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xtdcce2: Estimating dynamic common correlated effects in Stata

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  • Jan Ditzen

    (Spatial Economics and Econometrics Centre, Heriot-Watt University)

Abstract

This presentation introduces a new Stata command, xtdcce, to estimate a dynamic common correlated effects model with heterogeneous coefficients. The estimation procedure mainly follows Chudik and Pesaran (2015); in addition, the common correlated effects estimator (Pesaran 2006) as well as the mean group (Pesaran and Smith 1995) and the pooled mean group estimator (Shin, Pearson, and Smith 1999) are supported. Coefficients are allowed to be heterogeneous or homogeneous. In addition, instrumental variable regressions and unbalanced panels are supported. The cross-sectional dependence test (CD test) is automatically calculated and presented in the estimation output. Examples for empirical applications of all estimation methods mentioned above are given.

Suggested Citation

  • Jan Ditzen, 2016. "xtdcce2: Estimating dynamic common correlated effects in Stata," United Kingdom Stata Users' Group Meetings 2016 08, Stata Users Group.
  • Handle: RePEc:boc:usug16:08
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    Cited by:

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    2. Koomin Kim, 2022. "Using dynamic common correlated effects approach to analyze the role of sin taxes in short‐ and long‐term fiscal surplus across US states," Public Budgeting & Finance, Wiley Blackwell, vol. 42(2), pages 255-278, June.
    3. Donatella Baiardi & Paola Profeta & Riccardo Puglisi & Simona Scabrosetti, 2019. "Tax policy and economic growth: does it really matter?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 282-316, April.
    4. Kvedaras, Virmantas & Garcimartín, Carlos & Astudillo, Jhonatan, 2020. "Balance-of-Payments constrained growth dynamics: An empirical investigation," Economic Modelling, Elsevier, vol. 89(C), pages 232-244.
    5. Amèvi Rocard Kouwoaye, 2019. "Trade tax reforms and poverty in developing countries: Why do some countries benefit and others lose?," WIDER Working Paper Series wp-2019-66, World Institute for Development Economic Research (UNU-WIDER).
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    7. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    8. Ines Kersan-Škabić, 2016. "Is Internal Devaluation Policy In The Eu Effective?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(211), pages 29-46, October -.
    9. Munir Ahmad & Heng Li & Muhammad Khalid Anser & Abdul Rehman & Zeeshan Fareed & Qingyou Yan & Gul Jabeen, 2021. "Are the intensity of energy use, land agglomeration, CO2 emissions, and economic progress dynamically interlinked across development levels?," Energy & Environment, , vol. 32(4), pages 690-721, June.
    10. Aistov, Andrey & Nikolaeva, Tatiana, 2019. "Tourism-led growth hypothesis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 5-24.
    11. Ariff, Mohamed & Zarei, Alireza & Bhatti, M. Ishaq, 2021. "Monitoring exchange rate instability in 12 selected Islamic economies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    12. Zeeshan Arshad & Margarita Robaina & Anabela Botelho, 2020. "Renewable and Non-renewable Energy, Economic Growth and Natural Resources Impact on Environmental Quality: Empirical Evidence from South and Southeast Asian Countries with CS-ARDL Modeling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 368-383.
    13. Kyle McNabb, 2016. "Tax structures and economic growth: New evidence from the Government Revenue Dataset," WIDER Working Paper Series 148, World Institute for Development Economic Research (UNU-WIDER).
    14. Diallo, Ibrahima Amadou, 2017. "The role of human assets in economic growth: theory and empirics," MPRA Paper 80402, University Library of Munich, Germany.
    15. Kyle McNabb, 2016. "Tax structures and economic growth: New evidence from the Government Revenue Dataset," WIDER Working Paper Series wp-2016-148, World Institute for Development Economic Research (UNU-WIDER).
    16. Gildas Dohba Dinga & Dobdinga Cletus Fonchamnyo & Giyoh Gideon Nginyu & Chuo Joshua Njuh, 2020. "Short and Long Run Dynamic Common Correlation Effects of External Capital Inflow on Economic Growth in SSA Countries," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(4), pages 218-226, December.
    17. Elio Shijaku & Martin Larraza-Kintana & Ainhoa Urtasun-Alonso, 2020. "Network centrality and organizational aspirations: A behavioral interaction in the context of international strategic alliances," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(5), pages 813-828, July.
    18. Vasudeva N. R. Murthy & Natalya Ketenci, 2020. "Capital mobility in Latin American and Caribbean countries: new evidence from dynamic common correlated effects panel data modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    19. McWalter, Thomas A. & Ritchken, Peter H., 2022. "Black economic empowerment regulation and risk incentives," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

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