EXTENDING A SMOOTH PARAMETER MODEL TO FIRM LOCATION ANALYSES: THE CASE OF NATURAL GAS ESTABLISHMENTS IN THE UNITED STATES
将区域增长模型中的空间体制转换函数扩展到企业区位事件的计数回归模型，提出平滑参数计数模型，并用美国天然气企业数据验证其优于标准零膨胀计数模型。
ABSTRACT This paper extends recent developments in regional growth modeling that use spatial regime switching functions to a count regression model of firm location events. The smooth parameter count model (SPCM) allows for a parsimonious parameterization of locally varying coefficients while simultaneously attending to excess‐zero count events. An empirical application examines natural gas establishment growth between 2005 and 2010. The smooth parameter model appears to outperform a standard zero‐inflated count model. The SPCM may be extended to the location analysis of other industries with the identification of transition variables related to the supply or demand oriented cost structure of the sector.