Combining two new datasets on sanctions and agricultural trade and implementing step-by-step the latest developments in the empirical structural gravity literature, we investigate the effects of sanctions on international trade of agricultural products. We find that trade sanctions have been...

This paper analyzes socially optimal forest taxation when the government has a binding tax revenue requirement. In the Faustmann model the optimal design of forest taxation consists of non-distortionary taxes, such as site productivity tax, site value tax or profit tax. A combination of...

Papers on optimal harvesting regimes for maximizing land expectation value (LEV) that compare different logging practices often ignore differences in variable costs and in damages on the residual stand between logging practices. We use data on a multi-age, multi-species forest in East-Kalimantan...

The paper uses both the single rotation and ongoing rotation framework to study the impact of yield tax, lump-sum tax, cash flow tax and tax on interest rate earnings on the privately optimal rotation period when forest value growth is stochastic and forest owners are either risk neutral or risk...

Fuelwood collection is often cited as the most important cause of deforestation in developing countries. Use of fuelwood in cooking is a leading cause of indoor air pollution. Using household data from India, we show that households located farther away from the forest spend more time...

We study the evolution of EC merger decisions over the first 25 years of common European merger policy. Using a novel dataset at the level of the relevant antitrust markets and containing all merger cases scrutinized by the Commission over the 1990-2014 period, we evaluate how consistently...

With the rapid expansion of private forest plantations worldwide, their impacts on local development are under scrutiny by NGOs and researchers alike. This study investigates the impacts of private forest plantations on local infrastructure and social services in rural Tanzania. We take a...

Quantifying factors giving rise to temporal variation in forest fires is important for advancing scientific understanding and improving fire prevention. We demonstrate that eighty percent of the large year-to-year variation in forest area burned in California can be accounted for by variation in...

This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

What drives change in a society's values? From Marx to modernization theory, scholars have identified a connection between structural transformation and social change. To understand how changes in a society's dominant mode of production affect its dominant values, we examine the case of the...