Sentence examples for lag values of from inspiring English sources

In this study, correlation between the error term and regressors associated with the introduction of lag values of the dependent variable affects its current value.

In the second step, the ECM is analysed by regressing the differenced variables with the lag values of the residual of the long-run regression, but this method has many drawbacks.

The correlation coefficient between GEC27R and EUV27R changes when different lag values are used; it peaks when the lag value of 2 days is used.

The time lag corresponds to the lag value of GEC to EUV for which the correlation coefficient between GEC and EUV reaches a maximum.

If the final test result is moderate, this indicates that the lag value of ROE is a useful auxiliary variable, and this auxiliary variable can be used to weaken potential bias in the coefficient estimating process.

If the variation rate of EUV is an important determinant for the lag value of GEC to EUV, then the difference of the lag between the solar cycle and solar rotation variations of GEC and EUV may be understandable to some extent, because the variation rate of EUV's solar cycle variation is much lower than that of EUV's solar rotation variation.

Table 6 Validity of the instruments (2SLS First stage F-stat) Variables Misestimation Referendum Initiative Rules Instrument Misestimation (D1) Referendum(− 2) Initiative(− 2) Rules(− 2) F-stat 215.41 13.49 22.82 458.47 p value 0.000 0.000 0.000 0.000 (− 2) denotes the second lag value of the variable whereas (D1) refers to the first difference of the variable.

Table 5 Covariance between the potentially endogenous covariates and the instruments Variables Misestimation Referendum Initiative Rules Instrument Misestimation(D1) Referendum(− 2) Initiative(− 2) Rules(− 2) Covariance 0.526 0.907 0.954 0.872 (− 2) denotes the second lag value of the variable whereas (D1) refers to the first difference of the variable.

Once the cross-correlation functions are obtained for all scales except the coarsest and finest due to the fact that there is only one coefficient matrix for them, the curvelet coefficients are aligned with reference to the highest 0th lag value of cross-correlations in each scale.

Conversely, a lag value of 1 indicates that the primary series had been shifted forward one unit.

A lag value of −1 indicates that correlations were performed using time series data for which the first series (Google Trends' data) has been shifted backwards one unit (a month).