We investigate the sources, scope, and implications of landowner market power. We show how zoning regulations generate spillovers through increased markups and derive conditions under which restricting landownership concentration reduces rents. Using newbuilding-level data from New York City, we...

The present study analyzes Perm, Russia residential housing market supply focusing on sellers' heterogeneity. Many indicators of heterogeneity were considered in the previous research, and all of them were proved to have a great impact on housing prices and time on the market. However, the gap...

Structured additive regression (STAR) models are a rich class of regression models that include the generalized linear model (GLM) and the generalized additive model (GAM). STAR models can be fitted by Bayesian approaches, component-wise gradient boosting, penalized least-squares, and deep...

La valoración de una vivienda a partir de sus principales atributos (externos e internos) resulta de interés en nuestra sociedad para numerosos colectivos. En este trabajo se plantean dos objetivos principales: en primer lugar la obtención de modelos econométricos de valoración inmobiliaria...

We combine a standard stock-flow housing market model, incorporating explicit relationships between house prices, the housing stock, and the rent level, with a parsimonious expectation formation scheme of housing market investors, reflecting an evolving mix of extrapolative and regressive...

We develop a new dynamic equilibrium model with heterogeneous households that captures the most important frictions that arise in housing rental markets and explains the political popularity of affordable housing policies. We estimate the model using data collected by the New York Housing...

This chapter examines certain of the developments in the application of economic theory and in empirical and policy analysis with respect to housing markets in general and urban housing markets in particular. The majority of the material refers to US and UK experience with some English language...

We propose in this paper a likelihood-based framework forcointegration analysis in panels of a fixed number of vector errorcorrection models. Maximum likelihood estimators of thecointegrating vectors are constructed using iterated GeneralizedMethod of Moments estimators. Using these estimators...