# Errata for Environmental Econometrics Using Stata

The errata for Environmental Econometrics Using Stata are provided below. Click here for an explanation of how to read an erratum. Click here to learn how to determine the printing number of a book.

 (1) Chapter 5, p. 81
 Consider the simple VAR(1) linking the growth rate of CO2 emissions and the growth rate of real GDP: \begin{align*} \Delta {\tt gdp}_t = \phi_{10} + \phi_{11} \Delta{\tt gdp}_t + \phi_{12} \Delta {\tt co2}_{t-1} + v_{1t}\\ \Delta {\tt co2}_t = \phi_{20} + \phi_{21} \Delta{\tt gdp}_t + \phi_{22} \Delta {\tt co2}_{t-1} + v_{2t} \end{align*} Lowercase variable names denote logarithms, and $$v_{1t}$$ and $$v_{2t}$$ are disturbance terms. Equation-by-equation ordinary least squares produces the following results: Consider the simple VAR(1) linking the growth rate of CO2 emissions and the growth rate of real GDP: \begin{align*} \Delta {\tt gdp}_t = \phi_{10} + \phi_{11} \Delta{\tt gdp}_{t-1} + \phi_{12} \Delta {\tt co2}_{t-1} + v_{1t}\\ \Delta {\tt co2}_t = \phi_{20} + \phi_{21} \Delta{\tt gdp}_{t-1} + \phi_{22} \Delta {\tt co2}_{t-1} + v_{2t} \end{align*} Lowercase variable names denote logarithms, and $$v_{1t}$$ and $$v_{2t}$$ are disturbance terms. Equation-by-equation ordinary least squares produces the following results: