Despite the widespread belief that entrepreneurship is a key factor in economic development, there have been few attempts to develop formal models to analyze the phenomenon. This paper presents a model in which endogenous entrepreneurial activity is a key determinant of economic growth. The theory also differs from standard models in that growth is driven by the imitative activities of entrepreneurs. Previous theories have focused on the direct production of knowledge, underemphasizing the importance of imitation in the growth process. The paper also examines external effects arising from these entrepreneurial activities--effects distinct from those studied by Paul Romer.

Despite the widespread belief that entrepreneurship is a key factor in economic development, there have been few attempts to develop formal models to analyze the phenomenon. This paper presents a model in which endogenous entrepreneurial activity is a key determinant of economic growth. The theory also differs from standard models in that growth is driven by the imitative activities of entrepreneurs. Previous theories have focused on the direct production of knowledge, underemphasizing the importance of imitation in the growth process. The paper also examines external effects arising from these entrepreneurial activities--effects distinct from those studied by Paul Romer.

Interest-bearing checkable deposits are examined to test whether they should be included in measures of the U.S. money stock. Both Divisia and traditional simple-sum aggregates are constructed on the basis of tests for weak separability in a model of the demand for financial assets. Using nonparametric demand analysis, we find that several groups of assets are compatible with aggregation theory. We find empirical support for a narrow measure consisting of the components of current MIA. In tests based on a St. Louis equation and in terms of controllability, a Divisia aggregate performs better than the simple-sum MIA measure.

Almost all recent research on macroeconomic fluctuations has worked with seasonally adjusted or annual data. This paper takes a different approach by treating seasonal fluctuations as worthy of study in their own right. Our results show that seasonal fluctuations are an important source of variation in all macroeconomic quantity variables but are small or entirely absent in both real and nominal price variables. The timing of the seasonal fluctuations consists of increases in the second and fourth quarters, a large decrease in the first quarter, and a mild decrease in the third quarter. The paper demonstrates that, with respect to each of several major stylized facts about business cycles, the seasonal cycle displays the same characteristics as the business cycle, in some cases even more dramatically than the business cycle. That is, we find that at seasonal frequencies as well as at business cycle frequencies, output movements across broadly defined sectors move together, the timing of production and the timing of sales coincide closely, labor productivity is procyclical, nominal money and real output are highly correlated, and prices vary less than quantities. There is a "seasonal business cycle" in the U.S. economy, and its characteristics closely mirror those of the conventional business cycle.

Almost all recent research on macroeconomic fluctuations has worked with seasonally adjusted or annual data. This paper takes a different approach by treating seasonal fluctuations as worthy of study in their own right. Our results show that seasonal fluctuations are an important source of variation in all macroeconomic quantity variables but are small or entirely absent in both real and nominal price variables. The timing of the seasonal fluctuations consists of increases in the second and fourth quarters, a large decrease in the first quarter, and a mild decrease in the third quarter. The paper demonstrates that, with respect to each of several major stylized facts about business cycles, the seasonal cycle displays the same characteristics as the business cycle, in some cases even more dramatically than the business cycle. That is, we find that at seasonal frequencies as well as at business cycle frequencies, output movements across broadly defined sectors move together, the timing of production and the timing of sales coincide closely, labor productivity is procyclical, nominal money and real output are highly correlated, and prices vary less than quantities. There is a "seasonal business cycle" in the U.S. economy, and its characteristics closely mirror those of the conventional business cycle.

We examine an exchange economy with two agents: one risk neutral with a certain endowment and a second risk averse with a random endowment. The realization of the endowment is public but can be falsified by the second agent at a cost. For a broad class of falsification cost functions the optimal no-falsification contract is noncontingent on a left-hand interval and strictly increasing with a slope strictly less than one on a right-hand interval. Under a mild further restriction, optimal no-falsification contracts are, in addition, piece-wise linear. Optimal contracts may in general require falsifying the state, but for a set of the highest endowment realizations there is no falsification. We find simple conditions under which the optimal contract is a no-falsification contract. The model has applications that include financial, insurance, and employment contracts and tax policy.

Interest-bearing checkable deposits are examined to test whether they should be included in measures of the U.S. money stock. Both Divisia and traditional simple-sum aggregates are constructed on the basis of tests for weak separability in a model of the demand for financial assets. Using nonparametric demand analysis, we find that several groups of assets are compatible with aggregation theory. We find empirical support for a narrow measure consisting of the components of current MIA. In tests based on a St. Louis equation and in terms of controllability, a Divisia aggregate performs better than the simple-sum MIA measure.

Unequal access to financing for education may be an important source of educational differences. We develop a model relating sib schooling and earnings similarities to sibship size with and without equal access and estimate it for the education of veterans, for whom the GI Bill assured equal access, and for their children, who had no such government assistance. We find an inverse relationship between sibship size and sib schooling and earnings similarities for the children, but not for the veterans; we conclude that, in the absence of equal access policies, unequal access is an important source of educational differences.

Unequal access to financing for education may be an important source of educational differences. We develop a model relating sib schooling and earnings similarities to sibship size with and without equal access and estimate it for the education of veterans, for whom the GI Bill assured equal access, and for their children, who had no such government assistance. We find an inverse relationship between sibship size and sib schooling and earnings similarities for the children, but not for the veterans; we conclude that, in the absence of equal access policies, unequal access is an important source of educational differences.