Can countries rely on foreign saving for investment and economic development?

Contrary to widespread presumption, a surprisingly large number of countries have been able to finance a significant fraction of their investment for extended periods using foreign finance. While many of these episodes are in countries where official finance is important, we also identify episodes where a substantial fraction of domestic investment is financed by private capital inflows. Although there is evidence of a positive growth effect of such inflows in the short run, that positive impact dissipates after 5 years and turns negative over longer horizons. Many such episodes end abruptly, with compression of the current account and sharp slowdowns in investment and growth. Summing over the inflow (current account deficit) episode and its aftermath, we find that growth is slower than when countries rely on domestic savings. The implication is that financing growth and investment out of foreign savings, while not impossible, is risky and too often counterproductive.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.     

Stock market interdependence between Australia and its trading partners: does trade intensity matter?

We investigate the extent and manner of stock market interdependence between Australia and its trading partners and examine whether this is affected by trade intensity. Based on trade intensity, we classify Australia’s trading partners into major, medium and minor partners. We hypothesize that markets with greater (lower) trade intensity will be more (less) interdependent with Australia. We perform correlation (unconditional and conditional) analyses between Australia and its trading partners. Our results indicate that most of the markets that are highly correlated with Australia are its major trading partners. We conduct panel regression analysis to investigate whether trade intensity has any impact on the stock market correlations between Australia and its trading partners. The results show that trade intensity significantly and positively affect the correlations of Australia with its major trading partners. Thus, the results confirm our hypothesis that trade intensity drives stock market interdependence between Australia and its trading partners.     

A New Typology for Economic Sectors with a view to Policy Implications

This paper is an attempt to tease out a typology of economic sectors based on a systems approach to innovation and economic growth that may be useful for policy analysis. The typology explored here revolves around novel products rather than ethereal knowledge-producing entities. This insight goes back to Allyn Young (1928) and Joseph Schumpeter (1934) who argued that the introduction of new goods was the engine of economic growth. More precisely, our typology of sectors focuses on novel products which are efficiency-enhancing within and between sectors through the market mechanism. The scheme revolves around the relationship between 'Enabling' and 'Recipient' sectors (which gives the typology its name: ER), and offers a lens for viewing and interpreting a substantive part of the mechanics of modern economic growth. The last part of the paper briefly discusses a few immediate policy implications, although it has the potential for greater use and value in this regard.     

Exploring sources and outcomes of trust and commitment to nonprofit organizations: The case of Amnesty International Portugal

The interactions between customers and organizations have been regarded as a core aspect in cocreating and developing new products and practices. The current study explores these interactions in the context of citizens and nonprofit organizations. The study comprises two parts: (a) a qualitative approach using interviews and the analysis of social networks to better understand the organization's social media marketing practices and corresponding outcomes and (b) a quantitative approach to analyze antecedents and outcomes of trust and being committed to participate in a nonprofit organization such as Amnesty International. From the qualitative approach, the findings highlight that Amnesty International uses social media (Facebook) to share information, and citizens tend to consider sharing posts, but they do not express new ideas or interact with the organization. These findings contribute to structure the model analyzed in the second stage of the research. Regarding the qualitative approach, the results show that organizational credibility is the most significant driver of trust followed by communicative ability. Affectively commitment to participation and relationship perception act as outcomes of overall commitment.     

A Nonlinear Relationship: Unemployment and Economic Growth (Construction Sector) in Spain, 1995.1–2012.2

A quadratic version of the first-difference Okun’s Law model was estimated for Spain (1995.Q1-2012.Q2). An accelerationist version of Okun’s Law was obtained, which allowed us to calculate variable Okun coefficients as well as critical points in the relationship between construction sector growth and the variation in overall unemployment. The optimal economic growth rate was determined to be 7.38 %. By applying principal components, it is demonstrated that this sector led the economic process after 1995.     

Flexible exchange rates as shock absorbers

In this paper we analyze empirically the effect of terms of trade shocks on economic performance under alternative exchange rate regimes. We are particularly interested in investigating whether terms of trade disturbances have a smaller effect on growth in countries with a flexible exchange rate arrangement. We also analyze whether negative and positive terms of trade shocks have asymmetric effects on growth, and whether the magnitude of these asymmetries depends on the exchange rate regime. We find evidence suggesting that terms of trade shocks get amplified in countries that have more rigid exchange rate regimes. We also find evidence of an asymmetric response to terms of trade shocks: the output response is larger for negative than for positive shocks. Finally, we find evidence supporting the view that, after controlling for other factors, countries with more flexible exchange rate regimes grow faster than countries with fixed exchange rates.     

Breaking the norm: An empirical investigation into the unraveling of good behavior

We present results from an artefactual field experiment conducted in rural Peru that considers whether observing non-reciprocal behavior influences an individual's decision to reciprocate. Specifically, we consider the behavior of second movers in a trust game, assessing whether their decision to reciprocate is influenced by the observed reciprocity of others. In documenting the impact of an external shock to observed reciprocity, this paper shows that small increases in non-reciprocal behavior result in an unraveling of the norm of reciprocity. Survey data is used to explore mechanisms by which this occurred. Results are not consistent with learning effects, suggesting that preferences may be changed by observing others deviating from a norm of reciprocity. These results suggest that investing in encouraging trustworthy behavior can have large benefits in situations where individuals are observing each other's behavior, such as may be the case in a new market institution.