measures, and spatial and time fixed measures of expected future prices and price uncertainty. This method improves the … price uncertainty by a generalized autoregressive conditional heteroskedasticity (GARCH) model. To explore for the presence … of real options in house prices, vacant land sales price is regressed on SDM measures of future house price uncertainty …

: relocation costs and uncertainty. A theoretical model is developed that highlights key aspects of a local housing market and … allows discussing implications for empirical estimates. The model shows that relocation costs are related to uncertainty due … with uncertainty even if agents are risk-neutral. Agents' attitudes toward risk influence this relationship: Under risk …

when facing higher demand uncertainty. Developers' overconfidence creates value in terms of optimal profit and market share …

acquiring or processing information acquire less information. Finally, an exogenous increase in the perceived uncertainty of the …

some recipients are exposed to uncertainty. Although, under certainty almost all uninvolved participants distribute … resources equally, they exhibit remarkable heterogeneity in just allocations under uncertainty. Moreover, uninvolved … participants allocate on average less to recipients exposed to higher degrees of uncertainty and allocations are correlated with …

scientific uncertainty about the effects of increased greenhouse gas concentrations on climate. Criticisms of this controversial …

behavior involves such variables as human wealth and income uncertainty which are not directly observable. This paper exploits …

acquiring or processing information acquire less information. Finally, an exogenous increase in the perceived uncertainty of the …