Strategic Sequential Bidding for Government Land Auction Sales – Evidence from Singapore

This paper studies the extent to which equilibrium land auction prices are pushed up sequentially due to strategic bidding behaviors in government land auction sales. Using a unique dataset that covers the universe of tendering prices submitted by all developers for all residential land auction sales in Singapore, we find that a tenderer’s bids are significantly higher where there was a previous land parcel sold within two years and located within four kilometers. The identified price margin decreases with time and geographic distance. Tracking sequential bids submitted by the same developer over time, we find that the incumbent winner of a previous auction is more likely to participate in subsequent nearby land sales as compared to the second-highest bidder of the same auction. However, it does not necessarily win the subsequent sites. We argue that the incumbent deliberately bids up the subsequent land prices to gain pricing advantages to their own parcels.     

On the utilization of resources: perspectives from the U.S. telecommunications industry

The issue of resource utilization is important in the resource-based stream of work, since the ability of firms to utilize resources is a key indicator of their competitive abilities. This paper specifies why some firms might be better at utilizing resources than others. Thereafter, it demonstrates how to empirically ascertain differences in resource utilization patterns between firms using the U.S. telecommunications industry as a context. The data envelopment analysis procedure (DEA), which is a firm-level resource utilization measure, is used. This procedure can be useful for the resource-based approach research agenda since performance is measured in resource terms. DEA is applied to measure variations in different dimensions of resource utilization for the firms making up the local operating sector of the telecommunications industry. The use of DEA to guide empirical research and address theoretical issues within the resource-based paradigm is illustrated, using the resource utilization index for the telecommunications firms as the measure of strategic performance. © 1998 John Wiley & Sons, Ltd.     

The antecedents of early internationalization: A configurational perspective

The literature on international business and international entrepreneurship provides multiple explanations for early internationalization. Using fuzzy-set qualitative comparative analysis, this study examines the antecedents of early internationalization for small firms based in a small economy, focusing on entrepreneurs’ attitudes toward the economic opportunities available in their domestic market, the risk of internationalizing, and the profitability of entering foreign markets. Three additional antecedents are examined: unsolicited orders, existence of underutilized capacity, and the behavior of competitors. The study uncovers three distinct combinations of antecedents that are equifinally linked to the early internationalization of small enterprises, and contributes to the literature through a multi-causal, configurational approach.     

Capital Structure and Mergers: Retrospective Evidence from a Natural Experiment

This analysis evaluates the impact of corporate debt in influencing mergers of local exchange companies in the United States telecommunications industry between 1988 and 2001. Firms’ financial structures significantly affect behavior and performance; yet no evidence has shown how firms’ financial structures influence their merger activities. The impact of corporate debt levels on the various mergers that took place during the merger wave in the sector is significantly negative for the first set of mergers carried out, and significantly negative, but with smaller impact, for the second set of mergers. The results support the idea that firms with high debt levels can be monitored carefully, precluding engagement in potentially-risky mergers so as to not engender negative financial outcomes.     

Merger Waves and Firm Growth: Contemporary Historical Evidence

This article presents the outcomes of an evaluation of the impact of the series of mergers of the local exchange companies that have taken place between 1988 and 2001 on an important measure of performance of the firms undergoing the mergers. The analysis reveals that after firms have undertaken one merger they experience little or no growth after such mergers, but the impact of second mergers on firm growth have been negative. If an important motive in undertaking mergers has been to enhance firm growth, then the merger waves that have been approved and consummated have led to performance declines. The impacts of the merger wave on the growth of the telecommunications sector firms have been negative.     

How does firm experience and institutional distance impact ownership choice in high‐technology acquisitions?

One of the critical reasons for a firm to acquire other firms is to access new technology. This study seeks to understand what ownership position a firm should take in foreign markets if the target is in a high‐technology industry. Specifically, it looks at how firm‐level experience and institutional distance could impact this ownership. Using logistic regression models on a sample of 1,091 cross‐border acquisitions undertaken by firms from 36 countries over an 8‐year time period (2001–2008), we find that when firms acquire targets in a high‐technology industry, they resort to partial acquisitions. Our analysis further suggests that when firms seek targets in high‐technology industries but have experience with acquisitions or face higher institutional distance, the likelihood of full acquisitions over partial ones increases. Study findings contribute to our understanding of the interactive relationship among technology, experience, and institutional distance in determining appropriate ownership choices.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.     

Forecasting US real house price returns over 1831–2013: evidence from copula models

Given the existence of nonnormality and nonlinearity in the data generating process of real house price returns over the period of 1831–2013, this article compares the ability of various univariate copula models, relative to standard benchmarks (naive and autoregressive models) in forecasting real US house price over the annual out-of-sample period of 1874–2013, based on an in-sample of 1831–1873. Overall, our results provide overwhelming evidence in favour of the copula models (Normal, Student’s t, Clayton, Frank, Gumbel, Joe and Ali-Mikhail-Huq) relative to linear benchmarks, and especially for the Student’s t-copula, which outperforms all other models both in terms of in-sample and out-of-sample predictability results. Our results highlight the importance of accounting for nonnormality and nonlinearity in the data generating process of real house price returns for the US economy for nearly two centuries of data.     

On characterizing the probability of survival in a large competitive economy

We consider a Walrasian exchange economy in which an agent is characterized by a utility function, a random endowment vector, and a function that specifies the minimum expenditure necessary for survival at a given price system. If at any equilibrium price system, the income of the agent is no more than the minimum expenditure for survival, it is ruined. The main results characterize the probability of ruin when the number of agents is large. The implications of stochastic dependence among agents are explored.