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Table 13 Self-assessed value of different assets (for those owning each asset)

From: Measuring expectations from household surveys: new results on subjective probabilities of future house prices

Variables (1) (2) (3) (4)
Log (home price/m2) Log (current accounts) Log (stocks) Log (pension funds)
Age 45–64 \(-\)0.149*** \(-\)0.082 0.281 0.565***
Age over 64 \(-\)0.211*** 0.473*** 0.009 0.296
Blue collar 0.008 \(-\)0.176** \(-\)0.954*** \(-\)0.057
Self-employed \(-\)0.151*** \(-\)0.023 0.552 0.164
Secondary education 0.017 \(-\)0.011 \(-\)0.494 0.043
University education \(-\)0.008 0.588*** \(-\)0.393 0.108
Woman 0.054*** \(-\)0.266*** \(-\)0.611* \(-\)0.256
Log (household income) 0.028* 0.534*** \(-\)0.010 0.187
Wealth percentiles 25–50 0.250*** 0.669*** \(-\)0.030 0.235
Wealth percentiles 50–75 0.457*** 1.081*** 0.485 0.604*
Wealth percentiles 75–90 0.520*** 1.403*** 0.285 1.117***
Wealth percentiles 90–100 0.635*** 1.461*** 1.025* 1.866***
Constant 6.905*** 1.776** 9.047*** 5.707***
Observations 5190 5717 1631 1858
Adjusted R\(^2\) 0.663 0.447 0.673 0.584
  1. *** p \(<\) 0.01, ** p \(<\) 0.05, ** p \(<\) 0.1
  2. All specifications include postal dummies and have been estimated taking into account population weights and the five imputed datasets