Semiparametric binary regression models under shape constraints with an application to Indian schooling data

We consider estimation of the regression function in a semiparametric binary regression model defined through an appropriate link function (with emphasis on the logistic link) using likelihood-ratio based inversion. The dichotomous response variable Δ$\Delta$ is influenced by a set of covariates that can be partitioned as (X,Z)$(X,Z)$ where Z$Z$ (real valued) is the covariate of primary interest and X$X$ (vector valued) denotes a set of control variables. For any fixed X$X$, the conditional probability of the event of interest (Δ=1$\Delta =1$) is assumed to be a non-decreasing function of Z$Z$. The effect of the control variables is captured by a regression parameter β$\beta$. We show that the baseline conditional probability function (corresponding to X=0$X=0$) can be estimated by isotonic regression procedures and develop a likelihood ratio based method for constructing asymptotic confidence intervals for the conditional probability function (the regression function) that avoids the need to estimate nuisance parameters. Interestingly enough, the calibration of the likelihood ratio based confidence sets for the regression function no longer involves the usual χ²${\chi }^2$ quantiles, but those of the distribution of a new random variable that can be characterized as a functional of convex minorants of Brownian motion with quadratic drift. Confidence sets for the regression parameter β$\beta$ can however be constructed using asymptotically χ²${\chi }^2$ likelihood ratio statistics. The finite sample performance of the methods are assessed via a simulation study. The techniques of the paper are applied to data sets on primary school attendance among children belonging to different socio-economic groups in rural India.     

Patent Protection and R&D with Endogenous Market Structure

In a model with endogenous number of innovating firms, we show that whether patent protection increases R&D investment is ambiguous, and depends on the market demand function and the cost of R&D. If the market size increases with number of firms, patent protection reduces R&D investment if the cost of R&D is sufficiently high, and higher product differentiation increases the possibility of lower R&D investment under patent protection. If the market size does not increase with number of firms, patent protection never reduces R&D investment. We find that welfare is lower under patent protection than under no patent protection.     

Generalized R-estimators under conditional heteroscedasticity

In this paper, we extend the classical idea of Rank estimation of parameters from homoscedastic problems to heteroscedastic problems. In particular, we define a class of rank estimators of the parameters associated with the conditional mean function of an autoregressive model through a three-steps procedure and then derive their asymptotic distributions. The class of models considered includes Engel's ARCH model and the threshold heteroscedastic model. The class of estimators includes an extension of Wilcoxon-type rank estimator. The derivation of the asymptotic distributions depends on the uniform approximation of a randomly weighted empirical process by a perturbed empirical process through a very general weight-dependent partitioning argument.     

Unionization structure, licensing and innovation

We show the effects of the unionization structure (viz., decentralized and centralized unions) on a firm's incentive for technology licensing and innovation. The incentive for technology licensing is stronger under decentralized unions. We identify circumstances under which the benefit from licensing creates a stronger incentive for innovation under decentralized unions. If the union's preference for employment is high, the benefit from licensing may create higher incentive for innovation under decentralized unions. However, if the union's preference for wage is high enough, the incentive for innovation is higher under a centralized union irrespective of licensing ex-post innovation. If the centralized union decides whether or not to supply workers to all firms, the possibility of higher innovation under decentralized unions increases. We further show that perfectly substitutable workers can be better off under decentralized unions if the labor productivity depends on the unionization structure, which occurs in our analysis when, e.g., licensing after innovation occurs only under decentralized unions or innovation (with no licensing) occurs only under a centralized union.     

Feasible Estimation of Nonparametric Generalized Random Effect Model: An Application

This paper considers some feasible estimator for nonparametric random effect panel data model when there are more than one cross section component. A brief discussion about the consistency of the estimator is also included. The paper also discusses an interesting application related to capita-labor ratio and its effect on factor share in a neo-classical set up.

     

打击通胀，中国远未能取得胜利

【美国彭博新闻社6月12日】本周，中国主要股市指数发生一日暴跌8．1％的情况，显示投资者已经把目光从食品价格（这是稳定的）转向表面之下潜伏的其他通胀来源。     

Aid,Policies, and Growth in Developing Countries: A New Look at the Empirics

The relationship between foreign aid and economic growth has been the subject of much controversy. A recent theme suggesting that aid promotes growth, but only in a good policy environment has ratcheted up that debate. In this paper, we assess the importance of policy and aid in generating growth when the aid, policy, and growth relationship is nonlinear. This allows us to examine the varying effects of aid and policy in different data segments, which we do without imposing any particular structure on the underlying relationship. We find that policy is an important determinant of growth. We also find partial corroboration of the view that aid is growth enhancing in a good policy environment, and some evidence of diminishing returns to aid. These findings suggest that nonlinearities if not appropriately addressed fail to capture the detailed underlying dynamics and thereby mask some key features of the aid-policy-growth relationship.     

Voting decision-making of low-income consumers: Literature review and research agenda

This review article examines why and how low-income voters decide to vote for a political candidate. A total of 163 articles in the last 80 years (1944–2023) have been identified through a systematic literature review. Thereafter, the fragmented literature has been organized using a fusion of 3W1H and TCCM (Theory, context, characteristics, and method) frameworks to obtain a comprehensive overview of the low-income voters' behaviour. Accordingly, the study has explained the voting contexts of poor consumers. Besides, the fundamental theories and methods employed in this research domain have been identified. This study revealed three characteristics of ‘voting choice’ of low-income consumers (group identity, communication characteristics, and political environment characteristics) that have been further classified under several sub-themes. This review article pioneers to provide an integrated and organized analysis of the literature on the voting behaviour of low-income consumers, highlighting critical research gaps in theories, contexts, methods, and antecedents that future researchers can examine to extend the discourse in this realm.     

On the Value Relevance of Retailer Advertising Spending and Same-store Sales Growth

In response to recent calls to study factors that determine a retailer's stock price, this study draws on signaling theory to examine the impact of two key marketing metrics that are widely disclosed by retailers to investors, advertising spending and growth in same-store sales (COMPS), and highlights the moderating role of various firm- and sector-specific factors. Using a stock-response model estimated on a sample of 1,646 observations for 257 retailers, the authors find that the value relevance of advertising spending and COMPS depends on the financial condition of, and the competitive pressures faced by, the retailer. In addition, the positive effect of COMPS on stock returns is found to be stronger in the presence of decreases in advertising spending.     

Relational contracts with subjective peer evaluations

We study optimal dynamic contracting for a firm with multiple workers where compensation is based on public performance signals and privately reported peer evaluations. We show that if evaluation and effort provision are done by different workers (e.g., consider supervisor‐agent hierarchy), first‐best can be achieved even in a static setting. However, if each worker both exerts effort and reports peer evaluations (e.g., consider team setting), effort incentives cannot be decoupled from truth‐telling incentives. This makes the optimal static contract inefficient. Relational contracts based on public signals increase efficiency. Interestingly, the optimal contract may ignore signals that are informative about effort.