Environmental Effect Evaluation: A Quantile-Type Path-Modeling Approach

The environment is a key element that affects many aspects of our society, including the economy, education and talents. In this article, main purpose to provide statistical models, algorithms quantitative evidence regarding environmental effect evaluation (EEE). To accomplish investigation, I first establish theoretical EEE model then apply quantile-type path-modeling algorithm in developed at different quantile levels. real-data analysis, article investigates hypotheses illustrates performances estimators through bootstraps. results mainly illustrate has indispensable impacts on science technology talent directly indirect effects scientific infrastructure output. Compared with existing classical algorithm, make full use regression overcome exploration only average effects. Both capture changes relations among constructs between observed variables, helps analyze entire distribution outcome variables model.