Open a spreadsheet dialog for editing the scenario data. In this dialog, the scenario data before the currently selected scenario sample start are marked by a white background color, while unedited entries in the currently selected scenario sample have a yellow background color. Edited entries for the scenario sample are shown with a lightblue background color.
Editing Functions
The following functions are located on the toolbar of the dialog
• | Open Data: opens a previously saved scenario data. |
• | Save: stores the edited scenario data on disk. |
• | Print: send the edited scenario data to the printer driver. |
• | Configure TxtPrint: opens the TxtPrint program dialog from where you can configure printing. |
• | Undo: restores the scenario data to the state at the last save. |
• | Export Data: stores the scenario data in a csv (comma separated values) file on disk. |
• | Summary Of Annualized Data: displays summary information about the scenario data. |
• | Scenario Decomposition: computes a historical decomposition of the scenario data over the scenario sample and displays the plots. |
• | View Data: plots the scenario data and any derived variables that have been defined in the data construction file. |
• | View Shocks: plots smooth estimates of the economic shocks as well as probability values for the implausibility index; see . This index is simply calculated as the accumulated sum of squared standardized shocks over the scenario sample. The probability values are taken from a chi-square distribution with degrees of freedom equal to the number of terms that are summed. |
• | Run Scenario: executes the observed variable scenario based on a subset of the scenario variables. This results in new values for the observed variables. The implications for the full scenario data itself is then traced out using the connection to the observed variables (current and past) and initial values to the full set of scenario variables. |
• | Close: exits from the "Edit Data" dialog. |
From each spreadsheet cell, a number of functions are also available. First of all, each cell accepts matlab's mathematical commands. Second, a context menu appears when you right click in the cell. From this menu, you can manipulate its value and also cells below. For instance, you can set it and all cells below to NaN, to the average of X values above, and to a value from a previously saved scenario data set.
NaN's over the scenario sample play a specific role in YADA. Namely, those entries are simply dropped from the scenario data for that time period when computing the effects of the scenario data on the observed variables.

Additional Information
• | A more detailed description about observed variable scenarios can also be found in Section 11.10 of the YADA Manual. |
• | The specification of observed variable scenario data, including derived variables, is discussed in Section 18.5.6 of the YADA Manual. Additional details can also be found in the example data construction file "DataConstFile.m" which is located in the directory "example\AnSchorfheide" directly below the base directory for YADA. |
NOTE: Observed variable scenarios are only available in the version of YADA that is exclusive to the NAWM team within the Directorate General Research of the European Central Bank. The publicly available version of YADA does not include the code for this tool.
Page url:
http://www.texlips.net/yada/help/index.html?edit_data.htm