Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous spatial hedonic pricing models. In this paper, we...

Many transport technologies cause a gnot]in]my] backyard (NIMBY) reaction of locals in that they often oppose the nearby location of necessary infrastructure despite benefiting from greater mobility. We employ quasi] experimental research methods to disentangle the offsetting noise and...

Virtual worlds have become increasingly more important, and are being used for a large variety of recreational and business activities. Various companies have opened virtual offices and brand ambassador spaces, and the recent surge in online interactions has further increased the interest in...

This article characterizes China's between-city skyscraper contest with an infinitely-repeated game. The mixed strategy equilibrium of this dynamic game-theoretic model implies that a Chinese city would be more inclined to build a taller skyscraper if the height of its current tallest building...

In this article we test the relationship between per capita income differential and exchange rate differential between two different economic background countries. Recent researches have been done on the testing of international Fisher effect, Interest rate, GDP growth rate and purchasing power...

Despite the booming development of financial technology (fintech) in China, little academic literature has explored the effects of fintech on poverty. This paper explores the effects of fintech on poverty alleviation in the provinces of China. The sample includes data for 31 provinces for the...

Microeconomic applications of semi-parametric models with an endogenous variable have been largely ignored. Recognizing spatial heterogeneity captured by semi-parametric cost function models can impact economies of scale estimates. We estimate several cost function models, using panel data for...

This paper applies functional regression to precise geo-coded register data to measure productivity spillovers from high-skilled workers. We use a smoothing splines estimator to model the spatial distribution of high-skilled workers as continuous curves. Our rich panel data allows us to address...