A multinomial logit approach to exchange rate policy classification with an application to growth

We model a country's de jure exchange rate policy as the choice from a multinomial logit response conditioned on the volatility of its bilateral exchange rate, the volatility of its international reserves, and the volatility of its effective exchange rate. The category with the highest predictive probability implied by the logit regressions serves as our de facto exchange rate policy. An empirical investigation into the relationship between the de facto classifications and GDP growth finds that growth is higher under stable currency-value policies. For non-industrialized countries, a more nuanced characterization of exchange rate policy finds that those who exhibit ‘fear of floating’ experience significantly higher growth.     

On the different “worlds” of intra-organizational knowledge management: Understanding idiosyncratic variation in MNC cross-site knowledge-sharing practices

This qualitative field study investigated cross-site knowledge sharing in a small sample of multinational corporations in three different MNC business contexts (global, multidomestic, transnational). The results disclose heterogeneous “worlds” of MNC knowledge sharing, ultimately raising the question as to whether the whole concept of MNC knowledge sharing covers a sufficiently unitary phenomenon to be meaningful. We derive a non-exhaustive typology of MNC knowledge-sharing practices: self-organizing knowledge sharing, technocratic knowledge sharing, and best practice knowledge sharing. Despite its limitations, this typology helps to elucidate a number of issues, including the latent conflict between two disparate theories of MNC knowledge sharing, namely “sender–receiver” and “social learning” theories (Noorderhaven & Harzing, 2009). More generally, we develop the term “knowledge contextualization” to highlight the way that firm-specific organizational features pre-define which knowledge is considered to be of special relevance for intra-organizational sharing.     

Looking Back in Time: The Pitfalls and Potential of Retrospective Methods in Leisure Studies

An increased focus on alternate theoretical perspectives, methodologies, and methods is needed in leisure studies. Although retrospective methods have been employed in a range of disciplines, criticism has been leveled at their validity, reliability, and trustworthiness. Possibilities and critiques of retrospective methods are discussed as either attempts at controlling or interpreting the past. Techniques for minimizing post-positivist concerns include stimulating memories using cues such as photos, allowing participants to report freely rather than forcing responses, and studying salient phenomenon that are subject to accurate recall. Interpretive methods such as narrative inquiry, autoethnography, and collective memory-work are also discussed and debated.     

The Accuracy of Diary Measures of Car Radio Audiences: An Initial Assessment

Abstract

Despite the importance of diary measures, the dominant method used to measure radio audiences, few studies have been published concerning the accuracy of those measures. Several different measures of car radio audiences were conducted over a three-month period, including an audio tape of each subject's car radio listenership, in order to assess the accuracy of diary measures of car radio audiences.     

Online social capital: Understanding e-impulse buying in practice

Socially constructed marketing imageries (e.g. e-atmospherics) help consumers while making choices and decisions. Still, human and retailing technology interactions are rarely evaluated from a social practice perspective. This article explores the potential impact of socially constructed e-atmospherics on impulse buying. A framework with three interrelated factors, namely social acoustic, co-construction and mundane language enactment is analysed. The way these allow for e-social norms to organically emerge is elaborated through a set of propositions. Retailing implications are subsequently discussed.     

The interchangeability of alternative measures of permanent income in regression analysis

Recent years have witnessed a sharp rise in crime levels in most of the societies across the world. Apart from the increasing direct costs involved in the containment/control of crime, the subject societies also bear considerable psychic costs (results of fear of crime or the after effects of crime). These costs of crime are perceived to be higher in developing economies. Economists consider crime to be rational behaviour under specific scenarios is sparse. In this paper, we characterize the rising-crime scenarios in terms of several demographic and economic variables. Regression models relating different types of crime to these societal variables are fitted, using crime data from Malaysia (from published records of the Government of Malaysia). The model fit is found to be extremely good with most of these observational data.     

Countercyclical markups and news-driven business cycles

The standard one-sector real business cycle model is unable to generate expectations-driven fluctuations. The addition of countercyclical markups and modest investment adjustment costs offers an easy fix to this conundrum. The simulated model replicates the regular features of U.S. aggregate fluctuations.