So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

世界経済・社会統計 = World development indicators

计量经济分析 = Econometric analysis

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

Integrative analysis of 111 reference human epigenomes

Why does one person actually succeed in starting a business, while a second person gives up? In order to answer this question, a sample of 517 nascent entrepreneurs (people in the process of setting up a business) was followed over a three-year period. After this period, it was established that 195 efforts were successful and that 115 startup efforts were abandoned. Our research focuses on estimating the relative importance of a variety of approaches and variables in explaining pre-startup success. These influences are organized in terms of Gartner’s (Academy of Management Review 10(4), 696–706 [1985]) framework of new venture creation. This framework suggests that start-up efforts differ in terms of the characteristics of the individual(s) who start the venture, the organization that they create, the environment surrounding the new venture, and the process by which the new venture is started. Logistic regression analyses are run for the sample as a whole as well as for subgroups within the sample, namely for those with high ambition vs. low ambition and for those with substantial vs. limited experience. The results point to the importance of perceived risk of the market as a predictor of getting started vs. abandoning the startup effort.

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Success and risk factors in the pre-startup phase

Using Global Entrepreneurship Monitor data for 29 countries this study investigates the (differential) impact of several factors on female and male entrepreneurship at the country level. These factors are derived from three streams of literature, including that on entrepreneurship in general, on female labour force participation and on female entrepreneurship. The paper deals with the methodological aspects of investigating (female) entrepreneurship by distinguishing between two measures of female entrepreneurship: the number of female entrepreneurs and the share of women in the total number of entrepreneurs. The first measure is used to investigate whether variables have an impact on entrepreneurship in general (influencing both the number of female and male entrepreneurs). The second measure is used to investigate whether factors have a differential relative impact on female and male entrepreneurship, i.e. whether they influence the diversity or gender composition of entrepreneurship. Findings indicate ...

/pdf/explaining-female-and-male-entrepreneurship-at-the-country-4swb5udf5n.pdf

Explaining female and male entrepreneurship at the country level

1. Understanding Entrepreneurship across Countries and over Time D. Audretsch, R. Thurik, I. Verheul, S. Wennekers. 2. An Eclectic Theory of Entrepreneurship: Policies, Institutions and Culture I. Verheul, S. Wennekers, D. Audretsch, R. Thurik. 3. Determinants of Entrepreneurship in France C. Henriquez, I. Verheul, I. Van der Geest, C. Bischoff. 4. Determinants of Entrepreneurship in the Netherlands I. Verheul, N. Bosma, M. Van Ginkel, D. Longerbone, R. Prins. 5. Determinants of Entrepreneurship in Germany I. Verheul, G. Leonardo, S. Schuller, J. Van Spronson. 6. Determinants of Entrepreneurship in the United States of America I. Verheul, N. Bosma, F. Van der Nol, T. Wong.

Entrepreneurship : determinants and policy in a European-US comparison

We find new empirical regularities in the business cycle in a cross-country panel of 22 OECD countries for the period 1972 to 2007; entrepreneurship Granger-causes the cycles of the world economy. Furthermore, the entrepreneurial cycle is positively affected by the national unemployment cycle. We discuss possible causes and implications of these findings.

/pdf/entrepreneurship-and-the-business-cycle-3gygeca05q.pdf

Entrepreneurship and the Business Cycle

The relative stability of differences in entrepreneurial activity across countries suggests that other than economic factors are at play. The present paper offers some new thoughts about the determinants of entrepreneurial attitudes and activities by testing the relationship between institutional variables and cross-country differences in the preferences for self-employment as well as in actual self-employment. Data of the 25 member states of the European Union as well as the US are used. The results show that country specific (cultural) variables seem to explain the preference for entrepreneurship, but cannot explain actual entrepreneurship. The present paper also introduces the remaining four papers of the special issue of the Journal of Evolutionary Economics, which center around the theme Entrepreneurship and Culture.

/pdf/entrepreneurship-and-its-determinants-in-a-cross-country-31qydnup1o.pdf

Roy Thurik

Papers

Success and risk factors in the pre-startup phase

Explaining female and male entrepreneurship at the country level

Entrepreneurship : determinants and policy in a European-US comparison

Entrepreneurship and the Business Cycle

Entrepreneurship and its Determinants in a Cross-Country Setting