Costs and potential funding of expanded public pension coverage in Asia

Public pension burdens in most emerging Asian economies are still relatively small. However, there are a number of reasons to believe that they will increase markedly in the coming years. First, many Asian economies will face rapidly ageing populations, which will raise pension and other old‐age‐related spending dramatically. Second, as economies develop, political pressures to expand the coverage of public pensions and raise pension benefits will likely increase. The first objective of this paper is to identify the potential fiscal burden of public pensions in 23 emerging Asian economies, based on econometric models and forecasts of GDP and demographic trends. Using two different methodologies yields estimated increases in the average share of public pension expenditures in GDP of 1.0 percentage point and 3.6 percentage points by 2030 compared with current levels. We believe the latter estimate is more realistic. The second objective is to recommend policies to provide adequate funding for public pension needs, including enhancing the efficiency of social insurance programs, improving the balance of revenues and expenditures, implementing more explicit fiscal rules and frameworks, and establishing stronger fiscal surveillance at the national and regional levels.     

Predicting future purchases with the Poisson log-normal model

The negative binomial distribution (NBD) has been widely used in marketing for modeling purchase frequency counts, particularly in packaged goods contexts. A key managerially relevant use of this model is Conditional Trend Analysis (CTA)—a method of benchmarking future sales utilizing the NBD conditional expectation. CTA allows brand managers to identify whether the sales change in a second period is accounted for by previous non-, light, or heavy buyers of the brand. Although a useful tool, the conditional prediction of the NBD suffers from a bias: it under predicts what the period-one non-buyer class will do in period two and over predicts the sales contribution of existing buyers. In addition, the NBD's assumption of a gamma-distributed mean purchase rate lacks theoretical support—it is not possible to explain why a gamma distribution should hold. This paper therefore proposes an alternative model using a log-normal distribution in place of the gamma distribution, hence creating a Poisson log-normal (PLN) distribution. The PLN distribution has a stronger theoretical grounding than the NBD as it has a natural interpretation relying on the central limit theorem. Empirical analysis of brands in multiple categories shows that the PLN distribution gives better predictions than the NBD.     

Revisiting Exports and Foreign Direct Investment in Vietnam

Since 1986, Vietnam has undertaken various reform measures in the trade and foreign investment area. This paper finds significant contributions of world trade, and competitiveness and liberalization effects to Vietnam's export growth over the period 1997–2008. Vietnam's exports became more competitive and better complemented the import demand of Vietnam's trade partners. In addition, dynamic comparative advantage became evident in many products, but significant room remains for improving export competitiveness. Foreign direct investment (FDI) inflows also increased and helped stimulate Vietnam's exports. FDI inflows have increased in both the short‐ and long‐term, yet are only of a limited magnitude. This necessitates more effective measures to enhance the linkages between FDI and domestic enterprises.     

Cost‐ and Income‐based Measures of Human Capital

Human capital is increasingly believed to play an important role in the growth process, however, adequately measuring its stock remains controversial. In this paper three general approaches to measurement are identified; cost‐based, income‐based and educational stock‐based. This survey focuses on the first two approaches and provides a critical review of the theories and their applications to data from a range of countries. Particular emphasis is placed upon the work of Jorgenson and Fraumeni (1989, 1992) and some new results for New Zealand based upon their approach are also presented.     

Why firm size matters: investigating the drivers of innovation and economic performance in New Zealand using the Business Operations Survey

The performance of the New Zealand (NZ) economy is something of an enigma. Although ranked one (of 144 countries) for four important ‘growth fundamentals’ NZ is ‘middle of the pack’ when it comes to economic growth, productivity and process innovation. Using four iterations (2005, 2007, 2009 and 2011) of the Business Operations Survey, this research seeks to shed some new light on this conundrum by using a multivariate probit regression (mvprobit) approach applied to pooled samples in excess of 22,000 unit record observations of NZ firms. The results suggest that factors including firm size, high perceived quality, investment/research and development (R&D) capability, major technology change, application of formal IP protection and new export markets are systematically and positively related to innovation; while many external issues, such as those related to geography, market structure, business environment, have little influence. At the firm level, innovations in NZ are highly dependent on the firms’ internal ability to develop new technologies and market demand. The (very small) size of firms does matter in NZ, which lacks a major ‘home market’ or a major trade block on its doorstep, such that ultimately, government may need to be involved to maintain a viable scale for domestic R&D.     

Benchmarking buyer behavior towards new brands

New brand launches are risky endeavors for marketers, as many fail to attract a sustainable customer base. This research examines the buying behavior of customers acquired by a new brand and revisits the theoretical norms of the NBD-Dirichlet model benchmarks. Investigating 40 new brand launches in the UK, across a wide range of brand and category conditions, we find that in the first 12 months, new launches have more, but less loyal buyers than expected from NBD-Dirichlet benchmarks, irrespective of type, price point, or the sales gained by the new launch. Further we find exploratory evidence that new buyers of brands have weaker associations than existing buyers. We propose that the combination of the new experience that lacks distinctiveness in encoding means that the experience of buying the new brand creates weaker memory traces in new buyers and that these buyers need additional marketing reinforcement to consolidate the memory of buying the brand to establish the brand in their ongoing repertoire.     

Museums,exhibits and visitor satisfaction: a study of the Cham Museum,Danang, Vietnam

Museums have several functions as custodians of heritage and culture, disseminators of knowledge about heritage and as places that attract tourists as well as local residents. Arguably all these functions require visitors to be satisfied with the visit experience if museums are to achieve their objectives. This paper reports findings from 411 visitors to the Cham Museum, Danang, Vietnam. It describes the nature of the museum and argues that satisfaction involves the conative, which may be measured by the willingness of visitors to make recommendations to others. However, the study identifies that interpretation and displays are important determinants and simply adjuncts to the generation of satisfaction.     

Performance of information criteria for selection of Hawkes process models of financial data

We test three common information criteria (IC) for selecting the order of a Hawkes process with an intensity kernel that can be expressed as a mixture of exponential terms. These processes find application in high-frequency financial data modelling. The information criteria are Akaike’s information criterion, the Bayesian information criterion and the Hannan–Quinn criterion. Since we work with simulated data, we are able to measure the performance of model selection by the success rate of the IC in selecting the model that was used to generate the data. In particular, we are interested in the relation between correct model selection and underlying sample size. The analysis includes realistic sample sizes and parameter sets from recent literature where parameters were estimated using empirical financial intra-day data. We compare our results to theoretical predictions and similar empirical findings on the asymptotic distribution of model selection for consistent and inconsistent IC.