We would like to study whether campaign expenditures affect election outcomes. Your dataset contains the following variables: .des obs: vars: size: 173 10 4,498 25 Jun 1999 14:07 storage variable name type display format value label variable label state district democA votea expenda expende prtystra str2 byte byte byte float float byte %95 %3.0f %3.2f %5.2f %8.2f %8.2f %5.2f %9.09 %9.0g %5.27 state postal code congressional district =1 if A is democrat percent vote for A camp. expends by A, $1000s camp. expends. by B, $1000s % vote for president log(expenda) log(expendB) 100* (expendA/(expendA+expendB)) float Texpenda Texpende share float float First, we would like to study the model where the percentage of the vote received by Candidate A (voteA) is determined by the log of campaign expenditures by Candidate A (lexpendA), the log of campaign expenditures by Candidate B (lexpendB) and a measure of party strength for Candidate A (the percentage of the most recent presidential vote that went to A's party - (prtystr)). We estimated the following regression in STATA: reg votes lexpenda lexpendB prtystra Source SS df MS = Model Residual 38405. 1096 10052.1389 3 169 12801.7032 59.480112 Number of obs F(3, 169) Prob > F R-squared Adj R-squared Root MSE 173 215.23 0.0000 0.7926 0.7889 7.7123 Total 1 48457.2486 172 281.728189 Coef Std. Err. t P>t [95% Conf. Interval] voteA lexpenda lexpendB prtystra _cons 6.083316 -6.615417 .1519574 45.07893 38215 .3788203 .0620181 3.926305 15.92 -17.46 2.45 11.48 0.000 0.000 0.015 0.000 5.328914 -7.363246 .0295274 37.32801 6.837719 -5.867588 .2743873 52.82985 Find the elasticity of voteA with respect to expenditures by Candidate A if Candidate A spent 1000$, Candidate B spent 1000$ on campaign, and 10% of the most recent votes went to party A. We would like to study whether campaign expenditures affect election outcomes. Your dataset contains the following variables: .des obs: vars: size: 173 10 4,498 25 Jun 1999 14:07 storage variable name type display format value label variable label state district democA votea expenda expende prtystra str2 byte byte byte float float byte %95 %3.0f %3.2f %5.2f %8.2f %8.2f %5.2f %9.09 %9.0g %5.27 state postal code congressional district =1 if A is democrat percent vote for A camp. expends by A, $1000s camp. expends. by B, $1000s % vote for president log(expenda) log(expendB) 100* (expendA/(expendA+expendB)) float Texpenda Texpende share float float First, we would like to study the model where the percentage of the vote received by Candidate A (voteA) is determined by the log of campaign expenditures by Candidate A (lexpendA), the log of campaign expenditures by Candidate B (lexpendB) and a measure of party strength for Candidate A (the percentage of the most recent presidential vote that went to A's party - (prtystr)). We estimated the following regression in STATA: reg votes lexpenda lexpendB prtystra Source SS df MS = Model Residual 38405. 1096 10052.1389 3 169 12801.7032 59.480112 Number of obs F(3, 169) Prob > F R-squared Adj R-squared Root MSE 173 215.23 0.0000 0.7926 0.7889 7.7123 Total 1 48457.2486 172 281.728189 Coef Std. Err. t P>t [95% Conf. Interval] voteA lexpenda lexpendB prtystra _cons 6.083316 -6.615417 .1519574 45.07893 38215 .3788203 .0620181 3.926305 15.92 -17.46 2.45 11.48 0.000 0.000 0.015 0.000 5.328914 -7.363246 .0295274 37.32801 6.837719 -5.867588 .2743873 52.82985 Find the elasticity of voteA with respect to expenditures by Candidate A if Candidate A spent 1000$, Candidate B spent 1000$ on campaign, and 10% of the most recent votes went to party A
