Our paper proposes an original angle to study the free-rider prob-lem in the provision of public goods when the regulator has no informa-tion about agents' preferences. For a given outcome specically aLindahl allocation we ask what assumptions have to be imposed onsimple mechanisms (in a precisely dened sense) that have the abilityto Nash-implement it. Our answer lies in two main results: i) transfersnecessarily belong to a class of mechanisms that are linear in individualcontributions to the public good; ii) there exists a subset of this classthat fully implements Lindahl allocations. This subset encompasses,but does not reduce to, Walker (1981). We also show that both resultsextend naturally to economies with multiple public goods.
This articles focuses on the recent research efforts to incorporate income, wage and wealth inequality in macroeconomic models. I start by reviewing recent models on the impact of inequality on, on the one hand, long-run growth and, on the other, and macroeconomic fluctuations. The articles then reviews the literature concerned with the macroeconomic determinants of wage and wealth inequality. It concludes by discussing a number of possible avenues of research that seem to me particularly important, such as the impact of macroeconomic policy on distribution or the effect that firm size can have on both growth and wage inequality.
This paper argues that macro models should be as simple as possible, but not more so. Existing models are “more so” by far. It is time for the science of macro to step beyond representative agent, DSGE models and focus more on alternative heterogeneous agent macro models that take agent interaction, complexity, coordination problems and endogenous learning seriously. It further argues that as analytic work on these scientific models continues, policy-relevant models should be more empirically based; policy researchers should not approach the data with theoretical blinders on; instead, they should follow an engineering approach to policy analysis and let the data guide their choice of the relevant theory to apply.
The household transition from dirty to clean fuels is important because of its economic, health and environment consequences, locally, nationally and globally. In order to study fuel choices, a non-separated farm household model for fuel demands is developed. Then, discrete choice equations of fuel uses, consistent with this theoretical model, are estimated using microeconomic household panel data from rural China. The estimation results support the theoretical approach that implies that the fuel demands depend not only on income, fuel prices, and demand-side socioeconomic factors, as would occur in the standard fuel demand models in the literature, but also on food prices, agricultural assets, and original household and community characteristics that shape the household responses to market failures. Finally, we present a few policy simulations that reveal the complex substitution impact of energy price policies in China. We provide the first evidence on: price sensitivity of fuel stacking, that food prices exert some pressure on the fuel transition, the role of farm work and activity specialization in fuel choices. Policies should incorporate some of the complexity of the non-separated decisions of rural households in this context of market failures. The complex cross-price effects imply that the policy pricing mechanisms should account for all energy types and food prices. Finally, market-based policies should be coupled with policy interventions aimed at increasing the opportunity cost of dirty fuels.
