A COMPARATIVE ANALYSIS OF HOUSEHOLD WEALTH PATTERNS IN FRANCE AND THE UNITED STATES

We find that household wealth is distributed more unequally in the U.S. in 1983 than France in 1986. The Gini coefficient is 0.77 for the U.S. and 0.71 for France. There are also significant differences in the composition of wealth. Owner-occupied housing accounted for half of total assets in France, and only 30 percent in the U.S., while corporate stock and financial securities amounted to 19 percent in the U.S. and 8 percent in France. The debt-equity ratio was 0.13 in France and 0.20 in the U.S. The age-wealth profile in the two countries had the characteristic hump-shape predicted by the life-cycle model, but the profile was much flatter in France and peaked for families aged 50–59 in France, compared to 60–69 in the US.     

The Superstar Inventors and Entrepreneurs: How Were They Educated?

Observations, such as the many celebrated inventive entrepreneurs with minimal schooling, lead to the hypothesis that protracted and rigorous education can impede entrepreneurship. Systematic analysis of biographies of noted inventors and entrepreneurs appears not to support the hypothesis. We do find that with time, entrepreneurial and inventor education increases as technology grows more complex. However, we find at the same time that the educational attainment of inventors has grown more rapidly than that of entrepreneurs and the educational gap has tended to widen over time.     

THE ACCUMULATION OF HOUSEHOLD WEALTH OVER THE LIFE-CYCLE: A MICRODATA ANALYSIS*

In this paper, I investigate the validity of the Modigliani-Brumberg (M-B) model as an explanation of the variation of wealth holdings among households. The model as such, even with the inclusion of estimates of household lifetime earnings, explains only a minute portion of the variation in household wealth. Indeed, for certain groups such as non-white, rural residents, and the low educated, the coefficients of the regression model are insignificant. Moreover, when the top wealth holders are removed from the sample and when non-cash financial and business assets are eliminated from the household portfolios, the explanatory power of the M-B model increases markedly. Essentially, the validity of life-cycle wealth accumulation models must be restricted to the white, urban, educated middle classes and their accumulation of housing, durables, and cash. The rich have very different motives for saving and very different sources of saving, while the poor do not earn sufficient income over their lifetime to accumulate any non-negligible wealth.