Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/bwu/eiiwdp/disbei281.html
   My bibliography  Save this paper

The Economic Impact of Trump: Conclusions from an Impact Evaluation Analysis

Author

Listed:
  • Kaan Celebi

    (Europäisches Institut für Internationale Wirtschaftsbeziehungen (EIIW))

  • Paul J.J. Welfens

    (Europäisches Institut für Internationale Wirtschaftsbeziehungen (EIIW))

Abstract
The Trump Administration's economic policy represents a variety of government interventions designed to stimulate higher output growth as well as higher employment. However, the policy mix adopted in President Trump's economic policy was rather unusual since expansionary fiscal policy - including tax rate reductions - were combined with an aggressive trade policy; the latter concerned mainly China, but even OECD partner countries were affected and this - in an interdependency analysis - raises questions about negative repercussion effects on US economic performance. Here, in a statistical and empirical analysis, the Panel Data Approach - combined with LASSO methodology - is used to generate a synthetical counterfactual for the US economic performance so that one can evaluate what kind of impact Trump's economic policy can be observed on GDP, unemployment and trade, where Newey-West HAC variance-covariance estimators are used for inference analysis. New findings on the extent to which Trump's economic policy really raised the US economic performance indicators - in various fields - beyond "normal" economic dynamics are derived. Looking at 2017-2019, the comparison of US economic performance with that of a synthetical "twin country" (i.e. a US "doppelgänger" in the absence of Trumpian policies) is useful and suggests that the Trump Administration's performance is clearly less successful than the US President has claimed when arguing that the economic performance of the US under his leadership was exceptionally good. Trump's economic policy has undermined output growth and worsened the current account and the trade balance, respectively; gross fixed capital formation and the unemployment rate have better performed than predicted.

Suggested Citation

  • Kaan Celebi & Paul J.J. Welfens, 2020. "The Economic Impact of Trump: Conclusions from an Impact Evaluation Analysis," EIIW Discussion paper disbei281, Universitätsbibliothek Wuppertal, University Library.
  • Handle: RePEc:bwu:eiiwdp:disbei281
    as

    Download full text from publisher

    File URL: https://eiiw.wiwi.uni-wuppertal.de/fileadmin/eiiw/Daten/Publikationen/Gelbe_Reihe/disbei281.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Congressional Budget Office, 2020. "The Budget and Economic Outlook: 2020 to 2030," Reports 56020, Congressional Budget Office.
    2. Kaan Celebi, 2021. "Quo Vadis, Britain? – Implications of the Brexit process on the UK’s real economy," International Economics and Economic Policy, Springer, vol. 18(2), pages 267-307, May.
    3. Emily Blanchard & Xenia Matschke, 2015. "U.S. Multinationals and Preferential Market Access," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 839-854, October.
    4. 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.
    5. Congressional Budget Office, 2020. "An Update to the Economic Outlook: 2020 to 2030," Reports 56442, Congressional Budget Office.
    6. Li, Kathleen T. & Bell, David R., 2017. "Estimation of average treatment effects with panel data: Asymptotic theory and implementation," Journal of Econometrics, Elsevier, vol. 197(1), pages 65-75.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Paul J. J. Welfens, 2020. "Trump’s Trade Policy, BREXIT, Corona Dynamics, EU Crisis and Declining Multilateralism," International Economics and Economic Policy, Springer, vol. 17(3), pages 563-634, July.
    9. 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.
    10. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    11. Ali Alichi & Rodrigo Mariscal & Daniela Muhaj, 2017. "Hollowing Out: The Channels of Income Polarization in the United States," IMF Working Papers 2017/244, International Monetary Fund.
    12. Lucas Bretschger & Elise Grieg & Paul J. J. Welfens & Tian Xiong, 2020. "COVID-19 infections and fatalities developments: empirical evidence for OECD countries and newly industrialized economies," International Economics and Economic Policy, Springer, vol. 17(4), pages 801-847, October.
    13. Robert Tibshirani, 2011. "Regression shrinkage and selection via the lasso: a retrospective," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(3), pages 273-282, June.
    14. Edward N. Wolff, 2017. "Household Wealth Trends in the United States, 1962 to 2016: Has Middle Class Wealth Recovered?," NBER Working Papers 24085, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Werner Roeger & Paul J. J. Welfens, 2022. "The macroeconomic effects of import tariffs in a model with multinational firms and foreign direct investment," International Economics and Economic Policy, Springer, vol. 19(2), pages 245-266, May.

    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.
    1. Kaan Celebi, 2021. "Quo Vadis, Britain? – Implications of the Brexit process on the UK’s real economy," International Economics and Economic Policy, Springer, vol. 18(2), pages 267-307, May.
    2. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    3. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    4. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    5. Carlos Viana de Carvalho & Ricardo Masini & Marcelo Cunha Medeiros, 2016. "The perils of Counterfactual Analysis with Integrated Processes," Textos para discussão 654, Department of Economics PUC-Rio (Brazil).
    6. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    7. Shih-Chih Chen & Jianing Hou & De Xiao, 2018. "“One Belt, One Road” Initiative to Stimulate Trade in China: A Counter-Factual Analysis," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    8. Zhentao Shi & Jingyi Huang, 2019. "Forward-Selected Panel Data Approach for Program Evaluation," Papers 1908.05894, arXiv.org, revised Apr 2021.
    9. Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024. "Confidence intervals of treatment effects in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 240(1).
    10. Sayoni Roychowdhury & Indrila Ganguly & Abhik Ghosh, 2021. "Robust Estimation of Average Treatment Effects from Panel Data," Papers 2112.13228, arXiv.org, revised Dec 2022.
    11. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    12. Paul J. J. Welfens, 2020. "Trumps Wirtschaftspolitik und der Corona-Schock - Perspektiven für die USA [Trumps Economic Policy and the Corona Shock - Perspectives for the USA]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(11), pages 848-855, November.
    13. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    14. Dario Laudati & M. Hashem Pesaran, 2023. "Identifying the effects of sanctions on the Iranian economy using newspaper coverage," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 271-294, April.
    15. Chirok Han, 2020. "Exact Trend Control in Estimating Treatment Effects Using Panel Data with Heterogenous Trends," Papers 2012.08988, arXiv.org.
    16. Du, Zaichao & Pei, Pei, 2021. "A simple and robust counterfactual impact evaluation," Economics Letters, Elsevier, vol. 207(C).
    17. Nadine McCloud, 2022. "Does domestic investment respond to inflation targeting? A synthetic control investigation," International Economics, CEPII research center, issue 169, pages 98-134.
    18. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2022. "Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(538), pages 574-590, April.
    19. Pengyue Wu & Wenjing Xu & Jing Ma, 2024. "Policy Evolution and Effect Evaluation of Zhejiang Manufacturing Industry Based on Text Data," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2895-2932, March.
    20. Long, Wei, 2019. "How does oversight affect police? Evidence from the police misconduct reform," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 94-118.

    More about this item

    Keywords

    Trump; economic policy uncertainty; counterfactual; Panel Data Approach; LASSO;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:bwu:eiiwdp:disbei281. 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: Frank Hoffmann (email available below). General contact details of provider: http://elpub.bib.uni-wuppertal.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.