Knowledge that Transforms

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In the United States and Britain, there is a "family gap" between the wages of mothers and other women. Differential returns to marital and parental status explain 40%–50% of the gender gap. Another 30%–40% is explained by women's lower levels of work experience and lower returns to experience. Taking advantage of "quasi experiments" in job‐protected maternity leave in the United States and Britain, this article finds that women who had leave coverage and returned to work after childbirth received a wage premium that offset the negative wage effects of children.

This article uses various micro data sets to study entrepreneurship. Consistent with the existence of capital constraints on potential entrepreneurs, the estimates imply that the probability of self-employment depends positively upon whether the individual ever received an inheritance or gift. When directly questioned in interview surveys, potential entrepreneurs say that raising capital is their principal problem. Consistent with our theoretical model's predictions, the self-employed report higher levels of job and life satisfaction than employees. Childhood psychological test scores, however, are not strongly correlated with later self-employment.

This paper explores the recent explosion in university patenting as a source of insight into the changing relationship between the university and the private sector. Before the mid-1980s, university patents were more highly cited, and were cited by more diverse patents, than a random sample of all patents. More recently several significant shifts in university patenting behavior have led to the disappearance of this difference. Thus our results suggest that between 1965 and 1988 the rate of increase of important patents from universities was much less than their overall rate of increase of patenting.

We estimate how much of the wealth of a sample of respondents to the Panel Study of Income Dynamics is held because some households face more income uncertainty than others. We begin by solving a theoretical model of saving, which we use to develop appropriate measures of uncertainty. We then regress households' wealth on our measures of uncertainty, and find substantial evidence that households engage in precautionary saving. Finally, we simulate the wealth distribution that our empirical results imply would prevail if all households had the same uncertainty as the lowest uncertainty group. We find that between 32 and 50% of wealth in our sample is attributable to the extra uncertainty that some consumers face compared to the lowest uncertainty group.

In recent years a growing number of countries have constructed data series on job creation and job destruction using establishment-level data sets. This paper provides a description and detailed comparison of these new data series for the United States and Canada. Pint, the Canadian and United States industry-level job creation and destruction rates are remarkably similar. Industries with high (low) job creation in the U.S. exhibit high (low) job creation in Canada. The same is true for job destruction. In addition, the overall magnitude of gross job flows in the two countries is comparable. Second, the time-series patterns of creation and destruction are qualitatively similar but do differ in a number of important respects. In both countries, job destruction is much more cyclically volatile than job creation. This cyclical asymmetry is, however, more pronounced in the United States. The paper finishes with a characterization of the job flow patterns using a modified

We study the problem of measuring the uncertainty of computable general equilibrium (CGE) (or RBC)-type model simulations associated with parameter uncertainty. We describe two approaches for building confidence sets on model endogenous variables. The first uses a standard Wald-type statistic. The second approach assumes that a confidence set (sampling or Baycsian) is available for the free parameters, from which confidence sets are derived by a projection technique. The latter has two advantages: first, confidence set validity is not affected by model nonlinearities; second, we can easily build simultaneous confidence intervals for an unlimited number of variables. We study conditions under which these confidence sets take the form of intervals and show how they can be implemented using standard methods for solving CGE models. We present an application to a CGE model of the Moroccan economy to study the effects of policy-induced increases of transfers from Moroccan expatriates.

This paper uses data from the Luxembourg Income Study to explore the role of differences in supply shifts in explaining cross-national differences in the rise in earnings inequality. Changes in returns to age and education are estimated for eight countries using a common specification of earnings functions across years and countries. We find that the small overall increase in earnings inequality in many countries reflects large but offsetting changes in returns to skill and changes in inequality within age education cells. Furthermore, these differences in returns to skill can largely be explained by differences in supply shifts.

Most households persistently invest in riskless assets but not stocks, and may do so because they perceive information required for market participation to be costly relative to expected benefits. In a Consumption Capital Asset Pricing Model (CCAPM) increased risk aversion, income risk, and lower resources reduce the information expense sufficient to deter stockholding. Bivariate probit analysis using the 1983–1989 Survey of Consumer Finances shows that households with lower risk aversion, higher education, and greater wealth who were nonstockholders in 1983 had an increased conditional probability of entering by 1989, whereas 1983 stockholders with lower resources, more limited education, and greater risk aversion were more likely to be nonstockholders by 1989.

In this paper, Markov chain Monte Carlo sampling methods are exploited to provide a unified, practical likelihood-based framework for the analysis of stochastic volatility models. A highly effective method is developed that samples all the unobserved volatilities at once using an approximating offset mixture model, followed by an importance reweighting procedure. This approach is compared with several alternative methods using real data. The paper also develops simulation-based methods for filtering, likelihood evaluation and model failure diagnostics. The issue of model choice using non-nested likelihood ratios and Bayes factors is also investigated. These methods are used to compare the fit of stochastic volatility and GARCH models. All the procedures are illustrated in detail.