Project: Election Forecasts Config

    Summary: Seven models, 945 forecasts, 76,224 predictions
    Owner: nick
    Model Owners: ydh28, nick
    Visibility Public
    Description: This project stores forecasts from multiple election forecast sites, including FiveThirtyEight and the Economist, for ease of access and comparison.
    Home: https://reichlab.io
    Core data: https://zoltardata.com/
    Truth Data: (No truth data)
    Visualization: (Please configure options to view visualizations) (interactive visualization of all forecasts in the project [beta])
    Summary: Summary (interactive visualization/tabular summary of all - or a subset of - forecasts in the project)
    Explorer: Explorer (summarizes the subset of the most recent forecasts from each team)
    Download: Download (interface to start a query for any forecast data in the project)

    Models (7)

    Abbreviation Team # Forecasts Oldest Newest Upload time
    ourprogress The Progress Campaign 9 2020-10-20 2020-11-03 2020-11-03 22:39:04 UTC
    jhk JHK 248 2020-03-01 2020-11-03 2020-11-03 22:38:59 UTC
    economist The Economist 248 2020-03-01 2020-11-03 2020-11-03 22:38:43 UTC
    538_deluxe FiveThirtyEight 95 2020-08-01 2020-11-03 2020-11-03 22:38:35 UTC
    538_classic FiveThirtyEight 95 2020-08-01 2020-11-03 2020-11-03 22:38:31 UTC
    538_lite FiveThirtyEight 95 2020-08-01 2020-11-03 2020-11-03 22:38:28 UTC
    538_pp FiveThirtyEight 155 2020-06-01 2020-11-03 2020-11-03 22:38:18 UTC

    Units (93)

    Abbreviation Name
    TX-sen TX-sen
    AR-sen AR-sen
    NE-3-pres NE-3-pres
    NE-2-pres NE-2-pres
    NE-1-pres NE-1-pres
    ME-2-pres ME-2-pres
    ME-1-pres ME-1-pres
    DC-pres DC-pres
    GA-sen-sp GA-sen-sp
    WY-sen WY-sen
    WY-pres WY-pres
    WI-pres WI-pres
    WV-sen WV-sen
    WV-pres WV-pres
    WA-pres WA-pres
    VA-sen VA-sen
    VA-pres VA-pres
    VT-pres VT-pres
    UT-pres UT-pres
    TX-pres TX-pres
    TN-sen TN-sen
    TN-pres TN-pres
    SD-sen SD-sen
    SD-pres SD-pres
    SC-sen SC-sen
    SC-pres SC-pres
    RI-sen RI-sen
    RI-pres RI-pres
    PA-pres PA-pres
    OR-sen OR-sen
    OR-pres OR-pres
    OK-sen OK-sen
    OK-pres OK-pres
    OH-pres OH-pres
    ND-pres ND-pres
    NC-sen NC-sen
    NC-pres NC-pres
    NY-pres NY-pres
    NM-sen NM-sen
    NM-pres NM-pres
    NJ-sen NJ-sen
    NJ-pres NJ-pres
    NH-sen NH-sen
    NH-pres NH-pres
    NV-pres NV-pres
    NE-sen NE-sen
    NE-pres NE-pres
    MT-sen MT-sen
    MT-pres MT-pres
    MO-pres MO-pres
    MS-sen MS-sen
    MS-pres MS-pres
    MN-sen MN-sen
    MN-pres MN-pres
    MI-sen MI-sen
    MI-pres MI-pres
    MA-sen MA-sen
    MA-pres MA-pres
    MD-pres MD-pres
    ME-sen ME-sen
    ME-pres ME-pres
    LA-sen LA-sen
    LA-pres LA-pres
    KY-sen KY-sen
    KY-pres KY-pres
    KS-sen KS-sen
    KS-pres KS-pres
    IA-sen IA-sen
    IA-pres IA-pres
    IN-pres IN-pres
    IL-sen IL-sen
    IL-pres IL-pres
    ID-sen ID-sen
    ID-pres ID-pres
    HI-pres HI-pres
    GA-sen GA-sen
    GA-pres GA-pres
    FL-pres FL-pres
    DE-sen DE-sen
    DE-pres DE-pres
    CT-pres CT-pres
    CO-sen CO-sen
    CO-pres CO-pres
    CA-pres CA-pres
    AR-pres AR-pres
    AZ-sen AZ-sen
    AZ-pres AZ-pres
    AK-sen AK-sen
    AK-pres AK-pres
    AL-sen AL-sen
    AL-pres AL-pres
    US-sen US-sen
    US-pres US-pres

    Targets (6)

    Target Group # Targets Type Outcome Variable Step ahead? Example Target
    ec_win_dem 1 nominal Electoral College win Democrats “ec_win_dem”
    ev_won_dem 1 continuous number of electoral votes won by Democrats “ev_won_dem”
    popvote_win_dem 1 binary popular vote win Democrats “popvote_win_dem”
    senate_seats_won_dem 1 discrete number of Senate seats won by Democrats “senate_seats_won_dem”
    senate_win_dem 1 binary Senate win (control) for Democrats “senate_win_dem”
    voteshare_dem_twoparty 1 continuous share of two-party (D/R) popular vote for Democrats “voteshare_dem_twoparty”

    Time zeros (248)

    Time Zero Data Version Date # Forecasts Starts Season
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