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.     

指望政府救市，中国股民面临多重风险

【美国《华尔街日报》3月24日】全世界股票投资者正在向中国同行致意：感谢你们，让我们感觉好些了。而此前不久，中国大陆股民还是全世界股票买家深感嫉妒的对象。但目前他们却沦为警示故事的主角，提醒人们现金以及无经验的贪婪可能引发灾难。     

A COMPARISON OF PERFORMANCE INDICATORS FOR TRAINING AND ENTERPRISE COUNCILS IN THE UK

ABSTRACT ** : The use of performance indicators for the evaluation and comparison of efficiency in service provision in the public and related sectors of the economy is continuously developing. While they often represent a step forward, to the extent that they focus attention on the objectives of the organization in question, it is frequently suspected that they fail to take into account non-controllable environmental factors. To do so requires multivariate techniques of analysis. This paper compares the results of three such methods with the raw performance indicators. It confirms the importance of non-controllable factors but also shows that different multivariate methods give results which do not always agree. Understanding the properties of different approaches is essential in drawing conclusions about performance.     

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.     

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.     

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.     

Market Risk Disclosures and Investment Efficiency: International Evidence from the Gulf Cooperation Council Financial Firms

This study examines the association between market risk disclosures (MRDs) and the investment efficiency of financial firms from six emerging markets in the Gulf Cooperation Council (GCC) region. Based on a sample of 553 firm‐year observations over the 2007–2011 period, we find that MRDs are significantly and negatively associated with both under‐investment and over‐investment and that this association is more pronounced for larger firms. We also find that the association between MRDs and under‐investment is moderated during periods of economic distress such as the Global Financial Crisis of 2008 and that the association between MRDs and over‐investment is magnified during periods of reduced financial distress. Our results are consistent with the idea that MRDs reduce information asymmetry, which ultimately improves investment efficiency. We contribute to the literature in an emerging market context by providing empirical evidence on the association between MRDs and investment efficiency across six emerging GCC capital markets. This study also fills a gap in the literature by providing evidence on the factors affecting the investment efficiency of financial firms.     

Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.