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.     

Trust relations in management of change

Trust is essential for the success of change, but transformational change challenges trust. This paper analyses how trust dynamics develop over time in two Danish manufacturing firms affected by major change programmes. The results show that change creates uncertainty among employees, thereby provoking intense scrutiny of management intentions and a tendency to make interpretations that exaggerate management intentions—with the end result of reduced trust. Management then react similarly with negative interpretations of employee reactions, creating a vicious cycle of reduced trust. The paper proposes a model for how change and trust interact and suggests a managerial strategy for trust repair: Strong management actions that symbolise integrity, competence and benevolence may counteract reduced trust, but if low trust turns into distrust, the result may be a deadlock that both parties find difficult to break.     

Service innovation as a political process

Service innovation processes are driven by stakeholders in interaction and are understood and sketched as a value negotiation process that consists of an iterative process of securing potential value in service. While previous research has focused on service innovation as a harmonious closed system, our study explores service innovation as a political process in which stakeholders negotiate to create and secure future value. Data are collected through interviews and participant observations in four different case studies. Our study contributes to the field by illuminating service innovation as a political process and explaining how this is operationalized. The findings also contribute to an understanding of how stakeholder resources impact a chosen strategy; the resulting strategy’s impact on the service concept vis-à-vis its potential value; and how several involved stakeholders formulate, negotiate, and secure future potential value, which are the activities that drive a service innovation process.     

On the size of fiscal multipliers: A counterfactual analysis

We point out that fiscal multipliers derived from SVAR-models include the predicted future path of policy instruments. After the initial shock, net taxes and government expenditures react to each other and are autocorrelated. In a counterfactual simulation, we report fiscal multipliers that abstract from these dynamic responses.     

Forecasting interest rates with shifting endpoints

We consider forecasting the term structure of interest rates with the assumption that factors driving the yield curve are stationary around a slowly time‐varying mean or ‘shifting endpoint’. The shifting endpoints are captured using either (i) time series methods (exponential smoothing) or (ii) long‐range survey forecasts of either interest rates or inflation and output growth, or (iii) exponentially smoothed realizations of these macro variables. Allowing for shifting endpoints in yield curve factors provides substantial and significant gains in out‐of‐sample predictive accuracy, relative to stationary and random walk benchmarks. Forecast improvements are largest for long‐maturity interest rates and for long‐horizon forecasts. Copyright © 2013 John Wiley & Sons, Ltd.