On the Potential Efficiency of Market Socialism

Author(s):  
James A. Yunker
Author(s):  
Samuel Freeman

This introductory chapter begins with a discussion of liberalism, which is best understood as an expansive, philosophical notion. Liberalism is a collection of political, social, and economic doctrines and institutions that encompasses classical liberalism, left liberalism, liberal market socialism, and certain central values. This chapter then introduces subsequent chapters, which are divided into three parts. Part I, “Liberalism, Libertarianism, and Economic Justice,” clarifies the distinction between classical liberalism and the high liberal tradition and their relation to capitalism, and then argues that libertarianism is not a liberal view. Part II, “Distributive Justice and the Difference Principle,” analyzes and applies John Rawls’s principles of justice to economic systems and private law. Part III, “Liberal Institutions and Distributive Justice,” focuses on the crucial role of liberal institutions and procedures in determinations of distributive justice and addresses why the first principles of a moral conception of justice should presuppose general facts in their justification.


Author(s):  
Jan Abel Olsen

This chapter seeks to explain why most people prefer to have a health insurance plan. Two types of uncertainty give rise to the demand for financial protection: people do not know if they will ever come to need healthcare, and they do not know the full financial implications of illness. Health insurance would take away—or at least reduce—such financial uncertainties associated with future illnesses. A model is presented to show the so-called welfare gain from health insurance. This is followed by an investigation into the potential efficiency losses of health insurance, due to excess demand for services. In the last section, a different efficiency problem is discussed: when people have an incentive to signal ‘false risks’, this can lead to there being no market for insurance contracts which reflect ‘true risks’.


2013 ◽  
Vol 1040 ◽  
pp. 192-205 ◽  
Author(s):  
C. Surendra Dilip ◽  
V. Siva Kumar ◽  
S. John Venison ◽  
I. Vetha potheher ◽  
D. Rajalaxmi (a) Subahashini

1989 ◽  
Vol 6 (2) ◽  
pp. 139-159 ◽  
Author(s):  
Daniel Shapiro

The socialist calculation debate is a debate about whether rational economic decisions can be made without markets, or without markets in production goods. Though this debate has been simmering in economics for over 65 years, most philosophers have ignored it. This may be because they are unaware of the debate, or perhaps it is because they have absorbed the conventional view that one side decisively won. This is the side represented by economists such as Oskar Lange and Fred Taylor who, in opposition to free-market economists like Fredrich Hayek, allegedly showed that their version of market socialism is, in principle, as efficient as capitalism.


Author(s):  
James A. Westfall ◽  
Andrew J. Lister ◽  
John W. Coulston ◽  
Ronald E. McRoberts

Post-stratification is often used to increase the precision of estimates arising from large-area forest inventories with plots established at permanent locations. Remotely sensed data and associated spatial products are often used for developing the post-stratification, which offers a mechanism to increase precision for less cost than increasing the sample size. While important variance reductions have been shown from post-stratification, it remains unknown where observed gains lie along the continuum of possible gains. This information is needed to determine whether efforts to further improve post-stratification outcomes are warranted. In this study, two types of ‘optimal’ post-stratification were compared to typical production-based post-stratifications to estimate the magnitude of remaining gains possible. Although the ‘optimal’ post-stratifications were derived using methods inappropriate for operational usage, the results indicated that substantial further increases in precision for estimates of both forest area and total tree biomass could be obtained with better post-stratifications. The potential gains differed by the attribute being estimated, the population being studied, and the number of strata. Practitioners seeking to optimize post-stratification face challenges such as evaluation of numerous auxiliary data sources, temporal misalignment between plot observations and remotely sensed data acquisition, and spatial misalignment between plot locations and remotely sensed data due to positional errors in both data types.


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