Occupations,fields of study and returns to education

This paper considers several possible channels behind the well‐documented effect of education on earnings. The first channel is that education makes workers more productive on a given task, as in a conventional human capital framework. The second channel is based on the idea that education helps workers get assigned to higher‐paying occupations where output is more sensitive to skill. A third and final channel is that workers are more productive and earn more when they are matched to a job related to their field of study. Using data from the 2005 National Graduate Survey and the 2006 Canadian Census, I find that channels two and three account for close to half of the conventionally measured return to education. The results indicate that the return to education varies greatly depending on occupation, field of study and the match between these two factors.     

Do we understand each other? Toward a simulated empathy theory for entrepreneurship

Entrepreneurs often face the daunting task of predicting consumer demand before it exists—what consumers will want if and when the entrepreneur might make it available to them. Such alertness and judgment require an entrepreneur's vicarious imagination—the supposition of what a value experience would be like for another—such as empathy. Prevailing theories of empathy, however, are ill-suited for entrepreneurship theory as they are defined as and focused on an emotion-matching process. We propose that empathy be understood instead as a vicarious mental simulation of another's experience that, when accurate, produces similar emotions but also similar experiential knowledge. According to our ‘simulated empathy theory,’ empathy is a rational imagination process, intentional and knowledge-based. We connect this empathy process to contemporary entrepreneurship theory, namely opportunity recognition and evaluation processes. We also revise the concept of empathic accuracy accordingly, and derive therefrom some practical implications regarding how entrepreneurs can increase their empathic accuracy and, thereby, their chances of success.     

Productivity Dispersion and Measurement Error

Several reasons have been put forward to explain the high dispersion of productivity across establishments: quality of management, different input usage and market distortions, to name but a few. Although it is acknowledged that a sizable portion of productivity dispersion may also be due to measurement error, little research has been devoted to identifying how much they contribute. We outline a novel procedure for identifying the role of measurement error in explaining the empirical dispersion of productivity across establishments. The starting point of our framework is the errors-in-variable model consisting of a measurement equation and a structural equation for latent productivity. We estimate the variance of the measurement error and subsequently estimate the variance of the latent productivity variable, which is not contaminated by measurement error. Using Norwegian data on the manufacture of food products, we find that about one percent of the measured dispersion stems from measurement error.     

Has Dodd–Frank affected bank expenses?

Journal of Regulatory Economics - This paper examines the potential effects of the Dodd–Frank Act of 2010 on banks’ noninterest expenses. Using data on U.S. bank holding companies from...     

Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions

Artificial intelligence is revolutionizing the way we do business. Whereas both the adoption of technological innovations and strategic decision making have been subject to prior research, this experimental study is first to combine both. To understand the impact of choice complexity and cognitive perceptions on the willingness to delegate a strategic decision to an algorithm, we conducted an experiment with 310 participants. We find that although choice complexity has no effect, participants with low levels of situational awareness are more likely to delegate. The findings augment research on choice complexity in decision making by emphasizing the relevance of cognitive perceptions.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

The economics of the super‐multiplier: A comprehensive treatment with labor markets

This paper links the super‐multiplier to Keynesian macroeconomics, showing it to be the most Keynesian of growth perspectives. Next, the paper shows that the super‐multiplier is a micro‐economically coherent theory of investment and capital accumulation. Firms’ decisions regarding capital accumulation coordinate demand and supply growth in goods markets. The paper then explores the implications of incorporating the super‐multiplier in the neo‐Kaleckian and Cambridge growth models. Lastly, it shows how labor markets and unemployment can be added into super‐multiplier models to provide a comprehensive growth model that addresses Solow's (1956, Journal of Economics, 70, 65–94) labor market knife‐edge problem. Incorporating labor markets does not change the fundamental super‐multiplier result that growth is determined by the growth of autonomous demand.     

Training and organisational performance: A meta‐analysis of temporal,institutional and organisational context moderators

Drawing on systems theory, we conducted a moderated meta‐analysis of the training and organisational performance relationship using 119 primary studies. We examined the moderating effects of quality versus quantity of training, time, institutional and organisational context factors in the relationship between training and organisational performance. Our findings reveal that training is positively and directly related to organisational performance with no statistically significant difference between measures of training quality and quantity. We found that the relationship was stronger over time and that country performance orientation and country labour cost moderate the training and organisational performance relationship. We found no evidence for the moderating effects of the three organisational context moderators we examined (i.e. industry sector, organisational size and technology intensity). Finally, our results reveal that training type (i.e. general or firm‐specific) does not moderate the training and organisational performance relationship.