We present the results of a series of economic laboratory experiments designed to study the compliance behavior of polluting firms when penalties are stochastic. The experiments consist of a regulatory environment in which university students faced emission standards and an enforcement mechanism composed of audit probabilities and penalties (conditional on detection of a violation).

The last decade has seen a significant global increase in immigration. This large growth has caused an increasing opposition to immigration in local populations in many parts of the world, partly because of a commonly held belief that immigration increases crime. Using data from Chile, spanning 10 years, from 2005 to 2015, we analyze the relationship between immigration and crime through a dynamic Spatial Durbin Model (SDM), which accounts for the possible bias for omitted variables.

Global climate change will have a strong impact on Nigeria, particularly on agricultural production and associated livelihoods. Although there is a growing scientific consensus about the impact of climate change, efforts so far in Nigeria to deal with these impacts are still rudimentary and not properly coordinated. There is little evidence of any pragmatic approach towards tracking climate change in order to develop an evidence base on which to formulate national adaptation strategies.

Quantifying the impact of climate change at a regional scale is important in trying to develop adaptation policies. We estimated the economic impact of climate change on forest resource use in Nigeria using the Ricardian model in the STATA statistical software. Using a structured questionnaire, data were collected from 400 rural households in forest communities, sampled from five broad ecological regions across Nigeria to estimate income and potential impact on this as a result of climate change. Estimated average value of annual household income from the forest was $3380.