Interpartner Legitimacy in the Alliance Development Process*

abstract We propose a framework to understand interpartner legitimacy in strategic alliances. Interpartner legitimacy is the mutual acknowledgment by the alliance partners that their actions are proper in the developmental processes of the alliance. We argue that interpartner legitimacy is needed for cooperation to achieve alliance objectives. We propose three types of interpartner legitimacy – pragmatic, moral, and cognitive legitimacy – and discuss the dynamics of these three types in the formation, operation, and outcome stages of alliance development. Further, we discuss the salience of interpartner legitimacy in different alliance types. Finally, we derive propositions for further research, and discuss strategies that alliance managers can adopt to develop interpartner legitimacy.     

Graphic Geopolitics: An Interview with Comics Artist Joe Sacco

Joe Sacco is best known for works that blend journalism with the format and structure of comic books. Sacco’s prior work has considered themes of political conflict, legacies of violence, and marginalization across a range of geographic contexts, including Bosnia, the Middle East, and the United States. This interview, conducted by the authors with Joe Sacco on 16 November 2015, explores these and other themes in an attempt to situate the positionality and choices of the creator of geopolitical narratives in the broader literature on critical geopolitics. We consider the themes of subject, representation, audience response, and stylistic influences, among others, in our conversation.     

Making Chile Visible: Purposes,Operationalisation and Audiences from the Perspective of Nation Branding Practitioners

Chile has become the paradigm of nation branding in Latin America, employing branding initiatives to try to shake off the uncomfortable past of Augusto Pinochet’s dictatorship, as well as to create a ‘new’ image that fits into a globalised and neoliberal world. Whilst there has previously been some analysis of Chile’s branding efforts, the viewpoints of the local actors involved in these initiatives have largely been ignored. This article addresses this issue, examining the tensions faced by different individuals who have taken part in nation branding in the country. Drawing on interviews with some of these individuals, this article examines three areas of tension: (1) the conflicting purposes guiding the practice of nation branding, (2) the difficulties around the operationalisation of nation branding and (3) the controversies regarding the intended audiences for their efforts.     

Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?

This paper finds that participants in the European Central Bank’s Survey of Professional Forecasters have submitted forecasts that are consistent with a (mostly forward-looking) empirical version of the New Keynesian Phillips Curve for the euro area. The estimation technique takes advantage of the panel nature of the Survey of Professional Forecasters’ dataset to exploit both its time series and cross-section dimensions, and to control for unobservable individual heterogeneity across forecasters. The estimation results suggest that euro-area inflation forecasts have reacted less to unemployment forecasts after the start of the financial crisis but another cost measure (energy inflation) remains significant. This finding is consistent with a flatter Phillips Curve in the euro area after 2007. However, the reasons suggested by the International Monetary Fund for this finding, namely a better anchoring of inflation expectations and increases in structural unemployment do not seem to find support in the survey data. Instead, the expectations for compensation per employee submitted by professional forecasters are consistent with the existence of downward real-wage rigidities in euro-area labour markets.     

Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project

This article brings together the stochastic frontier framework with impact evaluation methodology to compare technical efficiency (TE) across treatment and control groups using cross-sectional data associated with the MARENA Program in Honduras. A matched group of beneficiaries and control farmers is determined using propensity score matching techniques to mitigate biases stemming from observed variables. In addition, possible self-selection arising from unobserved variables is addressed using a selectivity correction model for stochastic frontiers recently introduced by Greene (J Prod Anal 34:15?C24, 2010). The results reveal that average TE is consistently higher for beneficiary farmers than the control group while the presence of selectivity bias cannot be rejected. TE ranges from 0.67 to 0.75 for beneficiaries and from 0.40 to 0.65 for the control depending on whether biases were controlled or not. The TE gap between beneficiaries and control farmers decreases by implementing the matching technique and the sample selection framework decreases this gap even further. The analysis also suggests that beneficiaries do not only exhibit higher TE but also higher frontier output.     

Characterization of Normal Distribution Related to Two Samples Based on Regression

Characterization of normal distribution related to two samples based on second conditional moments has been obtained. This characterization has been transformed to a characterization based on the UMVU estimators of the density function. These results are generalized to k samples from normal distributions. Finally applications of these characterization results to goodness-of-fit test are discussed.     

On estimating the reliability after sequentially estimating the mean: The exponential case

Sequential estimation problems for the mean parameter of an exponential distribution has received much attention over the years. Purely sequential and accelerated sequential estimators and their asymptotic second-order characteristics have been laid out in the existing literature, both for minimum risk point as well as bounded length confidence interval estimation of the mean parameter. Having obtained a data set from such sequentially designed experiments, the paper investigates estimation problems for the associatedreliability function. Second-order approximations are provided for the bias and mean squared error of the proposed estimator of the reliability function, first under a general setup. An ad hoc bias-corrected version is also introduced. Then, the proposed estimator is investigated further under some specific sequential sampling strategies, already available in the literature. In the end, simulation results are presented for comparing the proposed estimators of the reliability function for moderate sample sizes and various sequential sampling strategies.     

SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM PARTICIPATION AND HEALTH: EVIDENCE FROM LOW‐INCOME INDIVIDUALS IN TENNESSEE

We investigate the factors that contribute to participation in the Supplemental Nutrition Assistance Program (SNAP, formerly known as the Food Stamp Program) and the effects of such participation on self‐assessed health (SAH). Our estimation approach consists of an endogenous switching ordered probability model, using the copula approach, for a sample of current and former Temporary Assistance for Needy Families (TANF) recipients in Tennessee. Results indicate that sociodemographic characteristics play a role in SNAP participation. Interestingly, we find that participation in SNAP is inversely related to SAH. (JEL I12, I38, C31)     

The 1997 Asian Currency Crisis,Financial Linkages,and the Monetary Policy of Japan

The evidence is examined that excessively liberal monetary policy by the Bank of Japan, before and after the financial collapse of Japan in 1992, may have led other East Asian economies into “over‐borrowing” and speculative investments, prior to the currency crisis in 1997–98. The authors test for cointegration and Granger causality between Japanese money supply M1 and the domestic investment of eight East Asian economies and Australia. US and German money supplies are also used as a benchmark. There is strong evidence that there are long‐ and short‐run causal relationships between the Japanese money supply and the domestic investment of the Asian crisis‐inflicted economies prior to 1997.     

Computing DSGE models with recursive preferences and stochastic volatility

This paper compares different solution methods for computing the equilibrium of dynamic stochastic general equilibrium (DSGE) models with recursive preferences such as those in Epstein and Zin, 1989, Epstein and Zin, 1991 and stochastic volatility. Models with these two features have recently become popular, but we know little about the best ways to implement them numerically. To fill this gap, we solve the stochastic neoclassical growth model with recursive preferences and stochastic volatility using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing time, implementation complexity, and accuracy. Our main finding is that perturbations are competitive in terms of accuracy with Chebyshev polynomials and value function iteration while being several orders of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems.