Money is a mystery and financial institutions are often regarded as guardians and promoters of the mystery. These sketches are designed to help any reader interested in, but not technically trained in economics, understand markets, money, credit and the evolution of a mass market system set in the rich context of its political environment and society. We all want a good society. What is a good society is given by our joint vision, mutual respect and social concern but the implementation of the vision calls for the use and understanding of money, markets and finance. The efficient functioning of a dynamic economy calls for the presence of money and financial institutions. The great variety of financial institutions in any advanced economy requires an understanding of what the whole looks like. Verbal description provides an overarching view of the mixture of history, law, philosophy, custom, habit, and political structure that supplies the background for the functioning of the economy. This has been vividly illustrated by Adam Smith, his teacher the Reverend Francis Hutcheson and his close friend David Hume.
There are two different but highly allied themes covered here. The first explains the worth of economic theory and its importance while connecting it with the world of politics in which the economy dwells. The second is the application of economic thought to the operating problems of every society.
The first theme is covered in the first nine chapters. Chapters 1, 2, and 3 supply the rich context of history, society, polity and law in which every economy is embedded. These chapters require no symbols or technical depth to be understood. In contrast Chapters 4 to 9 offer a reasonably nontechnical exposition of some of the considerable development in formal economic theory pertaining to money and financial institutions as economics becomes more scientific, balancing quantitative measures with qualifications that help to explain what the numbers mean.
The second theme is developed in Chapters 10-13 where economic theory with all of its abstractions has to be connected with social and political reality before it can be of use. This calls for both and understanding of physical and social facts, and an appreciation of the role of moral sentiment. Chapters 13 and 14 consider some alternative scenarios that we face in the near future.
This paper provides the first estimates of within-industry heterogeneity in energy and CO2 productivity for the entire U.S. manufacturing sector. We measure energy and CO2 productivity as output per dollar energy input or per ton CO2 emitted. Three findings emerge. First, within narrowly defined industries, heterogeneity in energy and CO2 productivity across plants is enormous. Second, heterogeneity in energy and CO2 productivity exceeds heterogeneity in most other productivity measures, like labor or total factor productivity. Third, heterogeneity in energy and CO2 productivity has important implications for environmental policies targeting industries rather than plants, including technology standards and carbon border adjustments.
Money is a mystery and financial institutions are often regarded as guardians and promoters of the mystery. These sketches are designed to help an individual interested in, but not technically trained in economics, understand markets, money, credit and the evolution of a mass market system embedded in the rich context of its political environment and society.
The efficient functioning of a dynamic economy requires the presence of money and financial institutions. The great variety of financial institutions in any advanced economy requires that a synthetic approach is used to understand what the whole looks like. Verbal description provides an overarching view of the mixture of history, law, philosophy, social mores, and political structure that supplies the context for the functioning of the economy. This has been vividly illustrated by Adam Smith, his teacher the Reverend Francis Hutcheson and his close friend David Hume.
There are two different but highly allied themes in this single slim volume. Chapters 1, 2, and 3 supply the rich context of history, society, polity and law in which every economy is embedded. Chapters 12 and 13 sketch what might lie ahead given the current state of the world. These chapters require no symbols or technical depth. In contrast Chapters 4 to 11 offers a reasonably nontechnical exposition of some of the considerable development in formal economic theory pertaining to money and financial institutions as economics struggles towards emerging as a science, balancing quantitative measures with qualifications that help to explain what the numbers mean.
Nudge and boost are two competing approaches to applying the psychology of reasoning and decision making to improve policy. Whereas nudges rely on manipulation of choice architecture to steer people towards better choices, the objective of boosts is to develop good decision-making competences. Proponents of both approaches claim capacity to enhance social welfare through better individual decisions. We suggest that such efforts should involve a more careful analysis of how individual and social welfare are related in the policy context. First, individual rationality is not always sufficient or necessary for improving collective outcomes. Second, collective outcomes of complex social interactions among individuals are largely ignored by the focus of both nudge and boost on individual decisions. We suggest that the design of mechanisms and social norms can sometimes lead to better collective outcomes than nudge and boost, and present conditions under which the three approaches (nudge, boost, and design) can be expected to enhance social welfare.
We consider estimation and inference on average treatment effects under unconfoundedness conditional on the realizations of the treatment variable and covariates. We derive finite-sample optimal estimators and confidence intervals (CIs) under the assumption of normal errors when the conditional mean of the outcome variable is constrained only by nonparametric smoothness and/or shape restrictions. When the conditional mean is restricted to be Lipschitz with a large enough bound on the Lipschitz constant, we show that the optimal estimator reduces to a matching estimator with the number of matches set to one. In contrast to conventional CIs, our CIs use a larger critical value that explicitly takes into account the potential bias of the estimator. It is needed for correct coverage in finite samples and, in certain cases, asymptotically. We give conditions under which root-n inference is impossible, and we provide versions of our CIs that are feasible and asymptotically valid with unknown error distribution, including in this non-regular case. We apply our results in a numerical illustration and in an application to the National Supported Work Demonstration.
We consider estimation and inference on average treatment effects under unconfoundedness conditional on the realizations of the treatment variable and covariates. Given nonparametric smoothness and/or shape restrictions on the conditional mean of the outcome variable, we derive estimators and confidence intervals (CIs) that are optimal infinite samples when the regression errors are normal with known variance. In contrast to conventional CIs, our CIs use a larger critical value that explicitly takes into account the potential bias of the estimator. When the error distribution is unknown, feasible versions of our CIs are valid asymptotically, even when √n-inference is not possible due to lack of overlap, or low smoothness of the conditional mean. We also derive the minimum smoothness conditions on the conditional mean that are necessary for √n-inference. When the conditional mean is restricted to be Lipschitz with a large enough bound on the Lipschitz constant, the optimal estimator reduces to a matching estimator with the number of matches set to one. We illustrate our methods in an application to the National Supported Work Demonstration.