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  "Package": "EWS",
  "Type": "Package",
  "Title": "Early Warning System",
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  "Author": "Jean-Baptiste Hasse [aut], Quentin Lajaunie [aut, cre]",
  "Maintainer": "Quentin Lajaunie <quentin_lajaunie@hotmail.fr>",
  "Description": "The purpose of Early Warning Systems (EWS) is to detect\naccurately the occurrence of a crisis, which is represented by\na binary variable which takes the value of one when the event\noccurs, and the value of zero otherwise. EWS are a toolbox for\npolicymakers to prevent or attenuate the impact of economic\ndownturns. Modern EWS are based on the econometric framework of\nKauppi and Saikkonen (2008) <doi:10.1162/rest.90.4.777>.\nSpecifically, this framework includes four dichotomous models,\nrelying on a logit approach to model the relationship between\nyield spreads and future recessions, controlling for recession\nrisk factors. These models can be estimated in a univariate or\na balanced panel framework as in Candelon, Dumitrescu and\nHurlin (2014) <doi:10.1016/j.ijforecast.2014.03.015>. This\npackage provides both methods for estimating these models and a\ndataset covering 13 OECD countries over a period of 45 years.\nIn addition, this package also provides methods for the\nanalysis of the propagation mechanisms of an exogenous shock,\nas well as robust confidence intervals for these response\nfunctions using a block-bootstrap method as in Lajaunie (2021).\nThis package constitutes a useful toolbox (data and functions)\nfor scholars as well as policymakers.",
  "License": "GPL-3",
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  "Date/Publication": "2021-02-24 09:30:06 UTC",
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    "EWS_CSA_Criterion",
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    "GIRF_Index_CI",
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    "Simul_GIRF",
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        "Date",
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        "Spread",
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      "table": true,
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      "title": "Block Bootstrapp",
      "topics": [
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      "title": "Historical data for 13 OECD countries",
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    {
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      "title": "Historical data for the United States",
      "topics": [
        "data_USA"
      ]
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      "title": "AM Threshold - optimal cut-off",
      "topics": [
        "EWS_AM_Criterion"
      ]
    },
    {
      "page": "EWS_CSA_Criterion",
      "title": "CSA Threshold - optimal cut-off",
      "topics": [
        "EWS_CSA_Criterion"
      ]
    },
    {
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      "title": "NSR Threshold - optimal cut-off",
      "topics": [
        "EWS_NSR_Criterion"
      ]
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      ]
    },
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      "title": "Confidence Intervals for the Index - GIRF Analysis",
      "topics": [
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      ]
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        "GIRF_Proba_CI"
      ]
    },
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      "title": "Logistic Estimation for Dichotomous Analysis",
      "topics": [
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      "title": "Matrix Lag - data processing",
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      "title": "GIRF Simulations",
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      "title": "Vector of Errors",
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      ]
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