Residential Electricity Demand in Mexico a Model Distinguishing Access From Co
Residential Electricity Demand in Mexico a Model Distinguishing Access From Co
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Partial income elasticity estimates are also smaller with the pooled regional data, but differences are not as large as for the price elasticity estimates. For example, while the pooled and time-series estimates of the short-run partial income elasticity are about 0. 32 and 0. 24, respectively, the long-run partial income elasticity estimates are very similar, especially for the logistic specification, 0. 732 (pooled) and 0. 758 (time series). Note also that t-statistics on the partial income e...lasticities are larger with the pooled data.
Estimates of the speed of adjustment parameter (one minus the coefficient on the lagged dependent variable) are slightly smaller with the pooled data, about 0. 37 as compared to 0. 43 with the time-series data. As expected, estimates of the LTMAX and LTMIN coefficients are positive and negative, respectively, with the former being statistically significant.
The discussion to this point has suggested that although the time-series and pooled data yield somewhat different results, not much difference occurs in estimates based on the log-linear (14) versus the logistic specification 16 (15) of the electric access saturation relationship.
What to read after Residential Electricity Demand in Mexico a Model Distinguishing Access From Co?
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To quickly assess the difficulty of the text, read a short excerpt:
Partial income elasticity estimates are also smaller with the pooled regional data, but differences are not as large as for the price elasticity estimates. For example, while the pooled and time-series estimates of the short-run partial income elasticity are about 0. 32 and 0. 24, respectively, the long-run partial income elasticity estimates are very similar, especially for the logistic specification, 0. 732 (pooled) and 0. 758 (time series). Note also that t-statistics on the partial income e...lasticities are larger with the pooled data.
Estimates of the speed of adjustment parameter (one minus the coefficient on the lagged dependent variable) are slightly smaller with the pooled data, about 0. 37 as compared to 0. 43 with the time-series data. As expected, estimates of the LTMAX and LTMIN coefficients are positive and negative, respectively, with the former being statistically significant.
The discussion to this point has suggested that although the time-series and pooled data yield somewhat different results, not much difference occurs in estimates based on the log-linear (14) versus the logistic specification 16 (15) of the electric access saturation relationship.
What to read after Residential Electricity Demand in Mexico a Model Distinguishing Access From Co?
You can find similar books in the "Read Also" column, or choose other free books by Ernst R Berndt to read onlineMoreLess
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