Self-selection and intermunicipal migration in Canada

"This paper investigates individual intermunicipal migration behaviour in Canada within the context of a human capital model that adjusts for the migrant's selectivity in computing expected income gains. In addition to the typical regional determinants of migration, housing and labour market characteristics are found to influence intermunicipal migration significantly, the effects differing with age. Structural coefficients remained more or less stable during the decade 1971-1981. It is shown that the failure to adjust income gains for selectivity bias results in an underestimation of the migration-impacts of income gains and municipal-specific factors."     

Spatial Patterns of Inequality and Poverty in Indonesia

The paper uses data from the 1976 Household Expenditure Survey (Susenas) to examine spatial patterns of poverty and inequality in Indonesia. A number of inequality measures are computed for each province (Gini Ratio. Atkinson Index, Theil Index, L-Index) and provincial rankings according to each index are compared. Provinces are also ranked according to a number of poverty indexes, using a poverty line adjusted for differences in price levels, between provinces. The correlation between selected measures of poverty and inequality is also investigated and some implications for regional development policy discussed.     

A reliability engineering approach for forecasting technological breakthroughs

One of the major attributes determining system reliability, the one that has received the most thorough and systematic study for many years, is system survival function. A “survival function” is a mathematical formula relating the probability of satisfactory performance of a system to time. Here, probability of satisfactory performance is synonymous with probability of nonfailure or probability of survival of a performing system.In breakthrough analysis of complex technological systems, the situation is somewhat similar but opposite to the above system reliability case. For breakthrough forecasting, the problem is to determine the probability of occurrence of success of a nonperforming system. Thus this paper presents a quantitative methodology for forecasting technological breakthroughs using a new concept of “attainability function,” derived in a similar fashion as the “reliability function.”     

Does paternity leave matter for female employment in developing economies? Evidence from firm-level data

Analysis using firm-level data for a sample of 33,302 firms in 53 developing countries shows that women’s employment among private firms is significantly higher in countries that mandate paternity leave versus those that do not. A conservative estimate suggests an increase of 6.8 percentage points in the proportion of women workers associated with mandating paternity leave. The empirical specification is immune to spurious correlations that affect the level of women and men employment equally and also robust to a large number of controls for country and firm characteristics.     

INTERNATIONAL COMPARISON OF TOTAL FACTOR PRODUCTIVITY: A REVIEW

Several different approaches to international comparison of Total Factor Productivity (TFP) have now emerged. Among these are the time-series approach, the panel approach, and the cross-section approach. This paper compares methodologies of these different approaches and results that have been obtained from their application. The comparison of results is conducted in the context of two samples, namely the sample of G7 countries and a large sample that includes developing nations. It is found that while there are broad agreements in results, there exist considerable differences too. The analysis shows how these differences can be related, in part, to differences in methodology. The paper also shows how these different approaches to international TFP-comparison can play a complementary role in enhancing our understanding of such important phenomena as technological diffusion and TFP-convergence.     

Ethically Questionable Negotiating: The Interactive Effects of Trust, Competitiveness, and Situation Favorability on Ethical Decision Making

This study explores the direct and interactive effects of individual differences in interpersonal trust and negotiation style on ethical decision-making processes across commonly faced negotiation situations. Individual differences influence basic ideas about legitimate negotiating behaviors, affect behavioral intentions directly, and interact with the favorability of negotiating situations, resulting in direct, indirect, and interactive effects on ethical decision-making processes. Using a sample of 298 participants in executive education workshops, the study analyzes the relationship between interpersonal trust, competitiveness, moral judgment, and behavioral intentions in different negotiating conditions through a series of structural equation models and regression analyses. Our results suggest that individual difference variables exert a significant influence not only on how managers assess the morality of ethically ambiguous negotiation practices but also directly on their behavioral intentions, and that this effect changed across specific negotiation situations. We discuss these results in terms of their usefulness in explaining ethical decision-making processes in negotiations.     

A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best–worst scaling

We review the measurement of product attribute importance, and find little consensus in definition or measurement methods. We compare four measurement methods: 1) two direct methods whereby respondents report the importance of attributes using best–worst scaling or constant sum scales, and 2) two indirect methods derived from discrete choice experiments. Our comparisons rely on previous findings that choice experiments are externally valid to use as the standard. We find high agreement within direct or indirect methods, but less agreement between direct and indirect methods. Our results also demonstrate that inferences derived from indirect measures appear to be susceptible to context effects related to the particular attributes a researcher chooses to investigate. We discuss implications for current and future research.     

A model for stock market returns: non-Gaussian fluctuations and financial factors

While there are various theories to account for the large variations in stock prices, some observed statistical aspects require further analysis. A model is proposed for aggregate stock prices, based on observed data, rather than any efficient market hypothesis, and considering jumps in statistical parameters between phases of generally increasing, or generally decreasing, aggregate stock prices. The model relates a critical parameter for short-term behaviour directly to financial factors, especially interest rates, to explain large short-term variations which follow a non-Gaussian distribution. Economic fundamentals may affect changes over longer periods.