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The merits of alternative income tax policies depend on the population distribution of preferences for income, leisure, and public goods. Standard theory, which supposes that persons want more income and more leisure, does not predict how they resolve the tension between these desires. Empirical studies of labor supply have been numerous but have not shed much light on the matter. A persistent problem is that empirical researchers have imposed strong preference assumptions that lack foundation. This paper examines anew the problem of inference on preferences and considers the implications for comparison of tax policies. I first perform a basic revealed-preference analysis that imposes no assumptions on the preference distribution beyond the presumption that persons prefer more income and leisure. This shows that observation of a person's labor supply under a status quo tax policy may bound his labor supply under a proposed policy or may have no implications, depending on the shapes of the two tax schedules and the location of status quo labor supply. I next explore the identifying power of two assumptions restricting the population distribution of income-leisure preferences. One assumes that groups of persons who face different choice sets have the same distribution of preferences, while the other adds restrictions on the shape of this distribution. I then address utilitarian policy comparison with partial knowledge of preferences. Partial knowledge of preferences implies partial knowledge of the welfare function. Hence, it may not be possible to rank policies.
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Attempting to shed light on the optimal size of government, economists have analyzed planning problems that specify a set of feasible taxation-spending policies and a social welfare function. The analysis characterizes the optimal policy choice of a planner who knows the welfare achieved by each policy. This paper examines choice of size of government by a planner who has partial knowledge of population preferences and the productivity of spending. This is a problem of decision making under ambiguity. Focusing on income-tax financed public spending for infrastructure that aims to enhance productivity, I examine scenarios where the planner observes the outcome of a status quo policy and uses various decision criteria (expected welfare, maximin, Hurwicz, minimax-regret) to choose policy. The analysis shows that the planner can reasonably choose a wide range of spending levels—thus, a society can rationalize having a small or large government. I conclude that to achieve credible conclusions about the desirable size of government, we need to vastly improve current knowledge of population preferences and the productivity of public spending.
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The merits of alternative income tax policies depend on the population distribution of preferences for income, leisure, and public goods. Standard theory, which supposes that persons want more income and more leisure, does not predict how they resolve the tension between these desires. Empirical studies of labor supply have been numerous but have not shed much light on the matter. A persistent problem is that empirical researchers have imposed strong preference assumptions that lack foundation. This paper examines anew the problem of inference on preferences and considers the implications for comparison of tax policies. I first perform a basic revealed-preference analysis that imposes no assumptions on the preference distribution beyond the presumption that persons prefer more income and leisure. This shows that observation of a person's labor supply under a status quo tax policy may bound his labor supply under a proposed policy or may have no implications, depending on the shapes of the two tax schedules and the location of status quo labor supply. I next explore the identifying power of two assumptions restricting the population distribution of income-leisure preferences. One assumes that groups of persons who face different choice sets have the same distribution of preferences, while the other adds restrictions on the shape of this distribution. I then address utilitarian policy comparison with partial knowledge of preferences. Partial knowledge of preferences implies partial knowledge of the welfare function. Hence, it may not be possible to rank policies.
Choose an application
Attempting to shed light on the optimal size of government, economists have analyzed planning problems that specify a set of feasible taxation-spending policies and a social welfare function. The analysis characterizes the optimal policy choice of a planner who knows the welfare achieved by each policy. This paper examines choice of size of government by a planner who has partial knowledge of population preferences and the productivity of spending. This is a problem of decision making under ambiguity. Focusing on income-tax financed public spending for infrastructure that aims to enhance productivity, I examine scenarios where the planner observes the outcome of a status quo policy and uses various decision criteria (expected welfare, maximin, Hurwicz, minimax-regret) to choose policy. The analysis shows that the planner can reasonably choose a wide range of spending levels--thus, a society can rationalize having a small or large government. I conclude that to achieve credible conclusions about the desirable size of government, we need to vastly improve current knowledge of population preferences and the productivity of public spending.
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