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.     

The link between economic growth and growth volatility

This paper investigates the relationship between economic growth and growth volatility through simultaneous equations system. By employing the identification through heteroskedasticity method of Rigobon (Rev Econ Stat 85:777–792, 2003) and using a panel of 158 countries over the period 1960–2010, we find that output volatility is detrimental to economic growth, suggesting that stabilization policies to mitigate short-run economic fluctuations contribute to long-run economic growth. And economic growth accelerates output variability, supporting the feedback effects from growth to the volatility. The evidence is robust to a number of sensitivity tests.     

Hysteresis vs. natural rate of US unemployment

This paper investigates the stochastic nature of the unemployment rate allowing for cross-section dependence from a panel of US state-level data. We first employ the PANIC method to identify the common and idiosyncratic components. Powerful recursive mean adjustment (RMA) methods are used to test for unit roots. We find significant evidence of a nonstationary common component when the data from the most recent recession are included. Even when stationarity is empirically supported, the bias-corrected half-life of the common component appears very long, casting doubt on the usefulness of the natural rate hypothesis.     

An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes

In recent years, many industrial firms have been able to use roadmapping as an effective process methodology for projecting future technology and for coordinating technology planning and strategy. Firms potentially realize a number of benefits in deploying technology roadmapping (TRM) processes. Roadmaps provide information identifying which new technologies will meet firms' future product demands, allowing companies to leverage R&D investments through choosing appropriately out of a range of alternative technologies. Moreover, the roadmapping process serves an important communication tool helping to bring about consensus among roadmap developers, as well as between participants brought in during the development process, who may communicate their understanding of shared corporate goals through the roadmap. However, there are few conceptual accounts or case studies have made the argument that roadmapping processes may be used effectively as communication tools. This paper, therefore, seeks to elaborate a theoretical foundation for identifying the factors that must be considered in setting up a roadmap and for analyzing the effect of these factors on technology roadmap credibility as perceived by its users. Based on the survey results of 120 different R&D units, this empirical study found that firms need to explore further how they can enable frequent interactions between the TRM development team and TRM participants. A high level of interaction will improve the credibility of a TRM, with communication channels selected by the organization also positively affecting TRM credibility.     

Asymmetric stabilizing impact of international reserves

This article studies international reserves’ nominal exchange rate stabilizing impact in emerging markets and developing countries, with a particular focus on its nonlinearity and asymmetry across different states of the economy. Using the fixed-effects and dynamic panel threshold models, we find the reserves to short-term debt threshold ratio after which the marginal stabilizing effect of reserves begins to fall during tranquil times. Such diminishing returns, however, do not appear to exist even at the excessive level of reserves during the global financial crisis, partly justifying precautionary demand for international reserves. These results call for extending reserve pooling or swap arrangements to enhance efficiency of reserve management by holding adequate, rather than excess, international reserves with an access to emergency lending during the crisis.     

Are social entrepreneurs more risk-averse?

We have a conventional wisdom that risk-seeking behaviours are related to commercially oriented entrepreneurs. For this reason, most studies have focused on the context of commercial entrepreneurship, and thus we do not know the risk propensity of social entrepreneurs. Using the PSM method, contrary to our wisdom, we find that social entrepreneurs tend to more have about 15% risk-seeking propensity than commercial entrepreneurs.     

Do gender and age impact the time‐varying Okun's law? Evidence from South Korea

This study investigates the time‐varying Okun's law for different age and gender cohorts in South Korea over the 1980–2014 period. We found that the absolute value of the estimated Okun coefficients for all age cohorts and both genders become larger in a recession than in an expansion. We also found that the youth cohort (15–24 years old) for both genders is more sensitive to a negative economic impact than are older cohorts. These differences imply that when policymakers try to find a way of reducing the unemployment rate, they should consider differences in behaviour among these groups. Furthermore, the policies should be combined with age‐specific policies.     

The price relationship between organic and non-organic vegetables in the U.S.: evidence from Nielsen scanner data

This study investigates price relationships between organic and conventional carrots, tomatoes, and lettuce in the U.S. utilizing Nielsen scanner data from 2006–2015. We employ a threshold vector error correction model (TVECM), threshold vector autoregressive model (TVAR), and threshold cointegration test to test whether market integration exists between organic and conventional vegetables as well as the existence of asymmetric price transmission. The results find positive long-run relationships between organic and conventional prices of carrots and tomatoes and show the existence of asymmetric price transmission in price pairs of lettuce and tomatoes. Our findings suggest that the price relationship between organic and conventional vegetables varies by characteristics, such as shelf life, volatility in the price premium, and substitutability.     

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.     

Predicting bid prices by using machine learning methods

It is well-known that empirical analysis suffers from multicollinearity and high dimensionality. In particular, this is much more severe in an empirical study of itemized bids in highway procurement auctions. To overcome this obstacle, this article employs the regularized linear regression for the estimation of a more precise interval for project winning bids. The approach is put to the test using empirical data of highway procurement auctions in Vermont. In our empirical analysis, we first choose a set of crucial tasks that determine a bidder’s bid amounts by using the random forest variable selection method. Given the selected tasks, project bid forecasting is conducted. We compare our proposed methodology with the least square linear model based on the bias and the standard root mean square error of the bid estimates. There is evidence supporting that the suggested approach provides superior forecasts for an interval of winning bids over the competing model. As far as we know, this article is the first attempt to provide reference bids of highway construction contracts.