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M. Canzoneri, Fabrice Collard, Harris Dellas, and B. Diba

vol. 126, n. 590, 2016, pp. 75–108

Fabrice Collard

vol. 6, n. 1, 2016, pp. 139–147

Mark Voorneveld, and Jörgen W. Weibull

vol. 6, 2016, pp. 450–457

Rajiv Sethi, and Jörgen W. Weibull

vol. 63, n. 5, 2016, pp. 526–528

Thomas-Olivier Léautier

vol. 37, n. 2, 2016

This article formally analyzes the various corrective mechanisms that have been proposed and implemented to alleviate underinvestment in electric power generation. It yields three main analytical findings. First, physical capacity certificates markets implemented in the United States restore...

Jorge Peña, Bin Wu, Jordi Arranz, and Arne Traulsen

vol. 12, n. 8, 2016

Fred Schroyen, and Nicolas Treich

vol. 100, November 2016, pp. 46–48

The relationship between wealth and power has long been debated. Nevertheless, this relationship has been rarely studied in a strategic game. In this paper, we study wealth effects in a strategic contest game. Two opposing effects arise: wealth reduces the marginal cost of effort but it also...

Patrick Fève, Tannous Kass-Hanna, and Mario Pietrunti

vol. 148, November 2016, pp. 76–79

This paper provides an analytical characterization of the effects of noisy news shocks on fiscal policy. We consider a small-scale Dynamic Stochastic General Equilibrium (DSGE) model with capital accumulation and endogenous labor supply and show that noise dampens the propagation of anticipated...

Daniel F. Garrett

vol. 106, n. 11, November 2016, pp. 3275–3299

We study the profit-maximizing price path of a monopolist selling a durable good to buyers who arrive over time and whose values for the good evolve stochastically. The setting is completely stationary with an infinite horizon. Contrary to the case with constant values, optimal prices fluctuate...

Raja Chakir, Thibault Laurent, Anne Ruiz-Gazen, Christine Thomas-Agnan, and Céline Vignes

vol. 18, November 2016, pp. 246–262

We consider the problem of land use prediction at di erent spatial scales using point level data such as the Teruti-Lucas (T-L hereafter1) survey and some explanatory variables. We analyze the components of the prediction error using a synthetic data set constructed from the Teruti-Lucas points in...