This Little Piggy Went to Market with a Passport: The Impacts of U.S. Country of Origin Labeling on the Canadian Pork Sector

This paper examines the potential impacts of U.S. mandatory country of origin labeling. North American hog and pork markets are represented as vertically related in a partial equilibrium non-spatial model. A synthetic model is calibrated to historic data and then used to trace the program's added costs as they are passed through the market to determine who wins and who loses. The transactions costs reduce the welfare of all agents in the United States. Canadian welfare depends primarily on whether mixed supply chains continue to be accepted in the United States and trade in hogs continues. A closed border significantly reduces the welfare of Canadian hog producers and increases the welfare of Canadian pork processors.
Le présent article porte sur les répercussions éventuelles de l'étiquetage obligatoire du pays d'origine réclamée par les États‐Unis. Les marchés nord-américains du porc vivant et de la viande de porc sont représentés comme étant verticalement liés dans un modèle non spatial d'équilibre partiel. Un modèle synthétique est étalonné avec des données historiques et est ensuite utilisé pour déterminer les coûts supplémentaires qu'occasionne le programme à mesure qu'ils sont répartis sur le marché pour déterminer les gagnants et les perdants. Les coûts de transaction diminuent le bien‐être de tous les agents aux États‐Unis. Le bien-être au Canada dépend principalement de l'acceptation ou non des chaînes d'approvisionnement mixtes et de la continuité ou non du commerce du porc vivant. La fermeture des frontières diminue considérablement le bien-être des producteurs de porcs canadiens et augmente celui des transformateurs de porcs canadiens.     

Managerial actions and stock transactions during financial distress: Some empirical evidence

Should the current managers remain in control of the firm during financial distress? We address this issue by examining whether managers who take value-maximizing actions also refrain from abnormal selling of their own shares in the firm. Our empirical results show that managers in the action firms do not engage in abnormal selling even during periods of frequent earnings losses. These managers exhibit higher net purchases than the nonaction managers. Thus, trading behavior of the managers and the actions taken during poor performance both appear to be consistent with stockholder interests.     

The relationship between laissez-faire leadership and burnout: Mediation through work alienation and the moderating role of political skill

We tested the relationship between laissez-faire leadership and job burnout and the mediating role of work alienation in this relationship. We also examined the moderating role of political skill in the relationship between laissez-faire leadership and burnout. Based on time-lagged (three waves, two months apart) survey data collected from 272 employees in 92 firms operating in China, our results showed that laissez-faire leadership was positively related to burnout both directly and via work alienation. Moreover, the positive relationship between laissez-faire leadership and burnout was contingent on political skill, such that the relationship was weak when political skill was high. The study provides useful suggestions to help managers curb employees' feelings of burnout and work alienation.     

Using CRM to Model Firm Performance in a Business-to-Business Market

Customer relationship management (CRM) is the widely accepted approach for gathering, examining, understanding and translating information related to customers into managerial action. CRM is investigated in the context of new product performance (NPP). CRM enhances NPP as well as firm performance. This study investigates the impact of CRM on NPP through the moderation of top management support and an innovative culture, as well as the impact of CRM on firm performance through the mediation of NPP. A questionnaire survey is used for data collection from marketing managers of 159 firms in Pakistan in the B-to-B market. Hypotheses were tested using SEM in SMART PLS. This research shows that CRM directly affects firm performance, while NPP partially mediates the relationship of CRM and firm performance. These findings have significant implications for the practitioner. This study delivers insights to managers and academicians about the role of CRM in enhancing NPP and improving firm performance. In general, the study provides new insights into CRM by integrating top management support and an innovative culture. The research extends our understanding that top management support and innovative culture do not moderate the relationship of CRM with new product performance in a B-to-B context.     

Managerial risk-taking incentives and the systemic risk of financial institutions

Review of Quantitative Finance and Accounting - This paper examines whether the systemic risk of financial institutions is associated with the risk-taking incentives generated by executive...     

Human capital inequality and income inequality: testing for causality

This study investigates the causal relationship between human capital inequality and income inequality in case of Pakistan. The annual time series data ranging from 1973 to 2009 is used for econometric analysis. Johanson co-integration and Granger Causality tests are used to confirm the existence of long run relationship and the causal relationship between human capital inequality and income inequality. The results indicate that there is positive relationship between the two types of inequalities in the long run. The estimates of causality test indicate that income inequality causes the human capital inequality but human capital inequality does not cause income inequality. Policy initiatives to reduce income inequality may empower people economically to avail skill building opportunities and accumulate their human capital through access to educational services.     

Leaving studies because of lack of interest: an analysis of the risk factors of school dropouts in Pakistan

Quality & Quantity - Among all the students dropping out of school for different reasons in Pakistan in 2017, nearly 23% of the students dropped out because they were not...     

A Comparison of Consensus and BVAR Macroeconomic Forecasts

This paper provides a one-month-ahead, macroeconomic, Bayesian Vector Autoregressive (BVAR) forecasting approach that offers several advantages over conventional short-term forecasting procedures. In particular, it produces more accurate forecasts than the Bloomberg consensus forecasts, on average, for 20 major macroeconomic variables. In addition to a quantitative comparison of BVAR and Bloomberg consensus forecast, the paper focuses on five important areas of macroeconomic forecasting: the role of short-term macroeconomic forecasting, the importance of a robust forecasting approach, the importance of timing of data releases, forecast evaluation criteria, and the importance of changing model specifications as conditions warrant.     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.     

Mimicking repurchases

We study the tendency of firms to mimic the repurchase announcements of their industry counterparts. We argue that a firm, by repurchasing its shares, sends a positive signal about itself and a negative one about its competitors. This induces the competing firms to mimic the behavior of the repurchasing firm by repurchasing themselves. Using a broad sample of US firms from the period 1984–2002, we show that, in concentrated industries, a repurchase announcement lowers the stock price of the other firms in the same industry. The other firms react by repurchasing themselves to undo these negative effects. Repurchases are chosen as a strategic reaction to other firms’ repurchase decisions and are not motivated by the desire to time the market, i.e., to take advantage of a significantly undervalued stock price. Therefore, repurchasing firms in more concentrated industries experience a lower increase in value in comparison with their counterparts in less concentrated industries in the post-announcement era. Alternative methodologies used to estimate long-term performance confirm that it is only the repurchasing firms in low concentration industries that outperform the market, their non-repurchasing peers, and their counterparts in more concentrated industries by amounts that are economically and statistically significant.