Causal Inference for Spatial Treatments
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- Maya Rossin-Slater & Molly Schnell & Hannes Schwandt & Sam Trejo & Lindsey Uniat, 2020.
"Local exposure to school shootings and youth antidepressant use,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(38), pages 23484-23489, September.
- Rossin-Slater, Maya & Schnell, Molly & Schwandt, Hannes & Trejo, Sam & Uniat, Lindsey, 2019. "Local Exposure to School Shootings and Youth Antidepressant Use," IZA Discussion Papers 12837, Institute of Labor Economics (IZA).
- Maya Rossin-Slater & Molly Schnell & Hannes Schwandt & Sam Trejo & Lindsey Uniat, 2019. "Local Exposure to School Shootings and Youth Antidepressant Use," NBER Working Papers 26563, National Bureau of Economic Research, Inc.
- Schwandt, Hannes & Rossin-Slater, Maya & Schnell, Molly & Trejo, Sam & Uniat, Lindsey, 2019. "Local Exposure to School Shootings and Youth Antidepressant Use," CEPR Discussion Papers 14238, C.E.P.R. Discussion Papers.
- Matthew Gentzkow & Bryan Kelly & Matt Taddy, 2019. "Text as Data," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 535-574, September.
- Rebecca Diamond & Tim McQuade, 2019.
"Who Wants Affordable Housing in Their Backyard? An Equilibrium Analysis of Low-Income Property Development,"
Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1063-1117.
- Diamond, Rebecca & McQuade, Tim, 2015. "Who Wants Affordable Housing in Their Backyard? An Equilibrium Analysis of Low Income Property Development," Research Papers 3329, Stanford University, Graduate School of Business.
- Rebecca Diamond & Timothy McQuade, 2016. "Who Wants Affordable Housing in their Backyard? An Equilibrium Analysis of Low Income Property Development," NBER Working Papers 22204, National Bureau of Economic Research, Inc.
- Raj Chetty & Nathaniel Hendren, 2018.
"The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
- Raj Chetty & Nathaniel Hendren, 2016. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," NBER Working Papers 23002, National Bureau of Economic Research, Inc.
- Aliprantis, Dionissi & Hartley, Daniel, 2015. "Blowing it up and knocking it down: The local and city-wide effects of demolishing high concentration public housing on crime," Journal of Urban Economics, Elsevier, vol. 88(C), pages 67-81.
- Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019.
"Pre-event Trends in the Panel Event-Study Design,"
American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
- Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2018. "Pre-event Trends in the Panel Event-study Design," NBER Working Papers 24565, National Bureau of Economic Research, Inc.
- Simon Freyaldenhoven & Christian Hansen & Jesse Shapiro, 2019. "Pre-event Trends in the Panel Event-study Design," Working Papers 19-27, Federal Reserve Bank of Philadelphia.
- Tetsuya Kaji & Elena Manresa & Guillaume Pouliot, 2020. "An adversarial approach to structural estimation," CeMMAP working papers CWP39/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Aaron Chalfin & Benjamin Hansen & Jason Lerner & Lucie Parker, 2019. "Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City," NBER Working Papers 25798, National Bureau of Economic Research, Inc.
- Susan Athey & Dean Eckles & Guido W. Imbens, 2018.
"Exact p-Values for Network Interference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
- Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3351, Stanford University, Graduate School of Business.
- Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3287, Stanford University, Graduate School of Business.
- Susan Athey & Dean Eckles & Guido W. Imbens, 2015. "Exact P-values for Network Interference," NBER Working Papers 21313, National Bureau of Economic Research, Inc.
- Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
- Esther Duflo, 2001.
"Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment,"
American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
- Esther Duflo, 2000. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," NBER Working Papers 7860, National Bureau of Economic Research, Inc.
- Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018.
"Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life,"
Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
- Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life," NBER Working Papers 21778, National Bureau of Economic Research, Inc.
- Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life," Harvard Business School Working Papers 16-065, Harvard Business School.
- Glaeser, Edward L. & Kominers, Scott Duke & Luca, Michael & Naik, Nikhil, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures for Urban Life," Working Paper Series 15-075, Harvard University, John F. Kennedy School of Government.
- David H. Autor & David Dorn & Gordon H. Hanson, 2013.
"The China Syndrome: Local Labor Market Effects of Import Competition in the United States,"
American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
- David H. Autor & David Dorn & Gordon H. Hanson, 2012. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," NBER Working Papers 18054, National Bureau of Economic Research, Inc.
- Autor, David & Dorn, David & Hanson, Gordon H., 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," IZA Discussion Papers 7150, Institute of Labor Economics (IZA).
- James Feyrer & Erin T. Mansur & Bruce Sacerdote, 2017.
"Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution,"
American Economic Review, American Economic Association, vol. 107(4), pages 1313-1334, April.
- James Feyrer & Erin T. Mansur & Bruce Sacerdote, 2015. "Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution," NBER Working Papers 21624, National Bureau of Economic Research, Inc.
- Guido M. Kuersteiner & Ingmar R. Prucha, 2020.
"Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity,"
Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
- Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
- Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-965, July.
- Luc Anselin & Sergio J. Rey, 2010. "Perspectives on Spatial Data Analysis," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 1-20, Springer.
- Delgado, Michael S. & Florax, Raymond J.G.M., 2015.
"Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction,"
Economics Letters, Elsevier, vol. 137(C), pages 123-126.
- Michael S. Delgado & Raymond J.G.M. Florax, 2015. "Difference-in-Differences Techniques for Spatial Data: Local Autocorrelation and Spatial Interaction," Tinbergen Institute Discussion Papers 15-091/VIII, Tinbergen Institute.
- Michael Greenstone & Enrico Moretti, 2003.
"Bidding for Industrial Plants: Does Winning a 'Million Dollar Plant' Increase Welfare?,"
NBER Working Papers
9844, National Bureau of Economic Research, Inc.
- Moretti, Enrico, 2004. "Bidding for Industrial Plants: Does Winning a 'Million Dollar Plant' Increase Welfare?," Santa Cruz Department of Economics, Working Paper Series qt5cz0h23t, Department of Economics, UC Santa Cruz.
- Gupta, Arpit & Van Nieuwerburgh, Stijn & Kontokosta, Constantine, 2022.
"Take the Q train: Value capture of public infrastructure projects,"
Journal of Urban Economics, Elsevier, vol. 129(C).
- Arpit Gupta & Stijn Van Nieuwerburgh & Constantine Kontokosta, 2020. "Take the Q Train: Value Capture of Public Infrastructure Projects," NBER Working Papers 26789, National Bureau of Economic Research, Inc.
- Michael Greenstone & Richard Hornbeck & Enrico Moretti, 2010.
"Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings,"
Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 536-598, June.
- Michael Greenstone & Richard Hornbeck & Enrico Moretti, "undated". "Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings," Working Paper 17740, Harvard University OpenScholar.
- Greenstone, Michael & Hornbeck, Richard A. & Moretti, Enrico, 2010. "Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings," Scholarly Articles 11185831, Harvard University Department of Economics.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- David A Keiser & Joseph S Shapiro, 2019.
"Consequences of the Clean Water Act and the Demand for Water Quality,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 349-396.
- Keiser, David A. & Shapiro, Joseph S., 2016. "Consequences of the Clean Water Act and the Demand for Water Quality," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235437, Agricultural and Applied Economics Association.
- David A. Keiser & Joseph S. Shapiro, 2017. "Consequences of the Clean Water Act and the Demand for Water Quality," NBER Working Papers 23070, National Bureau of Economic Research, Inc.
- Joseph S. Shapiro & David A. Keiser, 2017. "Consequences of the Clean Water Act and the Demand for Water Quality," Cowles Foundation Discussion Papers 2070R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- David A. Keiser & Joseph S. Shapiro, 2017. "Consequences of the Clean Water Act and the Demand for Water Quality," Working Papers 17-07, Center for Economic Studies, U.S. Census Bureau.
- Joseph S. Shapiro & David A. Keiser, 2017. "Consequences of the Clean Water Act and the Demand for Water Quality," Cowles Foundation Discussion Papers 2070, Cowles Foundation for Research in Economics, Yale University.
- Melissa Dell & Benjamin A Olken, 2020.
"The Development Effects of the Extractive Colonial Economy: The Dutch Cultivation System in Java,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 164-203.
- Melissa Dell & Benjamin A. Olken, 2017. "The Development Effects of the Extractive Colonial Economy: The Dutch Cultivation System in Java," NBER Working Papers 24009, National Bureau of Economic Research, Inc.
- Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008.
"Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes,"
Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
- Patrick Bayer & Stephen L. Ross, 2004. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Econometric Society 2004 North American Summer Meetings 495, Econometric Society.
- Giorgio Topa & Stephen Ross & Patrick Bayer, 2005. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Working Papers 05-23, Center for Economic Studies, U.S. Census Bureau.
- Patrick Bayer & Stephen Ross & Giorgio Topa, 2005. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," NBER Working Papers 11019, National Bureau of Economic Research, Inc.
- Bayer, Patrick & Ross, Stephen L. & Topa, Giorgio, 2005. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Center Discussion Papers 28433, Yale University, Economic Growth Center.
- Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2005. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Working Papers 927, Economic Growth Center, Yale University.
- Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2004. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Working papers 2004-07, University of Connecticut, Department of Economics, revised Oct 2005.
- Bayer, Patrick & Ross, Stephen L., 2005. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Working Papers 8, Yale University, Department of Economics.
- Raj Chetty & Nathaniel Hendren, 2018.
"The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
- Raj Chetty & Nathaniel Hendren, 2016. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," NBER Working Papers 23001, National Bureau of Economic Research, Inc.
- Farrell, Max H., 2015.
"Robust inference on average treatment effects with possibly more covariates than observations,"
Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
- Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
- Maxwell Kellogg & Magne Mogstad & Guillaume Pouliot & Alexander Torgovitsky, 2020. "Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation," NBER Working Papers 26624, National Bureau of Economic Research, Inc.
- Hannah Druckenmiller & Solomon Hsiang, 2018. "Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences," NBER Working Papers 25177, National Bureau of Economic Research, Inc.
- Alexander G. James & Brock Smith, 2020.
"Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution: Comment,"
American Economic Review, American Economic Association, vol. 110(6), pages 1905-1913, June.
- Alexander James & Brock Smith, 2018. "The Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution: Comment," Working Papers 2018-02, University of Alaska Anchorage, Department of Economics.
- Donald W. K. Andrews, 2005.
"Cross-Section Regression with Common Shocks,"
Econometrica, Econometric Society, vol. 73(5), pages 1551-1585, September.
- Donald W.K. Andrews, 2003. "Cross-section Regression with Common Shocks," Cowles Foundation Discussion Papers 1428, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews, 2004. "Cross-section Regression with Common Shocks," Yale School of Management Working Papers ysm401, Yale School of Management.
- Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023.
"When Should You Adjust Standard Errors for Clustering?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
- Alberto Abadie & Susan Athey & Guido Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," Papers 1710.02926, arXiv.org, revised Sep 2022.
- Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
- Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey, 2017. "When Should You Adjust Standard Errors for Clustering?," Research Papers repec:ecl:stabus:3596, Stanford University, Graduate School of Business.
- Craig McIntosh, 2008. "Estimating Treatment Effects from Spatial Policy Experiments: An Application to Ugandan Microfinance," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 15-28, February.
- Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
- Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
- Athey, Susan & Imbens, Guido W. & Metzger, Jonas & Munro, Evan, 2024.
"Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations,"
Journal of Econometrics, Elsevier, vol. 240(2).
- Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
- Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
- Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020.
"Bartik Instruments: What, When, Why, and How,"
American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
- Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2018. "Bartik Instruments: What, When, Why, and How," NBER Working Papers 24408, National Bureau of Economic Research, Inc.
- Alberto Abadie & Guido W. Imbens, 2011.
"Bias-Corrected Matching Estimators for Average Treatment Effects,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
- Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- Tetsuya Kaji & Elena Manresa & Guillaume Pouliot, 2020. "An Adversarial Approach to Structural Estimation," Papers 2007.06169, arXiv.org, revised Oct 2022.
- Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
- A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017.
"Program Evaluation and Causal Inference With High‐Dimensional Data,"
Econometrica, Econometric Society, vol. 85, pages 233-298, January.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen, 2013. "Program Evaluation and Causal Inference with High-Dimensional Data," Papers 1311.2645, arXiv.org, revised Jan 2018.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jessica Cohen & Pascaline Dupas, 2010. "Free Distribution or Cost-Sharing? Evidence from a Randomized Malaria Prevention Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 1-45.
- Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár, 2012.
"Clustering, Spatial Correlations, and Randomization Inference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 578-591, June.
- Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesar, 2010. "Clustering, Spatial Correlations and Randomization Inference," NBER Working Papers 15760, National Bureau of Economic Research, Inc.
- Amy Finkelstein & Matthew Gentzkow & Heidi Williams, 2021.
"Place-Based Drivers of Mortality: Evidence from Migration,"
American Economic Review, American Economic Association, vol. 111(8), pages 2697-2735, August.
- Amy Finkelstein & Matthew Gentzkow & Heidi L. Williams, 2019. "Place-Based Drivers of Mortality: Evidence from Migration," NBER Working Papers 25975, National Bureau of Economic Research, Inc.
- James Feyrer & Erin Mansur & Bruce Sacerdote, 2020. "Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution: Reply," American Economic Review, American Economic Association, vol. 110(6), pages 1914-1920, June.
- Ryan Engstrom & Jonathan Hersh & David Newhouse, 2022.
"Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being,"
The World Bank Economic Review, World Bank, vol. 36(2), pages 382-412.
- Engstrom,Ryan & Hersh,Jonathan Samuel & Newhouse,David Locke & Engstrom,Ryan & Hersh,Jonathan Samuel & Newhouse,David Locke, 2017. "Poverty from space : using high-resolution satellite imagery for estimating economic well-being," Policy Research Working Paper Series 8284, The World Bank.
- Susan Athey & David Blei & Robert Donnelly & Francisco Ruiz & Tobias Schmidt, 2018.
"Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data,"
AEA Papers and Proceedings, American Economic Association, vol. 108, pages 64-67, May.
- Susan Athey & David Blei & Robert Donnelly & Francisco Ruiz & Tobias Schmidt, 2018. "Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data," Papers 1801.07826, arXiv.org.
- Sandler, Danielle H., 2017.
"Externalities of public housing: The effect of public housing demolitions on local crime,"
Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 24-35.
- Danielle H. Sandler, 2016. "Externalities of Public Housing: The Effect of Public Housing Demolitions on Local Crime," Working Papers 16-16, Center for Economic Studies, U.S. Census Bureau.
- Moulton, Brent R & Randolph, William C, 1989. "Alternative Tests of the Error Components Model," Econometrica, Econometric Society, vol. 57(3), pages 685-693, May.
- Leigh Linden & Jonah E. Rockoff, 2008. "Estimates of the Impact of Crime Risk on Property Values from Megan's Laws," American Economic Review, American Economic Association, vol. 98(3), pages 1103-1127, June.
- Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
- Amy Finkelstein & Matthew Gentzkow & Heidi Williams, 2016.
"Sources of Geographic Variation in Health Care: Evidence From PatientMigration,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1681-1726.
- Amy Finkelstein & Matthew Gentzkow & Heidi Williams, 2014. "Sources of Geographic Variation in Health Care: Evidence from Patient Migration," NBER Working Papers 20789, National Bureau of Economic Research, Inc.
- Panle Jia, 2008. "What Happens When Wal-Mart Comes to Town: An Empirical Analysis of the Discount Retailing Industry," Econometrica, Econometric Society, vol. 76(6), pages 1263-1316, November.
- Rosenbaum, Paul R., 2007. "Interference Between Units in Randomized Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 191-200, March.
- Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B., 2011. "Inference with dependent data using cluster covariance estimators," Journal of Econometrics, Elsevier, vol. 165(2), pages 137-151.
- Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
- Tetsuya Kaji & Elena Manresa & Guillaume Pouliot, 2020. "An Adversarial Approach to Structural Estimation," Working Papers 2020-144, Becker Friedman Institute for Research In Economics.
- Athey, Susan & Imbens, Guido W., 2019.
"Machine Learning Methods Economists Should Know About,"
Research Papers
3776, Stanford University, Graduate School of Business.
- Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
- Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, November.
- Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
- Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
- Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
- Borusyak, Kirill & Hull, Peter, 2020.
"Non-Random Exposure to Exogenous Shocks: Theory and Applications,"
CEPR Discussion Papers
15319, C.E.P.R. Discussion Papers.
- Kirill Borusyak & Peter Hull, 2020. "Non-Random Exposure to Exogenous Shocks: Theory and Applications," Working Papers 2020-130, Becker Friedman Institute for Research In Economics.
- Kirill Borusyak & Peter Hull, 2020. "Non-Random Exposure to Exogenous Shocks: Theory and Applications," NBER Working Papers 27845, National Bureau of Economic Research, Inc.
- Hansen, Christian B., 2007. "Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 670-694, October.
- Charles F. Manski & John V. Pepper, 2018.
"How Do Right-to-Carry Laws Affect Crime Rates? Coping with Ambiguity Using Bounded-Variation Assumptions,"
The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 232-244, May.
- Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
- Rodrigo Adão & Michal Kolesár & Eduardo Morales, 2019. "Shift-Share Designs: Theory and Inference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1949-2010.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
- Susan Athey & Guido W. Imbens & Stefan Wager, 2018.
"Approximate residual balancing: debiased inference of average treatment effects in high dimensions,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
- Susan Athey & Guido W. Imbens & Stefan Wager, 2016. "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions," Papers 1604.07125, arXiv.org, revised Jan 2018.
- Kelly, Morgan, 2019. "The Standard Errors of Persistence," CEPR Discussion Papers 13783, C.E.P.R. Discussion Papers.
- G W Basse & A Feller & P Toulis, 2019. "Randomization tests of causal effects under interference," Biometrika, Biometrika Trust, vol. 106(2), pages 487-494.
- Rodrigo Ad~ao & Michal Koles'ar & Eduardo Morales, 2018. "Shift-Share Designs: Theory and Inference," Papers 1806.07928, arXiv.org, revised Aug 2019.
- William Greene, 2009. "Discrete Choice Modeling," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 11, pages 473-556, Palgrave Macmillan.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014.
"Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States," NBER Working Papers 19843, National Bureau of Economic Research, Inc.
- Chetty, Nadarajan & Hendren, Nathaniel & Kline, Patrick & Saez, Emmanuel, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," Scholarly Articles 30750027, Harvard University Department of Economics.
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- Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
- Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
- Hudgens, Michael G. & Halloran, M. Elizabeth, 2008. "Toward Causal Inference With Interference," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 832-842, June.
- Iván Díaz Muñoz & Mark van der Laan, 2012. "Population Intervention Causal Effects Based on Stochastic Interventions," Biometrics, The International Biometric Society, vol. 68(2), pages 541-549, June.
- A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
- Morgan Kelly, 2019. "The Standard Errors of Persistence," Working Papers 201913, School of Economics, University College Dublin.
- Lahiri, S.N. & Robinson, Peter M., 2016. "Central limit theorems for long range dependent spatial linear processes," LSE Research Online Documents on Economics 65331, London School of Economics and Political Science, LSE Library.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
- Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
- Hannah Druckenmiller & Solomon Hsiang, 2018. "Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences," Papers 1810.07216, arXiv.org, revised Aug 2019.
- Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
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