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Carbon taxes are commonly seen as a rational policy response to climate change, but little is known about their performance from an ex-post perspective. This paper analyzes the emissions and cost impacts of the UK CPS, a carbon tax levied on all fossil-fired power plants. To overcome the problem of a missing control group, we propose a novel approach for policy evaluation which leverages economic theory and machine learning techniques for counterfactual prediction. Our results indicate that in the period 2013-2016 the CPS lowered emissions by 6.2 percent at an average cost of e18 per ton. We find substantial temporal heterogeneity in tax-induced impacts which stems from variation in relative fuel prices. An important implication for climate policy is that a higher carbon tax does not necessarily lead to higher emissions reductions or higher costs.

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Should energy use be lowered by using broad-based taxes or through promoting and mandating energy savings through command-and-control measures and targeted subsidies? We integrate a micro-simulation analysis, based on a representative sample of 9,734 households of the Swiss population, into a numerical general equilibrium model to examine the efficiency and equity implications of these alternative regulatory approaches. We find that at the economy-wide level taxing energy is five times more cost-effective than promoting energy savings. About 36% of households gain under tax-based regulation while virtually all households are worse off under a promotion-based policy. Tax-based regulation, however, yields a substantial dispersion in household-level impacts whereas heterogeneous household types are similarly affected under a promotion-based approach. Our analysis points to important trade-offs between efficiency and equity in environmental policy design.