When and Why Do Takeovers Lead to Fraud?

This paper develops a model explaining how acquisitions of controlling block ownership can facilitate post‐takeover fraud by new managers when investor protection is poor. Based on disclosures of embezzlement or breach of fiduciary duty in Korean firms, we find that the probability of explicit looting in takeover targets is 13%, almost five times as large as a matched sample of non‐targets. Post‐takeover frauds are primarily driven by transfers of minority blocks, while the corresponding probability in majority acquisitions is statistically indistinguishable from the non‐targets. These findings may explain why minority acquisitions of controlling blocks are popular under poor investor protection.     

Price discovery and volatility spillover in spot and futures markets: evidences from steel-related commodities in China

The price discovery and spillover effect are significant indicators in futures markets. This study examines the price discovery and spillover effects using vector error correction model and generalized autoregressive conditional heteroskedastic for seven types of steel products in Chinese spot and futures markets. The results show that the price discovery exists in all of steel futures market. It is also confirmed that futures prices in all items are mainly leading spot prices via permanent-transitory and information share. In the results of spillover effects, it is found that wire rod, coking coal, coke and silico-manganese have the effects between spot and futures market. In rebar market, there is the spillover effect from spot to futures. This information about futures prices can help the market participants to make decisions when they predict the spot prices.     

Estimating the effects of monetary policy shocks: does lag structure matter?

This paper examines the implications of lag structure for estimating the effects of monetary policy shocks in a VAR. A symmetric lag structure in which all variables have the same lag length and an asymmetric lag structure in which the lag length differs across variables but is the same for a particular variable in each equation of the model are examined. This is important in light of the fact that the true lag structure is generally not known. Four commonly used identification schemes are employed to identify monetary policy shocks. Monte Carlo simulations strongly indicate that the lag structure of a VAR model does matter when assessing the quantitative effects of monetary policy shocks. Given the inherent uncertainty about the true lag structure in practice, it is thus important that one compare the impulse response functions from both symmetric lag and asymmetric lag VARs in assessing the effects of monetary policy shocks.     

Counterfactual analysis of bank mergers

We introduce a counterfactual analysis of banks mergers, combining the pre-merger equilibrium setting with post-merger environmental characteristics, while accounting for endogenously propagated changes in market structure. Using this procedure we are able to estimate the effects on loan flows and interest rates that would have been observed if the pre-merger equilibrium was not altered. Results are obtained for firms, households, and banks inside and outside the merging circles separately. We find that mergers increased firms’ access to credit, but had an opposite effect on households and led to a widespread decrease in interest rates.     

Patterns of technology life cycles: stochastic analysis based on patent citations

Patent analysis has been considered as an effective means of estimating phases of a technology life cycle. However, previous studies have not considered the dynamic and idiosyncratic aspects of a technology’s progression since they were based on deterministic methods, mainly fitting s- or double s-shaped curves to patent application counts. Moreover, previous methods cannot be executed at the individual patent level. We propose a stochastic technology life cycle analysis to trace the phases of a technology’s progression based on patent citations and identify the patterns of technology life cycles at the individual patent level. At the heart of the proposed approach are a hidden Markov model to estimate the probability of a system being at a certain hidden state from observation and cluster analysis to group a set of objects according to their similarities. A case study of patents about laser technology in lithography is presented.     

Relative prices and the demand for money

This paper examines the validity of the conventional specification of money demand with particular reference to the issue of relative prices. It is shown that the conventional money demand function is based on the assumption of weak separability of money from commodities, which forms the basis for the absence of relative prices in money demand. Empirical and presumptive evidence suggests that weak separability is not tenable, implying that relative prices are important in money demand. The inclusion of commodity prices in money demand significantly affects the interest and income elasticity estimates. Finally, it is noted that the aggregate consumption function excluding commodity prices also has no theoretical and empirical base.     

Economic modeling for the US of the cost-efficiency and associated expanded treatment access of conversion to biosimilar pegfilgrastim-bmez from reference pegfilgrastim

Abstract

Aims: For this economic analysis, we aimed to model: (1) the cost-efficiency of prophylaxis with biosimilar pegfilgrastim-bmez for chemotherapy-induced (febrile) neutropenia (CIN/FN) compared to reference pegfilgrastim, and (2) the expanded access to CIN/FN prophylaxis and anti-neoplastic treatment that could be achieved with biosimilar cost-savings on a budget-neutral basis.

Methods: In a hypothetical panel of 20,000 cancer patients receiving CIN/FN prophylaxis and using the average sales price (ASP) for the second quarter of 2019 for reference pegfilgrastim, we: conducted an ex ante simulation from the payer perspective of the cost-savings of 10–100% conversion from reference to biosimilar pegfilgrastim-bmez using drug price discounting ranging from 10–35%; estimated the budget-neutral expanded access to biosimilar pegfilgrastim-bmez enabled by these cost-savings; and estimated the budget-neutral expanded access to anti-neoplastic treatment with pembrolizumab. The simulations were replicated using fourth quarter 2019 wholesale acquisition cost (WAC) for reference pegfilgrastim and biosimilar pegfilgrastim-bmez in a post facto analysis.

Results: In ASP simulations, cost-savings of using pegfilgrastim-bmez over reference pegfilgrastim in a 20,000 patient panel range from $1.3?M (at 15% price discount) to $3?M (35%) at 10% conversion rate and from $6.4?M to $14.9?M, respectively, at 50% conversion. These savings could provide prophylaxis with pegfilgrastim-bmez to an additional 352 (15% discount) to 1,076 patients (35%) at 10% conversion or 1,764–5,384, respectively, at 50% conversion. Alternatively, savings could be reallocated for anti-neoplastic treatment with pembrolizumab to 3 (15% discount) to 9 (35%) patients at 10% conversion or 19–45, respectively, at 50% conversion. When utilizing WAC, cost-savings range from $4.6?M (10% conversion) to $23.1?M (50%) which could provide pegfilgrastim-bmez to an additional 1,174 (10% conversion) to 5,873 patients (50%).

Conclusions: Prophylaxis with biosimilar pegfilgrastim-bmez increases the value of cancer care by generating significant cost-savings that could be reallocated to provide expanded access to CIN/FN prevention and anti-neoplastic therapy on a budget-neutral basis.     

Sources of fluctuations in hours worked for Canada,Germany, Japan and the U.S.: a sign restriction VAR approach

This study empirically examines the sources of fluctuations in hours worked in Canada, Germany, Japan and the U.S. It is particularly motivated by Galí’s (1999) VAR study, which demonstrates that a positive technology shock reduces hours worked, at least in the short run. However, in the present study, a technology shock is identified without recourse to Galí’s long-run restriction, which has been subject to active controversy. Furthermore, this study uncovers other important sources of fluctuations in hours worked to reflect the concern, raised by numerous studies, that technology shocks leave most variations in hours worked unexplained. Specifically, there are six shocks underlying our model, and they are identified using a set of sign restrictions. The empirical results confirm that in all four countries, a positive technology shock significantly reduces hours worked. This technology shock, along with labor supply and demand shocks, accounts for most of the short-term variations in hours worked. As the forecasting horizon increases, technology and demand shocks become less important, whereas labor supply shocks contribute to explaining the bulk of long-run variations in hours worked. Finally, the empirical relevance of Galí’s long-run identification restriction is tested and the results are related to those obtained using the sign restriction model.     

The changing pattern of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s?

The notion of the knowledge-based economy highlights the strategic importance of inter-industrial knowledge flows. Among others, the crucial role of information and communications technology (ICT) industry is emphasized. The pattern whereby technological knowledge is created, accumulated and disseminated through the interactive learning among industries can be portrayed as a network. Based on the network theory, this empirical study analyses, from the dynamic perspective, inter-industrial technological knowledge structure of Korean industries during the reference period of early 1980s to mid-1990s. Overall, the density of the network increased over time, implying that the knowledge network has expanded and intensified. The role of the ICT industry in the global network has also increased but needs to be further strengthened, especially informatization of non-ICT industries by the outflow of ICT industrial knowledge in the future. The findings in turn render some important policy implications that should be addressed in developing technology policy.