2. A study investigated the impact of house price appreciation on household mobility. The underlying idea...

 

Transcribed Image Text:

2. A study investigated the impact of house price appreciation on household mobility. The underlying idea was that if a house were viewed as one part of the household's portfolio of assets, then changes in the value of the house, relative to other portfolio items, should result in investment decisions altering the current portfolio. Using 5,162 observations, the logit equation was estimated as shown in the table, where the limited dependent variable is one if the household moved in 1978 and is zero if the household did not move: Regression model constant Male Black Married78 marriage change A7983 PURN Pseudo-R2 Logit Variable male black married78 -3.323 (0.180) -0.567 (0.421) -0.954 (0.515) 0.054 marriage change A7983 PNRN (0.412) 0.764 where male, black, married78, and marriagechange are binary variables. They indicate, respectively, if the entity was a male-headed household, a black household, was married, and whether a change in marital status occurred between 1977 and 1978. A7983 is the appreciation rate for each house price from 1979 to 1983, and PNRN is a predicted appreciation rate for the house minus the national average rate. (0.416) -0257 (0.921) -4.545 (3.354) 0.016 (a) Interpret the results. Comment on the statistical significance of the coeffi- cients. Do the slope coefficients lend themselves to easy interpretation? (b) The mean values for the regressors are as shown in the accompanying table Mean 0.82 0.09 0.78 0.03 0.003 0.007 Taking the coefficients at face value and using the sample means, calculate the probability of a household moving. (c) Given this probability, what would be the effect of a decrease in the predicted appreciation rate of 20 percent, that is A7983 = -0.20? 2. A study investigated the impact of house price appreciation on household mobility. The underlying idea was that if a house were viewed as one part of the household's portfolio of assets, then changes in the value of the house, relative to other portfolio items, should result in investment decisions altering the current portfolio. Using 5,162 observations, the logit equation was estimated as shown in the table, where the limited dependent variable is one if the household moved in 1978 and is zero if the household did not move: Regression model constant Male Black Married78 marriage change A7983 PURN Pseudo-R2 Logit Variable male black married78 -3.323 (0.180) -0.567 (0.421) -0.954 (0.515) 0.054 marriage change A7983 PNRN (0.412) 0.764 where male, black, married78, and marriagechange are binary variables. They indicate, respectively, if the entity was a male-headed household, a black household, was married, and whether a change in marital status occurred between 1977 and 1978. A7983 is the appreciation rate for each house price from 1979 to 1983, and PNRN is a predicted appreciation rate for the house minus the national average rate. (0.416) -0257 (0.921) -4.545 (3.354) 0.016 (a) Interpret the results. Comment on the statistical significance of the coeffi- cients. Do the slope coefficients lend themselves to easy interpretation? (b) The mean values for the regressors are as shown in the accompanying table Mean 0.82 0.09 0.78 0.03 0.003 0.007 Taking the coefficients at face value and using the sample means, calculate the probability of a household moving. (c) Given this probability, what would be the effect of a decrease in the predicted appreciation rate of 20 percent, that is A7983 = -0.20?

Answer rating: 100% (QA)

The image youve provided shows a logit regression model from a study investigating the impact of house price appreciation on household mobility It inc... View the full answer