Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

Feeling capable and valued: A prosocial perspective on the link between empathy and social entrepreneurial intentions

Empathy is a key trait distinguishing social entrepreneurs from traditional entrepreneurs, and an important antecedent of social entrepreneurial (SE) intentions. Yet, little research explains the mechanisms through which empathy motivates SE intentions. We argue that studying the link between the prosocial trait of empathy and the prosocial outcome of SE intentions requires a prosocial lens that traditional entrepreneurial intent theories cannot offer. Building on prosocial motives research, we propose that empathy explains SE intentions through two complementary mechanisms: self-efficacy (an agentic mechanism), and social worth (a communal mechanism). We find support for our hypotheses in a study of 281 university students.     

Asymmetric effects of industrial production,money supply and exchange rate changes on stock returns in Turkey

The aim of this article is twofold: First, it examines the asymmetric effects of industrial production, money supply and RER on stock returns in Turkey by using the non-linear autoregressive distributed lag (NARDL) model over the periods of 1994:01–2017:05 and 2002:01–2017:05. Second, it tries to determine whether there is a change of these macroeconomic variables’ effects on stock returns after the 2001 financial crisis since after 2002 period represents a structural break from the past in terms of economic, political and macroeconomic policy approaches. The study finds that the effects of the changes in industrial production, money supply and RER on stock returns are asymmetric, and the asymmetries are larger after the 2002 subsample compared to the full sample period. The empirical results further suggest that tight monetary policies appear to retard the stock returns more than easy monetary policies that stimulate them.     

The market reaction to announced deep cuts in capital expenditures

The objective of the study reported in this paper was to examine the role of deep cuts in capital expenditures as a firm's strategy for becoming more efficient and, in turn, more competitive. Based on an empirical study, support is provided for the argument that deep cuts in capital expenditures may be a viable strategy for realigning corporate priorities toward a more efficient operation. The measure of performance utilized in this paper is the stock market reaction to announced deep cuts.     

POSTERIOR‐PREDICTIVE EVIDENCE ON US INFLATION USING EXTENDED NEW KEYNESIAN PHILLIPS CURVE MODELS WITH NON‐FILTERED DATA

Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a set of extended New Keynesian Phillips curve (NKPC) models. It is shown that mechanical removal or modeling of simple low‐frequency movements in the data may yield poor predictive results which depend on the model specification used. Basic NKPC models are extended to include structural time series models that describe typical time‐varying patterns in levels and volatilities. Forward‐ and backward‐looking expectation components for inflation are incorporated and their relative importance is evaluated. Survey data on expected inflation are introduced to strengthen the information in the likelihood. Use is made of simulation‐based Bayesian techniques for the empirical analysis. No credible evidence is found on endogeneity and long‐run stability between inflation and marginal costs. Backward‐looking inflation appears stronger than forward‐looking inflation. Levels and volatilities of inflation are estimated more precisely using rich NKPC models. The extended NKPC structures compare favorably with existing basic Bayesian vector autoregressive and stochastic volatility models in terms of fit and prediction. Tails of the complete predictive distributions indicate an increase in the probability of deflation in recent years. Copyright © 2014 John Wiley & Sons, Ltd.     

The evolution of the monetary transmission channels in Turkey: evidence from a TVP-VAR model

This article investigates the evolution of the monetary transmission mechanisms in Turkey for the period from January 1986 to December 2016. To this aim, the impacts of monetary variables on the prices and economic activity are investigated with a time-varying vector autoregressive model based on. The evidences from the time-varying responses indicate that the adoption of inflation targeting policy has markedly affected the functioning of transmission channels. The results also suggest that local and global financial crises may magnify the impact of monetary policy shocks on the overall economy.     

Foreign banks,financial crises and macroeconomic fluctuations

Understanding the implications of increased foreign bank presence is especially compelling in periods of financial crisis. In this paper, we explore this issue by examining the relationship between the involvement of foreign banks in the banking systems and the volatility of key macroeconomic variables in normal and crisis periods. Using a sample of 20 Emerging European countries from 1998 to 2013, we find that an increase in the assets of foreign banks in the banking system reduces output and consumption growth volatility in general but does not significantly affect the volatility of investments. However, these banks were found to play a significant role in increasing output, consumption and investment volatility in 2009. Our findings suggest that foreign banks’ harmful impact during the global crisis was only temporary and that they seem to help Emerging European countries stabilize macroeconomic volatility in normal times and after the global crisis.     

Information Technology Tools in New Product Development: The Impact of Complementary Resources*,†

Emergent research has examined the antecedents to using information technology (IT) in the new product development (NPD) process and the impact of IT on NPD performance. Based on the resource‐based view (RBV) of the firm, this study hypothesizes that particular resources create IT capabilities that significantly enhance NPD outcomes. More specifically, this research extends previous work by investigating whether three complementary resources, namely an executive champion for IT, global engagement, and organizational innovativeness, influence IT capabilities (IT use frequency and IT replacement frequency), which in turn affect NPD outcomes (NPD task proficiency and NPD performance). To test the conceptual model, survey data were collected from 220 NPD and IT managers in a variety of large Japanese firms. The results show that an executive champion for IT and global engagement are predictors of both IT tool use and replacement frequency while organizational innovativeness contributes only to IT tool replacement frequency. The results also indicate that both IT tool use and replacement frequency have a positive effect on NPD task proficiency, which improves NPD performance. This research contributes to the literature by adding understanding of the role of IT in NPD at the firm level in four ways. First, it examines particular organizational complementary resources and their relationship to IT capabilities. Second, it examines the RBV and IT in the context of NPD, an important business process. Third, it measures IT usage in a more granular fashion (i.e., IT tool use frequency and IT replacement frequency) rather than simply IT usage as a dichotomy. Finally, through testing the proposed model with data collected from Japanese firms, this study provides empirical evidence from an Asian country to answer the call for more NPD research to be conducted in countries other than North American and Western European contexts. The findings of the study also provide implications for managers. Importantly, they indicate that an executive level champion for IT is a key influencer in facilitating IT usage and replacement, and likely can help generate awareness of and support for greater IT investments so the firm can create IT capabilities for effective NPD.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.