Three Essays On Economic Behavior Under Uncertainty Theory And Empirical Evidences

This first volume in a three-volume exposition of Shubik's vision of "mathematical institutional economics" explores a one-period approach to economic exchange with money, debt, and bankruptcy. This is the first volume in a three-volume exposition of Martin Shubik's vision of "mathematical institutional economics"--a term he coined in 1959 to describe the theoretical underpinnings needed for the construction of an economic dynamics. The goal is to develop a process-oriented theory of money and financial institutions that reconciles micro- and macroeconomics, using as a prime tool the theory of games in strategic and extensive form. The approach involves a search for minimal financial institutions that appear as a logical, technological, and institutional necessity, as part of the "rules of the game." Money and financial institutions are assumed to be the basic elements of the network that transmits the sociopolitical imperatives to the economy. Volume 1 deals with a one-period approach to economic exchange with money, debt, and bankruptcy. Volume 2 explores the new economic features that arise when we consider multi-period finite and infinite horizon economies. Volume 3 will consider the specific role of financial institutions and government, and formulate the economic financial control problem linking micro- and macroeconomics.

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

My dissertation looks at the new and growing field of macroeconomic uncertainty. It consists of three empirical essays on different measures of macroeconomic uncertainty and how uncertainty affects macroeconomic behavior. The first essay uses a new uncertainty index from Baker et al. (2012). We evaluate the time-varying correlation between macroeconomic uncertainty, inflation, and output. Estimation results from a multivariate DCC-GARCH model reveal that the sign of the correlation between macroeconomic uncertainty and inflation changed from negative to positive during the late 1990s, whereas the correlation between uncertainty and output is consistently negative. In the second essay, we propose domestic uncertainty shocks may serve as a channel through which business cycles are transmitted internationally. To quantify uncertainty, we use two measures from the current literature and estimate structural vector autoregressions to evaluate the effects U.S. uncertainty shocks have on the Japanese and British economies. Our results suggest U.S. uncertainty shocks have international effects consistent with a demand shock in the context of an open-economy IS/LM model with sticky prices. For the final essay we estimate a number of macroeconomic variables as logistic smooth transition autoregressive (LSTAR) processes with uncertainty as the transition variable. Nonlinear estimation allows us to answer several interesting questions left unanswered by a linear model. For a number of important macroeconomic variables, we show (i) a positive shock to uncertainty has a greater effect than a negative shock, and (ii) the effect of the uncertainty shock is highly dependent on the state of the economy. Hence, the usual linear estimates concerning the consequences of uncertainty are underestimated in circumstances such as the recent financial crisis.