Undergraduate Econometrics Instruction: Through Our Classes, Darkly
Author
Abstract
Suggested Citation
Note: DOI: 10.1257/jep.31.2.125
Download full text from publisher
Other versions of this item:
- Joshua D. Angrist & Jörn-Steffen Pischke, 2017. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly," NBER Working Papers 23144, National Bureau of Economic Research, Inc.
- Angrist, Joshua & Pischke, Jörn-Steffen, 2017. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly," IZA Discussion Papers 10535, Institute of Labor Economics (IZA).
- Angrist, Joshua D. & Pischke, Jorn-Steffen, 2017. "Undergraduate econometrics instruction: through our classes, darkly," LSE Research Online Documents on Economics 80663, London School of Economics and Political Science, LSE Library.
References listed on IDEAS
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010.
"The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics,"
Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
- Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
- Angrist, Joshua & Pischke, Jörn-Steffen, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," IZA Discussion Papers 4800, Institute of Labor Economics (IZA).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," RatSWD Working Papers 142, German Data Forum (RatSWD).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is taking the Con out of Econometrics," CEP Discussion Papers dp0976, Centre for Economic Performance, LSE.
- Angrist, Joshua D. & Pischke, Jörn-Steffen, 2010. "The credibility revolution in empirical economics: how better research design is taking the con out of econometrics," LSE Research Online Documents on Economics 48898, London School of Economics and Political Science, LSE Library.
- Matthew T. Panhans & John D. Singleton, 2015. "The Empirical Economist's Toolkit: From Models to Methods," Center for the History of Political Economy Working Paper Series 2015-3, Center for the History of Political Economy.
- Angrist, Joshua D. & Krueger, Alan B., 1999.
"Empirical strategies in labor economics,"
Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366,
Elsevier.
- Alan B. Krueger & Joshua D. Angrist, 1998. "Empirical Strategies in Labor Economics," Working Papers 780, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working papers 98-7, Massachusetts Institute of Technology (MIT), Department of Economics.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
- Peter Arcidiacono & Esteban M. Aucejo & V. Joseph Hotz, 2016.
"University Differences in the Graduation of Minorities in STEM Fields: Evidence from California,"
American Economic Review, American Economic Association, vol. 106(3), pages 525-562, March.
- Peter Arcidiacono & Esteban M. Aucejo & V. Joseph Hotz, 2013. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," NBER Working Papers 18799, National Bureau of Economic Research, Inc.
- Arcidiacono, Peter & Aucejo, Esteban M. & Hotz, V. Joseph, 2016. "University differences in the graduation minorities in STEM fields: evidence from California," LSE Research Online Documents on Economics 64178, London School of Economics and Political Science, LSE Library.
- Peter Arcidiacono & Esteban Aucejo & V. Joseph Hotz, 2013. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," CEP Discussion Papers dp1223, Centre for Economic Performance, LSE.
- Arcidiacono, Peter & Aucejo, Esteban & Hotz, V. Joseph, 2013. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," IZA Discussion Papers 7227, Institute of Labor Economics (IZA).
- Arcidiacono, Peter & Aucejo, Esteban & Hotz, V. Joseph, 2013. "University differences in the graduation of minorities in STEM fields: evidence from California," LSE Research Online Documents on Economics 51564, London School of Economics and Political Science, LSE Library.
- J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
- Daniel S. Hamermesh, 2013.
"Six Decades of Top Economics Publishing: Who and How?,"
Journal of Economic Literature, American Economic Association, vol. 51(1), pages 162-172, March.
- Daniel S. Hamermesh, 2012. "Six Decades of Top Economics Publishing: Who and How?," NBER Working Papers 18635, National Bureau of Economic Research, Inc.
- Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
- Stacy Berg Dale & Alan B. Krueger, 2002.
"Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
- Stacy Berg Dale & Alan B. Krueger, "undated". "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," Mathematica Policy Research Reports 4bafb729911e486baf90b34c9, Mathematica Policy Research.
- Stacy Berg Dale & Alan B. Krueger, 1998. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," Working Papers 788, Princeton University, Department of Economics, Industrial Relations Section..
- Stacy Berg Dale & Alan B. Krueger, 1999. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," NBER Working Papers 7322, National Bureau of Economic Research, Inc.
- Joshua D. Angrist, 1998.
"Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants,"
Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
- Joshua D. Angrist, 1995. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," NBER Working Papers 5192, National Bureau of Economic Research, Inc.
- Fuchs-Schündeln, N. & Hassan, T.A., 2016.
"Natural Experiments in Macroeconomics,"
Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 923-1012,
Elsevier.
- Nicola Fuchs-Schuendeln & Tarek Alexander Hassan, 2015. "Natural Experiments in Macroeconomics," NBER Working Papers 21228, National Bureau of Economic Research, Inc.
- Fuchs-Schündeln, Nicola & Hassan, Tarek, 2015. "Natural Experiments in Macroeconomics," CEPR Discussion Papers 10628, C.E.P.R. Discussion Papers.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
- William E. Becker & William H. Greene, 2001. "Teaching Statistics and Econometrics to Undergraduates," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 169-182, Fall.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004.
"How Much Should We Trust Differences-In-Differences Estimates?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc.
- Dougherty, Christopher, 2016. "Introduction to Econometrics," OUP Catalogue, Oxford University Press, edition 5, number 9780199676828.
- Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
- Chamberlain, Gary, 1982.
"Multivariate regression models for panel data,"
Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- Gary Chamberlain, 1980. "Multivariate Refression Models for Paned Data," NBER Technical Working Papers 0008, National Bureau of Economic Research, Inc.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-170, February.
- Yitzhaki, Shlomo, 1996. "On Using Linear Regressions in Welfare Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 478-486, October.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2015. "The path from cause to effect: mastering 'metrics," CentrePiece - The magazine for economic performance 442, Centre for Economic Performance, LSE.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Joshua D. Angrist & Jorn-Steffen Pischke, 2019. "Undergraduate econometrics instruction: through our classes, darkly (in Russian)," Quantile, Quantile, issue 14, pages 1-20, June.
- Sloczynski, Tymon, 2018.
"A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands,"
IZA Discussion Papers
11866, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010.
"The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics,"
Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
- Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
- Angrist, Joshua & Pischke, Jörn-Steffen, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," IZA Discussion Papers 4800, Institute of Labor Economics (IZA).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," RatSWD Working Papers 142, German Data Forum (RatSWD).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is taking the Con out of Econometrics," CEP Discussion Papers dp0976, Centre for Economic Performance, LSE.
- Angrist, Joshua D. & Pischke, Jörn-Steffen, 2010. "The credibility revolution in empirical economics: how better research design is taking the con out of econometrics," LSE Research Online Documents on Economics 48898, London School of Economics and Political Science, LSE Library.
- Hansen, Bruce E. & Lee, Seojeong, 2019.
"Asymptotic theory for clustered samples,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
- Bruce E. Hansen & Seojeong Jay Lee, 2017. "Asymptotic Theory for Clustered Samples," Discussion Papers 2017-18, School of Economics, The University of New South Wales.
- Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
- Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
- Josh Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2020. "Inside Job or Deep Impact? Extramural Citations and the Influence of Economic Scholarship," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 3-52, March.
- Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
- Rok Spruk & Mitja Kovac, 2019. "Transaction costs and economic growth under common legal system: State‐level evidence from Mexico," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 240-292, July.
- Rok Spruk & Mitja Kovac, 2018. "Inefficient Growth," Review of Economics and Institutions, Università di Perugia, vol. 9(2).
- Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003.
"Instrumental variables and GMM: Estimation and testing,"
Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
- Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2002. "Instrumental variables and GMM: Estimation and testing," United Kingdom Stata Users' Group Meetings 2003 02, Stata Users Group.
- Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2002. "Instrumental variables and GMM: Estimation and testing," North American Stata Users' Group Meetings 2003 05, Stata Users Group.
- Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2002. "Instrumental variables and GMM: Estimation and testing," Boston College Working Papers in Economics 545, Boston College Department of Economics, revised 14 Feb 2003.
- Jonah B. Gelbach & Doug Miller, 2009. "Robust Inference with Multi-way Clustering," Working Papers 226, University of California, Davis, Department of Economics.
- aus dem Moore, Jan Peter & Spitz-Oener, Alexandra, 2012. "Bye bye, GI: The impact of the US military drawdown on local German labor markets," SFB 649 Discussion Papers 2012-024, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Maldonado, Stanislao, 2014.
"The Non-Monotonic Political Effects of Resource Booms,"
MPRA Paper
85649, University Library of Munich, Germany, revised 18 Dec 2017.
- Stanislao Maldonado, 2018. "The Non-Monotonic Political Effects of Resource Booms," Working Papers 121, Peruvian Economic Association.
- Marianna Schaubert, 2023. "Do Alimony Regulations Matter Inside Marriage? Evidence from the 2008 Reform of the German Maintenance Law," Journal of Labor Research, Springer, vol. 44(1), pages 145-178, June.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
- Jonah B. Gelbach & Doug Miller & A. Colin Cameron, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 128, University of California, Davis, Department of Economics.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007. "Bootstrap-Based Improvements for Inference with Clustered Errors," NBER Technical Working Papers 0344, National Bureau of Economic Research, Inc.
- MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023.
"Cluster-robust inference: A guide to empirical practice,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
- Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
- James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
- P. Dorian Owen, 2017.
"Evaluating Ingenious Instruments for Fundamental Determinants of Long-Run Economic Growth and Development,"
Econometrics, MDPI, vol. 5(3), pages 1-33, September.
- P. Dorian Owen, 2015. "Evaluating ingenious instruments for fundamental determinants of long-run economic growth and development," Working Papers 1508, University of Otago, Department of Economics, revised Dec 2015.
- Mitja Kovac & Salvini Datta & Rok Spruk, 2021. "Pharmaceutical Product Liability, Litigation Regimes, and the Propensity to Patent: An Empirical Firm-Level Investigation," SAGE Open, , vol. 11(2), pages 21582440211, April.
- Miroslav Verbič & Rok Spruk, 2019. "Political economy of pension reforms: an empirical investigation," European Journal of Law and Economics, Springer, vol. 47(2), pages 171-232, April.
- Mikael Lindahl & Alan B. Krueger, 2001.
"Education for Growth: Why and for Whom?,"
Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
- Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," Working Papers 808, Princeton University, Department of Economics, Industrial Relations Section..
- Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," NBER Working Papers 7591, National Bureau of Economic Research, Inc.
More about this item
JEL classification:
- A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:jecper:v:31:y:2017:i:2:p:125-44. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.