Little is known about the cost of environmental regulations that target households instead of firms, partly because of significant methodological and data challenges. We use the contingent valuation method to measure the costs of Mexico City’s Day without Driving program, which seeks to stem pollution and traffic congestion by prohibiting vehicles from being driven one day each week. To our knowledge, ours is the first study to focus directly on using stated preference methods to isolate and estimate the private costs of an existing environmental regulation.

In this paper, we explore the synergies and tradeoffs between abatement of global and local pollution. We build a unique dataset of Swedish combined heat and power plants with detailed boiler-level data 2001–2009 on not only production and inputs but also on emissions of \hbox {CO}_{2} and \hbox {NO}_{\mathrm{x}}. Both pollutants are regulated by strict policies in Sweden. \hbox {CO}_{2} is subject to the European Union Emission Trading Scheme and Swedish carbon taxes; \hbox {NO}_{\mathrm{x}}—as a precursor of acid rain and eutrophication—is regulated by a heavy fee.

We conduct a randomised controlled trial of an online course in mindfulness. Previous research has found evidence that mindfulness reduces stress; however, few studies have been carried out on non-clinical populations that have not self-selected into or paid for treatment. Our sample consists of 139 students with no pre-existing medical conditions and no prior information on the experiment and treatments. Half of them are asked to follow a four-week mindfulness training, while the other half are asked to watch a fourweek series of historical documentaries.

In order to understand the extent of the information barrier to adoption of a household technology, we designed a randomized controlled trial on willingness to pay (WTP) for solar lanterns in India. We gave high quality solar lanterns to randomly selected `seed' households in a non-electri ed region of the state of Uttar Pradesh. Three friends of the seed household were randomly assigned to one of the following three groups: control, passive learning and incentivized communication. We elicit WTP from the control group when the seed receives the solar lantern.

We use a dynamic system GMM regression on ve rounds of panel data to estimate the impact of international remittances on consumption of urban Ethiopian households, who spend more than 70% of their consumption budget on food. Results suggest that international remittances play a signi cant role in augmenting household consumption. A 1% increase in remittances from abroad leads to a 0.10% increase in household consumption.