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AbstractWe study product line choice allowing for cost asymmetries but ruling out strategic motivations such as a desire to soften competition. We identify two forces that interact with asymmetric competition to shape equilibrium product lines. Possible outcomes range from head‐to‐head competition to complete separation of product lines and include the intermediate case of partial separation. In an international trade context, we predict which qualities a disadvantaged foreign producer will specialize in. If cost factors drive quality‐based discrimination then foreign firms sell only lower qualities. However, if demand factors are the main drivers then foreign firms sell only high qualities.

We propose a framework for analyzing transformations of demand. Such transformations frequently stem from changes in the dispersion of consumers' valuations, which lead to rotations of the demand curve. In many settings, profits are a U-shaped function of dispersion. High dispersion is complemented by niche production, and low dispersion is complemented by mass-market supply. We investigate numerous applications, including product design; advertising, marketing and sales advice; and the construction of quality-differentiated product lines. We also suggest a new taxonomy of advertising, distinguishing between hype, which shifts demand, and real information, which rotates demand.

Firms selling multiple quality-differentiated products frequently alter their product lines when a competitor enters the market. We present a model of multiproduct monopoly and duopoly using a general "upgrades" approach that yields a powerful analytical framework. We provide an explanation for the common strategies of using "fighting brands" and of product line "pruning." The optimal strategy depends on whether entry prompts an incumbent to expand or contract its total output. We also present a general condition that guarantees that a monopolist will sell but a single product. Our model addresses other issues, including intertemporal price discrimination and "damaged goods."

Abstract
Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.

The Economic Case for Nature is part of a series of papers by the World Bank that lays out the economic rationale for investing in nature and recognizes how economies rely on nature for services that are largely underpriced. This report presents a first-of-its-kind global integrated ecosystem-economy modelling exercise to assess economic policy responses to the global biodiversity crisis. Modeling the interaction between nature's services and the global economy to 2030, the report points to a range and combination of policy scenarios available to reduce the impact of nature's loss on economies. This modeling framework represents an important steppingstone towards 'nature-smart' decision-making, as it seeks to support policymakers who face complex tradeoffs involving the management of natural capital, and hence achieving growth that is resilient and inclusive.