The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.
Mostly Harmless Econometrics: An Empiricist's Companion
Abstract
The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications
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“Variance-based approaches build on a counterfactual understanding of causation - often developed as the potential outcomes framework (Woodward, 2003; Rubin, 2005; Angrist and Pischke, 2009).”
From Multi-Method Research in the Social Sciences: A Review of Recent Frameworks and a Way Forward (2020) · cites this paper as Angrist and Pischke, 2009
In the citing paper
“Put another way, with a 'within-school' analysis, the failure to account for stable characteristics mathematically cannot bias the estimate (Angrist & Pischke, 2009).”
From Fostering Belonging, Transforming Schools: The Impact of Restorative Practices (2023) · cites this paper as Angrist & Pischke, 2009
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“The benefit of a within-school approach is that it accounts for all time-invariant endogeneity.”
From Fostering Belonging, Transforming Schools: The Impact of Restorative Practices (2023) · cites this paper as Angrist & Pischke, 2009
In the citing paper
“The coefficients for the pre-treatment periods are statistically insignificant, indicating that the parallel trends assumption holds (Angrist and Pischke 2009).”
From AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden (2025) · cites this paper as Angrist and Pischke 2009
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“The inclusion of PSA-specific monthly time trends enables an assessment of whether the findings hold after taking into account that each PSA is implementing cameras at different time points and may have diverging trends (Angrist & Pischke, 2009).”
From Police reform in public housing contexts: Body‐worn cameras, surveillance, and harm reduction in New York City Housing Authority Developments (2024) · cites this paper as Angrist & Pischke, 2009
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“We recognize, of course, that quasi-experimental methods such as instrumental variables and regression discontinuity designs allow for causal conclusions to be drawn from observational snapshots when investigators make strong, explicit assumptions and articulate a credible identification strategy 27-30 .”
From Quantifying the prevalence and impact of overreaching causal claims in social science (2026) · cites this paper as [28]
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“Strictly speaking, observational data in the form of statistical covariation of causes and outcomes across many cases does not enable causal inferences to be made unless we assume that the data have the character of a natural experiment that enables us to claim that our population is split (either temporally or spatially) into a treatment and control group in which everything else is constant (Ang”
From Multi-Method Research in the Social Sciences: A Review of Recent Frameworks and a Way Forward (2020) · cites this paper as Angrist and Pischke, 2009
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“we tested a differences-in-differences approach26”
From Firearm and Nonfirearm Violence After Operation Peacemaker Fellowship in Richmond, California, 1996–2016 (2019) · cites this paper as [26]
Citations
Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
(1963) · Medical Entomology and Zoology · Cited by 15,085
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
Large Sample Properties of Generalized Method of Moments Estimators
Hansen, L. P. (1982) · Econometrica · doi:10.2307/1912775 · Cited by 13,467
(2002) · Cited by 13,211
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
The Colonial Origins of Comparative Development: An Empirical Investigation: Reply
Acemoğlu, D., Johnson, S., & Robinson, J. A. (2012) · American Economic Review · doi:10.1257/aer.102.6.3077 · Cited by 6,050
Cited by
Sorted by citations
Items 801–900 of 1,052
Borghesi, S., Franco, C., & Marin, G. (2020) · The Scandinavian Journal of Economics · doi:10.1111/sjoe.12323 · Cited by 86
The Impact of AIDS Treatment on Savings and Human Capital Investment in Malawi
Baranov, V., & Kohler, H. (2018) · American Economic Journal Applied Economics · doi:10.1257/app.20150369 · Cited by 74
Votsis, A., & Perrels, A. (2015) · The Journal of Real Estate Finance and Economics · doi:10.1007/s11146-015-9530-3 · Cited by 81
Genovese, F., Schneider, G., & Wassmann, P. (2016) · Comparative Political Studies · doi:10.1177/0010414015626444 · Cited by 74
Querubín, P., & Snyder, J. M. (2013) · Quarterly Journal of Political Science · doi:10.1561/100.00012104 · Cited by 72
Clean or dirty energy: evidence of corruption in the renewable energy sector
Gennaioli, C., & Tavoni, M. (2016) · Public Choice · doi:10.1007/s11127-016-0322-y · Cited by 74
The effects of highway tolls on private business activity—results from a natural experiment
Audretsch, D. B., Dohse, D., & dos Santos, J. P. (2020) · Journal of Economic Geography · doi:10.1093/jeg/lbaa003 · Cited by 74
Law, finance and innovation: the dark side of shareholder protection
Belloc, F. (2013) · Cambridge Journal of Economics · doi:10.1093/cje/bes068 · Cited by 74
Tabloid Media Campaigns and Public Opinion: Quasi-Experimental Evidence on Euroscepticism in England
Foos, F., & Bischof, D. (2021) · American Political Science Review · doi:10.1017/s000305542100085x · Cited by 74
Li, N., Shevlin, T. J., & Zhang, W. (2021) · Contemporary Accounting Research · doi:10.1111/1911-3846.12726 · Cited by 74
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Fowler, A. (2015) · Political Science Research and Methods · doi:10.1017/psrm.2015.18 · Cited by 77
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Köhler, U., Class, F., & Sawert, T. (2023) · European Sociological Review · doi:10.1093/esr/jcac078 · Cited by 78
Taylor, E. (2014) · Journal of Public Economics · doi:10.1016/j.jpubeco.2014.06.002 · Cited by 74
Government expropriation and Chinese-style firm diversification
Du, J., Lu, Y., & Tao, Z. (2014) · Journal of Comparative Economics · doi:10.1016/j.jce.2014.07.003 · Cited by 74
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Baiocchi, M., Small, D. S., Yang, L., Polsky, D. E., & Groeneveld, P. W. (2012) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-012-0091-0 · Cited by 74
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Conyon, M. J., He, L., & Zhou, X. (2014) · Journal of Business Finance & Accounting · doi:10.1111/jbfa.12110 · Cited by 74
Returns to Foreign Language Skills in a Developing Country: The Case of Turkey
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Mares, D. M., & Blackburn, E. (2019) · Journal of Sports Economics · doi:10.1177/1527002518822702 · Cited by 74
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Rossi, P. E. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2343916 · Cited by 73
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Lucardi, A. (2017) · British Journal of Political Science · doi:10.1017/s0007123416000740 · Cited by 72
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Phayal, A., & Prins, B. (2019) · International Peacekeeping · doi:10.1080/13533312.2019.1660166 · Cited by 72
Słoczyński, T. (2020) · The Review of Economics and Statistics · doi:10.1162/rest_a_00953 · Cited by 72
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Abdi, M., & Aulakh, P. S. (2014) · Journal of International Business Studies · doi:10.1057/s41267-018-0146-8 · Cited by 85
Deshpande, A. (2021) · Economia Politica · doi:10.1007/s40888-021-00235-7 · Cited by 72
Burgess, S. (2013) · Statistics in Medicine · doi:10.1002/sim.5871 · Cited by 77
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Horner, E. M. (2012) · Journal of Happiness Studies · doi:10.1007/s10902-012-9399-2 · Cited by 72
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Gaertner, M. N., Kim, J., DesJardins, S. L., & McClarty, K. L. (2013) · Research in Higher Education · doi:10.1007/s11162-013-9322-7 · Cited by 72
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de Poel, E. V., Flores, G., Ir, P., O’Donnell, O., & van Doorslaer, E. K. A. (2014) · Bulletin of the World Health Organization · doi:10.2471/blt.13.129122 · Cited by 71
Haas, D. A., Zhang, X., Kaplan, R. S., & Song, Z. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.0480 · Cited by 71
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Metadata
- Authors
- Angrist, J. D., & Pischke, J.-S.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2009-12-31
- OpenAlex
- W2577227262
- Semantic Scholar
- a432377e8c4e782ff764701f50f84dca3c10663b
- Cited by
- 9,467
- References
- 173
- Citations by year
- 2026: 1243 · 2025: 1060 · 2024: 736 · 2023: 670 · 2022: 615 · 2021: 607 · 2020: 577 · 2019: 542 · 2018: 553 · 2017: 457 · 2016: 455 · 2015: 459 · 2014: 432 · 2013: 363 · 2012: 277
- FWCI
- 38.43
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Princeton University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Keywords
- applied econometrics, linear regression, instrumental variables, natural experiment, difference-in-differences, regression discontinuity design, quantile regression, standard errors, causal inference, econometric methodology
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