Dynamic estimation of the relationship between trade openness and output growth in Asia

This paper studies the relationship between trade openness and output growth for a sample of twenty-three Asian countries using both a static OLS and a dynamic ECM estimation models. At the country specific level, the findings of this study provide robust empirical evidence indicating that higher revealed trade openness is not the main engine explaining the Asian economic-growth miracle. In particular, the authors find that physical capital accumulation is at the core of the observed long-run output per worker growth. At the regional level, the authors observe a marked difference between the pre and post 1997–1998 financial crisis, whereas, in the post period, trade openness has a positive and significant effect on output growth. In general, the results from the dynamic estimations prove that the conventional OLS static estimates underestimate the effect of investment on output growth. In addition, the dynamic model allows for a separation of gains from trade between short term and long term. The paper results also provide evidence in support of the idea that, countries with a growing degree of trade openness may experience faster per-capita output growth through gains in productivity associated to capital accumulation, rather than the assumed technological spillover effects from the trading sector. Again, at the regional level in the post financial crisis period both short term and long term gains from trade are relevant to growth. Why more trade does not necessarily imply faster growth at all levels of revealed trade openness growth, remains a conundrum.     

Lessons from the recent economic crisis: the Australian household stimulus package

This paper provides an impact evaluation analysis of the 2009 Australian Household Stimulus Package, which was composed by three main cash payments: the Back to School Bonus, the Single Income Family Bonus and the Tax Bonus for Working Australians. Using panel data from the 2008 and 2009 HILDA surveys, the results show that these cash payments reduced the risk of poverty and stimulated consumption expenditure. Nonetheless, only the Back to School Bonus and the Single Income Family Bonus were really important in achieving these goals, while the Tax Bonus for Working Australians did not contribute to stimulate consumption and failed to reduce the risk of poverty. Thus, the analysis confirms the crucial role of governments to protect the most vulnerable groups avoiding a dramatic deterioration of social outcomes and favoring a fast economic recovery when interventions are timely and well-targeted.     

Corporate Stock and Bond Return Correlations and Dynamic Adjustments of Capital Structure

This paper analyses the effects of dynamic correlations between stock and bond returns issued by the same firm on the speed of adjustment towards target leverage. The results show that the estimated correlations are time varying, show persistence and differ among firms. Analysis of the potential explanatory variables reveals that the correlations decrease with negative expectations about future aggregate risks, but only for firms with a low default probability. In contrast, correlations are positively associated with specific risk measures, especially idiosyncratic stock risk and financial leverage. The positive relationship between the correlations and the leverage ratio suggests that target leverage can be achieved faster when the stock–bond correlation is high. Our results show that this is the case.     

Financing Technological Innovation: Evidence from Patent-Intensive Firms

ABSTRACT

Equityholders of firms with high debt loads have an incentive to underinvest, a distortion that can be most costly for firms with attractive growth options. Using a novel patent-based measure of a firm's growth options, we find that firms issue more equity and shy away from debt financing when they have larger investment opportunities sets. The results are more pronounced among firms in patent-intensive industries. The findings suggest the existence of conflicts of interest between debtholders and equityholders. Our results are consistent with the use of conservative debt policies by technology-intensive firms to mitigate the debt overhang associated with their future growth options.     

上海自贸区的“光环效应”及问题分析--从自贸区“抢位”现象说起

中国（上海）自由贸易试验区自成立以来一直是人们关注的热点，人们在参与自贸区活动中存在着“抢位”等盲目行为，自贸区“光环效应”明显。不良“光环效应”遮蔽自贸区的内在发展，反映了我国在自贸区发展过程中存在系统性和前瞻性的宏观问题。文章从自贸区的本身、人们心理情感、政策环境和信息传递过程四个方面分析自贸区不良“光环效应”的产生原因，并揭示不良“光环效应”可能带来的弊端，如浪费资源、破坏市场秩序、影响社会稳定、降低政府公信力、增加政策执行难度、遮蔽自贸区本质、不利于长远发展等问题。最后，在健康生态的理念下从三个方面探求破解“光环效应”、回归上海自贸区发展“正道”的有效途径，包括信息传递过程要公开、透明、准确、快速；各活动主体需开阔视野、端正认识、回归理性；自贸区自身建设则要立足国际环境，激发内在动力，以制度创新为突破点，构建对接全球经济发展的市场生态。     

ALTERNATIVE WEIGHTING APPROACHES TO COMPUTING INDEXES OF ECONOMIC ACTIVITY

This paper compares the weighting schemes in the traditional, principal component and dynamic factor approaches to summarizing information from a number of component variables. To facilitate the comparison, we propose a framework to discuss the approaches with respect to their implied loadings in a latent variable model. We also propose a way to transform the dynamic factor index into an analogous index which is a weighted average of the components. The framework shows the strengths and weakness of the alternative weighting schemes and the sense in which the dynamic factor approach has the advantage of capturing both the significance and the variability of the components.     

IS FINANCIAL SUPPORT FOR PRIVATE R&D ALWAYS JUSTIFIED? A DISCUSSION BASED ON THE LITERATURE ON GROWTH

Many economists have long held that market failures create a gap between social and private returns to research and development (R&D), thereby limiting private incentives to invest in R&D. However, this common belief that firms significantly underinvest in R&D is increasingly being challenged, leading the rationale behind public support for private R&D to be questioned. In this paper, we attempt to clarify the perspectives of two sources: the theoretical literature on endogenous growth, and its recent developments in integrating a geographical dimension, and the empirical literature that measures the social returns to R&D in relation to the private returns. Ultimately, we are able to clearly distinguish among different types of market failures and compare their relative impact on the gap between the private and social returns to R&D. Two main conclusions are reached. First, systematic firm underinvestment in R&D is not demonstrated. Second, even though instances of underinvestment do occur, they are mainly explained by surplus appropriability problems rather than by knowledge externalities. This suggests the need for a new policy mix that employs more demand‐oriented instruments and is more concentrated on identifying efficient allocations among activities rather than merely increasing global private R&D investment.     

HOW TO MEASURE THE ECONOMIC IMPACT OF VECTOR‐BORNE DISEASES AT COUNTRY LEVEL

Vector‐borne diseases (VBDs) are widespread in less developed countries and reemerging in developed ones. Available economic studies agree that VBDs have significant effects on countries' economic outcomes, and affirm that a systematic evaluation of such effects is crucial for the efficient allocation of resources to health‐related priorities. This paper provides a comparative assessment of available methodologies for measuring the economic impact of VBDs at national level. We review both macroeconometric and micro‐based approaches, and examine advantages and disadvantages of current methods. We conclude by suggesting possible areas for future research.     

Forecasting and forecast narratives: The Bank of England Inflation Reports

We analyze the narratives that accompany the numerical forecasts in the Bank of England’s Quarterly Inflation Reports, 1997–2018. We focus on whether the narratives contain useful information about the future course of key macro variables over and above the point predictions, in terms of whether the narratives can be used to enhance the accuracy of the numerical forecasts. We also consider whether the narratives are able to predict future changes in the numerical forecasts. We find that a measure of sentiment derived from the narratives can predict the errors in the numerical forecasts of output growth, but not of inflation. We find no evidence that past changes in sentiment predict subsequent changes in the point forecasts of output growth or of inflation, but do find that the adjustments to the numerical output growth forecasts have a systematic element.     

Internal habits formation and optimality

In a very influential model with internal habits, Carroll et al., (2017, 2000), establish that an increase in economic growth may cause a positive change in savings. The optimality of this result, and of many other contributions using a similar framework, has been questioned by some authors who have observed that the parametrization used in these models always implies a utility function not jointly concave in consumption and habits. In this paper, we revisit the optimality issue and, using advanced techniques in Dynamic Programming, we answer the following long-standing open questions: (i) Is the solution found in Carroll et al., (2017, 2000) optimal? (ii) Is it also unique or do other optimal solutions exist?