An Empirical Analysis of the Political Economy of Tariffs

We seek to analyze the determinants of senatorial response to "generic" trade bills that seek to impose restrictions on the lowering of tariffs. The analysis is based on the response of senators to the trade expansion acts of 1962 and 1974. In the recent past these have been the only bills that are "generic" in nature since they are not targeted at any particular industry. Within the same framework we also examine the issue of "legislator shirking", a term used to imply the response of senators based on pure personal ideology rather than the interests of the constituents. Regression results show the growing influence of state specific factors and the diminishing role of party and personal ideology on senatorial response. Interestingly, we find that despite the similar generic nature of the two bills examined, the influence of personal ideology on the response of senators varies across the two bills examined.     

Cashlessness in India: Vision,policy and practices

Over the past few years, an increasing convergence can be observed between international and Indian initiatives towards cashlessness, often involving a broad range of actors and influences. Despite this convergence, it is also clear that the conceptualization and implementation, or goals and outcomes of cashlessness can vary considerably, which indicates the need for a closer look at the Indian case. In this introductory note to the special issue on cashlessness in India, we outline the variety of institutions, stakeholders (regulatory, financial and technological actors), technologies and policies involved. As we have observed, digital payments and financial inclusion are two significant planks of cashlessness in India. Perhaps as a result, digital payments have been intentionally defined in a broad manner in India – ranging from anti-cash to less-cash and now contactless payments in the aftermath of Covid-19. Considering the variety of legal, economic, social and technological concerns involved, this special issue adopts 2 complementary foci to study cashlessness in India: technological visions and the systems undergirding it, and practices of end users. The special issue includes four papers. The first paper argues that the Digital India programme may lead to the commercialization of bias. The second paper historicizes the Indian demonetization of 2016 and examines its stated and unstated goals. The next paper provides a conceptual model on technology adoption in the context of digital payments. The final paper argues that users strategically switch between multiple payments media based on the context in which the transaction is taking place.     

A Conjoint‐Hazard Model of the Timing of Buyers' Upgrading to Improved Versions of High‐Technology Products*

Understanding consumers' upgrading behavior is essential to product planning. Product managers would like to know what fraction of customers would upgrade to new and improved versions, and how fast. This paper presents a method to forecast the sales path of an improved version of a high‐technology product defined in terms of its price path and multiattribute product specification. The approach is potentially useful to managers to answer what‐if questions on the effects of alternative price paths and product specifications of the upgrade on when and what fraction of customers will upgrade. By doing such analysis for several product options under consideration, managers can choose the best feature specification and price path for the upgrade. The proposed approach integrates an individual‐level conjoint utility model with a hazard function specification. The first stage of estimation (i.e., conjoint analysis) measures individual‐level multiattribute utility functions, and the second stage (i.e., duration analysis) calibrates the coefficients of predictor variables of the time to upgrade via maximum likelihood. An illustrative application in the personal digital assistant (PDA) category confirms the predictive validity and potential usefulness of the proposed approach. Among the empirical findings are that higher upgrade costs and expectation of faster product improvement tend to delay buyers' upgrading decisions. The roles of other predictor variables such as product category characteristics, consumer characteristics, and peer pressure were also confirmed.     

An analysis of B2B ingredient co-branding relationships

The proliferation of co-branding in consumer markets has been given considerable attention in the literature, yet attention to the practice in business-to-business markets has been limited, despite the growing attention to the role of relationships in the B2B arena. In an examination of co-branding in the industrial sector, this paper discusses the use of ingredient co-branding and uses an econometric modeling approach to offer a rationale for why it occurs. The analysis provides insight into why downstream manufacturers participate in a relationship that strengthens the supplier's position in the market. We find that under the threat to the supplier of entry from a competitor whose costs are unobservable, co-branding relationships will be entered into resulting in a reduced probability of entry. This co-branding arrangement benefits both the incumbent supplier and the downstream manufacturer. The incumbent supplier benefits from the reduced probability of competitor entry, and the downstream manufacturer is rewarded with a lower price. Further, we find that the cost of the co-branded product is lower, due to a mitigation of double marginalization in a vertically-integrated solution. We examine co-branding relationships with and without advertising support and find that co-branding relationships with advertising support tend to be superior.     

Optimal and Approximate Policies for Inventory Systems With Order Crossover

A common assumption in inventory analysis is that replenishment orders arrive in the same sequence in which they were placed. In practice, however, a variety of factors may cause orders to arrive out of sequence, a phenomenon known as order crossover. This article analyzes a periodic‐review inventory system for a single item with discrete variable demand and discrete variable and long lead‐times (relative to the review period). Under such a scenario, multiple orders are simultaneously outstanding, and orders may arrive in a different sequence than placed. If such order crossover occurs, traditional inventory analysis overstates expected shortages and standard inventory control policies are no longer optimal. This article discusses why orders may cross over in practice and investigates the implications of order crossover to inventory management policies. We investigate the cost performance of optimal policies under order crossover and also suggest approximate policies which are easier to compute and implement. Both the optimal and approximate policies take advantage of detailed real‐time information about the status of pending orders and goods in transit, and hence in a majority of cases perform better than commonly used policies which do not incorporate such information.     

Proposing and Testing an Intellectual Capital-Based View of the Firm

abstract    This study examines one specific aspect of the resource-based view, intellectual capital, and its three knowledge components – human, organizational, and social capital. We hypothesize that the impact of each component on financial performance is contingent upon the values of the other components, and that these leveraging effects are themselves contingent upon the industry conditions in which a business operates. Our hypotheses are supported using line-of-business survey and FDIC data (within-industry/within-geographic region) from two non-competing resource niches of the banking industry (personal and commercial banking).     

Shifting Demand: Online Music Piracy,Physical Music Sales,and Digital Music Sales

Traditionally, music has been sold to consumers by recording several individual songs/tracks in physical media such as CDs and cassettes. Sales of such physical music have been declining for the past several years. Many academic studies have attributed the decline of physical music sales to online music piracy, yet some other studies have not found evidence to support a negative relationship between online music piracy and physical music sales. Interestingly and importantly, we have observed that while many of the studies that found the negative relationship between online music piracy and physical music sales used data before 2003, other studies that do not find similar results have used post-2003 data. In fact, there was a significant structural change in the music market in 2003. Legal (iTunes-like) online channels for digital music that allow consumers to buy individual tracks became available during that year. This article complements the existing literature by analyzing the impact of online music piracy and physical music sales in the presence of iTunes-like legal channels for digital music using bivariate Granger testing. Our results show that the availability of legal channels for digital music has weakened the negative effect of online music piracy on physical music sales. Moreover, in the presence of legal channels for music distribution, digital music, not online music piracy, substitutes for physical music.     

Are Central Bank Preferences Asymmetric? A Comment

A recent paper by Ruge-Murcia (2004) on asymmetric central bank objectives provides a new perspective on the policy roots of inflation in developed economies. More precisely, the paper demonstrates that if the distribution of the supply shocks is normal, then the reduced-form solution for inflation implies a positive (or negative) relation between average inflation and the variance of shocks. We argue that the evidence offered in support of this hypothesis suffers from lack of identification because Phillips curve nonlinearity combined with quadratic central bank preferences yield the same reduced-form solution for inflation. If so, estimating reduced form for inflation will not be able to discriminate between these models. Yet they have quite different implications for policy. Other, structural, evidence is needed.