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  "Title": "Dynamic Common Correlated Effects Estimation for Panel Data",
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  "Description": "Estimates heterogeneous coefficient models for large\npanels with cross-sectional dependence. Implements the Mean\nGroup (MG) estimator of Pesaran and Smith (1995)\n<doi:10.1016/0304-4076(94)01644-F>, the Common Correlated\nEffects (CCE) and Dynamic CCE (DCCE) estimators of Pesaran\n(2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and\nPesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>, the\nregularized CCE of Juodis (2022), the Augmented Mean Group\n(AMG) of Eberhardt and Teal (2010), the Interactive Fixed\nEffects (IFE) estimator of Bai (2009) <doi:10.3982/ECTA6135>,\nand long-run estimators including Cross-Sectionally augmented\nDistributed Lag (CS-DL), Cross-Sectionally augmented\nAutoregressive Distributed Lag (CS-ARDL), and Pooled Mean Group\n(PMG) (Chudik et al. 2016; Shin et al. 1999). Also provides\nrolling-window estimation, high-dimensional fixed effect\nabsorption, spatial CCE via user-supplied weight matrices, and\nstructural break tests (Chow and sup-Wald) following Andrews\n(1993), Bai and Perron (1998), and Ditzen, Karavias and\nWesterlund (2024). Supplies a comprehensive cross-sectional\ndependence (CD) test suite including the Pesaran (2015) CD test\n<doi:10.1080/07474938.2014.956623>, the Juodis and Reese (2022)\nrandomized weighted CD (CDw) test, the Baltagi et al. (2012)\nbias-adjusted weighted CD (CDw+) test, the Fan et al. (2015)\nPower Enhancement Approach (PEA) test, and the Pesaran and Xie\n(2021) bias-corrected CD (CD*) test. Further diagnostics\ninclude the Pesaran (2007) Cross-sectionally Augmented IPS\n(CIPS) panel unit root test <doi:10.1002/jae.951>, the\nWesterlund (2007) panel cointegration tests, the Dumitrescu and\nHurlin (2012) panel Granger causality test, the Im-Pesaran-Shin\n(IPS) and Levin-Lin-Chu (LLC) panel unit root tests, the\nPedroni (2004) and Kao (1999) residual cointegration tests, the\nSwamy (1970) and Pesaran and Yamagata (2008) slope homogeneity\ntests, a Hausman-type test for MG versus pooled, the exponent\nof cross-sectional dependence from Bailey et al. (2016)\n<doi:10.1002/jae.2490>, information criteria for\nCross-Sectional Average (CSA) selection, the rank condition\nclassifier, impulse response functions, cross-section and wild\nbootstrap inference, and 'broom'-compatible methods.",
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      "source": "dcce-introduction.Rmd",
      "filename": "dcce-introduction.html",
      "title": "Introduction to the dcce Package: DCCE Estimation for Panel Data",
      "author": "Mustapha Wasseja",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The Problem: Cross-Sectional Dependence",
        "What is cross-sectional dependence?",
        "Consequences of ignoring CSD",
        "Testing for CSD: the pcd_test() function",
        "The Model: Heterogeneous Panels with Common Factors",
        "The general DGP",
        "The CCE approach",
        "Dynamic extension (DCCE)",
        "Estimators",
        "Mean Group (MG)",
        "CCE Mean Group (CCE-MG)",
        "Dynamic CCE (DCCE)",
        "Verify that DCCE removes CSD",
        "Regularized CCE (rCCE)",
        "Long-Run Estimators: CS-DL, CS-ARDL, and PMG",
        "CS-DL (Cross-Sectionally Augmented Distributed Lag)",
        "CS-ARDL (Cross-Sectionally Augmented ARDL)",
        "PMG (Pooled Mean Group)",
        "Comparing All Estimators",
        "The CD Test Suite",
        "Bootstrap Inference",
        "Worked Example: Ditzen (2018) Growth Regression",
        "Step 1: Detect CSD in naive residuals",
        "Step 2: Mean Group (no CSD correction)",
        "Step 3: Dynamic CCE with 3 CSA lags (Ditzen 2018 Example 7.3)",
        "Step 4: Summary table",
        "Step 5: Unit-level heterogeneity",
        "Auxiliary Diagnostics",
        "Exponent of cross-sectional dependence",
        "Information criterion for CSA lag selection",
        "Rank condition",
        "Panel unit root test: Pesaran CIPS",
        "Slope heterogeneity: Swamy and Pesaran-Yamagata",
        "Hausman test: MG vs pooled",
        "broom compatibility",
        "Confidence intervals",
        "Visualising heterogeneity",
        "Additional Estimators (v0.2.0+)",
        "Augmented Mean Group (AMG)",
        "Interactive Fixed Effects (IFE, Bai 2009)",
        "Pooled CCE (CCEP)",
        "Additional Diagnostics (v0.3.0+)",
        "Panel Granger causality",
        "IPS and LLC panel unit root tests",
        "Pedroni cointegration test",
        "Structural break test",
        "Impulse Response Functions (v0.4.0)",
        "The dcce_workflow() Pipeline",
        "Quick-Start Guide",
        "References"
      ],
      "created": "2026-05-05 20:36:34",
      "modified": "2026-05-05 20:36:34",
      "commits": 1
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