Rural Population Growth, 1950–1990: The Roles of Human Capital, Industry Structure, and Government Policy

Human capital raises rural incomes, but this effect is swamped by higher returns to human capital in urban markets. This leads to "brain drain" from rural areas. Populations grow more rapidly in rural counties that have a diversified employment base. Farm population grows faster (or declines more slowly) in counties with relatively high farm income, and nonfarm populations grow faster in counties with relatively high nonfarm income. However, higher farm incomes lead to slower nonfarm population growth and vice versa. Rural county government services financed by local taxes or debt have neutral or negative effects on population growth.     

Analysis of Beef Producers' Risk Management Perceptions and Desire for Further Risk Management Education

Beef cattle producers were surveyed in Texas and Nebraska to investigate perceptions of sources of risk, the effectiveness of risk management strategies, and interest in further risk management education, particularly production risk, using probit analysis. Important decision variables identified are age, prior use of risk management tools, previous attendances of risk management education, and risk aversion. Severe drought and cattle price variability are identified as primary risk factors with potential to affect farm income. Extremely cold weather and disease are of less importance. Understocking pasture and storing hay are perceived most effective as risk management options.     

Does an Industry Effect Exist for Initial Public Offerings?

We examine the impact of initial public offerings (IPOs) on rival firms and find that the valuation effects are insignificant. This insignificant reaction can be explained by offsetting information and competitive effects. Significant positive information effects are associated with IPOs in regulated industries and the first IPO in an industry following a period of dormancy. Significant negative competitive effects are associated with larger IPOs in competitive industries, those in relatively risky industries, those in high‐performing industries, and those in the technology sector. IPO firms that use the proceeds for debt repayment appear to represent a more significant competitive threat to rival firms relative to IPO firms that use their proceeds for other purposes.     

The Effects of Participation and Job-Relevant Information on the Relationship Between Evaluative Style and Job Satisfaction

This study investigates the intervening effects of budgetary participation and job-relevant information on the relationship between budget emphasis and job satisfaction. It proposes that budgetary participation and job-relevant information are endogenous to budget emphasis. Using the path analytical technique and based on a sample of 152 senior managers, the study found that budget emphasis has an insignificant direct effect on job satisfaction, but a strong indirect effect through job-relevant information and budgetary participation. The results also indicate that job-relevant information has an intervening effect on the relationship between participation and job satisfaction.     

Managerial Equity Ownership and the Demand for Outside Directors

This paper examines the linkage between the use of outside directors and managerial ownership. We conjecture there are two linkages: the standard incentive‐alignment demand for monitoring when managers own little stock and an entrenchment‐amelioration demand when managerial stock ownership is high. As a consequence, we predict the association between managerial ownership and board composition will be nonlinear (U‐shaped if the entrenchment effect is sufficiently pronounced). Using UK data, we find that both quadratic and logarithmic models outperform the simple linear relationship assumed in prior research and that the substitution between managerial ownership and board composition is stronger than hitherto supposed.     

Multiple Imputation in Multivariate Problems When the Imputation and Analysis Models Differ

Bayesian multiple imputation (MI) has become a highly useful paradigm for handling missing values in many settings. In this paper, I compare Bayesian MI with other methods – maximum likelihood, in particular—and point out some of its unique features. One key aspect of MI, the separation of the imputation phase from the analysis phase, can be advantageous in settings where the models underlying the two phases do not agree.