The Impact of R&D Cooperations and Mergers in Pharmaceuticals on Research Activities and Drugs Offered on the Market

In the last 10 years, the pharmaceutical industry has experienced steep, unprecedented price increases which are frequently attributed to increasing drug development costs. To cope with rocketing development costs, companies engage in Research and Development (R&D) cooperations. We study the impact of R&D cooperations on firms' research activities and drugs offered on the market. Using a comprehensive dataset, we find that R&D cooperations formed at the early stage of the drug development process increase the number of R&D projects and the number of drugs offered on the market. Late stage R&D cooperations, formed among larger firms in technology and product markets, increase firms' research activities, but reduce the number of drugs launched on the product market. Results suggest that large firms cooperating in the late research stage re‐optimize their R&D pipelines and eliminate similarly aligned research projects.     

A contribution on the nature and treatment of missing data in large market surveys

Nonresponse (or missing data) is often encountered in large-scale surveys. To enable the behavioural analysis of these data sets, statistical treatments are commonly applied to complete or remove these data. However, the correctness of such procedures critically depends on the nature of the underlying missingness generation process. Clearly, the efficacy of applying either case deletion or imputation procedures rests on the unknown missingness generation mechanism. The contribution of this article is twofold. The study is the first to propose a simple sequential method to attempt to identify the form of missingness. Second, the effectiveness of the tests is assessed by generating (experimentally) nine missing data sets by imposed missing completely at random, missing at random and not missing at random processes, with data removed.     

E-commerce transactions,the installed base of credit cards,and the potential mobile E-commerce adoption

Mobile e-commerce (m-commerce) relaxes consumers’ temporal and geographic purchasing constraints and encourage the establishment of omnichannel markets. It is often argued that rapid increase in smartphone penetration is the primary driver of m-commerce adoption, whereas others contend that early adoption of m-commerce applications are mostly by “relatively heavy” Internet commerce users. Brynjolfsson et al. (2013) argue that rapid increase in smartphone penetration is the primary driver of m-commerce adoption, whereas Einav et al. (2014) contend that early adoption of m-commerce applications are mostly by ‘relatively heavy’ Internet commerce users. This article explores strength of the influences within a nested multiple-service framework, where the reduced-form econometric analysis allows for interdependency between m-commerce and e-commerce services, and the installed base of credit cards. The results reveal a complex situation in which credit cards facilitate e-commerce services, whereas m-commerce adoptions are driven by prior e-commerce and online transaction activity. Also, higher respondent incomes are negatively associated with proposed m-commerce adoption. Surprisingly, privacy concerns do not affect proposed adoption independently; however, an interaction term suggests privacy remains an adoption barrier for the older persons.     

Top Indian Incomes, 1922-2000

This article presents data on the evolution of top incomes andwages for 1922–2000 in India using individual tax returndata. The data show that the shares of the top 0.01 percent,0.1 percent, and 1 percent in total income shrank substantiallyfrom the 1950s to the early to mid-1980s but then rose again,so that today these shares are only slightly below what theywere in the 1920s and 1930s. This U-shaped pattern is broadlyconsistent with the evolution of economic policy in India: Fromthe 1950s to the early to mid-1980s was a period of "socialist"policies in India, whereas the subsequent period, starting withthe rise of Rajiv Gandhi, saw a gradual shift toward more probusinesspolicies. Although the initial share of the top income groupwas small, the fact that the rich were getting richer had anontrivial impact on the overall income distribution. Althoughthe impact is not large enough to fully explain the gap observedduring the 1990s between average consumption growth shown inNational Sample Survey–based data and the national accounts–baseddata, it is sufficiently large to explain a nonnegligible partof it (20–40 percent).     

Caste discrimination in the Indian urban labour market

This, the pioneering quantitative analysis of caste in the Indian urban labour market, examines the age-old problem of caste in the light of discrimination theory and government policy. Using a survey of workers in Delhi, the gross wage difference between ‘scheduled’ (untouchable) and ‘non-scheduled’ caste is decomposed into its ‘explained’ and ‘discrimination’ components and, from a model of occupation choice, into wage- and job-discrimination. Discrimination is found to exist, and to operate at least in part through the traditional mechanism, viz. assignment to jobs, with the scheduled castes entering poorly-paid ‘dead-end’ jobs. It is assisted by methods of recruitment based on contacts, prevalent in the manual occupation, which also cause past discrimination to carry over to the present. Its practice serves the economic interests of those who exercise a taste for discrimination.     

FDI in agricultural land, welfare and unemployment in a developing economy

The paper purports to examine the consequences of foreign direct investment (FDI) in agricultural land in a developing economy using a three-sector general equilibrium model with simultaneous existence of unemployment of both skilled and unskilled labour. The analysis finds that FDI in agriculture does not only improve national welfare unequivocally but also mitigates the unemployment problem of both types of labour. The paper theoretically justifies the desirability of flow of FDI in agriculture in the developing economies.     

Four centuries of British economic growth: the roles of technology and population

Using long historical data for Britain over the period 1620–2006, this paper seeks to explain the importance of innovative activity, population growth and other factors in inducing the transition from the Malthusian trap to the post-Malthusian growth regime. Furthermore, the paper tests the ability of two competing second-generation endogenous growth models to account for the British growth experience. The results suggest that innovative activity was an important force in shaping the Industrial Revolution and that the British growth experience is consistent with Schumpeterian growth theory.     

Exploring the Influence of Celebrity Worship on Brand Attitude,Advertisement Attitude,and Purchase Intention

The celebrity worship considered as an anomalous psychological behavior with major consequences on personality development of an individual is examined with the important constructs of marketing namely, brand attitude, advertisement attitude and purchase intention. The study is carried out with a sample size of 386 respondents. The model is tested using structure equation modeling where celebrity worship is studied by examining its three dimensions individually as well as in aggregate implementing an existing celebrity worship scale. The study reveals some interesting findings with celebrity worship having a direct positive relationship with advertisement attitude and purchase intentions, whereas brand attitude is found to be significantly negatively associated with celebrity worship. The future research scope for the study and its practical implications are discussed based on the findings of the study.     

Panel Data Unit Roots and Cointegration: An Overview

Recent developments in the field of the econometrics of panel data with non-stationary series are reviewed and interpreted. In particular, we discuss tests for unit roots and cointegration, and the roles of mean and variance correction, non-parametric correction and full modification for the construction of these tests and estimators. A discussion of the key contributions of the papers in this special issue is placed within the framework of the current literature and areas for further development are proposed.