In the last decades, technologies became more complex which increased the degree of uncertainty in R&D. To overcome the uncertainty, firms frequently engage in R&D collaborations, e.g., Research Joint Ventures (RJVs), and licensing agreements. While RJVs are well explored in the literature, very...

The Dasgupta-Heal-Solow-Stiglitz model of capital accumulation and resource depletion poses the following sustainability problem: is it feasible to sustain indefinitely a level of consumption that is bounded away from zero? We provide a complete technological characterization of the...

We develop a simple model of managing a system subject to pollution damage under risk of an abrupt and random jump in the damage coefficient. The model allows the full dynamic characterization of the optimal emission policies under uncertainty. The results, that imply prudent behavior due to...

We show that the standard Value Function Iteration (VFI) algorithm has difficulties approximating models with jump discontinuities in policy functions. We find that VFI fails to accurately identify the location and size of jump discontinuities while other methods - such as the Endogenous Grid...

We analyze optimal compensation schedules for the directors of two plants belonging to the same owner and producing the same good but serving geographically differentiated markets. Since the outcome of each director depends on his own effort and on a random variable representing market...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. The "curse of dimensionality" is avoided due to four complementary techniques: (1) exploiting...

This paper develops a dynamic programming method when the one-stage deviation principle in the sense of mechanism design literature doesn’t hold. The commonly used dynamic programming method is valid only if the one-stage deviation principle in the sense of mechanism design literature is...

This study investigates the impact of firm-specific discount factors on merger formation and market performance. We estimate firm-specific discount factors for 228 publicly traded and privately held firms operating in the semiconductor market and apply a heterogeneous treatment effects model...

The U.S. and EU Merger Guidelines strongly emphasize the relevance of the "ease of entry" argument in merger evaluations. Up to now, very little is known empirically about how mergers affect entry and exit, and the resulting number of firms in the markets. We empirically test this aspect of...