Domestic versus External Borrowing and Fiscal Policy in Emerging Markets

This paper presents a model of an emerging market sovereign that can selectively default on its domestic or external creditors. The two classes of creditors have different ways of punishing the government in the event of default, which in turn creates a differential in the sovereign's incentives to default on its domestic versus foreign creditors. We explore the extent to which the possibility of differential treatment of creditors affects the composition of debt. We find that a country characterized by volatile output, sovereign risk, and costly tax collection will want to borrow in domestic as well as in international markets.     

Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms

The main purpose of this paper is to do a comparative analysis of prediction models using various machine learning techniques. The models will be used to predict whether a movie will be a hit or flop before it is actually released. The techniques used for comparisons are decision tree, random forest (RF), support vector machine, logistics regression, adaptive tree boosting, and artificial neural network algorithms. The major predictors used in the models are the ratings of the lead actor, IMDb ranking of a movie, music rank of the movie, and total number of screens planned for the release of a movie. The results of most models indicated a reasonable accuracy, ranging from 80 to 90%. However, models based on two techniques, RF and logistic regression, achieved an accuracy of 92%. From the results, the most important predictors of a movie’s success are music rating, followed by its IMDb rating and total screens used for release.

     

Do Households Prefer Small School Districts? A Natural Experiment

Some education reformers have proposed breaking up large urban school districts, thereby moving to a more efficient scale, increasing school choices, and promoting school competition. This article tests whether households expect these effects and whether they value them. It considers the effect on real estate prices of the surprise breakup of the Los Angeles Unified School District (LAUSD) into 11 minidistricts in April 2000. We estimate households' reaction to this reform in a difference‐in‐differences setting that controls for any unobserved spatial effects unaffected by the announcement. We find that households valued this decentralization, with a 2–3 percentage point increase in housing values in the LAUSD area over pre‐existing trends, compared with control districts. The effect is highest in wealthier neighborhoods but otherwise homogenous within the LAUSD area. The results suggest that households believe that decentralization would make schools more effective and that they respond to signals about schools' future.     

A configural framework of practice change for B corporations

There is increasing scholarly attention toward understanding how enterprises seeking prosocial impact organize their practices. However, this research has primarily explained changes in isolated practices and has not fully explored the mechanisms for such changes. This omission is relevant for social entrepreneurship scholars who seek to better understand how practices operate not simply internally but can effect a positive impact. We address this omission by drawing from a unique longitudinal dataset – assessment scores of enterprises seeking to be certified and recertified as B Corporations (B Corps). We also conducted 24 interviews with B Corp leaders, B Lab staff, and venture fund managers. We found that B Corps shifted their practice configurations as they underwent assessment and reassessment for certification. We also found that exogenous factors such as size and sector, and endogenous factors such as the nature of practices explained shifts in practice configurations. Our contribution is twofold. First, we test deductive claims that social enterprises re-organize for impact. We show that enterprises update their practice configurations over time. Second, we propose an inductively derived theoretical framework with three building blocks: affordability, interpretability, and social referents to explain the shifts in practice configurations.

Impact of Celebrity Endorsements and Brand Mascots on Consumer Buying Behavior

ABSTRACT

Celebrity and brand mascot endorsements are very popular and often-used techniques by marketers. Marketers believe that celebrity and brand mascot endorsements provide a higher degree of appeal, attention, and customer recall ability compared with when this technique is not used. Marketers also claim that a celebrity affects the credibility of claims about a product and increases the memorabilia factor of the message, which may provide a positive effect that could be generalized to the brand. Primarily this essay has been designed such that it examines various parameters related to advertisements containing celebrity and brand mascot endorsements. Data were been collected from 150 respondents through questionnaire and subjected to t test, χ² test, and difference of means test to enforce the hypotheses that celebrity endorsements have impacts on customers’ perceptions and their purchase intentions. The findings of this study provide insights for marketing and brand managers to design and market their campaigns effectively.     

Do developing countries gain by participating in global value chains? Evidence from India

Review of World Economics - Is it in the interest of a developing country to promote strong local linkages for domestic industries or to participate in global value chains (GVCs) wherein linkages...