An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...

This paper investigates the association between real estate demand and the volatility of population changes. In a financial liberalized housing market, the housing mortgage loan implies insurance function to homeowners through the default option. Larger expected volatilities in the population...

This paper used an estimated mixed multinomial logit model of household housing demand to examine the impact of four housing market-related policies on a stated preference survey sample. The estimated demand probability function suggested that household choice behaviour does show huge...

In this study we apply a random utility modeling framework to analyze housing demand in the city of Shanghai. A Multinomial Logit Model taking account of latent choice sets is employed to investigate the impact of household characteristics, such as income, size and age composition, on the choice...

The central question addressed by this study is whether countries with above-average governance grew faster than countries with below-average governance. Using the World Bank’s worldwide governance indicators to measure governance performance, it examines whether a country with governance...

The development of the housing market in the People's Republic of China is not only a major component of Chinese economic growth but also has wide-ranging influential impacts on Chinese society. A burgeoning number of papers have examined the housing market in the postreform People's Republic of...

This article provides an overview of difference-in-differences estimation, starting with a review of the basic methodology, discussing in some detail recent advances in inference, and concluding with new methods for estimating treatment effects in various nonlinear and semiparametric models.

Systems of consumer expenditure functions are estimated from Norwegian household panel data. Total consumption expenditure is modeled as a latent variable, as indicators of it are purchase expenditures on different goods and two income measures. The usual assumption of no measurement error in...