Supplier empowerment: Mediating situational factors and perceived performance

The understanding of the behavioral and cognitive factors that affect organizations' performance has attracted increasing attention of scholars and practitioners. Based on the literature of psychological empowerment at the individual and the team levels, this study develops the concept of supplier empowerment in the context of purchasing and supply management. Further, this study proposes a research model that explores the role of supplier empowerment as a cognitive concept in mediating the relationship between situational factors (a supplier's process modularity and the mutual trust with its customers/buyers) and the supplier's perceived performance in its operations and customer service. This model is tested with 208 responses from automotive industry suppliers. The findings highlight the importance of empowered suppliers in decreasing inventory levels and increasing order fulfillment performance.     

A train of thought in product experientiality: Working memory,distraction, and inconsistencies in cue order effects

The sequence of informational cues and the level of distraction have an impact on the judgment of a product’s quality and preference. Two quasi-experimental studies (N_total = 340) investigate the influence of the force behind the processing of these cues – working memory (WM). Previous research found that, in the presence of a distractor, high WM individuals are more able to recall the initial cue, and thus derive their product judgment from the initial strong cue. Study 1 contradicts these findings and raises important methodological questions regarding the conceptualization of strong and weak cues. Specifically, commonly accepted strong cues (e.g., product reputation) might not influence consumers as expected. Additionally, in a sequence of product evaluation with high vs. low degree of experientiality, study 2 reveals that consumers tend to show a primacy effect that is stronger for higher levels of WM capacity. Moreover, in a sequence of assessing low vs. high degree of experientiality products, consumers reveal stronger recency effects, thus showing that WM reinforces this recency effect. Our findings have important implications for marketers by suggesting that consumers with high WMC are more able to process complex stimuli and retrieve previously presented information on a product quality. These consumers also have a higher tendency to retrieve more information from product scenarios with a high degree of experientiality.     

Fire sales by euro area banks and funds: What is their asset price impact?

The assets under management of investment funds have soared in recent years, triggering a debate on their possible implications for financial stability. We contribute to this debate assessing the asset price impact of fire sales in a novel partial equilibrium model of euro area funds and banks calibrated over the period between 2008 and 2017. An initial shock to yields causes funds to sell assets to address investor redemptions, while both banks and funds sell assets to keep their leverage constant. These fire sales generate second-round price effects. We find that the potential losses due to the price impact of fire sales have decreased over time for the system. The contribution of funds to this impact is lower than that of banks. However, funds’ relative contribution has risen due to their increased assets under management and banks’ lower leverage and rebalancing towards loans. Should this trend continue, funds will become an increasingly important source of systemic risk.     

Life Course Perspective on Economic Shocks and Income Inequality Through Age-Period-Cohort Analysis: Evidence From Finland

Utilizing age-period-cohort analysis, this paper examines the development of income distribution across periodic economic fluctuations in relation to cohorts and age groups. The empirical analysis is based on the Finnish Income Distribution Statistics and Household Expenditure Surveys covering the period of 1966–2015. The findings suggest that the period and cohort effects can be identified as the main effects on relative income, while the age effects have no meaningful impact when the control variables are taken into account. This result reveals a connection between the effects of economic shocks and cohort placement on labor market entry. Additionally, absolute income analysis suggests that economic shocks create stagnation points in income development, which are especially detrimental to cohorts who are transitioning into labor markets. Additionally, middle-income attainment has not changed due to periodic shocks but rather is related to inter-cohort inequalities and relative income differences, where the baby boomer generation is a clear winner.     

Productivity changes in pre-crisis Western European banks: Does scale effect really matter?

Insofar as the completion of the Single Market for Financial Services, it has presented new challenges for European Banking industries. In this study, we use a recently developed generalized metafrontier Malmquist productivity index (gMMPI) to provide insights on productivity growth. We extend the gMMPI to broaden the index's capacity by decomposing various sources of productivity change in the metafrontier context. The sample contains commercial banks from 12 Western European countries prior to the recent financial crisis. A key advantage of our extension is that it introduces the role of scale effects. The empirical results show that an average bank's productivity growth arises mainly from technical changes and scale effects. Moreover, smaller and larger banks grow faster than medium ones. In addition, conservative banks tend to grow faster. These findings suggest that a more competitive and integrated financial market induced by financial deregulation is indeed able to improve banks’ productivity.     

Is There a Causal Effect of Working Part‐Time on Current and Future Wages?

In this paper, I study the causal effects of part‐time work on current and future wages. To estimate these effects, I use a random effects model with a wage equation capturing the employment history and a dynamic multinomial probit component for the choice of employment status. Exclusion restrictions from the institutional context are exploited to support identification. The results suggest that working part‐time with few hours has a large causal effect on current wages, but more extensive part‐time work does not reduce current wages. However, both types of part‐time work lead to negative long‐term wage effects.     

Retail channel price discrimination

This paper examines price differentials of identical items across retail channels. Many consumer packaged goods are sold through both grocery and drug stores. Liquor is unique in that in much of the country there is a third retail channel of distribution, liquor stores. If consumers in each retail channel differ in their willingness to pay for certain items, then sellers can exploit those differences and charge different prices for the same items in each channel. We examine a unique data set of pooled cross sectional retail scanner data on wine to test whether sellers use retail channel to identify heterogeneous consumer market segments and engage in price discrimination. We begin by presenting a model of price discrimination by retail channel along with behavioural assumptions regarding shoppers in each channel. Next we examine sales by retail channel and find persistent price differentials for the same item across retail channel after controlling for sample selection bias and seasonality. Lastly, we estimate the price elasticity of demand correcting for endogeneity and find differences across channel consistent with the price differentials. The extent of price differential, however, differs significantly with respect to price point.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

A Bayesian approach to excess volatility,short-term underreaction and long-term overreaction during financial crises

In this paper, we introduce a new Bayesian approach to explain some market anomalies during financial crises and subsequent recovery. We assume that the earnings shock of an asset follows a random walk model with and without drift to incorporate the impact of financial crises. We further assume the earning shock follows an exponential family distribution to accommodate symmetric as well as asymmetric information. By using this model setting, we develop some properties on the expected earnings shock and its volatility, and establish properties of investor behavior on the stock price and its volatility during financial crises and the subsequent recovery. Thereafter, we develop properties to explain excess volatility, short-term underreaction, long-term overreaction, and their magnitude effects during financial crises and the subsequent recovery. We also explain why behavioral finance theory could be used to explain many of the asset pricing anomalies, but traditional asset pricing models cannot achieve this aim.     

The Role of Financial Ratios in the Variance of Stock Trading Volume in Emerging Stock Markets

The study used quarterly panel data of 6 years from 2010 to 2015 of all companies listed on both Vietnamese stock markets including the Ho Chi Minh City Stock Exchange and Ha Noi Stock Exchange, and on three leading industries consisting of insurance-banking, foodstuff, and real estate to explore the relationship among four key financial ratios and stock trading volume. Two models, fixed effects model (FEM) and random effects model (REM), with robust standard errors, were applied for this study. The key findings showed that earnings before tax on sales, debt on owner’s equity, and owner’s equity on total assets significantly influenced trading volume.