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A dynamic oligopoly model of the cigarette industry is developed to study the responses of firms to various antismoking policies and to estimate the implications for the policy efficacy. The structural parameters are estimated using a combination of micro and macro level data and firms’ optimal price and advertising strategies are solved as a Markov Perfect Nash Equilibrium. The simulation results show that tobacco tax increase reduces both the overall smoking rate and the youth smoking rate, while advertising restrictions may increase the youth smoking rate. Firm’s responses strengthen the impact of antismoking policies in the short run.

The magnetic field integral equation for electromagnetic scattering from a perfectly conducting body of revolution is solved by the method of moments. A Fourier series in ø is used. The t dependence of the expansion functions is subsectional. Pulses are used for the ø component of the unknown electric current induced on the surface S of the body of revolution. Triangles divided by the cylindrical coordinate radius are used for the t component. Here, t and ø are orthogonal coordinates on S, t being the arc length along the generating curve of S and ø the azimuthal angle.

President, Charles S. Goldman, M.P.; Chairman, Charles Bathurst, M.P.; Vice‐Presidents: Christopher Addison, M.D., M.P., Waldorf Astor, M.P., Charles Bathurst, M.P., Hilaire Belloc, Ralph D. Blumenfeld, Lord Blyth, J.P., Colonel Charles E. Cassal, V.D., F.I.C., the Bishop of Chichester, Sir Arthur H. Church, K.C.V.O., M.A., D.Sc., F.R.S., Sir Wm. Earnshaw Cooper, C.I.E., E. Crawshay‐Williams, M.P., Sir Anderson Critchett, Bart., C.V.O., F.R.C.S.E., William Ewart, M.D., F.R.C.P., Lieut.‐Colonel Sir Joseph Fayrer, Bart., M.A., M.D., Sir Alfred D. Fripp, K.C.V.O., C.B., M.B., M.S., Sir Harold Harmsworth, Bart., Arnold F. Hills, Sir Victor Horsley, M.D., F.R.C.S., F.R.S., O. Gutekunst, Sir H. Seymour King, K.C.I.E., M.A., the Duke of Manchester, P.C., Professor Sir Wm. Osler, Bart., M.D., F.R.S., Sir Gilbert Parker, D.C.L., M.P., Sir Wm. Ramsay, K.C.B., LL.D., M.D., F.R.S., Harrington Sainsbury, M.D., F.R.C.P., W. G. Savage, M.D., B.Sc., R. H. Scanes Spicer, M.D., M.R.C.S., the Hon. Lionel Walrond, M.P., Hugh Walsham, M.D., F.R.C.P., Harvey W. Wiley, M.D., Evelyn Wrench.

Heritability studies attempt to estimate the contribution of genes (vs. environments) to variation in phenotypes (or outcomes of interest) in a given population at a given time. This chapter scrutinizes heritability studies of adverse health phenotypes, emphasizing flaws that have become more glaring in light of recent advances in the life sciences and manifest most visibly in epigenetics.

Drawing on a diverse body of research and critical scholarship, this chapter examines the veracity of methodological and conceptual assumptions of heritability studies.

The chapter argues that heritability studies are futile for two reasons: (1) heritability studies suffer from serious methodological flaws with the overall effect of making estimates inaccurate and likely biased toward inflated heritability, and, more importantly (2) the conceptual (biological) model on which heritability studies depend – that of identifiably separate effects of genes versus the environment on phenotype variance – is unsound. As discussed, contemporary bioscientific work indicates that genes and environments are enmeshed in a complex (bidirectional, interactional), dynamic relationship that defies any attempt to demarcate separate contributions to phenotype variance. Thus, heritability studies attempt the biologically impossible. The emerging research on the importance of microbiota is also discussed, including how the commensal relationship between microbial and human cells further stymies heritability studies.

Understandably, few sociologists have the time or interest to be informed about the methodological and theoretical underpinnings of heritability studies or to keep pace with the incredible advances in genetics and epigenetics over the last several years. The present chapter aims to provide interested scholars with information about heritability and heritability estimates of adverse health outcomes in light of recent advances in the biosciences.