What drives managers to insource production? Evidence from a behavioural experiment

Insourcing to countermand previous outsourcing decisions is becoming a widespread practice among firms. While the underlying performance drivers for firms (e.g., lead times, responsiveness, or security of supply) are well understood, the behavioural aspects underlying managerial decision-making processes regarding insourcing remain overlooked in empirical research. We study the effects of managers' attitudes toward insourcing, their perceived behavioural control (PBC) over the respective insourcing decision, and the effect of mimetic pressure on insourcing decision intentions and behaviour, while grounding our model in the Theory of Planned Behaviour (TPB). We test hypotheses with data gathered in a vignette-based experiment among 145 managers and apply stepwise regression analysis to find support for the positive effects of attitude and mimetic pressure on intentions to insource. Our results found no support for the effect of managers’ PBC. We find moderation effects among the internal drivers (attitude and PBC) and between internal and external drivers (attitude and mimetic pressure) on insourcing behaviour. With these findings, we provide evidence of a unique boundary condition to the TPB in the insourcing context by explaining supply chain design choices with neo-classical and behavioural theory. We emphasize important behavioural aspects in insourcing decision-making and caution supply managers in this regard.     

What drives firms' commitment to fighting corruption? Evidence from the UK

The recent leak of the FinCEN files has highlighted the widespread presence of corruption in developing and developed economies, including the UK. Accordingly, this study aims to investigate the factors that drive companies to implement measures for preventing corruption in developed countries using FTSE 350 nonfinancial firms. Specifically, the research examines the influence of corporate social responsibility (CSR) commitments, board structure, and shareholding structure on adopting strategies, policies, and procedures aimed at countering corruption. Drawing upon agency, stakeholder, and legitimacy theories, our empirical evidence supports that CSR commitments and board independence positively influence firms' engagement in anticorruption measures. Conversely, institutional and managerial shareholdings are found to have a negative association with firms' efforts to combat corruption. In addition, the study shows that the effect of board characteristics became more pronounced following the enactment of the UK Bribery Act 2010, indicating risk-averse behavior. Various models, including cross-sectional and two-stage least squares (2SLS), are employed to analyze the data. Our findings have significant implications for understanding the complex relationship between CSR, corporate governance, and the ethical infrastructure of organizations. Ultimately, our results provide valuable insights for policymakers, companies, and other stakeholders in developing effective strategies, policies, and procedures to combat corruption activities.     

Do house price developments spillover across euro area countries? Evidence from a global VAR

This paper empirically assesses the prospects for house price spillovers in the euro area, where co-movement in house prices across countries may be particularly relevant given a general trend with monetary union toward increasing linkages in trade, financial markets, and general economic conditions. A global VAR is estimated for three housing demand variables (real house prices, real per capita income, and the cost of borrowing, captured by a real long-term interest rate) on the basis of quarterly data for 7 euro area countries (Belgium, Germany, Ireland, Spain, France, Italy and the Netherlands), which together comprise nearly 90% of euro area GDP, over the period 1971–2009. The results suggest limited house price spillovers in the euro area, albeit with evidence of some overshooting in the first year after the shock, followed by a long run aggregate euro area impact of country-specific changes in real house prices related in part to the country’s economic weight. This contrasts with the impacts of a shock to domestic long-term interest rates, causing a permanent shift in house prices after 2–3 years. Underlying this aggregate development are rather heterogeneous house price spillovers at the country level, with a strong importance for weights – either economic or geographic – in governing their general magnitude. More generally, the impact of financing costs on house prices appears to have grown though time.     

Adhere to the rules or be discretionary? Empirical evidence from the euro area

Journal of Economic Interaction and Coordination - This paper constructs a framework for modelling the interaction between monetary and fiscal policies before and after the formation of the euro...     

Does the Phillips curve help to forecast euro area inflation?

We find that it does, but choosing the right specification is not trivial. Based on an extensive forecast evaluation we document notable forecast instabilities for most simple Phillips curves. Euro area inflation was particularly hard to forecast in the run-up to the Economic and Monetary Union and after the sovereign debt crisis, when the trends—and, for the latter period, also the amount of slack—were harder to pin down. Yet, some specifications outperform a univariate benchmark and point to the following lessons: (i) the key type of time variation to consider is an inflation trend; (ii) a simple filter-based output gap works well, but after the Great Recession it is outperformed by endogenously estimated slack or by “institutional” estimates; (iii) external variables do not bring forecast gains; (iv) newer-generation Phillips curve models with several time-varying features are a promising avenue for forecasting; and (v) averaging over a wide range of modelling choices helps.     

Does competition prevent industrial pollution? Evidence from a panel threshold model

The objective of this paper is to assess the impact of competition on industrial toxic pollution by using, for the first time, a panel threshold model which allows evaluations of the main drivers of toxic releases under two different market regimes. The empirical analysis is based on a micro‐level panel dataset over the five‐year period 1987–2012. We show that this relationship is statistically significant and robust above and below the threshold, even after accounting for alternative specifications of market concentration. Specifically, we unmask an inverted V‐shaped relationship between market concentration and industrial pollution. We argue that the increasing non‐parametric regression line up to a certain concentration (threshold) level indicates a negative effect on facilities' emissions levels, whereas a decreasing line indicates a positive effect. This relationship provides new insights into environmental policy design towards abatement of industrial releases and sustainability. Finally, our empirical model remains robust under different specifications properly accounted for possible endogeneity.     

Does transaction activity predict Bitcoin returns? Evidence from quantile-on-quantile analysis

This paper uses the quantile-on-quantile regression to examine the predictive power of transaction activity for Bitcoin returns over the period from January 2013 to December 2018. We measure the Bitcoin transaction activity using trading volumes, the number of unique Bitcoin transactions, and the number of unique Bitcoin addresses. Considering the onset of structural breaks, we identify considerable effects of the heterogeneity concerning the quantiles of transaction activity, which cannot be depicted fully by the traditional quantile regression method. The empirical results show that higher transaction activity tends to predict higher/lower Bitcoin returns when the market is in a bullish/bearish state. We find that the nexus is asymmetric across quantiles, depending on the sign and size of the transaction activity, and the predictive relationship intensifies in the upper or lower quantiles of the conditional distribution. In addition, this empirical evidence is in line with the volume-return association in the equity market due to private informative and noninformative trading actions. Overall, our findings suggest that transaction activity-based strategies should be made with respect to Bitcoin market performance, specifically during extreme conditions.     

Do liberal cities limit new housing development? Evidence from California

Traditional explanations for why some communities block new housing construction focus on incumbent home owner incentives to block entry. Local resident political ideology may also influence community permitting decisions. This paper uses city level panel data across California metropolitan areas from 2000 to 2008 to document that liberal cities grant fewer new housing permits than observationally similar cities located within the same metropolitan area. Cities experiencing a growth in their liberal voter share have a lower new housing permit growth rate.     

What drives the banks' diversification decision? A dynamic nonlinear panel data approach

This paper empirically determines the drivers of functional diversification decision for 365 banks set in selected Middle East and North Africa (MENA) countries over 1988–2015. For this purpose, we use a dynamic nonlinear panel data model. Our findings reveal that both market share and financial intermediation stratify the diversification decision for the whole MENA sample. Splitting the sample shows that the risk‐adjusted profitability and the loan loss provision ratio exert a major influence over the diversification indicator for Gulf Cooperation Council (GCC) banks, whereas the net interest margin ratio, the bank market share, and financial intermediation are the major drivers of the strategic decision for the remaining non‐GCC banks.     

Can a stochastic cusp catastrophe model explain housing market crashes?

Like stock market prices, housing prices often exhibit temporary booms and busts. A possible explanation for the observed abrupt changes is offered by the stochastic catastrophe model. This paper addresses the question whether the catastrophe model can describe and predict the dynamics of housing markets. We fit a stochastic cusp catastrophe model to empirical housing market data for six OECD countries, US, JP, UK, NL, SE and BE. Two different estimation approaches are considered – Cobb׳s method and Euler discretization. The analysis shows that while Cobb׳s approach describes the long-run stationary density better, Euler discretization is more tailored for time series, as it provides better one-step-ahead predictions. Proceeding using the Euler discretization method we discuss the dynamics of housing markets in terms of the multiple equilibria cusp catastrophe model. By considering the long-term interest rate as an exogenous variable we obtain new insights into the policy implications of interest rate levels, in particular concerning the stability of housing markets.     

Can fiat currencies really hedge Bitcoin? Evidence from dynamic short-term perspective

Decisions in Economics and Finance - Whereas much research has largely investigated the safe haven, diversifier and hedge proprieties of cryptocurrency, very few papers have analyzed the hedging...     

What Drives Fraud in a Credence Goods Market? – Evidence from a Field Study

This paper investigates the impact of competition on an expert firm's incentive to defraud its customers in a credence goods market. Controlling for the competence of car repair shops, their financial situation, and reputational concerns, we use and complement the data set from a nationwide field study conducted by the German Automobile Association that regularly checks the reliability of garages in Germany. We find that more intense competition lowers a firm's incentive to defraud its customers.     

How much do online consumers really value free product returns? Evidence from eBay

Consumer return rates have been steadily rising in recent years, resulting in growing costs for retailers who must manage the returns process and the disposition of returned products. This cost pressure is driven in part by extremely generous return policies, such as giving consumers a full refund upon return. Interestingly, this common retail practice of full refunds is inconsistent with the recommendations of many analytical models of returns, which nearly always show that a partial refund is optimal. Such inconsistencies between theory and practice might arise when the decision drivers included in the analytical models do not match the decision drivers in practice. It might also be the case that retailers are overly optimistic about the value that consumers assign to a full refund, and thus assume that the value of such a policy outweighs its costs. In this paper, we use data collected from eBay, where identical products are sold with different return policies, to investigate these open questions in the literature. We analyze both the return policy drivers from the retailer's perspective and the return policy value from the consumer's perspective. Our results suggest that the value of a full refund policy to consumers may not be as large as one might expect, and it also exhibits a large heterogeneity across buyers with different levels of online purchase experience. In addition, we provide empirical evidence for what has long been suspected by online retailers – that a non-refundable forward shipping charge quickly erodes any value that consumers assign to return policies. The generality of our results is limited by the fact that eBay differs from traditional retail contexts in many respects, including the fact that eBay buyers may not be representative of the general buyer population. However, our study of how eBay consumers value free returns provides new insights into an understudied area, and it can serve as a starting point for future studies of the value of return policies in other retail contexts.     

Can social media lead to labor market discrimination? Evidence from a field experiment

In this paper, we investigate the role of social media as a source of information for recruiters to discriminate applicants. We set up a field experiment over a 12‐month period, involving more than 800 applications from two fictitious applicants which differed in their perceived origins, which is an information available only from their Facebook profiles. During the experiment, an unexpected change in the Facebook layout reduced the salience of the information available on social media profiles. Before this change, a significant 41.7% gap between the two applicants callback rates highlights that personal online profiles are used by recruiters as a source of information to discriminate against applicants of foreign origin. After the layout change that mitigates our signal, the difference in callback rates fades away. This result suggests that the screening conducted by the employers does not go beyond the main pages of profiles. It also illustrates that design choices made by online platforms may have important consequences on the extent of discrimination.     

What drives dynamic connectedness of the U.S equity sectors during different business cycles?

The study investigates (i) the time-varying and directional connectedness of nine equity sectors through intra- and inter-sector volatility spillover periods and (ii) assesses the impact of state variables on aggregate volatility spillovers. The study finds about 76% of volatility linkage is associated with cross-sector volatility transmissions. Aggressive sectors, which are sensitive to macroeconomic risk, play the net volatility transmission role. Defensive sectors that are largely immune to macroeconomic risk play the net volatility receiving role. The intensity and direction of volatility transmissions among the sectors vary with economic expansion and recession periods. Over time, some sectors switching from net transmitting to net receiving role and vice versa. Macro and financial market uncertainty variables significantly impact volatility spillover at lower volatility spillover (economic expansion period) and higher volatility (economic recession periods) volatility spillover quantiles. Political signals are seemingly more imprecise and uninformative during economic expansion or low quantiles, intensifying volatility spillover. Overall, the causal effects of macro, financial, and policy uncertainty variables on aggregate volatility spillover are asymmetric, nonlinear, and time-varying. The study's result supports the cross-hedging and financial contagion views of volatility transmission across nine US equity sectors.     

Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations

This study examines the role of households’ expectations in predicting the housing boom–bust cycles in the United States. It incorporates two nonlinear features of housing price dynamics: a threshold co-movement between households’ expectations and housing price growth and a structural break in their interrelation. It uses the monthly good-time-to-buy (GTTB) index as a proxy for households’ expectations about the U.S. housing market, and employs the structural break threshold vector autoregression (SBTVAR) to specify breakpoints in housing market dynamics during the recent decades. The findings indicate that shifts in interactions between households’ expectations and housing price growth are synchronous with the recent housing boom–bust cycles. The SBTVAR framework outperforms other models as it captures more of the housing market's unique dynamic characteristics. The GTTB index, which governs expectation regime-switching patterns, is able to signal the recent housing bust three periods in advance.     

What Do Wages Add to the Health‐Employment Nexus? Evidence from Older European Workers

The role of wages in the health‐employment nexus can be important for designing employment policies aimed at older workers with health limitations. We, therefore, estimate the direct effect of health on employment and hours worked and its indirect effect that is mediated through wages using individual‐level panel data from SHARE. The endogeneity of self‐reported health is controlled for by instrumenting it with severe health conditions in a correlated random effects model. For men, we find that the direct effects of health deterioration, as measured by a reduction in health from the 75th to the 50th percentile of the health distribution, are about a 20% point lower employment probability and about 171 fewer hours worked per year. The indirect health effects through wages work in the opposite directions as health positively affects wages and wages negatively affect employment and hours worked. The total effects of this health deterioration amount to a 12% point lower employment probability and 95 fewer hours worked per year. In particular our finding of a large direct health effect on employment suggests an instrumental role for policy aimed at accommodating workers with health limitations to keep them employed at older ages.     

What drives financial performance-resource efficiency or resource slack?: Evidence from U.S. Based Manufacturing Firms from 1991 to 2006

Extant research in operations management has revealed divergent insights into the value potential of resource efficiency. While one view relates efficiency with good operations management and asserts that slack resources are a form of waste that should be minimized, the other view suggests that limited resource slack can impose heavy costs on firms by making them brittle. In this research, the authors build on these views to investigate the relationship of inventory, production, and marketing resource efficiency of firms with three metrics of financial performance (i.e., Stock-Returns, Tobin's Q, and Returns-on-Assets). The authors evaluate the theoretical framework using secondary information on all U.S. based publicly-owned manufacturing firms across the 16-year time period of 1991-2006. Analysis utilizing a mixed-model approach reveals that a focus on resource efficiency is positively associated with firm financial performance. However, findings also support the arguments favoring slack, indicating that the financial gains from resource efficiency exhibit diminishing returns.     

What is a strategic acquisition? Decision modeling in support of foreclosed housing redevelopment

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set of acquisition candidates. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for CDC acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the CDC. We conclude by proposing a multi-criteria decision model for foreclosed housing acquisition and redevelopment which incorporates a theory of residential housing impacts for which strategic value measures are a special case.     

Do Business Executives Give More to Their Alma Mater? Longitudinal Evidence from a Large University

The novel contribution of this research is the examination of the gift‐giving patterns of alumni business executives of a large urban public university. Our results reinforce the earlier findings that male alumni in Greek social organizations gave more to their alma mater. New insights unique to this study are that alumni with the higher‐order executive job titles are more charitable. Further, the number of known other gift‐giving alumni and friends seems to positively impact giving. The national athletic championship wins are also significant positive drivers of alumni giving in the championship year, as well as in the succeeding nonchampionship year.