Determinants of House Prices: A Quantile Regression Approach

Determinants of House Prices: A Quantile Regression Approach

OLS regression has typically been used in housing research to determine the relationship of a particular housing characteristic with selling price. Results differ across studies, not only in terms of size of OLS coefficients and statistical significance, but sometimes in direction of effect. This study suggests that some of the observed variation in the estimated prices of housing characteristi...

A Quantile Regression Approach to Firm Growth

This paper explores the firm growth rate distribution in a Gibrat's Law context. The aim is to provide an empirical exploration of the determinants of firm growth. The work is novel in two respects. First, rather than limiting the analysis to focus on the conditional mean growth level, we investigate the complete shape of the distribution. Second, we show that the differences in the firm growth...

The Measurement and Determinants of Single - Family House Prices

Determinants of orphan drugs prices in France: a regression analysis

BACKGROUND The introduction of the orphan drug legislation led to the increase in the number of available orphan drugs, but the access to them is often limited due to the high price. Social preferences regarding funding orphan drugs as well as the criteria taken into consideration while setting the price remain unclear. The study aimed at identifying the determinant of orphan drug prices in Fra...

EXTREMAL QUANTILE REGRESSION 3 quantile regression

Quantile regression is an important tool for estimation of conditional quantiles of a response Y given a vector of covariates X. It can be used to measure the effect of covariates not only in the center of a distribution, but also in the upper and lower tails. This paper develops a theory of quantile regression in the tails. Specifically , it obtains the large sample properties of extremal (ext...