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...

We show that an insight from taxation theory allows identification of both the supply and demand elasticities with only one instrument. Ramsey (1928) and subsequent models of taxation assume that a tax levied on the demand side only affects demand through the price after taxation....

In this paper the experimental data collected by Masclet, Montmarquette, and Viennot-Briot (2019a) is revisited in order to study some aspects of the drivers of the declaration rate, not studied in the authors’ article. By using a zero-one inflated beta regression model, a more detailed...

This paper investigates how concealment costs of transfer pricing and the probability of detection affect transfer pricing and firm behavior. We find that transfer pricing in intermediate production factors does not affect real activity of a multinational firm if the firm's concealment effort as...

The view that the transfer pricing problem vanishes under universal destination-based cash flow taxation (DBCFT) is based on how firms behave in perfectly competitive markets. We show that the neutralizing effect DBCFT has on transfer price incentives fails once multinational firms are...

The OECD in its BEPS action plan 4 addresses tax base erosion by profit shifting through the use of tax deductible interest payments. Their main concern is interest deductions between outbound and inbound investment by groups. Studies of multinational firms show that the tax sensitivity of debt...

With greater penetration of renewable generation, the uncertainty faced in electricity markets has increased substantially. Conventionally, generators are assigned a pre-dispatch quantity in advance of real time, based on estimates of uncertain quantities. Expensive real time adjustments then...

We consider an electricity market with two sequential market clearings, for instance representing a day-ahead and a real-time market. When the first market is cleared, there is uncertainty with respect to generation and/or load, while this uncertainty is resolved when the second market is...

We consider an electricity market organized with two settlements: one for a pre-delivery (day-ahead) market and one for real time, where uncertainty regarding production from non-dispatchable energy sources as well as variable load is resolved in the latter stage. We formulate two models to...

Studies have shown that many consumers and businesses fail to invest in energy efficiency improvements despite seemingly ample financial incentives to do so – the so-called energy efficiency gap. Attempts to explain this gap often focus on searching costs, information frictions and behavioral...