Spurious principal components

The principal component regression (PCR) is often used to forecast macroeconomic variables when there are many predictors. In this letter, we argue that it makes sense to pre-whiten the predictors before including these in a PCR. With simulation experiments, we show that without such pre-whitening, spurious principal components can appear and that these can become spuriously significant in a PCR. With an illustration to annual inflation rates for five African countries, we show that non-spurious principal components can be genuinely relevant in empirical forecasting models.     

Broadband connected employees and labour productivity: a comparative analysis of 14 European countries based on distributed Microdata access

In this study, the association between information and communication technology (ICT) intensity in firms and labour productivity is explored across 14 European countries for the years 2001–2010. ICT intensity is approximated by the proportion of broadband internet-enabled employees, a novel indicator measuring not only adoption but also diffusion within and among firms. Data have been retrieved by means of the distributed microdata approach (DMD) from registers on business, trade and education as well as from surveys on production, ICT usage and innovation activities in firms held at the national statistical offices. This pioneering approach allows access to otherwise confidential linked firm-level information in dimensions not earlier available. Pooled OLS estimations based on approximately 400,000 observations in harmonised and representative datasets show that in a majority of countries there is a significant and positive relationship between the proportion of broadband internet-enabled employees and labour productivity in firms. However, the strength of the relationship varies across countries and industries. Manufacturing firms receive 50% larger estimates than the services firms, while the latter instead experience the positive association more frequently.     

Median‐voter Equilibria in the Neoclassical Growth Model under Aggregation*

We study a dynamic version of Meltzer and Richard's median‐voter model where agents differ in wealth. Taxes are proportional to income and are redistributed as equal lump‐sum transfers. Voting occurs every period and each consumer votes for the tax that maximizes his welfare. We characterize time‐consistent Markov‐perfect equilibria twofold. First, restricting utility classes, we show that the economy's aggregate state is mean and median wealth. Second, we derive the median‐voter's first‐order condition interpreting it as a tradeoff between distortions and net wealth transfers. Our method for solving the steady state relies on a polynomial expansion around the steady state.     

Does it pay off for museums to foster creativity? The complementary effect of innovative visitor experiences

This paper aims to explore the link between creativity orientation, investment in visitors’ experience and operating and funding performance in tourist attractions, taking museums as a case study. The empirical work is based on an analysis of the information provided by a sample of Spanish, French, German, British and American museums. The findings highlight the positive impact of creativity orientation on museums’ operating performance, but show a curvilinear effect on funding performance. The use of new technologies and adaptation to the audience proves positive when seeking to attract visitors.     

Shareholder Protection,Ownership, and Dividends: Russian Evidence

This article investigates the relation between corporate governance mechanisms and dividend policy in Russian firms. Using a sample of Russian listed firms over the period 1998–2003, we estimate models for dividend pay probability and payout size. We find that there has been a significant increase in dividend payout levels which coincide with improvements in legal shareholder protection. State controlled firms are more frequent dividend payers as compared to other majority owned firms. We also find that dual share firms, in which corporate charters protect minority interests, have a higher dividend pay probability; while firms reporting according to US GAAP, which may be less likely to manipulate earnings, have a lower dividend payout.     

Life Expectancy in 2040: What Do Clinical Experts Expect?

We use expert clinical and public health opinion to estimate likely changes in the prevention and treatment of important disease conditions and how they will affect future life expectancy. Focus groups were held including clinical and public health faculty with expertise in the six leading causes of death in the United States. Mortality rates and life tables for 2040 were derived by sex and age. Life expectancy at age 20 and 65 was compared to figures published by the Social Security Administration and to estimates from the Lee-Carter method. There was agreement among all three approaches that life expectancy at age 20 will increase by approximately one year per decade for females and males between now and 2040. According to the clinical experts, 70% of the improvement in life expectancy will occur in cardiovascular disease and cancer, while in the last 30 years most of the improvement has occurred in cardiovascular disease. Expert opinion suggests that most of the increase in life expectancy will be attributable to the already achieved reduction in smoking rates, especially for women.     

Conditional beta pricing models: A nonparametric approach

We propose a two-stage procedure to estimate conditional beta pricing models that allows for flexibility in the dynamics of asset betas and market prices of risk (MPR). First, conditional betas are estimated nonparametrically for each asset and period using the time-series of previous data. Then, time-varying MPR are estimated from the cross-section of returns and betas. We prove the consistency and asymptotic normality of the estimators. We also perform Monte Carlo simulations for the conditional version of the three-factor model of Fama and French (1993) and show that nonparametrically estimated betas outperform rolling betas under different specifications of beta dynamics. Using return data on the 25 size and book-to-market sorted portfolios, we find that the nonparametric procedure produces a better fit of the three-factor model to the data, less biased estimates of MPR and lower pricing errors than the Fama–MacBeth procedure with betas estimated under several alternative parametric specifications.     

What determines stock option contract design?

We analyze the factors that drive exercise price policy for executive option plans (ESOPs) and their scope in a country where firms are not subject to the tax and accounting considerations that seem to have led to the dominance of at-the-money options in the US Our “unbounded” data for Finland provide us with an excellent opportunity to investigate whether contract design is consistent with compensation theory. Our findings are largely consistent with predictions from the optimal contracting literature. The size of the plan is negatively related to Tobin's Q and firm size and positively related to proxies for monitoring costs, which also influence the probability of launching premium ESOPs. Our results also show that the premium (out-of-the-moneyness) is negatively related to prior stock returns and cash flow-to-assets, which may be an indication of high-water mark contracting, or alternatively, of managerial power. Finally, we also find some support for a positive relation between the premium and the length of the vesting period when maturity is fixed, which indicates an effort to keep the incentives for management from falling over time.     

Measures of risk associated to regulations compliance: a laboratory experiment on the use of common-pool resources

The present research examined the influence of different risk perspectives by the use of four different target persons (who could be affected: abstract person, self, specific person, and specific others) and of four different questionnaire answer formats (rating, open percentage, open, and closed frequency) on risk assessments. It was assumed that subjects use two different systems in terms of probabilistic reasoning: a distributional approach for abstract targets leading to higher risk estimates and a singular approach for specific targets leading to lower risk assessments. According to unrealistic optimism (UO) research (showing higher risk assessments for an abstract person than for self), the assumption was that risk assessments for a specific (named) target lead to lower risk assessments compared to an abstract target. Further, common quantitative answer formats for assessing risk were compared to explore differences in risk estimates. The hypotheses were tested using data of a sample of 512 students from a Bavarian university. The frequently confirmed finding of UO could be replicated with both rating scale and open frequency scale, which appeared to be more sensitive compared to the other used scales. However, UO disappeared when the comparison target was specific. Further, risk assessments for an abstract target were highest within every answer format and lowest for specific targets. Furthermore, results revealed that the type of answer format has a moderating effect on the extent of the influence of risk perspective on risk assessments. Overall, this study gives evidence that both the chosen scale and the risk perspective strongly influence risk assessments. Results aim to contribute to the research fields of quantitative assessment of perceived risk. They suggest that probabilistic reasoning in regard to risk not only underlies motivational or cognitive ego-defensive mechanisms but is rather presumably caused by the use of different systems of inferential strategies.     

Epistemic habits: primary school teachers’ development of pedagogical content knowledge (PCK) in a design-based research project

Generalist primary school teachers often have little or no training in school subjects such as science and technology. Not surprisingly, several studies show that they often experience difficulties when teaching these subjects, in fact some primary teachers even avoid teaching them. The over all aim of this study is to contribute to new theoretical and methodological tools for the study of how teachers develop knowledge for teaching, i.e. pedagogical content knowledge (PCK). And based on this, elaborate on implications for the professional development of primary school teachers. The teachers in the study participated in a design-based research project concerning technology education in Grade 1. We were especially interested in whether the teachers displayed any habits that contributed to the development of their personal PCK. We found three significant patterns in how the teachers, together with the researcher, developed knowledge of how to teach a specific topic in technology. We argue that these patterns tell us something about the teachers’ epistemic habits in relation to the teaching of technology. The existence of these habits could help to explain how teachers with little or no experience of teaching a subject can develop relevant PCK.