The Effect of Multiknowledge Individuals on Performance in Cross‐Functional New Product Development Teams*

This study examines the effect of multiknowledge individuals (especially those possessing both marketing and technological knowledge) on performance in cross‐functional new product development teams. A survey of 62 cross‐functional teams shows that the proportion of multiknowledge individuals has an indirect positive effect through information sharing on product innovativeness and a direct positive effect on time efficiency of new product development teams.     

Robust Measures of Earnings Surprises

Event studies of market efficiency measure earnings surprises using the consensus error (CE), given as actual earnings minus the average professional forecast. If a subset of forecasts can be biased, the ideal but difficult to estimate parameter‐dependent alternative to CE is a nonlinear filter of individual errors that adjusts for bias. We show that CE is a poor parameter‐free approximation of this ideal measure. The fraction of misses on the same side (FOM), which discards the magnitude of misses, offers a far better approximation. FOM performs particularly well against CE in predicting the returns of U.S. stocks, where bias is potentially large.     

Country asymmetry,trade agreements,and transfers

Using a standard 2 × 2 trade agreement model, I show that the welfare effects of a free trade agreement (FTA) depend on the asymmetry on supply and demand functions. When countries are sufficiently asymmetric with respect to the size or the demand functions, the small country tends to be better off, while the large country is worse off. Thus, the small country must compensate the large country for the FTA to be incentive‐compatible. However, in the presence of sufficient asymmetry in the supply functions, the small country is worse off, while the bigger is better off. In this case, the transfer must flow from the large to the small country. This last finding helps explain why some FTAs between rich and poor countries provide for adjustment transfers to the latter.     

Optimal mixed taxation,credit constraints,and the timing of income tax reporting

We study optimal income and commodity tax policy with credit‐constrained low‐income households. Workers receive an even flow of income during the tax year, but report their incomes and make tax payments (receive transfers) at the end of the year. They spend their disposable income on multiple commodities over the year. We show that differentiated subsidies on commodities can be optimal even if the Atkinson–Stiglitz Theorem conditions apply. When the optimal policy leaves low‐income households with binding credit constraints, it may be optimal to subsidize differentially the good that they consume in higher proportion. Uniform subsidies would also relax the credit constraint, but would be more costly to the government since they would equally benefit unconstrained households. Numerical examples suggest that commodity tax differentiation increases with basic needs and with the interest rate at which government borrows.     

EMPIRICAL PERFORMANCE OF GARCH MODELS WITH HEAVY‐TAILED INNOVATIONS

We introduce a new type of heavy‐tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten‐Jagannathan‐Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy‐tailed distribution, the Student's t distribution and the normal inverse Gaussian distribution (NIG), using a variety of asset return series. Our results illustrate that there is no overwhelmingly dominant distribution in fitting the data under the GARCH framework, although the NRIG distribution performs slightly better than the other two types of distribution. For market indexes series, it is important to introduce both GJR‐terms and the NRIG distribution to improve the models’ performance, but it is ambiguous for individual stock prices series. Our results also show the GJR‐GARCH NRIG model has practical advantages in quantitative risk management. Finally, the convergence of numerical solutions in maximum‐likelihood estimation of GARCH and GJR‐GARCH models with the three types of heavy‐tailed distribution is investigated.     

DOES SIZE MATTER? THE INFLUENCE OF FIRM SIZE ON WORKING CONDITIONS,JOB SATISFACTION AND QUIT INTENTIONS

Using a detailed survey on Spanish workers, this paper investigates the relationship between firm size and working conditions, the extent to which firm size differences in workers' job satisfaction can be accounted for by differences in their work environment and the impact of firm size on workers' quit intentions. The results indicate that: (1) employees in larger firms face a worse work environment; (2) working in large firms significantly reduces job satisfaction when no controls for working conditions are included, but taking them into account makes differentials across size categories statistically insignificant; and (3) no systematic differences exist in intentions to quit across firm size categories, irrespective of conditioning on wages.     

An equilibrium analysis of information aggregation and fluctuations in markets with discrete decisions

This paper shows how the interaction between decentralized information gathering and discreteness of investment decisions at the individual level can generate random fluctuations in aggregate investment that involve occasionally large allocation errors. This interaction is illustrated in a model in which private information is costly to acquire and prices reveal information. The unique rational expectations equilibrium outcome of the model is shown to always be noisy and characterized by investment levels which may be high simply because uninformed investors are buying under the impression that the high price is a signal of good investment opportunities.     

IFRS Adoption in Emerging Markets: The Case of Jordan

The aim of this study is to research the adoption of International Financial Reporting Standards (IFRS) in Jordan, which was one of the first Middle Eastern emerging economies to adopt IFRS. The paper investigates the related factors that pressure and prevent such adoption over time, and illustrates the developmental aspects of such adoption. An interpretive methodology is employed, and perceptions of the study's participants are analysed regarding the adoption of IFRS in Jordan, which is an area that is under researched. Semi‐structured interviews were undertaken to collect Jordanian experts’ perceptions. Based on the empirical data analysis and prior theoretical and empirical literature, an adoption model was developed, which can serve future studies as well. The model illustrates the paradox of accounting changes in emerging economies, in which the actual conditions that pressure IFRS adoption are also the conditions that prevent full adoption. The model also provides an explanation of the implementation process of IFRS in emerging economies at both country and corporation levels. It combines practical features and related theories in an integrative model seeking to explain the phenomenon of IFRS as a new accounting regulation change.     

SEPARATING EFFICIENCY AND EQUALITY,AUTOMATION, AND PIKETTY'S THEORY OF INCREASING CAPITAL SHARE

Despite disincentive effects, it is more efficient to tackle inequality by general equality promotion policies, including tax/transfers, than by trying to pursue equality in specific issues or policies. The latter policy also has the same degree of disincentive effects as the general policy but has additional distortive effects. While Piketty' concern with inequality is well taken and his proposal to reduce inequality has merits, his argument on the inevitability of increasing capital share under capitalism and the condition of rate of returns to capital being larger than the rate of growth in incomes (r > g) is not correct. (JEL D3, D6, H)