Table 1 reports results on the returns to numeracy skills in terms of hourly wages in the 32 PIAAC countries, using different specifications to address potential bias from measurement error, reverse causality, and omitted variables, respectively.
The most obvious reasons for (beta_{1}) being a biased estimate of the true returns to skills are measurement error, reverse causality, and omitted variables (for a discussion, see also Hanushek et al., 2015).
It also enables us to address important methodological issues, such as firm-level time-invariant heterogeneity, measurement errors, reverse causality, feedback effects and state dependence of firm productivity.
Error reduction ratio causality, a new nonlinear causality detection approach, is being proposed in order to assess the correlation of each measured variable to the variation of workload.
Test results show that the developed error reduction ratio causality method can effectively identify the important variables that relate to the variation of driver workload, and the support vector regression based model can successfully and robustly estimate workload.
Anterior insular activity appears to be closely related to autonomic responses associated with consciously perceived errors, although the causality and directions of these relationships still needs to be unraveled.
Elmi and Sadeghi [21] verified this relationship using a sample of developing countries from 1990 to 2009 and made use of panel co-integration causality vector error correction model (VECM).
In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971 2008.
A number of possible limitations of this study should be considered including sampling error, measurement error, reverse causality, and residual confounding.
To capture the influence of financial innovation on economic growth, we estimated the long-run cointegration by applying Autoregressive Distributed Lag (ARDL) bound testing and Granger causality-based Error Correction Model (ECM) to capture the directional association.
