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  "Description": "Maximum-likelihood estimation of the spatial\nautoregressive stochastic frontier model with individual fixed\neffects (removed by first differencing) and endogenous\nregressors handled through a Gaussian control function, as in\nGiannini (2025) <doi:10.1080/17421772.2024.2414962>. Returns\ncoefficient estimates and standard errors, spatially-corrected\ntechnical (in)efficiency scores, and direct, indirect and total\nmarginal impacts. Depends only on base R.",
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      "title": "spefa: spatial stochastic frontier with fixed effects and endogeneity",
      "author": "Massimo Giannini (University of Rome Tor Vergata, Department of Enterprise Engineering)",
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        "1. What this package estimates",
        "2. Installation",
        "3. The data you supply",
        "4. The spefa() function and its options",
        "5. What is returned, and the available methods",
        "6. A worked example",
        "7. Reading the results",
        "8. Practical notes and identification",
        "References"
      ],
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