Procedural fairness in lotteries assigning initial roles in a dynamic setting

We extend the study of procedural fairness in three new directions. Firstly, we focus on lotteries determining the initial roles in a two-person game. One of the roles carries a potential advantage over the other. All the experimental literature has thus far focused on lotteries determining the final payoffs of a game. Secondly, we modify procedural fairness in a dynamic—i.e. over several repetitions of a game—as well as in a static—i.e. within a single game-sense. Thirdly, we analyse whether assigning individuals a minimal chance of achieving an advantaged position is enough to make them willing to accept substantially more inequality. We find that procedural fairness matters under all of these accounts. Individuals clearly respond to the degree of fairness in assigning initial roles, appraise contexts that are dynamically fair more positively than contexts that are not, and are generally more willing to accept unequal outcomes when they are granted a minimal opportunity to acquire the advantaged position. Unexpectedly, granting full equality of opportunity does not lead to the highest efficiency.     

Sequential estimation of normal mean under asymmetric loss function with a shrinkage stopping rule

The problem of estimating a normal mean with unknown variance is considered under an asymmetric loss function such that the associated risk is bounded from above by a known quantity. In the absence of a fixed sample size rule, a sequential stopping rule and two sequential estimators of the mean are proposed and second-order asymptotic expansions of their risk functions are derived. It is demonstrated that the sample mean becomes asymptotically inadmissible, being dominated by a shrinkage-type estimator. Also a shrinkage factor is incorporated in the stopping rule and similar inadmissibility results are established. Received September 1997     

Predicting the antecedents of consumers' intention toward purchase of mutual funds: A hybrid PLS-SEM-neural network approach

The current study intends to identify the behavioural antecedents of investors' attitude and investment intention toward mutual funds using a robust SEM-ANN approach. It focuses on novel factors in the purview of the COVID-19 pandemic, increasing digitalization and social media usage. The research outcome indicates that attitude (ATB), awareness (AW) and investment decision involvement (IDI) have a significant positive relation with investment intention (BI). In contrast, perceived barrier (PBR) negatively relates to investment intention. Herd behaviour (HB) and social media influence (SMI) do not influence investment intention toward mutual funds. Moreover, all the tested predictors share direct relation with the attitude toward mutual fund investment, barring perceived risk (PR), which has an inverse relationship. As per the outcome of ANN sensitivity analysis, attitude is the most crucial determinant of investment intention. It is followed by awareness (AW), perceived barriers (PBR) and investment decision involvement (IDI). Among the significant determinants of attitude, self-efficacy (SE) is the most important determinant, followed by perceived usefulness (PU), perceived emergency (PEMER), subjective norms (SN) and perceived risk (PR).     

Strategy-proof club formation with indivisible club facilities

Review of Economic Design - We investigate the strategy-proof provision and financing of indivisible club good facilities when individuals are subject to congestion costs that are non-decreasing in...     

Oil price shock and informal workers in dual labor markets

This paper examines the impact of a rise in oil prices on the wages of workers in the unorganized sector of a developing economy. The model economy is comprised of two non-traded transport sectors, formal and informal, along with other sectors. The main results that we obtain are as follows. The informal transport sector contracts when fuel price rises and lowers the real income of the informal workers. The per-unit return to land rises, and the factor readjustments even raise the output of other sectors in the economy. We also show why inclusion of non-passenger transport services does not alter the main outcomes of the model.     

Pollution Abatement and Production Outsourcing in India

Journal of Industry, Competition and Trade - Production reorganization at the firm level as an outcome of environmental mandates is rarely studied in the literature. This paper shows that when...     

Political connections and bank behaviour

Using disaggregated data on Indian state-owned banks, we study how political connections influence their lending behaviour. The findings indicate an overall credit expansion of 10% during election years for banks with political connections, driven by increased lending to agriculture and Small and Medium Enterprises. Further disaggregation reveals cycles in such lending driven by electoral considerations, primarily for banks with political connections. In turn, there is a gradual weakening in the asset quality of these banks. The net effect is manifest in lower productivity. The key policy implication is that electoral manipulation exerts significant economic costs.