Human capital composition, growth and development: an R&D growth model versus data

The effect of human capital composition on growth and development has been somewhat neglected in economic literature. However, evidence has suggested the importance of engineering and technical (high-tech) skills to economic growth, and international organizations have suggested their shortage in developed countries. Using a standard increasing variety growth model, we propose various measures of human capital composition that are related with economic growth and development. When compared to data, the model does well in explaining the rate of growth and the level of development as a function of these measures. “the British colonies had a better educated population (...). Education was secular with emphasis on pragmatic skills and yankee ingenuity (...). The 13 British colonies had nine universities in 1776 for 2.5 million people. New Spain, with 5 million, had only two universities (...) which concentrated on theology and law.” –(Maddison, 2001)     

Commodity Price Volatility and the Sources of Growth

This paper studies the impact of the growth and volatility of commodity terms of trade (CToT) on economic growth, total factor productivity, physical capital accumulation and human capital acquisition. We use the standard system generalized methods of moments (GMM) approach as well as the dynamic common correlated effects pooled mean group (CCEPMG) methodology for estimation to account for cross‐country heterogeneity, cross‐sectional dependence and feedback effects. Using both annual data for 1970–2007 and 5‐year non‐overlapping observations, we find that while CToT growth enhances real output per capita, CToT volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical and human capital. Productivity, however, is not affected by either the growth or the volatility of CToT. Our results also indicate that the negative growth effects of CToT volatility offset the positive impact of commodity booms. Therefore, we argue that volatility, rather than abundance per se, drives the ‘resource curse’ paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

Valuation of forward start options under affine jump-diffusion models

Under the general affine jump-diffusion framework of Duffie et al. [Econometrica, 2000, 68, 1343–1376], this paper proposes an alternative pricing methodology for European-style forward start options that does not require any parallel optimization routine to ensure square integrability. Therefore, the proposed methodology is shown to possess a better accuracy–efficiency trade-off than the usual and more general approach initiated by Hong [Forward Smile and Derivative Pricing. Working paper, UBS, 2004] that is based on the knowledge of the forward characteristic function. Explicit pricing solutions are also offered under the nested jump-diffusion setting proposed by Bakshi et al. [J. Finance, 1997, 52, 2003–2049], which accommodates stochastic volatility and stochastic interest rates, and different integration schemes are numerically tested.     

Income and religion: a heterogeneous panel data analysis

A recent empirical literature has addressed the relationship between income and religion, but most of the studies are based on microdata. Macroeconomic analysis of the issue has largely ignored the potential heterogeneity between countries. Using retrospective data on church attendance rates for a panel of countries between 1925 and 1990, we apply heterogeneous panel data estimators and reveal that the effect of participation in religious activities on income per capita is mostly non-significant. This is consistent with some of the recent research that casts doubt onto the influence of religion on income, once causality is taken into account.     

How Do Investors Interpret Announcements of Earnings Delays?

Unlike in the case of delays of 10‐K or 10‐Q filings, the SEC does not require managers to disclose delays of earnings announcements to the public. Thus, for companies that are unable to report earnings by their expected date, managers face a decision: remain silent or announce the delay. Prior research has investigated all earnings delays, whether or not they are accompanied by announcements of the delay announcement, and found that the market reaction is slightly negative, on average, for companies that allow their expected earnings dates to pass without disclosing results. It's not clear, however, whether this negative reaction was due to the absence of news or to the information contained in the announcements of the earnings delays. The authors' recent study documents that earnings delay announcements are associated with an average one‐day abnormal stock return of a negative 6%. This statistically as well as economically significant reduction in value is consistent with anecdotal evidence in the popular business press as well as predictions of disclosure theories, in particular the explanation that concerns about legal liability and managerial reputation motivate managers to disclose bad news. The study also shows that almost all managers who announce earnings delays attempt to influence the market reaction by disclosing the underlying cause. Finally, the study shows that the market reaction to earnings delay announcements is positively related to future earnings changes, consistent with the role of these disclosures in providing a signal of deteriorating financial performance.     

Intangible capital,relative asset shortages and bubbles

Purely technological factors can be a fundamental force behind the emergence of asset price bubbles in developed economies. We analyze an economy in which the production technology utilizes both physical and intangible capital, where the latter cannot be used as collateral for borrowing. Technological change, in the form of increased importance of intangible capital in production, sharpens the borrowing constraints of entrepreneurs, leading to a scarcity of high-yield assets relative to low-yield ones. This can create the conditions for asset bubbles. Additionally, due to the financial frictions, standard dynamic efficiency tests are not valid, and bubbles are not Pareto improving.     

Evaluating the impact of virtualization characteristics on SaaS adoption

Software as a service (SaaS) is a service model in which the applications are accessible from various client devices through internet. Several studies report possible factors driving the adoption of SaaS but none have considered the perception of the SaaS features and the organization’s context. We propose an integrated research model that combines the process virtualization theory (PVT), the technology-organization-environment (TOE) framework and the institutional theory (INT). PVT seeks to explain whether processes are suitable for migration into virtual environments via an information technology-based mechanism as SaaS. The TOE framework seeks to explain the effects of the intra-organizational factors, while INT seeks to explain the effects of the inter-organizational factors on the technology adoption. This research addresses a gap in the SaaS adoption literature by studying the internal perception of the technical features of SaaS and technology, organization, and environment perspectives. Additionally, the integration of PVT, the TOE framework, and INT contributes to the information system (IS) discipline, deepening the applicability and strengths of these theories.     

Public Debt,Economic Growth and Inflation in African Economies

We analyse the relationship between public debt, economic growth and inflation in a group of 52 African economies between 1950 and 2012. The results indicate that the limits of public debt are negatively related to economic growth and exhibit, from a given level of debt, an inverted U behaviour regarding the relationship between economic growth and public debt. Briefly, the high levels of public debt are coincident with reduced rates of economic growth and rising levels of inflation. Our results for three specific geographical areas resemble those of the overall analysis, despite some differences. In North African countries, the growth rates of the gross domestic product (GDP) and inflation also show an inverted U behaviour as the ratio of public debt/GDP increases. The highest rate of economic growth is recorded when the ratio of public debt/GDP is below 30% of GDP and corresponds to an average inflation rate of 5.33%. An identical behaviour of the GDP growth rates and inflation also appears in Sub‐Saharan countries until the third interval (60–90%). However, the highest growth rate of the GDP and GDP per capita is registered when the public debt/GDP ratio is in the second interval (30–60%). For the countries of the Southern Africa Development Community, the highest average rate of economic growth (6.8%) is similar to North African countries, when the ratio public debt/GDP is below 30% of GDP, with an average inflation rate of 11%. A number of robustness analyses were performed and the great majority of them confirm the general analysis.     

Costly search and consideration sets in storable goods markets

Costly search can result in consumers restricting their attention to a subset of products–the consideration set–before making a final purchase decision. The search process is usually not observed, which creates econometric challenges. I show that inventory and the availability of different package sizes create new sources of variation to identify search costs in storable goods markets. To evaluate the importance of costly search in these markets, I estimate a dynamic choice model with search frictions using data on purchases of laundry detergent. My estimates show that consumers incur significant search costs, and ignoring costly search overestimates the own-price elasticity for products more often present in consideration sets and underestimates the elasticity of frequently excluded products. Firms employ marketing devices, such as product displays and advertising, to influence consideration sets. These devices have direct and strategic effects, which I explore using the estimates of the model. I find that using marketing devices to reduce a product’s search cost during a price promotion has modest effects on the overall category revenues, and decreases the revenues of some products.