Health and Income Variation – A Panel Data Study on the Developed and Less Developed Economies

In this paper, human capital in the form of ‘health status’ is introduced into a neoclassical economic growth model as one of the main factors differentiating rich and poor countries. Various panel data models are used to examine how health and other growth factors affect average income in different countries. Our main empirical finding indicates that a one-year increase in life expectancy (the health status measure) raises GDP per capita by 0.5–0.9%. Based on this result, a baseline health status can be established to help poor countries achieve a targeted economic growth rate.     

R&D boundaries of the firm: An estimation of the double-hurdle model on commissioned R&D,joint R&D,and licensing in Japan

This paper studies the firm’s decisions on in-house R&D and its procurement from outside through commissioned R&D, joint R&D, and technology acquisitions (i.e., licensing-in). Using the data about 14,000 manufacturing firms in Japan, we estimate a modified double-hurdle model in which the first hurdle determines whether the firm should perform any R&D at all and the second hurdle determines whether (and how much) it should perform each mode of procured R&D. The results generally support the two major theories—the transaction cost theory and the capability theory. The estimated positive effects of firm size, in-house R&D intensity, diversification, and vertical integration support the hypothesis that capability is needed for procured R&D, while the estimated positive effect of the index of appropriability by patents supports the hypothesis that this appropriability reduces transaction costs. In addition, we found that information flow from scientific sources and that from transaction-based sources affect the three modes of procured R&D differently.     

Appropriation Of Returns From Technological Assets And The Values Of Patents And R&D In Japanese High-Tech Firms †

This paper investigates the extent that technological assets contribute to the value of the firm, using the sample of 90 Japanese firms in pharmaceutical, chemical, and electrical equipment industries. We use the firm's R&D expenditures and the number of patents (in stock) as the measures of its technological assets and show that the relative usefulness of these two measures varies across industries. Particularly, Tobin's q is positively related to the technological assets most strongly in the pharmaceutical industry. It is also most sensitive in this industry to the level of patent stock, coinciding with the view that drug patents are more effective than other patents as a means of appropriating returns from innovation. The communications equipment industry is also characterized by its q's dependence on patent stock. In addition, this industry's q is particularly sensitive to the level of net R&D investment in the most recent year, presumably because of the rapid technological progress in this industry.     

Appraising Unhappiness in the Wake of the Great East Japan Earthquake

Considering the case of the Great East Japan Earthquake, we use the experienced‐utility approach to appraise the psychological distress from disaster‐related news. We take advantage of the serendipitous timing of our original nationwide weekly panel survey that became a fitting resource for the investigation of subjective well‐being in the immediate aftermath of the earthquake. Although all of Japanese society was affected, we found geographical heterogeneity between the affected areas (Sendai and Tokyo) and the unaffected areas in terms of mental costs. Our finding reminds us of the focusing effect (Kahneman et al., 2006 ; Dolan and Kahneman, 2008 ) as captured by Schkade and Kahneman ( 1998 ) in the maxim “Nothing in life is quite as important as you think it is while you are thinking about it”.     

A new computational tool for analysing dynamic hedging under transaction costs

This paper highlights a framework for analysing dynamic hedging strategies under transaction costs. First, self-financing portfolio dynamics under transaction costs are modelled as being portfolio affine. An algorithm for computing the moments of the hedging error on a lattice under portfolio affine dynamics is then presented. In a number of circumstances, this provides an efficient approach to analysing the performance of hedging strategies under transaction costs through moments. As an example, this approach is applied to the hedging of a European call option with a Black–Scholes delta hedge and Leland's adjustment for transaction costs. Results are presented that demonstrate the range of analysis possible within the presented framework.     

R&D investment of start-up firms: does founders’ human capital matter?

This article examines whether founders’ human capital affects not only actual investment but also required investment in research and development (R&D), using the original data of Japanese start-up firms. The estimation results indicate that higher levels of founders’ human capital, especially their education levels, increase both actual and required investment in R&D and thus do not necessarily contribute to reducing the funding gap for R&D.     

Risks and farmers’ investment in productive assets in Nigeria

The majority of farmers in sub‐Saharan Africa (SSA) lack the means to mitigate the impact of risks associated with rainfall and commodity prices due to capital constraints and the imperfect insurance market in these countries. Because most SSA farmers are risk averse, they may be willing to invest in productive assets that can mitigate the impacts of such risks if their capital constraints are relaxed through external financial assistance. We test this hypothesis by using panel data on investment behavior of Nigerian farmers who received financial assistance on productive assets. The empirical results show that farmers facing higher rainfall risks are more likely to invest in irrigation pumps that can mitigate the impact of rainfall risks, while those facing higher risks of white gari price are more likely to invest in milling machines that enable them to process cassava into flour instead of gari, which supports our hypothesis.     

Sales location among semi‐subsistence cassava farmers in Benin: a heteroskedastic double selection model

In much of rural Africa, high transaction costs limit farmers’ market participation and thus their potential for income growth. Transaction costs can affect not only whether a farmer sells product but also whether sales occur at the farm gate or at a market. If production behavior is related to a chosen sales location, then analysis of interventions can be improved by explicit consideration of the decision of where to sell. This article develops a double‐selection model that explains consumption and production decisions by semi‐subsistence farmers who first decide whether to be a seller and then whether to sell at the farm gate or at an off‐farm location before deciding on production and consumption. The study tests the validity of this dual‐criteria model against a single‐criterion model in which a grower first decides to be a seller and then decides production, consumption, and sales location simultaneously. The results suggest that the dual‐criteria model provides more information than the single‐criterion model using a sample of cassava producer in Benin.     

Pricing Discrete Barrier Options Under Stochastic Volatility

This paper proposes a new approximation method for pricing barrier options with discrete monitoring under stochastic volatility environment. In particular, the integration-by-parts formula and the duality formula in Malliavin calculus are effectively applied in pricing barrier options with discrete monitoring. To the best of our knowledge, this paper is the first one that shows an analytical approximation for pricing discrete barrier options with stochastic volatility models. Furthermore, it provides numerical examples for pricing double barrier call options with discrete monitoring under Heston and λ-SABR models.     

A trend filtering method closely related to $$\ell _{1}$$ trend filtering

The filtering method developed by Kim et al. (SIAM Rev 51:339–360, 2009), \(\ell _{1}\) trend filtering, is attractive because it enables us to estimate a continuous piecewise linear trend. This paper introduces a new filtering method closely related to \(\ell _{1}\) trend filtering in order to contribute to the accumulation of knowledge on \(\ell _{1}\) trend filtering. We show that the piecewise linearity, which is the key feature of \(\ell _{1}\) trend filtering, is derived from the new filtering. For this reason, we refer to the filtering as ‘pure’ \(\ell _{1}\) trend filtering. We also demonstrate some other miscellaneous results concerning the new filtering.