Testing for PPP: Should we use panel methods?

A common finding in the empirical literature on the validity of purchasing power parity (PPP) is that it holds when tested for in panel data, but not in univariate (i.e. country-specific) analysis. The usual explanation for this mismatch is that panel tests for unit roots are more powerful than their univariate counterparts. In this paper we suggest an alternative explanation. Existing panel methods assume that cross-unit cointegrating relationships, that would tie the units of the panel together, are not present. Using simulations, we show that if this important underlying assumption of panel unit root tests is violated, the empirical size of the tests is substantially higher than the nominal level, and the null hypothesis of a unit root is rejected too often even when it is true. More generally, this finding warns against the automatic use of panel methods for testing for unit roots in macroeconomic time series.First version received: November 2001/Final version received : October 2003     

On tariff and quality innovation in a market with discrete preferences

In a market for a quality-differentiated good with heterogeneous set of consumers and a local firm facing competitive imports from abroad, we examine private and social incentives for quality innovation. For differential tariff regime, we show that both the private and social gains increase with the tariff protection for the low-quality segment of the domestic market for any given tariff on high-quality imports. But for some very high costs of innovation, the local firm may not undertake a socially desirable innovation. The pro-competitive effect, on the other hand, ensures that quality-distortion-at-the-bottom occurs only for very high levels of tariffs.     

Economic Properties of Statistical Indices: The Case of a Multidimensional Gini Index

This paper seeks to construct a Gini index of the distribution of standard of living. Since standard of living has various dimensions, we need a multidimensional Gini index (MGI). The literature on index numbers contains two distinct approaches: the statistical and the economic. In the context of MGIs the statistical approach (which obtains the indices from conditions based on statistical or data-related considerations) seems to be open to the criticism that it sometimes yields indices that violate economic norms. However, the economic approach (where the indices are derived from norms based on economic theory) also does not seem to have succeeded so far in obtaining an MGI satisfying the various normative requirements that have been proposed in the literature. This paper shows that it is possible to obtain an MGI from the statistical approach ensuring, at the same time, that the economic norms are satisfied. In this sense it is an attempt to bring the two disparate traditions in index construction referred to above closer to each other. The index that is developed here does not appear in the existing literature. Moreover, the literature does not seem to contain any other MGI satisfying all of the proposed economic norms.

     

Does trade size restriction affect trading behavior? Evidence from Indian single stock futures market

Algorithmic traders use their advantage of speed to execute a large number of small-sized trades in a very short time. In the presence of a minimum trading unit (MTU) restriction, they are forced to trade at the smallest possible sizes, often restricted by the MTU. Using a novel data set of single stock futures market obtained from the National Stock Exchange of India, we show that the MTU restriction acts as a binding constraint for traders while optimizing trade sizes. Contrary to expectation, we find weak evidence that liquidity is positively impacted by the contract size revision.     

Regulation,reputation, and environmental risk

This paper examines how preferences for social reputation affect the design of monetary incentives in an efficient mechanism for environmental risk. Our results are a high reputation firm receives less than optimal transfer; the low reputation firm sacrifices information rent.     

Partial Assimilation of Technology: Prognosis and Remedial Measures

Prior research mentions that there may be technology assimilation gaps in that a technology may be cumulatively assimilated over a period of time depending on knowledge and experience from initial usage. Thus, stages of partial assimilation are indicated that, if not accounted for, could lead to erroneous understanding of technology adoption and diffusion. However, the phenomenon has not received serious academic attention, and there is still a lack of understanding as to when and why partial assimilation may occur, its consequences to organizations, and remedial steps that could be taken to minimize it. We investigate these issues in the context of assimilation of third-party business-to-business (B2B) e-market by four small firms. Our findings reveal that partial assimilation occurred because of different perceptions of benefit and risk of the two different features of the B2B e-market—the informational (buyer/supplier and product information) and the transactional (auction, request for quote, price negotiation, message archiving, payment systems), arising from different moderating impacts of the organizational (relational norms and the type of business handled) and environmental (perceptions of competitive pressure and institutional norms of technology usage and work practices) contexts of deployment and usage of the two features. The consequences of partial assimilation were mixed; while it was found to be detrimental to firms with low relational norms with their clients, it proved to be gainful for firms with high relational norms. Theoretical and practical implications of the findings are discussed.     

Morally Contentious Technology-Field Intersections: The Case of Biotechnology in the United States

Technologies can be not only contentious—overthrowing existing ways of doing things—but also morally contentious—forcing deep reflection on personal values and societal norms. This article investigates that what may impede the acceptance of a technology and/or the development of the field that supports or exploits it, the lines between which often become blurred in the face of morally contentious content. Using a unique dataset with historically important timing—the United States Biotechnology Study fielded just 9 months after the public announcement of the successful cloning of the first mammal (i.e., Dolly the sheep)—we find that microlevel factors (i.e., conservative Christianity) predict unfavorable judgments of the technology-field intersection while macrolevel representations [i.e., exposure to Science, Technology, Engineering, and Mathematics disciplines and media coverage] predict more favorable judgments.     

The long-run Phillips curve and non-stationary inflation

Modern theories of inflation incorporate a vertical long-run Phillips curve and are usually estimated using techniques that ignore the non-stationary behaviour of inflation. Consequently, the estimates obtained are imprecise and unable to test the veracity of a vertical long-run Phillips curve. We estimate a Phillips curve model taking into account the non-stationary properties in inflation and identify a small but significant positive relationship between inflation and unemployment. The results also provide some evidence that the trade-off between inflation and the rate of unemployment in the short-run worsens as the mean rate of inflation increases.