ABSTRACT
Many types of green crime can and should be studied over time, and temporal models provide a useful mechanism for understanding trends in and explaining factors that impact the occurrence of green crimes. This chapter examines how panel data can be used to analyze issues in green criminology and discusses the following statistical concepts and methods: fixed-effects, random-effects, and multilevel models for change and appropriate use of diagnostics tests. To illustrate these methods, we provide examples employing CITES data on the wildlife trade using the statistical package Stata (v.15).
