Real option valuation of public sector R&D investments with a down-and-out barrier option

This paper presents a real options approach for valuing public-sector research and development projects, using a down-and-out barrier option. Specifically, it considers the potential savings to the tax payer for investing in technology to be purchased by a national government. The valuation is performed with stretched trinomial lattices. Government-driven demand for this technology is equated with the underlying asset, and valuation measured in terms of potential government savings. Two variables, volatility of demand for the technology and unit cost, are treated as uncertain. A Monte Carlo simulation is performed to understand the effects of these variables on the valuation. Other variables are estimated, and a parametric analysis is performed to understand the effects of these variables. To illustrate how this approach could be used, the development of a new sensor, to be used in large networks that track greenhouse gas fluxes, is considered as an example.     

Lifecycle‐based donor performance analysis

With charities of all sizes now having the ability to collect and store very large quantities of data about their donors on in‐house database systems, detailed donor performance analyses have an increasingly essential role to play in the effective planning and management of fundraising. If, however, such activities are to support fully the work of fundraisers then it is important that they are undertaken from the perspective of the fundraiser rather than of the specialist data analyst. This paper introduces an approach to donor performance analysis that is founded on what is termed a ‘donor lifecycle model’. The aim of this is to provide a formal analysis methodology that provides end results that can be more easily interpreted by nonspecialists and so more effectively used in support of the efficient planning of fundraising programmes. Copyright © 2000 Henry Stewart Publications     

Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model

We extend the class of dynamic factor yield curve models in order to include macroeconomic factors. Our work benefits from recent developments in the dynamic factor literature related to the extraction of the common factors from a large panel of macroeconomic series and the estimation of the parameters in the model. We include these factors in a dynamic factor model for the yield curve, in which we model the salient structure of the yield curve by imposing smoothness restrictions on the yield factor loadings via cubic spline functions. We carry out a likelihood-based analysis in which we jointly consider a factor model for the yield curve, a factor model for the macroeconomic series, and their dynamic interactions with the latent dynamic factors. We illustrate the methodology by forecasting the U.S. term structure of interest rates. For this empirical study, we use a monthly time series panel of unsmoothed Fama–Bliss zero yields for treasuries of different maturities between 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relationship between the macroeconomic factors and the yield curve data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Finally, we perform an extensive out-of-sample forecasting study. Our main conclusion is that macroeconomic variables can lead to more accurate yield curve forecasts.     

Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies

Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies. Spatial Economic Analysis. This study examines the classic question as to whether ‘jobs follow people’ or ‘people follow jobs’ by performing a meta-analysis of 321 results from 64 Carlino–Mills studies. It is found that the results are highly divergent, but that more results point towards ‘jobs following people’ than towards ‘people following jobs’. When it comes to the reasons for the variation in results, we find that the results are mostly shaped by the geographical location, spatial resolution, and population and employment characteristics present in the data, as well as by the model’s specification, its functional form and the spatial weight matrix specification.     

Book production and the onset of modern economic growth

We provide a new data set on per capita book production as a proxy for advanced literacy skills, and assess this relative to other measures. While literacy proxies very basic skills, book production per capita is an indicator for more advanced capabilities. Growth theory suggests that human capital formation plays a significant role in creating the ‘wealth of nations.’ This study tests whether human capital formation has an impact on early-modern growth disparities. In contrast to some previous studies which denied the role of human capital as a crucial determinant of long-term growth, we confirm its importance.      

Integrated water and economic modelling of the impacts of water market instruments on the South African economy

A static computable general equilibrium model of South Africa is adapted to compare new taxes on water demand by two industries, namely forestry, and irrigated field crops. Comparisons are made with respect to both the short and the long run, in terms of three target variables, namely (i) the environment; (ii) the economy; and (iii) equity. Since the taxes on the two industries do not raise the same amount of revenue, the target variables are calculated per unit of real government revenue raised by the new taxes (also referred to as the marginal excess burdens of the taxes). The model results are robust for moderate values of the water elasticity of demand in the two industries, in both the long and the short run. The tax on irrigated field crops performs better in terms of all three the target variables in the short run. In the long run the tax on irrigated filed crops is better in terms of water saving, but reduces real GDP and the consumption by poor households.     

Lachmann and the wilderness: On Lachmann's radical subjectivism

Abstract

This paper deals with the question why in the 1940s and 1950s Ludwig Lachmann (1906–1990) failed to revive Austrian economics. Lake Keynes and Hayek, Lachmann pointed out that expectations, and hence knowledge, are important determinants of (cyclical fluctuations in) investment and economic activity. He thereby emphasized that the process of knowledge acquisition is indeterminate and open‐ended. This indeterminateness is difficult to reconcile with neoclassical attempts to provide economics with internally consistent microfoundations. This fundamental difference between his and the neoclassical research agenda explains Lachmann's failure to revive Austrian economics.     

Would helicopter money be spent? New evidence for the Netherlands

According to some economists, central banks should use ‘helicopter money’ to boost inflation (expectations). Based on a survey among Dutch households, we examine whether respondents would spend the money received via such a transfer. Our results show that respondents expect to spend about 30% of the transfer and that helicopter money would hardly affect inflation expectations. Furthermore, whether transfers come from the central bank or the government makes no difference. Finally, our results suggest that the effect of helicopter money on public trust in the ECB is ambiguous.     

Does Age Exacerbate the Gender-Wage Gap? New Method and Evidence From Germany, 1984–2014

ABSTRACT

Given theoretical premises, the gender-wage gap adjusted for individual characteristics is likely to vary according to age. This study adapts John DiNardo, Nicole M. Fortin, and Thomas Lemieux's (1996) semi-parametric technique to disentangle year, cohort, and age effects in adjusted gender-wage gaps. The study relies on a long panel of data from the German Socio-Economic Panel (SOEP) covering 1984–2015. The results indicate that, in Germany, the gender-wage gap increases over a birth cohort's lifetime, including in the post-reproductive age for some birth cohorts. The results suggest that age and gender are overlapping handicaps in the labor market and call for a policy intervention.