pancov |

Compute covariances, correlations, and other measures of association for a panel series.

You may compute measures related to Pearson product-moment (ordinary) covariances and correlations, Spearman rank covariances, or Kendall’s tau along with test statistics for evaluating whether the correlations are equal to zero.

Syntax

series_name.pancov(options) [keywords]

By default, EViews will compute the contemporaneous (between cross-section) covariances, correlations and related statistics for the panel series. You may use the “period” option to instruct EViews to compute the between period (within cross-section) measures.

You should specify keywords indicating the statistics you wish to display from the list below.

You may specify keywords from one of the four sets (Pearson correlation, Spearman rank correlation, Kendall’s tau, Uncentered Pearson) corresponding the computational method you wish to employ. (You may not select keywords from more than one set.)

If you do not specify keywords, EViews will assume “cov” and compute the Pearson covariance matrix.

Pearson Correlation

cov | Product moment covariance. |

corr | Product moment correlation. |

sscp | Sums-of-squared cross-products. |

stat | Test statistic (t-statistic) for evaluating whether the correlation is zero. |

prob | Probability under the null for the test statistic. |

cases | Number of cases. |

obs | Number of observations. |

Spearman Rank Correlation

rcov | Spearman’s rank covariance. |

rcorr | Spearman’s rank correlation. |

rsscp | Sums-of-squared cross-products. |

rstat | Test statistic (t-statistic) for evaluating whether the correlation is zero. |

rprob | Probability under the null for the test statistic. |

cases | Number of cases. |

obs | Number of observations. |

Kendall’s tau

taub | Kendall’s tau-b. |

taua | Kendall’s tau-a. |

taucd | Kendall’s concordances and discordances. |

taustat | Kendall’s score statistic for evaluating whether the Kendall’s tau-b measure is zero. |

tauprob | Probability under the null for the score statistic. |

cases | Number of cases. |

obs | Number of observations. |

Uncentered Pearson

ucov | Product moment covariance. |

ucorr | Product moment correlation. |

usscp | Sums-of-squared cross-products. |

ustat | Test statistic (t-statistic) for evaluating whether the correlation is zero. |

uprob | Probability under the null for the test statistic. |

cases | Number of cases. |

obs | Number of observations. |

Note that cases and obs are available for each of the methods.

Options

period | Compute period (within cross-section) panel covariances and related statistics. The default is to compute contemporaneous (between cross-section) measures. |

pairwise | Compute using pairwise deletion of observations with missing cases (pairwise samples). |

df | Compute covariances with a degree-of-freedom correction for the mean (for centered specifications). |

multi=arg (default=“none”) | Adjustment to p-values for multiple comparisons: none (“none”), Bonferroni (“bonferroni”), Dunn-Sidak (“dunn”). |

outfmt=arg (default= “single”) | Output format: single table (“single”), multiple table (“mult”), list (“list”), spreadsheet (“sheet”). Note that “outfmt=sheet” is only applicable if you specify a single statistic keyword. |

out=name | Basename for saving output. All results will be saved in Sym matrices named using keys (“COV”, “CORR”, “SSCP”, “TAUA”, “TAUB”, “CONC” (Kendall’s concurrences), “DISC” (Kendall’s discordances), “CASES”, “OBS”, “WGTS”) appended to the basename (e.g., the covariance specified by “out=my” is saved in the Sym matrix “MYCOV”). |

prompt | Force the dialog to appear from within a program. |

p | Print the result. |

Examples

ser1.pancov

displays the contemporaneous Pearson covariance matrix of SER1 using the cross-sections in sample.

ser1.pancov corr stat prob

displays a table containing the contemporaneous Pearson correlation matrix for SER1, along with t-statistics for testing for zero correlation, and associated p-values,.

smpl 1990 2010

ser1.pancov(period, pairwise) taub taustat tauprob

computes the between period Kendall’s tau-b, score statistic, and p-value for the score statistic, for the periods in the sample “1990 2010” using samples with pairwise missing value exclusion.

ser1.pancov(out=aa, list) cor

computes the contemporaneous Pearson correlation for the series SER1, displays it in list form, and saves the results in the symmetric matrix object AACORR.

Cross-references