The Impact of Employment on Parental Coresidence

We examine the extent to which parents use housing and shared living arrangements as a form of risk‐sharing for their adult children, using detailed data on children and parents in the Health and Retirement Study for 1998–2012. On average, a young man moving from full‐time to nonemployment raises the likelihood of coresiding with a parent by 1.5 percentage points; moving from full‐time employment to being part‐time employed raises the likelihood of coresiding with a parent by 2 percentage points. The implied elasticity of parental coresidence with respect to the son's income is ‐1.1; for daughters, the elasticity is ‐0.5.     

A Bayesian analysis of a variance decomposition for stock returns

We apply Bayesian methods to study a common vector autoregression (VAR)-based approach for decomposing the variance of excess stock returns into components reflecting news about future excess stock returns, future real interest rates, and future dividends. We develop a new prior elicitation strategy, which involves expressing beliefs about the components of the variance decomposition. Previous Bayesian work elicited priors from the difficult-to-interpret parameters of the VAR. With a commonly used data set, we find that the posterior standard deviations for the variance decomposition based on these previously used priors, including “non-informative” limiting cases, are much larger than classical standard errors based on asymptotic approximations. Therefore, the non-informative researcher remains relatively uninformed about the variance decomposition after observing the data. We show the large posterior standard deviations arise because the “non-informative” prior is implicitly very informative in a highly undesirable way. However, reasonably informative priors using our elicitation method allow for much more precise inference about components of the variance decomposition.     

The approximation capabilities of the minflex-Laurents,translog, and generalized Leontief forms

This paper compares the approximation capabilities of the minflex-Laurents translog and minflex generalized Leontief cost functions with their translog and generalized Leontief counterparts in Monte Carlo experiments. The minflex Laurent specifications generally provided closer approximations to underlying technical and economic parameters. Imposition of nonlinear restrictions on some of the parameters of the minflex Laurent models yielded measurable improvement in estimated elasticities of substitutions, returns to scale, and rates of technical change.The refereeing process of this paper was handled through E. Appelbaum.     

Software innovativeness: outcomes on project performance, knowledge enhancement, and external linkages

The purpose of this study is to investigate the relationship between product innovativeness and groups of outcomes flowing from the computer software product development process and the associated knowledge acquisition process. Data from interviews of managers in 94 software projects are analysed, and three groups of outcomes are measured: project performance, knowledge enhancement, and the strengthening of linkages to external actors/sources. The high innovative products show higher project performance for all measures of project performance compared with low innovative products. Similar results were found for all measures of personnel knowledge enhancement outcomes. Changes in the importance of linkages to nine different external sources of knowledge used by the firms during the knowledge acquisition process, also show some positive outcomes with respect to rising innovativeness levels. Strengthening of external linkages is found for 66% of the investigated linkages between one or two innovativeness levels. Of these, the linkages to hardware manufacturers, co-operation partners, and universities and other research institutions show strengthening when high innovativeness products are compared with low-level products. As the project performance and knowledge enhancement outcomes are due, in part, to knowledge gained within linkages to external actors/sources, managers could consider whether giving special attention to managing these linkages would be a winning innovation strategy for their particular firm.     

Choice of Distribution System in the New Zealand Life Insurance Industry

Using 1988–93 panel data drawn from the New Zealand life insurance industry, this paper examines empirically the notion that the choice of distribution system is an efficient contracting solution to incentive conflicts between owners, managers and sales agents in life insurance firms. Consistent with what was hypothesised, the empirical results suggest that choice of distribution system is distinguished by organisational form, firm size, and sales commission. However, contrary to expectations, the variables representing product diversity and asset specificity were found not to be statistically significant. The empirical results thus lend mixed support for prior predictions.     

Procedures for revising management judgments forecasts

Forecast improvement is often approached by attempting to find the “best” model for a given situation. Less attention has been paid to the possibility of examining past prediction errors for patterns that may suggest forecast adjustments for the future. This empirical study involves one firm’s management judgment forecasts for product sales and the attempts made to improve their accuracy by removing certain types of bias. In three of the five series examined, error reduction averaging close to thirty percent occurs as a result of the adjustment procedure. The other two series proved to be relatively free from bias and were therefore not in need of the correction method described.     

Industrial property letting: Traditional v radical approaches

Following the earlier article on GLC and GLEB property letting, this contribution argues that an industrial lettings policy is inadequate for the promotion of good employment practices and sector strategy.     

Dividend Omissions and Intraindustry Information Transfers

We examine potential information transfers from companies that announce dividend omissions to their industry rivals. Specifically, we examine the abnormal stock returns and abnormal earnings forecast revisions of rivals after a company makes a dividend‐omission announcement. Our results show negative and significant abnormal stock returns and negative and significant abnormal forecast revisions for rival companies in response to the announcement, and a significant and positive relation between the two. We conclude that a dividend‐omission announcement transmits unfavorable information across the announcing company's industry that affects cash flow expectations and ultimately stock prices.     

An objective Bayesian analysis of common stochastic trends in international stock prices and exchange rates

This paper uses Bayesian methods to analyze unit root and cointegration properties of two different finance data sets. Avoiding the use of subjective prior information, the paper surveys and utilizes several different objective Bayesian methodologies in an investigation of common stochastic trends in international stock markets and in spot and forward exchange rates for several different countries.