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Table 5 Quantiles of subjective probability distributions of house prices (within postal code estimates)

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

Variables (1) (2) (3) (4) (5)
q10 q25 q50 q75 q90
Log (price/m2) 0.014 0.131 0.147 0.121 0.116
Age 45–64 0.608* 0.504* 0.379 0.150 \(-\)0.087
Age over 64 1.052*** 0.728** 0.432 0.100 \(-\)0.241
Blue collar 0.676** 0.604** 0.523** 0.406** 0.364**
Self-employed \(-\)0.563 \(-\)0.363 \(-\)0.327 \(-\)0.385 \(-\)0.412*
Secondary education 0.221 0.041 0.030 \(-\)0.025 \(-\)0.082
University education 0.595 0.506 0.382 0.268 0.137
Woman 0.228 0.367* 0.401** 0.323** 0.206
Own other housing \(-\)0.141 \(-\)0.225 \(-\)0.310 \(-\)0.331* \(-\)0.358**
Bought main residence recently 0.609 0.621* 0.578** 0.551** 0.508**
Log (household income) \(-\)0.103 \(-\)0.103 \(-\)0.125 \(-\)0.125 \(-\)0.131
Wealth percentiles 25–50 0.455 0.322 0.223 0.091 \(-\)0.181
Wealth percentiles 50–75 1.054** 0.765* 0.520 0.328 \(-\)0.010
Wealth percentiles 75–90 0.758 0.638 0.555 0.389 0.049
Wealth percentiles 90–100 0.258 0.246 0.212 0.139 \(-\)0.102
Constant \(-\)7.230** \(-\)5.811** \(-\)3.405* \(-\)1.279 0.643
Observations 5023 5023 5023 5023 5023
Adjusted R2 0.366 0.345 0.353 0.382 0.400
  1. All specifications include postal dummies and have been estimated taking into account population weights and the five imputed datasets
  2. *** p\(\,<\,\)0.01, ** p \(<\) 0.05, * p \(<\) 0.1