents should explain key ideas with which students should familiarize themselves.

  1. Extract: Notes on Roy Models and Generalized Roy
  2. Roy Models of Policy Evaluation
  3. The Normal Generalized Roy Model
  4. Notes on Identification of the Roy Model and the Generalized Roy Model
  5. The Roy Model and the Generalized Roy Model
  6. Some Generalized Roy Math

Week 1: Readings on Inequality Compiled by Thomas Coleman

• Slides: Three Narratives on Income Inequality: Importance of Good Data Analysis, Methodology, and Theory, Coleman (2022)
• Auten, Gerald. 2021. “Recent Research on Income Distribution: An Overview of the Field.” Capitalism and Society 15 (1).
• Auten, Gerald, Geoffrey Gee, and Nicholas Turner. 2013. “New Perspectives on Income Mobility and Inequality.” National Tax Journal 66 (4): 893-912.
• Auten, Gerald, and David Splinter. 2019a. “Top 1 Percent Income Shares: Comparing Estimates Using Tax Data.” AEA Papers and Proceedings, 109 (May): 307-11.
• Auten, Gerald, and David Splinter. 2019b. “Income Inequality in the United States: Using Tax Data to Measure Long-Term Trends.”Unpublished manuscript, Office of Tax Analysis, U.S. Treasury Department.
• Bivens, Josh, and Lawrence Mishel. 2015. “Understanding the Historic Divergence Between Productivity and a Typical Worker’s Pay: Why It Matters and Why It’s Real.” EPI Briefing Paper No. 406.
• Bivens, Josh, Lawrence Mishel, and John Schmitt. (2018). “It’s Not Just Monopoly and Monopsony.” Economic Policy Institute. Report. 145564.
• Bricker, Jesse, Alice Henriques, Jacob Krimmel, and John Sabelhaus. 2016a. “Measuring Income and Wealth at the Top Using Administrative and Survey Data.” Brookings Papers on Economic Activity Spring 2016 (March): 261-331.
• Bricker, Jesse, Alice Henriques, Jacob Krimmel, and John Sabelhaus. 2016b. “Measuring Income and Wealth at the Top Using Administrative and Survey Data – Blog.” Brookings (blog). March 10, 2016.
• Burkhauser, Richard V, Kevin Corinth, James Elwell, and Jeff Larrimore. 2019. “Evaluating the Success of President Johnson’s War on Poverty: Revisiting the Historical Record Using a Full-Income Poverty Measure.” Working Paper 26532. National Bureau of Economic Research.
• Burkhauser, Richard V., Shuaizhang Feng, Stephen P. Jenkins, and Jeff Larrimore. 2012. “Recent Trends in Top Income Shares in the United States: Reconciling Estimates from March CPS and IRS Tax Return Data.” The Review of Economics and Statistics, 94 (2): 371-88..
• Burkhauser, Richard V., Jeff Larrimore, and Kosali I. Simon. 2012. “A ‘Second Opinion’ on the Economic Health of the American Middle Class.” National Tax Journal, 65 (1): 7-32.
• Elwell, James, Kevin Corinth, and Richard V Burkhauser. 2019. “Income Growth and Its Distribution from Eisenhower to Obama: The Growing Importance of In-Kind Transfers (1959-2016).” Working Paper 26439. National Bureau of Economic Research.
• Fixler, Dennis, Marina Gindelsky, and David Johnson. 2020a. “Distributing Personal Income: Trends Over Time.” National Bureau of Economic Research Working Paper No. 26996.
• Fixler, Dennis, Marina Gindelsky, and David Johnson. 2020b. “Measuring Inequality in the National Accounts.” WP2020-3. BEA Working Paper Series. Bureau of Economic Analysis.
• Fixler, Dennis, Marina Gindelsky, and David Johnson. 2021. “The Feasibility of a Quarterly Distribution of Personal Income.” WP2021-8. BEA Working Paper Series. Bureau of Economic Analysis.
• Goldin, Claudia, and Lawrence F. Katz. 2007. “The Race between Education and Technology: The Evolution of U.S. Educational Wage Differentials, 1890 to 2005.” Working Paper 12984. National Bureau of Economic Research.
• Goldin, Claudia, and Lawrence F. Katz. 2010. The Race between Education and Technology. 2/28/10 edition. Cambridge, Mass.: Belknap Press.
• Guvenen, Fatih, and Greg Kaplan. 2017. “Top Income Inequality in the 21st Century: Some Cautionary Notes.” Working Paper 23321. National Bureau of Economic Research.
• Guvenen, Fatih, Greg Kaplan, Jae Song, and Justin Weidner. (2021). “Lifetime Earnings in the United States over Six Decades.” Unpublished manuscript, University of Minnesota, Department of Economics.
• Hoffmann, Florian, David S. Lee, and Thomas Lemieux. 2020. “Growing Income Inequality in the United States and Other Advanced Economies.” Journal of Economic Perspectives 34 (4): 52-78.
• Horwitz, Steven. 2015. “Inequality, Mobility, and Being Poor in America.” Social Philosophy and Policy 31 (2): 70-91.
• Larrimore, Jeff. 2014. “Accounting for United States Household Income Inequality Trends: The Changing Importance of Household Structure and Male and Female Labor Earnings Inequality.” Review of Income and Wealth, 60 (4): 683-701.
• Larrimore, Jeff, Richard V. Burkhauser, and Philip Armour. 2015. “Accounting for Income Changes Over the Great Recession Relative to Previous Recessions: The Impact of Taxes and Transfers.” National Tax Journal 68 (2): 281-318.
• Larrimore, Jeff, Richard V. Burkhauser, Gerald Auten, and Philip Armour. (2021). “Recent Trends in US Income Distributions in Tax Record Data Using More Comprehensive Measures of Income Including Real Accrued Capital Gains.” Journal of Political Economy, 129(5):1319-1360.
• Murphy, Kevin M., and Robert H. Topel. 2016a. “Human Capital Investment, Inequality and Economic Growth.” Working Paper 21841. National Bureau of Economic Research.
• Murphy, Kevin M., and Robert H. Topel. 2016b. “Human Capital Investment, Inequality, and Economic Growth.” Journal of Labor Economics 34 (S2): S99-127.
• Piketty, Thomas, and Emmanuel Saez. 2003. “Income Inequality in the United States, 1913-1998.” The Quarterly Journal of Economics, 118 (1): 1-41.
• Piketty, Thomas, Emmanuel Saez, and Gabriel Zucman. (2017). “Distributional National Accounts: Methods and Estimates for the United States.” The Quarterly Journal of Economics, 133(2):553-609.
• Piketty, Thomas, Emmanuel Saez, and Gabriel Zucman. 2019. “Simplified Distributional National Accounts.” AEA Papers and Proceedings, 109 (May): 289-95.
• Rose, Stephen. 2018. “How Different Studies Measure Income Inequality.” Urban Institute. December 3, 2018.
• Saez, Emmanuel. 2016. “Striking It Richer: The Evolution of Top Incomes in the United States (Updated with 2015 Preliminary Estimates).” Unpublished manuscript, University of California, Berkeley, Department of Economics.
• Smith, Matthew, Owen M. Zidar, and Eric Zwick. (2021). “Top Wealth in America: New Estimates and Implications for Taxing the Rich.” National Bureau of Economic Research Working Paper Series, No. 29374.
• Smith, Matthew, Danny Yagan, Owen M Zidar, and Eric Zwick. 2019a. “Capitalists in the Twenty-First Century.” Working Paper 25442. National Bureau of Economic Research.
• Smith, Matthew, Danny Yagan, Owen Zidar, and Eric Zwick. 2019b. “Capitalists in the Twenty-First Century.” The Quarterly Journal of Economics 134 (4): 1675-1745.
• Tinbergen, Jan. 1975. Income Distribution: Analysis and Policies. Amsterdam; New York: North-Holland Pub. Co.

Weeks 1 and 2: Income Inequality and Social Mobility; Trends, Explanations and Controversies

Readings

• Elwell, James, Kevin Corinth, and Richard V. Burkhauser. (2019). “Income Growth and its Distribution from Eisenhower to Obama: The Growing Importance of In-Kind Transfers (1959-2016).” In United States Trends in Income, Wealth, Consumption, and Well-Being, edited by Diana Furchtgott-Roth, 90–124. Oxford: Oxford University Press.
• (P)McLanahan, Sara, and Wade Jacobsen. (2015). “Diverging Destinies Revisited.” In Families in an Era of Increasing Inequality: Diverging Destinies, edited by Paul R. Amato, Alan Booth, Susan M. McHale and Jennifer Van Hook, 3-23. Springer International Publishing.
  • Diverging Destinies Revisited, McLanahan and Jacobsen (2015)
• Winship, Scott. 2018. “Economic Mobility in America a State of the Art Primer,” Archbridge Institute. Economic and Social Mobility Research.
  • Part 1: Economic Mobility in America a State of the Art Primer Part 1: Contemporary Levels of Mobility
    • Part 1: Contemporary Levels of Mobility, Winship (2021)
  • Part 2: Economic Mobility in America a State of the Art Primer Part 2: The United States in Comparative Perspective
    • Part 2: The United States in Comparative Literature, Winship (2021)
  • Part 3: Economic Mobility in America a State of the Art Primer Part 3: Trends in the United States
    • Part 3: Trends in the United States, Winship (2021)
• Corinth, Kevin, Bruce D. Meyer, Matthew Stadnicki, and Derek Wu. (2021). “The Anti-Poverty, Targeting, and Labor Supply Effects of the Proposed Child Tax Credit Expansion.” National Bureau of Economic Research Working Paper Series, No. 29366.
• Corinth, Kevin, and Bruce D. Meyer. 2021. “The Child Tax Credit, Labor Supply, and Poverty.” The University of Chicago Harris School of Public Policy, Comprehensive Income Dataset Project. CID Research Note. 1.
• Jäntti, Markus and Stephen P. Jenkins. (2015). “Income Mobility,” in Handbook of Income Distribution, Volume 2, Chapter 10. A. B. Atkinson and F. Bourguignon, eds. Amsterdam: Elsevier. pp. 807-935.
  • Income Mobility, Jäntti and Jenkins (2013)
• (P)Joint Economic Committee. 2019. “Measuring Income Concentration: A Guide for the Confused.” United States Congress. Last accessed March 3, 2022.
  • Measuring Income Concentration: A Guide for the Confused, Joint Economic Committee (2019)
• Berman, Yonatan and Milanovic, Branko. (2020). “Homoploutia: Top Labor and Capital Incomes in the United States, 1950—2020,” Stone Center on Socio-Economic Inequality Working Paper No. 28.
  • Homoploutia: Top Labor and Capital Incomes in the United States, 1950-2020 by Berman and Milanovic (2020)
• Reeves, Richard V. and Eleanor Krause. (2018). “Raj Chetty in 14 charts: Big findings on opportunity and mobility we should all know,” Brookings Institution Social Mobility Memos, Thursday, January 11, 2018.
  • Raj Chetty in 14 Charts: Big Findings on Opportunity and Mobility We Should All Know, Reeves and Krause (2018)
• Nybom, Martin, and Jan Stuhler. (2016). “Interpreting Trends in Intergenerational Mobility.” Journal of Political Economy, Revision requested.
• Burkhauser, Richard V., and Jeff Larrimore. (2014). “Median Income and Income Inequality: From 2000 and Beyond.” In Diversity and Disparities: America Enters a New Century, edited by John Logan, 105-138. New York, NY: Russell Sage Foundation.
  • Median Income and Income Inequality: From 2000 and Beyond by Burkhauser and Larrimore (2014)
• Dahl, Gordon B., Andreas Ravndal Kostøl, and Magne Mogstad. (2014). “Family Welfare Cultures.” The Quarterly Journal of Economics, 129(4):1711-1752.
• Dahl, Gordon B., and Anne C. Gielen. (2021). “Intergenerational Spillovers in Disability Insurance.” American Economic Journal: Applied Economics, 13(2):116-50.
• Bertrand, Marianne, Erzo F. P. Luttmer, and Sendhil Mullainathan. (2000). “Network Effects and Welfare Cultures.” The Quarterly Journal of Economics, 115(3):1019-1055.
• (P)Fitzgerald, John, and Robert Moffitt. 2022. “The Supplemental Expenditure Poverty Measure: A New Method of Measuring PovertyLinks to an external site..” Brookings Papers on Economic Activity BPEA Conference, Washington, DC, March 24-25, 2022.
  • Comments on Fitzgerald and Moffitt, Meyer
• Chiappori, Pierre Andres, Costa-Dias, Monica and Costas Meghir. 2021. “The Measuring of Assortativeness in Marriage: A Comment.”
  • Changes in Assortative Matching: Theory and Evidence for the US by Chiappori et al. (2021)
• Taber, Christopher, and Rune Vejlin. (2020). “Estimation of a Roy/Search/Compensating Differential Model of the Labor Market.” Econometrica, 88(3):1031-1069.
  • Estimation of a Roy/Search/Compensating Differential Model of the Labor Market, Taber and Vejlin (2020)

• Geloso, Vincent J, Phillip Magness, John Moore, and Philip Schlosser. (2022). “How pronounced is the U-curve? Revisiting income inequality in the United States, 1917-1960.” Forthcoming, The Economic Journal.
• Heckman, James J. and Jin Zhou. (2022). “Measuring Knowledge,” Under review, Review of Economic Studies.
  • Measuring Knowledge
• Additional Slides
  • Work and Welfare Dependence
  • Role of Skills and Skill Prices in Explaining Inequality
  • Inequality in Health
  • Mortality Inequality in the United States and Europe, Janet Currie, Princeton University and NBER: Hannes Schwandt, Northwestern University and NBER
  • Social Mobility: Geography and Demography
  • Changes in Assortative Matching: Theory and Evidence for the US
  • The Rate of Return to Schooling: The Mincer Equation and Beyond
  • Rate of Return Continuation Values and Option Values in a Simple Dynamic Model, Eisenhauer, Heckman and Mosso (2015)
  • Two Interpretations of the Mincer Equation: Learning-by-doing vs. On-the-job Training by Heckman, Lochner, and Cossa (2003)
  • Evidence on Learning-by-doing vs. On-the-job Training: Using variation induced by the EITC to test between models of skill formation, Heckman, Lochner and Cossa (2003)
  • Notes on “A Theory of Job Shopping”, by Johnson
  • The Career Decisions of Young Men, Keane and Wolpin (1997)
  • Credit Constraints and Education: Models and Analysis

Week 3: Schooling and On-the-Job Learning

• Readings
  • (P)Heckman, James J.; Lochner, Lance J. and Todd, Petra E. (2006). “Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond.” in Handbook of the Economics of Education, E. A. Hanushek, and F. Welch, eds. Amsterdam: North-Holland. pp. 307-458.
    • The Rate of Return to Schooling: The Mincer Equation and Beyond
    • Age, Period, and Cohort Effects (Extract from The Mincer Equation and the Rate of Return to Schooling)
  • (P)Rubinstein, Yona and Yoram Weiss. (2006). “Post Schooling Wage Growth: Investment, Search and Learning,” In: E. Hanushek and F. Welch, (eds.), Handbook of the Economics of Education, Volume 1, Chapter 1. Amsterdam: Elsevier. pp. 1-67.
    • Post Schooling Wage Growth: Investment, Search and Learning Part I
    • Post Schooling Wage Growth: Models of Wage Growth Part II
    • Post Schooling Wage Growth: Evidence on Models Part III
  • Eisenhauer, Philipp, James J. Heckman, and Stefano Mosso. (2015). “Estimation of Dynamic Discrete Choice Models by Maximum Likelihood and the Simulated Method of Moments,” International Economic Review, 56(2): 331-357.
    • Rate of Return Continuation Values and Option Values in a Simple Dynamic Model, Eisenhauer, Heckman and Mosso (2015)
  • (P)Cossa, Ricardo, James J. Heckman, and Lance Lochner. (2003). “Learning-by-Doing versus On-the-Job Training: Using Variation Induced by the EITC to Distinguish between Models of Skill Formation.” In Designing Inclusion: Tools to Raise Low-End Pay and Employment in Private Enterprise, edited by Edmund S. Phelps, 74-130. New York, NY: Cambridge University Press.
    • Two Interpretations of the Mincer Equation: Learning-by-doing vs. On-the-job Training by Heckman, Lochner, and Cossa (2003)
    • Evidence on Learning-by-doing vs. On-the-job Training: Using variation induced by the EITC to test between models of skill formation  by Heckman, Lochner, and Cossa (2003)
  • Keane, Michael and Kenneth Wolpin. (1997). “The Career Decisions of Young Men,” Journal of Political Economy, 105(3):473-522.
    • The Career Decisions of Young Men, Keane and Wolpin (1997)
  • Johnson, William R. (1978). “A Theory of Job Shopping,” Quarterly Journal of Economics, 92( 2): 261-278.
    • Notes on “A Theory of Job Shopping”, by Johnson
  • Soto, Christopher J., Christopher M. Napolitano, Madison N. Sewell, Hee J. Yoon, and Brent W. Roberts. (2022). “An integrative framework for conceptualizing and assessing social, emotional, and behavioral skills: The BESSI.” Forthcoming, Journal of Personality and Social Psychology.
    • An Integrative Framework for Conceptualizing and Assessing Social, Emotional, and Behavioral Skills: The BESSI,  Soto, Napolitano, Sewell, Yoon, Roberts (2022)
  • Blanton, Hart, James Jaccard, Jonathan Klick, Barbara Mellers, and Gregory Mitchell. 2009. “Strong Claims and Weak Evidence: Reassessing the Predictive Validity of the IAT.” University of Pennsylvania Carey Law School. Faculty Scholarship at Penn Law. 1532.
  • Gittins Index, Pandora’s Box, and Miller’s Model of Learning and Labor Market Turnover
    • EXCERPT: Gittins Index, Pandora’s Box, and Miller’s Model of Learning and Labor Market Turnover
• Additional Slides
  • Ben Porath Notes
  • Sheshinski Specification

Week 4, Part I: Traits and Preferences

• Readings
  • (P)Borghans, Lex, Angela L. Duckworth, James J. Heckman, and Bas ter Weel. (2008). “The Economics and Psychology of Personality Traits.” Journal of Human Resources, 43(3):972-1059.
    • The Economics and Psychology of Personality Traits
      • The Economics and Psychology of Personality Traits: Extract
  • (P)Heckman, James J., Tomáš Jagelka, and Tim Kautz. (2019). “Some Contributions of Economics to the Study of Personality.” In Handbook of Personality: Theory and Research, edited by Oliver P. John and Richard W. Robins, 853-892. New York, NY: Guilford Press.
    • Some Contributions of Economics to the Study of Personality, Heckman, Jagelka, Kautz (2019)
  • Kosse, Fabian, and Michela M. Tincani. (2020). “Prosociality predicts labor market success around the world.” Nature Communications, 11(1):5298.
    • Prosociality predicts labor market success around the world by Kosse and Tincani (2020)
  • Lee, Kibeom, and Michael C. Ashton. (2018). “Psychometric Properties of the HEXACO-100.” Assessment, 25(5):543-556.
    • Psychometric Properties of the HEXACO-100
  • Zelazo, Philip David, and Stephanie M. Carlson. (2020). “The neurodevelopment of executive function skills: Implications for academic achievement gaps.” Psychology & Neuroscience, 13(3):273-298.
    • The Neurodevelopment of Executive Function Skills: Implications for Academic Achievement Gaps, Zelazo and Carlson (2020)

Week 4, Part II: Skills, Tasks and Occupations

• Additional Slides
  • Skills and Firms
  • Efficiency Units, Elementary Hedonic Models (Gorman and Lancaster) With and Without Bundling Restrictions
  • Simple Model of Human Capital Formation
•  Readings
  • Skills and Tasks in the Labor Market
  • Skill vs. Tasks: Task Approach by Zhou (2022) 
  • (P)Acemoglu, Daron and David Autor. (2011). “Skills, Tasks and Technologies: Implications for Employment and Earnings,” In: Orley Ashenfelter and David Card, (eds.), Handbook of Labor Economics, Volume 4, Part B, Chapter 12. Amsterdam: Elsevier. pp. 1043-1171. Review the theory portion.
    • Data Extract
    • Technical Extract
  • (P)Caines, Colin, Florian Hoffman, and Gueorgui Kambourov (2016). “Complex-Task Biased Technological Change and the Labor Market,” Review of Economic Dynamics, 25: 298-319.
    • Skills vs. Tasks: How Important Are Occupations?  by Caines, Hoffman, and Kambourov (2016)
  • Yamaguchi, Shintaro. (2012). “Tasks and Heterogeneous Human Capital,” Journal of Labor Economics, 30(1): 1-53.
    • Tasks and Heterogeneous Human Capital by Yamaguchi. (2012)
  • Todd, Petra E., and Weilong Zhang. (2020). “A dynamic model of personality, schooling, and occupational choice.” Quantitative Economics, 11(1):231-275.
    • A Dynamic Model of Personality, Schooling, and Occupational Choice  by Todd and Zhang
  • Lise, Jeremy, and Fabien Postel-Vinay. (2020). “Multidimensional Skills, Sorting, and Human Capital Accumulation.” American Economic Review, 110(8): 2328-2376.
    • Multidimensional Skills, Sorting, and Human Capital Accumulation by Lise and Postel-Vinay (2018)
  • Card, David. 2022. “Design‐Based Research in Empirical Microeconomics.” Princeton University. Industrial Relations Section Working Paper. 654.
    • Design‐Based Research in Empirical Microeconomics, Card 2022

Week 5: Discrimination and Disparity

• Readings
  • (P)Altonji, Joseph G., and Rebecca M. Blank. (1999). “Race and gender in the labor market.” In Handbook of Labor Economics, edited by Orley Ashenfelter and David Card. Chapter 48, pp. 3143-3259. Amsterdam: Elsevier.
    • Race and Gender in the Labor Market: Extract  by Altonji and Blank (1999)
  • Donohue, John J., and James J. Heckman. (1991). “Continuous Versus Episodic Change: The Impact of Civil Rights Policy on the Economic Status of Blacks.” Journal of Economic Literature, 29(4):1603-1643.
    • Continuous Versus Episodic Change: The Impact of Civil Rights Policy on the Economic Status of Blacks by Donohue and Heckman (1991)
  • Heckman, James J. (2011). “The American Family in Black & White: A Post-Racial Strategy for Improving Skills to Promote Equality.” Daedalus, 140(2):70-89.
    • The American Family in Black & White: A Post-Racial Strategy for Improving Skills to Promote Equality  by Heckman, 2011
  • Neal, Derek. (2006). “Why Has Black–White Skill Convergence Stopped?” In Handbook of the Economics of Education, edited by E. Hanushek and F. Welch, 511-576. Amsterdam: Elsevier.
    • Black-White Inequality by  Neal (2020)
  • (P)Bayer, Patrick, and Kerwin Kofi Charles. (2018). “Divergent Paths: A New Perspective on Earnings Differences Between Black and White Men Since 1940.” The Quarterly Journal of Economics, 133(3):1459-1501.
    • Divergent Paths: A New Perspective on Earnings Differences between Black and White Men since 1940, Bayer and Charles, 2018.
  • Charles, Kerwin Kofi, and Jonathan Guryan. (2011). “Studying Discrimination: Fundamental Challenges and Recent Progress.” Annual Review of Economics, 3(1):479-511.
    • Studying Discrimination: Fundamental Challenges and Recent Progress by Charles and Guryan (2011).
  • Guryan, Jonathan, and Kerwin Kofi Charles. (2013). “Taste-based or Statistical Discrimination: The Economics of Discrimination Returns to its Roots.” The Economic Journal, 123(572):F417-F432.
  • Maasoumi, Esfandiar, and Le Wang. (2019). “The Gender Gap between Earnings Distributions.” Journal of Political Economy, 127(5):2438-2504.
    • Extract from “The Gender Gap Between Earnings Distributions” by Maasoumi and Wang, 2019.
  • (P)Bertrand, Marianne, Dolly Chugh, and Sendhil Mullainathan. (2005). “Implicit Discrimination.” American Economic Review, 95(2):94-98.
    • Implicit Discrimination, Bertrand, Chugh and Mullainathan (2005)
  • Heckman, James J. (1998). “Detecting Discrimination.” Journal of Economic Perspectives, 12(2):101-116.
    • Detecting Discrimination, Heckman (1998)
  • Altonji, Joseph G., and Charles R. Pierret. (2001). “Employer Learning and Statistical Discrimination.” The Quarterly Journal of Economics, 116(1):313-350.
    • Employer Learning and Statistical Discrimination by Altonji and Pierret, 2001
  • Lange, Fabian. (2007). “The Speed of Employer Learning.” Journal of Labor Economics, 25(1):1-35.
    • The Speed of Employer Learning by Lange, 2007
  • (R)Thompson, Owen. (2021). “Human Capital and Black-White Earnings Gaps, 1966-2017.” National Bureau of Economic Research Working Paper Series, No. 28586.
  • (R)Neumark, David. (2018). “Experimental Research on Labor Market Discrimination.” Journal of Economic Literature, 56(3):799-866.
    • [handout requested]
  • Arnold, David, Will Dobbie, and Crystal S. Yang. (2018). “Racial Bias in Bail Decisions.” The Quarterly Journal of Economics, 133(4):1885-1932.
  • (R)Canay, Ivan A., Magne Mogstad, and Jack Mountjoy. (2020). “On the Use of Outcome Tests for Detecting Bias in Decision Making.” National Bureau of Economic Research Working Paper Series, No. 27802.
    • (R)Arnold, David, Will Dobbie, and Crystal S. Yang. (2020). “Comment on Canay, Mogstad, and Mountjoy (2020).” Unpublished manuscript, University of California, San Diego.
    • (R)Canay, Ivan A., Magne Mogstad, and Jack Mountjoy. (2020). “Reply to the Comment of Arnold, Dobbie, and Yang (2020).” Unpublished manuscript, Northwestern University, Department of Economics.
  • Fang, Hanming, and Glenn C. Loury. 2004. “Toward an Economic Theory Dysfunctional Identity.” Yale University. Cowles Foundation Discussion Papers. 1483.
  • Arcidiacono, Peter, Josh Kinsler, and Tyler Ransom. (2022). “What the Students for Fair Admissions Cases Reveal about Racial Preferences.” Unpublished manuscript, Duke University, Department of Economics.
  • Loury, Glenn C. (1977). “A Dynamic Theory of Racial Income Differences.” In Women, Minorities and Employment Discrimination, edited by Phyllis A. Wallace and Anette M. LaMond, 153-188. Lexington, MA: Lexington Books.
    • A Dynamic Theory of Racial Income Differences by Loury (1977)

Week 6: Role of Firms: Monopoly, Monopsony, and Technology; AI and Robots

• Readings
  • Koopmans, Tjalling C., and Martin Beckmann. (1957). “Assignment Problems and the Location of Economic Activities.” Econometrica, 25(1):53-76.
    • Notes on “Assignment Problems and the Location of Economic Activities” by Koopmans and Beckman (1957)
  • (P)Sattinger, Michael. (1979). “Differential Rents and the Distribution of Earnings.” Oxford Economic Papers, 31(1):60-71.
    • Notes on “Differential Rents and the Distribution of Earnings” by Sattinger (1979)
  • Robert M. Costrell, and Glenn C. Loury. (2004). “Distribution of Ability and Earnings in a Hierarchical Job Assignment Model.” Journal of Political Economy, 112(6):1322-1363.
  • Humlum, Anders. (2021). “Robot Adoption and Labor Market Dynamics,” Unpublished manuscript, University of Chicago, Department of Economics.
    • Robot Adoption and Labor Market Dynamics, Humlum (2019)
  • (R)Van Reenen, John. (2018). “Increasing Differences Between Firms: Market Power and the Macro-Economy.” CEP Discussion Paper No. 1576.
    • Increasing Differences between Firms: Market Power and the Macro-Economy by Van Reenen (2018)
  • Caines, Colin, Florian Hoffmann, and Gueorgui Kambourov (2017). “Does Automation Drive the Labor Market?,” IFDP Notes. Washington: Board of Governors of the Federal Reserve System.
  • Acemoglu, Daron, Claire Lelarge, and Pascual Restrepo. 2020. “Competing with Robots: Firm-Level Evidence from France.” AEA Papers and Proceedings, 110:383-88.
  • (B)Acemoglu, Daron, and Pascual Restrepo. (2020). “Robots and Jobs: Evidence from US Labor Markets.” Journal of Political Economy, 128(6):2188-2244.
    • Robots and Jobs: Evidence from US Labor Markets by Acemoglu and Restrepo (2020)
  • Acemoglu, Daron and Pascual Restrepo. (2021). “Tasks, Automation, and the Rise in US Wage inequality.” NBER Working Paper No. 28920.
    • Tasks, Automation, and the Rise in U.S. Wage Inequality, Acemoglu, Restrepo (2021)
  • Acemoglu, Daron, and Pascual Restrepo. 2018. “The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment.” American Economic Review, 108 (6):1488-1542.
  • Krueger, Alan B., and Orley Ashenfelter. (2018). “Theory and Evidence on Employer Collusion in the Franchise Sector.” National Bureau of Economic Research Working Paper Series, No. 24831.
    • Theory and Evidence on Employer Collusion in the Franchise Sector   by Krueger and Ashenfelter, 2018
  • Card, David. (2022). “Who Set Your Wage?” American Economic Review, 112(4):1075-90.
    • Who Set Your Wage? by Card (2022)
  • U. S. Department of the Treasury. 2022. “The State of Labor Market Competition.” U. S. Department of the Treasury. https://home.treasury.gov/system/files/136/State-of-Labor-Market-Competition-2022.pdf
  • Bivens, Josh, Lawrence Mishel, and John Schmitt. (2018). “It’s Not Just Monopoly and Monopsony.” Economic Policy Institute. Report. 145564.
    • It’s Not Just Monopoly and Monopsony How Market Power Has Affected American Wages
  • Berger, David, Kyle Herkenhoff, and Simon Mongey. (2022). “Labor Market Power.” American Economic Review, 112(4):1147-93.
    • Labor Market Power, Berger, Herkenhoff and Mongey (2022)
  • Conference on Monopsony in Labor Markets
    • (R)Ashenfelter, Orley, David Card, Henry S. Farber, and Michael R. Ransom. (2021). “Monopsony in the Labor Market New Empirical Results and New Public Policies,” NBER Working Paper No. 29522.
      • Monopsony in the Labor Market: New Empirical Results and New Public Policies by Ashenfelter, Card, Farber, Ransom (2021)
    • Azar, José, Ioana Marinescu, and Marshall Steinbaum. (2020). “Labor Market Concentration.” Forthcoming, Journal of Human Resources.
    • Bachmann, Ronald, Gökay Demir, and Hanna Frings. (2021). “Labor Market Polarization, Job Tasks and Monopsony Power.” Forthcoming, Journal of Human Resources.
    • Balasubramanian, Natarajan, Jin Woo Chang, Mariko Sakakibara, Jagadeesh Sivadasan, and Evan Starr. (2020). “Locked In? The Enforceability of Covenants Not to Compete and the Careers of High-Tech Workers.” Forthcoming, Journal of Human Resources.
    • Bassier, Ihsaan, Arindrajit Dube, and Suresh Naidu. (2021). “Monopsony in Movers: The Elasticity of Labor Supply to Firm Wage Policies.” Forthcoming, Journal of Human Resources.
    • Benmelech, Efraim, Nittai K. Bergman, and Hyunseob Kim. (2020). “Strong Employers and Weak Employees: How Does Employer Concentration Affect Wages?” Forthcoming, Journal of Human Resources.
    • Hirsch, Boris, Elke J. Jahn, Alan Manning, and Michael Oberfichtner. (2020). “The Urban Wage Premium in Imperfect Labor Markets.” Forthcoming, Journal of Human Resources.
    • Krueger, Alan B., and Orley Ashenfelter. (2021). “Theory and Evidence on Employer Collusion in the Franchise Sector.” Forthcoming, Journal of Human Resources.
    • Naidu, Suresh, and Eric A. Posner. (2021). “Labor Monopsony and the Limits of the Law.” Forthcoming, Journal of Human Resources.
    • Ransom, Tyler. (2021). “Labor Market Frictions and Moving Costs of the Employed and Unemployed.” Forthcoming, Journal of Human Resources.
    • Rinz, Kevin. (2020). “Labor Market Concentration, Earnings, and Inequality.” Forthcoming, Journal of Human Resources.
    • Webber, Douglas A. (2020). “Labor Market Competition and Employment Adjustment Over the Business Cycle.” Forthcoming, Journal of Human Resources.

Week 7: Life Cycle Earnings Dynamics

• Readings
  • Moffitt, Robert, and Sisi Zhang. (2018). “Income Volatility and the PSID: Past Research and New Results.” AEA Papers and Proceedings, 108:277-80.
    • Income Volatility and the PSID: Past Research and New Results by Moffitt and Zhang (2018)
  • Blundell, Richard. (2014). “Income Dynamics and Life‐cycle Inequality: Mechanisms and Controversies.” The Economic Journal, 124(576):289-318.
    • Income Dynamics and Life-cycle Inequality: Mechanisms And Controversies by Blundell (2014)
  • Hryshko, Dmytro. (2009). “RIP to HIP: The Data Reject Heterogenous Labor Income Profiles,” Unpublished manuscript, University of Alberta.
    • RIP to HIP: The Data Reject Heterogeneous Labor Income Profiles , Hryshko (2009)
  • (P)Meghir, Costas and Luigi Pistaferri. (2011). “Earnings, Consumption and Life Cycle Choices,” In: Orley Ashenfelter and David Card, eds., Handbook of Labor Economics, Vol. 4, Part B. Amsterdam: Elsevier. pp. 773-854.
    • Modeling the Income Process (Extract from “Earnings, Consumption and Lifecycle Choices” by Meghir and Pistaferri)
    • Earnings, Consumption and Lifecycle Choices by Meghir and Pistaferri (2011)
  • Cunha, Flávio and James J. Heckman. (2016). “Decomposing Trends in Inequality in Earnings into Forecastable and Uncertain Components,” Journal of Labor Economics, 34(S2): S31-S65.
    • Separating Heterogeneity from Uncertainty
  • Hoffmann, Florian. (2019). “HIP, RIP, and the Robustness of Empirical Earnings Processes.” Quantitative Economics, 10(3):1279-1315.
    • HIP, RIP, and the Robustness of Empirical Earnings Processes by Hoffmann (2019)
  • (R)Guvenen, Fatih, Greg Kaplan, Jae Song, and Justin Weidner. (2021). “Lifetime Earnings in the United States over Six Decades.” Unpublished manuscript, University of Minnesota, Department of Economics.
    • [handout requested]
  • (R)Guvenen, Fatih, Fatih Karahan, Serdar Ozkan, and Jae Song. (2021). “What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?” Econometrica, 89(5):2303-2339.
    • What Do Data on Millions of U.S. Workers Reveal about Lifecycle Earnings Dynamics? by Guvenen, Karahan, Ozkan and Song (2021)
  • De Nardi, Mariacristina. (2004). “Wealth Inequality and Intergenerational Links.” The Review of Economic Studies, 71(3):743-768.
    • Wealth Inequality and Intergenerational Links, De Nardi (2004) [handout from 2012]
• Additional Slides
  • Income Processes/Shocks, Market Structure, and Information, Lise

Week 8, Part I: Genetics and Family

• Readings
  • Lee, James J., Robbee Wedow, Aysu Okbay, Edward Kong, Omeed Maghzian, etal. (2018). “Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.” Nature Genetics, 50(8):1112-1121.
  • Houmark, Mikkel Aagaard, Victor Ronda, and Michael Rosholm. 2020. “The Nurture of Nature and the Nature of Nurture: How Genes and Investments Interact in the Formation of Skills.” Institute of Labor Economics. IZA Discussion Paper. DP No. 13780.
  • Sanz-de-Galdeano, Anna, and Anastasia Terskaya. 2019. “Sibling Differences in Educational Polygenic Scores: How Do Parents React?” Institute of Labor Economics. IZA DP No. 12375.
  • Ronda, Victor, Esben Agerbo, Dorthe Bleses, Preben Bo Mortensen, Anders Børglum, et al. (2022). “Family disadvantage, gender, and the returns to genetic human capital.” Forthcoming, The Scandinavian Journal of Economics.
  • Barth, Daniel, Nicholas W. Papageorge, and Kevin Thom. (2020). “Genetic Endowments and Wealth Inequality.” Journal of Political Economy, 128(4):1474-1522.
  • Papageorge, Nicholas W, and Kevin Thom. (2019). “Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study.” Journal of the European Economic Association, 18(3):1351-1399.
  • Rustichini, Aldo, William G. Iacono, James Lee, and Matt McGue. (2020). “Educational Attainment and Intergenerational Mobility: A Polygenic Score Analysis.” Unpublished manuscript, University of Minnesota, Department of Economics
  • Kohler, Hans-Peter, Jere R. Behrman, and Jason Schnittker. (2011). “Social Science Methods for Twins Data: Integrating Causality, Endowments, and Heritability.” Biodemography and Social Biology, 57(1):88-141.

Week 8, Part II: Family Influence, Investment, and Intergenerational Mobility

•  Readings
  • Bowles, Samuel and Herbert Gintis. (2002). “The Inheritance of Inequality,” Journal of Economic Perspectives 16(3): 3-30.
    • Inheritance of Inequality, Bowles and Gintis (2002)
  • (P)Cunha, Flavio and James J. Heckman (2007). “The Technology of Skill Formation,” American Economic Review, 97(2):31-47.
    • The Technology of Skill Formation, Cunha and Heckman (2007)
    • Six Facts: The Technology of Skill Formation (EXTRACT from Cunha and Heckman 2007)
  • (P)Becker, Gary S., Scott Duke Kominers, Kevin M. Murphy, and Jörg L. Spenkuch. (2018). “A Theory of Intergenerational Mobility.” Journal of Political Economy,126(S1):S7-S25.
    • A Theory of Intergenerational Mobility . Becker, Kominers, Murphy, and Spenkuch. (2018).
  • Pollak, Robert A. (2019). “How Bargaining in Marriage Drives Marriage Market Equilibrium.” Journal of Labor Economics, 37(1):297-321.
    • [handout requested]
  • Doepke, Matthias, Giuseppe Sorrenti, and Fabrizio Zilibotti. (2019). “The Economics of Parenting.” NBER Working Paper No. 25533.
    • The Economics of Parenting, Doepke, Sorrenti, and Zilibotti (2019)
  • Heckman, James J. and Stefano Mosso. (2014). “The Economics of Human Development and Social Mobility,” Annual Review of Economics, 6(1):689-733.
    • The Implications of Dynamic Complementarity for Investments across Children with Different Initial Endowments
    • Policies to Promote Social Mobility
      • Extract: Policies to Promote Social Mobility
    • The Economics of Human Development and Social Mobility
      • Extract
  • Becker, Gary S., Kevin M. Murphy, and Jörg L. Spenkuch. (2016). “The Manipulation of Children’s Preferences, Old-Age Support, and Investment in Children’s Human Capital.” Journal of Labor Economics, 34(S2):S3-S30.
    • The Manipulation of Children’s Preferences, Old-Age Support, and Investment in Children’s Human Capital, Becker, Murphy, and Spenkuch. (2016).
  • Del Boca, Daniela, Christopher J. Flinn, Ewout Verriest, and Matthew J. Wiswall. (2019). “Actors in the Child Development Process.” National Bureau of Economic Research Working Paper Series, No. 25596.
    • Actors in the Child Development Process by Del Boca, Flinn, Verriest, and Wiswall (2019)
  • Becker, Gary S., and Nigel Tomes. (1986). “Human Capital and the Rise and Fall of Families.” Journal of Labor Economics, 4(3):S1-S3
    • Extract from: Human Capital and the Rise and Fall of Families by Becker and Tomes (1986)
  • (P)Lizzeri, Alessandro and Marciano Siniscalchi. (2008). “Parental Guidance and Supervised Learning.” Quarterly Journal of Economics 123(3): 1161-1195.
    • Parental Guidance and Supervised Learning. (2008). Lizzeri and Siniscalchi.
  • Doepke, Mattias and Zilibotti, Fabrizio. (2017). “Parenting With Style: Altruism and Paternalism in Intergenerational Preference Transmission.” Econometrica, 85(5): 1331-1371.
    • [handout requested]
  • Cunha, Flávio, Irma Elo, and Jennifer Culhane. (2022). “Maternal subjective expectations about the technology of skill formation predict investments in children one year later.” In press, Journal of Econometrics.
    • Maternal Subjective Expectations about the Technology of Skill Formation Predict Investments in Children One Year Later by Cunha, Elo, and Culhane, 2022.
  • Caucutt, Elizabeth M., and Lance Lochner. (2020). “Early and Late Human Capital Investments, Borrowing Constraints, and the Family.” Journal of Political Economy, 128(3):1065-1147.
    • [handout requested]
  • Del Boca, Daniela, Christopher Flinn, and Matthew Wiswall. (2013). “Household Choices and Child Development.” The Review of Economic Studies, 81(1):137-185.
    • Household Choices and Child Development, Del Boca, Flinn, and Wiswall (2014)
  • Kim, Jun Hyung, Wolfgang Schulz, Tanja Zimmermann, and Kurt Hahlweg. (2018). “Parent–child interactions and child outcomes: Evidence from randomized intervention.” Labour Economics, 54:152-171.
    • Parent–child interactions and Child Outcomes: Evidence from Randomized Intervention, Kim, Schultz, Zimmerman, and Hahlweg, 2018.
  • Carneiro, Pedro, Lucy Kraftman, Giacomo Mason, Lucie Moore, Imran Rasul, and Molly Scott. (2021). “The Impacts of a Multifaceted Prenatal Intervention on Human Capital Accumulation in Early Life.” American Economic Review, 111(8):2506-49.
  • Akee, Randall K. Q., William E. Copeland, Gordon Keeler, Adrian Angold, and E. Jane Costello. (2010). “Parents’ Incomes and Children’s Outcomes: A Quasi-experiment Using Transfer Payments from Casino Profits.” American Economic Journal: Applied Economics, 2(1):86-115.
    • Parents’ Incomes and Children’s Outcomes… Akee, Copeland, Keeler, Angold and Costello (2010).
  • Akee, Randall, William Copeland, E. Jane Costello, and Emilia Simeonova. (2018). “How Does Household Income Affect Child Personality Traits and Behaviors?” American Economic Review, 108(3):775-827.
    • How Does Household Income Affect Child Personality Traits and Behaviors? Akee, Copeland, Costello, and Simeonova (2018)
  • Guryan, Jonathan, Jens Ludwig, Monica P. Bhatt, Philip J. Cook, Jonathan M. V. Davis, Kenneth Dodge, George Farkas, Roland G. Fryer, Jr., Susan Mayer, Harold Pollack, and Laurence Steinberg. (2021). “Not Too Late: Improving Academic Outcomes Among Adolescents.” National Bureau of Economic Research Working Paper Series, No. 28531.
    • [handout requested]
  • Keane, Michael P., and Kenneth I. Wolpin. (2010). “The Role of Labor and Marriage Markets, Preference Heterogeneity, and the Welfare System in the Life Cycle Decisions of Black, Hispanic, and White Women.” International Economic Review, 51(3):851-892.
    • The Role of Labor and Marriage Markets, Preference Heterogeneity, and the Welfare System in the Life Cycle Decisions of Black, Hispanic, and White Women, Keane and Wolpin (2010)
  • Lise, Jeremy, and Shannon Seitz. (2011). “Consumption Inequality and Intra-household Allocations.” The Review of Economic Studies, 78(1):328-355.
    • [handout requested]
  • Nybom, Martin and Jan Stuhler. (2022). “Interpreting Trends in Intergenerational Mobility,” Under review, Journal of Political Economy.
    • [handout requested]
  • Solon, Gary. (2004). “A model of intergenerational mobility variation over time and place.” In Generational Income Mobility in North America and Europe, edited by Miles Corak, 38-47. Cambridge: Cambridge University Press.

Week 8, Part III: Fertility and Labor Supply

• Readings
  • Arroyo, Cristino R., and Junsen Zhang. (1997). “Dynamic Microeconomic Models of Fertility Choice: A Survey.” Journal of Population Economics, 10(1):23-65.
    • Dynamic Microeconomic Models of Fertility Choice: A Survey, Arroyo and Zhang (1997)
  • (P)Becker, Gary S. (1992). “Fertility and the Economy.” Journal of Population Economics, 5(3):185-201.
    • Fertility and the Economy, Becker (1992)
  • Gayle, George-Levi, Limor Golan, Mehmet A. Soytas. (2015). “What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?,” Federal Reserve Bank of St. Louis Working Paper 2015-018.
    • What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital? by Gayle, Golan, and Soytas (2015)
  • Keane, Michael P., and Kenneth I. Wolpin. (2010). “The Role of Labor and Marriage Markets, Preference Heterogeneity, and the Welfare System in the Life Cycle Decisions of Black, Hispanic, and White Women.” International Economic Review, 51(3):851-892.
  • (P)Keane, Michael P. (2016). “Life-cycle Labour Supply with Human Capital: Econometric and Behavioural Implications.” The Economic Journal, 126(592):546-577.
  • Eckstein, Zvi, Michael Keane, and Osnat Lifshitz. (2019). “Career and Family Decisions: Cohorts Born 1935–1975.” Econometrica, 87(1):217-253.
    • Career and Family Decisions: Cohorts Born 1935-1975, Eckstein, Keane, and Lifshitz (2019)
  • Eckstein, Zvi, and Osnat Lifshitz. (2011). “Dynamic Female Labor Supply.” Econometrica, 79(6):1675-1726.
    • Dynamic Female Labor Supply, Eckstein and Lifshitz (2011)
  • van der Klaauw, Wilbert. (1996). “Female Labour Supply and Marital Status Decisions: A Life-Cycle Model.” The Review of Economic Studies, 63(2):199-235.
  • (P)Blundell, Richard, Monica Costa Dias, Costas Meghir, and Jonathan Shaw. (2016). “Female Labor Supply, Human Capital, and Welfare Reform.” Econometrica, 84(5):1705-1753.
    • Female Labor Supply, Human Capital, and Welfare Reform by Blundell, Costa Dias, Meghir, and Shaw (2016)
  • Blundell, Richard, Luigi Pistaferri, and Itay Saporta-Eksten. (2016). “Consumption Inequality and Family Labor Supply.” American Economic Review, 106(2):387-435.
  • Adda, Jérôme, Christian Dustmann, and Katrien Stevens. (2017). “The Career Costs of Children.” Journal of Political Economy, 125(2):293-337.
  • Albanesi, Stefania, and María José Prados. (2022). “Slowing Women’s Labor Force Participation: The Role of Income Inequality.” National Bureau of Economic Research Working Paper Series, No. 29675.
  • Gihleb, Rania, and Kevin Lang. (2016). “Educational Homogamy and Assortative Mating Have Not Increased.” National Bureau of Economic Research Working Paper Series, No. 22927.
    • [handout requested]
  • Fang, Hanming, and Michael Keane. 2004. “Assessing the Impact of Welfare Reform on Single Mothers.” The Brookings Institution. Brookings Papers on Economic Activity, No. 1
  • Moffitt, Robert. (2006). “Welfare work Requirements with Paternalistic Government Preferences.” The Economic Journal, 116(515):F441-F458.
  • Moffitt, Robert A., ed. 2016. Economics of means- tested transfer programs in the United States. Vol. 1. Chicago, IL: The University of Chicago Press.
  • Ziliak, James P. 2013. “Why are so Many Americans on Food Stamps? The Role of Economy, Policy, and Demographics.” University of Kentucky, Center for Poverty Research.
  • Discussion Paper Series. DP 2013-01.
  • Deshpande, Manasi. (2016). “Does Welfare Inhibit Success? The Long-Term Effects of Removing Low-Income Youth from the Disability Rolls.” American Economic Review, 106(11):3300-3330.

Week 9: Neighborhoods and Peers

• Readings
  • Benabou, Roland. (1996). “Equity and Efficiency in Human Capital Investment: The Local Connection,” Review of Economic Studies, 62:237-264.
    • [handout requested]
  • Durlauf, Steven. (1996). “Neighborhood Feedback, Endogenous Stratification, and Income Inequality,” in W. Barnett, G. Gandolfo, and C. Hillinger, Dynamic Disequilibrium Modeling. Cambridge, UK: Cambridge University Press. pp. 505-534
    • Neighborhood Feedback, Endogenous Stratification, and Income Inequality, Durlauf (1996)
  • (P)Chetty, Raj, and Nathaniel Hendren. (2018). “The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects.” Quarterly Journal of Economics, 133(3):1107-1162.
  • (P)Chetty, Raj, and Nathaniel Hendren. (2018). “The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates.” Quarterly Journal of Economics, 133(3):1163-1228.
  • Chetty, Raj, Nathaniel Hendren, and Lawrence F. Katz. (2016). “The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment.” American Economic Review, 106(4):855-902.
    • The Effects of Exposure to Better Neighborhoods on Children’s Long-Term Outcomes, Chetty, Hendren, Katz [handout from 2018]
  • (P)Chetty, Raj, Nathaniel Hendren, Maggie R Jones, and Sonya R Porter. (2020). “Race and Economic Opportunity in the United States: an Intergenerational Perspective.” The Quarterly Journal of Economics, 135(2):711-783.
    • [handout requested]
  • Eshaghnia, S. M. Sadegh. (2022). “Is Zip Code Destiny? Re-visiting Long-Run Neighborhood Effects.” Unpublished manuscript, The University of Chicago, Center for the Economics of Human Development.
    • Is Zip Code Destiny? Re-visiting Long-run Neighborhood Effects, Eshaghnia (2022)

Week 10: The Welfare State

•  Readings
  • Heckman, James, and Rasmus Landersø. (2021). “Lessons for Americans from Denmark about Inequality and Social Mobility.” In Press, Labour Economics.
    • American Inequality and Social Mobility Viewed Through a Danish Prism, Washington University, February 21, 2021
    • Some Evidence on Social Mobility in the U.S. Economy Extract from: American Inequality and Social Mobility Viewed Through a Danish Prism
    • The Danish Welfare State: Social mobility, Inequality, and Challenges
    • Understanding the Heterogeneity of Intergenerational Mobility across Neighborhoods: A Case Study of Denmark
  • Lindbeck, Assar, Sten Nyberg, and Jörgen W. Weibull. (1999). “Social Norms and Economic Incentives in the Welfare State.” The Quarterly Journal of Economics, 114(1):1-35.
    • [handout requested]
  • Lindbeck, Assar. (1995). “Welfare State Disincentives with Endogenous Habits and Norms.” The Scandinavian Journal of Economics, 97(4):477-494.
  • Lindbeck, Assar. (1995). “Hazardous Welfare-State Dynamics.” The American Economic Review, 85(2):9-15.
  • Bondar, Mariia, and Fuchs-Schündeln. (2022). “Good Bye Lenin Revisited: East-West Preferences Three Decades After Reunification.” Unpublished manuscript. Goethe University Frankfurt.
    • [handout requested]
• Guest Lecture, Robert Moffitt
  • Bastian, Jacob. (2022). “Investigating the Effects of the 2021 Child Tax Credit Expansion on Poverty and Employment.” Rutgers University, Department of Economics
  • Chan, Marc K., and Robert Moffitt. (2018). “Welfare Reform and the Labor Market.” Annual Review of Economics, 10(1):347-381.
  • Hoynes, Hilary, and Jesse Rothstein. (2019). “Universal Basic Income in the United States and Advanced Countries.” Annual Review of Economics, 11(1):929-958.
  • Kosar, Gizem, and Robert A. Moffitt. (2017). “Trends in Cumulative Marginal Tax Rates Facing Low-Income Families, 1997–2007.” Tax Policy and the Economy, 31(1):43-70.
  • Moffitt, Robert. (2022). “Transfers, Tax and Tax Credits at the Bottom: Draft Deaton Review Commentary.” Johns Hopkins University, Department of Economics
  • Moffitt, Robert A. (2015). “The Deserving Poor, the Family, and the U.S. Welfare System.” Demography, 52(3):729-749.
  • National Academies of Sciences, Engineering, and Medicine. (2019). “Consequences of Child Poverty.” In A Roadmap to Reducing Child Poverty, edited by Greg Duncan and Suzanne Le Menestrel, 67-96. Washington, DC: The National Academies Press.

• Guest Lecture, Bruce Meyer
  • Akerlof, George A. (1978). “The Economics of “Tagging” as Applied to the Optimal Income Tax, Welfare Programs, and Manpower Planning.” The American Economic Review, 68(1):8-19.
  • Corinth, Kevin, Bruce D. Meyer, Matthew Stadnicki, and Derek Wu. 2022. “The Anti-Poverty, Targeting, and Labor Supply Effects of Replacing a Child Tax Credit with a Child Allowance.” NBER Working Papers. 29366.
  • Corinth, Kevin, Bruce D. Meyer, and Derek Wu. 2022. “The Change in Poverity from 1995 to 2016 among Single Parent Families.” NBER Working Papers. 29870.
  • Han, Jeehoon, Bruce D. Meyer, and James X. Sullivan. (2021). “The Consumption, Income, and Well-Being of Single mother–headed Families 25 Years After Welfare Reform.” National Tax Journal, 74(3):791-824.
  • Keane, Michael, and Robert Moffitt. (1998). “A Structural Model of Multiple Welfare Program Participation and Labor Supply.” International Economic Review, 39(3):553-589.
  • Meyer, Bruce D., and Dan T. Rosenbaum. (2001). “Welfare, the Earned Income Tax Credit, and the Labor Supply of Single Mothers.” The Quarterly Journal of Economics, 116(3):1063-1114.
  • Meyer, Bruce D., and James X. Sullivan. (2008). “Changes in the Consumption, Income, and Well-Being of Single Mother Headed Families.” American Economic Review, 98(5):2221-41.
  • Meyer, Bruce D., Derek Wu, Victoria Mooers, and Carla Medalia. (2021). “The Use and Misuse of Income Data and Extreme Poverty in the United States.” Journal of Labor Economics, 39(S1):S5-S58.