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Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment?

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  • Klößner, Stefan
  • Pfeifer, Gregor

Abstract

We examine the impact of the EUR 5 billion German Cash-for-Clunkers program on vehicle registrations and respective CO2 emissions. To construct proper counterfactuals, we develop the multivariate synthetic control method using time series of economic predictors (MSCMT) and show (asymptotic) unbiasedness of the corresponding effect estimator under quite general conditions. Using cross-validation for determining an optimal specification of predictors, we do not find significant effects for CO2 emissions, while the stimulus’ impact on vehicle sales is strongly positive. Modeling different buyer subgroups, we disentangle this effect: 530,000 purchases were simply windfall gains; 550,000 were pulled forward; and 850,000 vehicles would not have been purchased in absence of the subsidy, worth EUR 17 billion.

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  • Klößner, Stefan & Pfeifer, Gregor, 2018. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment?," MPRA Paper 88175, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:88175
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    1. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    2. Pasquale Schiraldi, 2011. "Automobile replacement: a dynamic structural approach," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 266-291, June.
    3. Kavalec, Chris & Setiawan, Winardi, 1997. "An analysis of accelerated vehicle retirement programs using a discrete choice personal vehicle model," Transport Policy, Elsevier, vol. 4(2), pages 95-107, April.
    4. Omar Licandro & Antonio R. Sampayo, 2006. "The effects of replacement schemes on car sales: the Spanish case," Investigaciones Economicas, Fundación SEPI, vol. 30(2), pages 239-282, May.
    5. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    6. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    7. Atif Mian & Amir Sufi, 2012. "The Effects of Fiscal Stimulus: Evidence from the 2009 Cash for Clunkers Program," The Quarterly Journal of Economics, Oxford University Press, vol. 127(3), pages 1107-1142.
    8. Martin Becker & Stefan Klößner & Gregor Pfeifer, 2018. "Cross-Validating Synthetic Controls," Economics Bulletin, AccessEcon, vol. 38(1), pages 603-609.
    9. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    10. Matthew D. Shapiro & Christopher L. House, 2006. "Phased-In Tax Cuts and Economic Activity," American Economic Review, American Economic Association, vol. 96(5), pages 1835-1849, December.
    11. Mark Hoekstra & Steven L. Puller & Jeremy West, 2017. "Cash for Corollas: When Stimulus Reduces Spending," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 1-35, July.
    12. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    13. Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu, 2017. "An exact and robust conformal inference method for counterfactual and synthetic controls," CeMMAP working papers CWP62/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Jonathan A. Parker & Nicholas S. Souleles & David S. Johnson & Robert McClelland, 2013. "Consumer Spending and the Economic Stimulus Payments of 2008," American Economic Review, American Economic Association, vol. 103(6), pages 2530-2553, October.
    15. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, December.
    16. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    17. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    18. Stefan Klößner & Ashok Kaul & Gregor Pfeifer & Manuel Schieler, 2018. "Comparative politics and the synthetic control method revisited: a note on Abadie et al. (2015)," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-11, December.
    19. Jinjarak, Yothin & Noy, Ilan & Zheng, Huanhuan, 2013. "Capital controls in Brazil – Stemming a tide with a signal?," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2938-2952.
    20. Henrik Jacobsen Kleven & Camille Landais & Emmanuel Saez, 2013. "Taxation and International Migration of Superstars: Evidence from the European Football Market," American Economic Review, American Economic Association, vol. 103(5), pages 1892-1924, August.
    21. Amr Hosny, 2012. "Algeria’s Trade with GAFTA Countries: A Synthetic Control Approach," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 35-42, September.
    22. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    23. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    24. Adam Copeland & James Kahn, 2013. "The Production Impact Of “Cash-For-Clunkers”: Implications For Stabilization Policy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 288-303, January.
    25. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    26. Jerome Adda & Russell Cooper, 2000. "Balladurette and Juppette: A Discrete Analysis of Scrapping Subsidies," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 778-806, August.
    27. Javier Gardeazabal & Ainhoa Vega‐Bayo, 2017. "An Empirical Comparison Between the Synthetic Control Method and HSIAO et al.'s Panel Data Approach to Program Evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 983-1002, August.
    28. Grigolon, Laura & Leheyda, Nina & Verboven, Frank, 2016. "Scrapping subsidies during the financial crisis — Evidence from Europe," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 41-59.
    29. Firpo Sergio & Possebom Vitor, 2018. "Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets," Journal of Causal Inference, De Gruyter, vol. 6(2), pages 1-26, September.
    30. Li, Shanjun & Linn, Joshua & Spiller, Elisheba, 2013. "Evaluating “Cash-for-Clunkers”: Program effects on auto sales and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 175-193.
    31. Michael W. Robbins & Jessica Saunders & Beau Kilmer, 2017. "A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 109-126, January.
    32. Martin Becker & Stefan Klößner, 2017. "Estimating the economic costs of organized crime by synthetic control methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1367-1369, November.
    33. Matthew D. Shapiro & Joel Slemrod, 2003. "Consumer Response to Tax Rebates," American Economic Review, American Economic Association, vol. 93(1), pages 381-396, March.
    34. Ashok Kaul & Gregor Pfeifer & Stefan Witte, 2012. "The incidence of Cash for Clunkers: an analysis of the 2009 car scrappage scheme in Germany," ECON - Working Papers 068, Department of Economics - University of Zurich.
    35. Bauhoff, Sebastian, 2014. "The effect of school district nutrition policies on dietary intake and overweight: A synthetic control approach," Economics & Human Biology, Elsevier, vol. 12(C), pages 45-55.
    36. Ryan Sandler, 2012. "Clunkers or Junkers? Adverse Selection in a Vehicle Retirement Program," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 253-281, November.
    37. 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.
    38. Robert W. Hahn, 1995. "An Economic Analysis of Scrappage," RAND Journal of Economics, The RAND Corporation, vol. 26(2), pages 222-242, Summer.
    39. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    40. Knittel, Christopher R, 2009. "The Implied Cost of Carbon Dioxide under the Cash for Clunkers," Institute of Transportation Studies, Working Paper Series qt95b1c3t0, Institute of Transportation Studies, UC Davis.
    41. James Feyrer & Bruce Sacerdote, 2011. "Did the Stimulus Stimulate? Real Time Estimates of the Effects of the American Recovery and Reinvestment Act," NBER Working Papers 16759, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Mark Hoekstra & Steven L. Puller & Jeremy West, 2017. "Cash for Corollas: When Stimulus Reduces Spending," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 1-35, July.
    2. Lüth, Hendrik, 2021. "Reassessing Car Scrappage Schemes in Selected OECD Countries: A Synthetic Control Method Application," Working Paper 190/2021, Helmut Schmidt University, Hamburg.
    3. Gregor Pfeifer & Fabian Wahl & Martyna Marczak, 2018. "Illuminating the World Cup effect: Night lights evidence from South Africa," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 887-920, November.
    4. Ashok Kaul & Gregor Pfeifer & Stefan Witte, 2016. "The incidence of Cash for Clunkers: Evidence from the 2009 car scrappage scheme in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(6), pages 1093-1125, December.
    5. Christpher Leisinger & Felix Rösel, 2020. "Kaum mehr als ein Strohfeuer – Evaluationsstudien zu Abwrackprämien im Überblick," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 27(03), pages 25-27, June.
    6. Aderonke Osikominu & Gregor Pfeifer & Kristina Strohmaier & Gregor-Gabriel Pfeifer, 2021. "The Effects of Free Secondary School Track Choice: A Disaggregated Synthetic Control Approach," CESifo Working Paper Series 8879, CESifo.
    7. Becker, Martin & Klößner, Stefan, 2018. "Fast and reliable computation of generalized synthetic controls," Econometrics and Statistics, Elsevier, vol. 5(C), pages 1-19.
    8. Heechul Min, 2015. "Korea's Cash-for-Clunkers Program: Household-Level Evidence," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 347-363, December.

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    More about this item

    Keywords

    Generalized Synthetic Controls; Cross-Validation; Cash-for-Clunkers; CO2 Emissions;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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