Exploring entrepreneurial intention among engineering students in India: a multiple basket approach

International Journal of Technology and Design Education - In the light of Bandura’s (Social foundations of thought and action: a social cognitive perspective, Princeton-Hall, Englewood...     

Growth of Real GDP and Total Factor Productivity in Asia with an Emphasis on Malaysian Growth

Atlantic Economic Journal - This paper estimates growth models for a panel of 15 Asian countries during 40-plus years from the early 1970s to 2014. The focus then shifts to Malaysia for which an...     

The Effect of the Adoption of a Pro‐Women Domestic Violence Policy on Dowry Violence: Empirical Evidence from India

Dowry violence against women in India is among the highest in the world. In 2005, India enacted the Protection of Women from Domestic Violence Act (PWDVA) to help female victims of domestic violence. I develop a model of domestic violence and evaluate the effects of the PWDVA on dowry violence. I estimate an empirical model of dowry violence using district level data from 2001–2012. I find that in the post‐policy period, the reporting rate of harassment for dowry has significantly increased in north and central India where female leadership is high. In these districts, dowry deaths have also declined significantly.     

The future of fintech

This article describes the growing field of financial technology (fintech) and the different financial paradigms and technologies that support it. Fintech is primarily a disintermediation force where disruptive technologies are the drivers. This framework discusses 10 primary areas in fintech comprising a taxonomy, which categorizes research in the field and also proposes a pedagogical structure. Pitfalls of fintech are also analyzed. Overall, the great strides made in computing technology, mathematics, statistics, psychology, econometrics, linguistics, cryptography, big data, and computer interfaces have combined to create an explosion of fintechs.     

Trade Union Growth and Decline in Asia

We examine trends in union density and union influence in several Asian countries. Though we find variation in union density, all countries experienced union decline in the 1990s. Asian countries also vary on our new union influence measure. We use a logics of action framework to examine the institutional context surrounding union growth, decline and influence in each country. Based on our examination of how these institutional contexts are changing, and what we know about the strategies of unions, we are not hopeful regarding the near term prospects for reversing union decline.     

Nonparametric Estimation of Sample Selection Models

Sample selection models provide an important way of accounting for economic decisions that combine discrete and continuous choices and of correcting for nonrandom sampling. Nonparametric estimators for these models are developed in this paper. These can be used for estimating shapes and important economic quantities, as in standard nonparametric regression. Endogeneity of regressors of interest is allowed for. Series estimators for these models are developed, which are useful for imposing additivity restrictions that arise from selection corrections. Convergence rates and asymptotic normality results are derived. An application to returns to schooling among Australian young females is given.     

Functional coefficient instrumental variables models

We consider estimation of nonparametric structural models under a functional coefficient representation for the regression function. Under this representation, models are linear in the endogenous components with coefficients given by unknown functions of the predetermined variables, a nonparametric generalization of random coefficient models. The functional coefficient restriction is an intermediate approach between fully nonparametric structural models that are ill posed when endogenous variables are continuously distributed, and partially linear models over which they have appreciable flexibility. We propose two-step estimators that use local linear approximations in both steps. The first step is to estimate a vector of reduced forms of regression models and the second step is local linear regression using the estimated reduced forms as regressors. Our large sample results include consistency and asymptotic normality of the proposed estimators. The high practical power of estimators is illustrated via both a Monte Carlo simulation study and an application to returns to education.     

A Skew‐normal copula‐driven GLMM

This paper presents a method for fitting a copula‐driven generalized linear mixed models. For added flexibility, the skew‐normal copula is adopted for fitting. The correlation matrix of the skew‐normal copula is used to capture the dependence structure within units, while the fixed and random effects coefficients are estimated through the mean of the copula. For estimation, a Monte Carlo expectation–maximization algorithm is developed. Simulations are shown alongside a real data example from the Framingham Heart Study.     

Small asymmetric fractional factorial plans for main effects and specified two-factor interactions

Fractional factorial plans represented by orthogonal arrays of strength two are known to be optimal in a very strong sense under a model that includes the mean and all the main effects, when all interactions are assumed to be absent. When a fractional factorial plan given by an orthogonal array of strength two is not saturated, one might think of entertaining some two-factor interactions also in the model. In such a situation, it is of interest to examine which of the two-factor interactions can be estimated via a plan represented by an orthogonal array, as also to study the overall efficiency of the plan when some interactions are in the model alongwith the mean and all main effects. In this paper, an attempt has been made to examine these issues by considering some practically useful plans for asymmetric (mixed level) factorials with small number of runs.