Political uncertainty and housing markets

This paper examines the causal effects of political uncertainty on housing markets. We used US gubernatorial elections from 1982 to 2018 as a source of exogenous variation in political uncertainty and exploited the regional variations in residential housing markets. We used neighboring states without elections and counties at the state borders without elections as control groups. We found that higher political uncertainty causes (a) a decrease in house price growth; (b) a decrease in the number of housing transactions; and (c) an increase in the number of building permits. These effects are stronger during election years when election outcomes present higher uncertainty. We further examined the impact of political uncertainty on mortgage markets and found that mortgage demand and supply decrease in election years

Political uncertainty and housing markets

This paper examines the causal effects of political uncertainty on housing markets. We used US gubernatorial elections from 1982 to 2018 as a source of exogenous variation in political uncertainty and exploited the regional variations in residential housing markets. We used neighboring states without elections and counties at the state borders without elections as control groups. We found that higher political uncertainty causes (a) a decrease in house price growth; (b) a decrease in the number of housing transactions; and (c) an increase in the number of building permits. These effects are stronger during election years when election outcomes present higher uncertainty. We further examined the impact of political uncertainty on mortgage markets and found that mortgage demand and supply decrease in election years

Flower Development

Flowers are the most complex structures of plants. Studies of Arabidopsis thaliana, which has typical eudicot flowers, have been fundamental in advancing the structural and molecular understanding of flower development. The main processes and stages of Arabidopsis flower development are summarized to provide a framework in which to interpret the detailed molecular genetic studies of genes assigned functions during flower development and is extended to recent genomics studies uncovering the key regulatory modules involved. Computational models have been used to study the concerted action and dynamics of the gene regulatory module that underlies patterning of the Arabidopsis inflorescence meristem and specification of the primordial cell types during early stages of flower development. This includes the gene combinations that specify sepal, petal, stamen and carpel identity, and genes that interact with them. As a dynamic gene regulatory network this module has been shown to converge to stable multigenic profiles that depend upon the overall network topology and are thus robust, which can explain the canalization of flower organ determination and the overall conservation of the basic flower plan among eudicots. Comparative and evolutionary approaches derived from Arabidopsis studies pave the way to studying the molecular basis of diverse floral morphologies