Business economics in a post-truth era

Business economists face increasing challenges at this political and policymaking juncture. “Experts” and economists are out of favor with the public and with certain policymakers. In response, business economists should be frank about our failures and the limits of our models. We can then be ready to defend truth against falsehood. In our defense of fact-based decision making, we must first assert that data matter, and the unbiased integrity of that data matters. We must support and defend the work of the Bureau of Economic Analysis, the Bureau of Labor Statistics, and the Census Bureau. Business economists must be story tellers, transmitting historical memory of past crises, of past attacks on our profession and data sources (such President Nixon’s targeting of the Bureau of Labor Statistics).     

Intensity of R&D competition and the generation of innovations in heterogeneous setting

This paper discusses the role of technological spillovers and technological races in dynamic strategic interactions setup. Two firms invest simultaneously into new products creation and into further development of the quality of these products. Each firm may benefit from the costless technological spillover in case of technological leadership of the other firm. At the same time they cooperate in the joint creation of new products. Three different scenarios emerge: constant technological leadership, the technological leapfrogging and symmetric outcome with or without potential spillovers. R&D is maximal for the first scenario and minimal for the symmetric play under the threat of spillover with endogenous specialization of firms’ activities in cases of constant leadership and leapfrogging. Definition of technological competition intensity as inverse to the technology gap allows to recover inverted-U relationship between those two in a multidimensional context.     

An algorithm for panel ANOVA with grouped data

In this paper, we present an algorithm suitable for analysing the variance of panel data when some observations are either given in grouped form or are missed. The analysis is carried out from the perspective of ANOVA panel data models with general errors. The classification intervals of the grouped observations may vary from one to another, thus the missing observations are in fact a particular case of grouping. The proposed Algorithm (1) estimates the parameters of the panel data models; (2) evaluates the covariance matrices of the asymptotic distribution of the time-dependent parameters assuming that the number of time periods, T, is fixed and the number of individuals, N, tends to infinity and similarly, of the individual parameters when T → ∞ and N is fixed; and, finally, (3) uses these asymptotic covariance matrix estimations to analyse the variance of the panel data.     

Inflation and the Exchange Rate: The Role of Aggregate Demand Elasticity

This paper examines the effect of aggregate demand elasticity on the exchange rate when inflation occurs. We discover that both the source of the inflation, whether demand-pull or cost-push, and the elasticity of aggregate demand with respect to the price level, are of consequence for the exchange rate. We obtain two primary conclusions. First, the effect on the exchange rate of cost push inflation is ambiguous and is partially determined by the price level elasticity of aggregate demand. In particular, and assuming that the two examined countries have equivalent aggregate supply elasticities, we conclude that the nation with the less elastic aggregate demand function will see its currency appreciate relative to the other. Second, demand-pull inflation results in an unambiguous increase in the exchange rate but the size of that increase is partially a function of aggregate demand elasticity. Assuming again that two countries have equivalent aggregate supply elasticities, that country with the more elastic aggregate demand will experience currency appreciation.     

The impact of vertical integration on inventory turnover and operating performance

This paper investigates how vertical integration may influence inventory turnover and firm operating performance. A causal model is developed to investigate the effects of vertical integration on three types of inventory, namely raw materials inventory (RMI), work in progress inventory (WIPI) and finished goods inventory (FGI). The model tests the interactions between inventory types and the consequences of inventory turnover performance on various aspects of firm performance including costs and profitability. In particular, path analysis supports systematic differences with respect to how vertical integration affects RMI, WIPI and FGI. Vertical integration has a positive effect on RMI and FGI turnover but no significant effect on WIPI turnover. FGI contributes to a reduction in supporting processes costs which causes an improvement in return on sales (ROSs). Vertical integration impacts ROS directly.     

Optimal constrained investment in the Cramer-Lundberg model

We consider an insurance company whose surplus is represented by the classical Cramer-Lundberg process. The company can invest its surplus in a risk-free asset and in a risky asset, governed by the Black-Scholes equation. There is a constraint that the insurance company can only invest in the risky asset at a limited leveraging level; more precisely, when purchasing, the ratio of the investment amount in the risky asset to the surplus level is no more than a; and when short-selling, the proportion of the proceeds from the short-selling to the surplus level is no more than b. The objective is to find an optimal investment policy that minimizes the probability of ruin. The minimal ruin probability as a function of the initial surplus is characterized by a classical solution to the corresponding Hamilton-Jacobi-Bellman (HJB) equation. We study the optimal control policy and its properties. The interrelation between the parameters of the model plays a crucial role in the qualitative behavior of the optimal policy. For example, for some ratios between a and b, quite unusual and at first ostensibly counterintuitive policies may appear, like short-selling a stock with a higher rate of return to earn lower interest, or borrowing at a higher rate to invest in a stock with lower rate of return. This is in sharp contrast with the unrestricted case, first studied in Hipp and Plum, or with the case of no short-selling and no borrowing studied in Azcue and Muler.     

Public–Private Sector Wage Gap in Australia: Variation along the Distribution

Previous research on public–private wage differentials in Australia has focused on the mean of the conditional wage distribution. Using six waves of the Household, Income and Labour Dynamics in Australia survey, this study employs quantile regressions to examine whether the sectoral wage effect varies along the wage distribution. For females, public sector wage premiums are relatively stable for almost the entire distribution. For males, they decrease monotonically and are negative for the top half of the distribution. The decomposition results show that the observed differences in individuals and job characteristics explain a substantial proportion of the sectoral wage gap.     

Cannabis use and mental health problems

This paper investigates whether cannabis use leads to worse mental health. To do so, we account for common unobserved factors affecting mental health and cannabis consumption by modeling mental health jointly with the dynamics of cannabis use. Our main finding is that using cannabis increases the likelihood of mental health problems, with current use having a larger effect than past use. The estimates suggest a dose–response relationship between the frequency of recent cannabis use and the probability of currently experiencing a mental health problem. Copyright © 2010 John Wiley & Sons, Ltd.