The Phillips curve under state-dependent pricing

We derive a Phillips curve equation from the dynamic stochastic general equilibrium (DSGE) model with state-dependent pricing developed by Dotsey et al. [1999. State-dependent pricing and the general equilibrium dynamics of money and output. Quarterly Journal of Economics 114, 655-690]. This state-dependent Phillips curve encompasses the new Keynesian Phillips curve (NKPC) based on Calvo-type price setting as a special case. We analyze the effect of the state-dependent terms (that is, the variations in the distributions of price vintages) on inflation persistence, and we examine whether the hybrid NKPC (that is, the NKPC extended by a lagged inflation term) can adequately describe inflation dynamics generated in a calibrated state-dependent pricing economy.     

Returns to Retail Banking and Payments

The present paper examines the fundamental relationship between the country-level infrastructure of the retail payment market and overall bank performance. Using data from across 27 European markets over the period 2000–07, the results confirm that the performance of banks in countries with more developed retail payment service markets is better. This relationship is stronger in countries with a relatively high adoption of retail payment transaction technologies. Retail payment transaction technology itself can also improve bank performance, and evidence shows that heterogeneity in retail payment instruments is associated with enhanced bank performance. Similarly, higher usage of electronic retail payment instruments seems to stimulate banking business. We also show that retail payment services have a more significant impact on savings and cooperative bank performance, although they have a positive influence on the performance of commercial banks as well. Additionally, the findings reveal that the impact of retail services on bank performance is more pronounced through fee income, although their impact through interest income is also positive. Finally, an effective payment service market is found to be associated with higher bank stability. Our findings are robust to different regression specifications.     

Geographic Concentration in Indian Manufacturing and Service Industries: Evidence from 1998 to 2013

This paper uses a comprehensive new data source to document basic facts about geographic concentration among industries in India from 1998 to 2013. Unlike previous studies, our data allow us to accurately measure industrial concentration at the district level and cover manufacturing and services, as well as the formal and informal sectors. Our most striking finding is that average levels of industrial concentration fell dramatically between 1998 and 2013, driven by steep reductions in capital‐intensive manufacturing industries. We provide suggestive evidence that this increasing dispersion may be due to improvements in interregional transportation coupled with inefficient land management policies and limited labor mobility.     

When does advice impact startup performance?

Why do some entrepreneurs thrive while others fail? We explore whether the advice entrepreneurs receive about managing their employees influences their startup's performance. We conducted a randomized field experiment in India with 100 high-growth technology firms whose founders received in-person advice from other entrepreneurs who varied in their managerial style. We find that entrepreneurs who received advice from peers with a formal approach to managing people—instituting regular meetings, setting goals consistently, and providing frequent feedback to employees—grew 28% larger and were 10 percentage points less likely to fail than those who got advice from peers with an informal approach to managing people, 2 years after our intervention. Entrepreneurs with MBAs or accelerator experience did not respond to this intervention, suggesting that formal training can limit the spread of peer advice.     

Service innovation in the hotel industry: culture,behavior, performance

The aim of this study is to focus on the service innovation culture (SIC) in the formation of frontline employees’ (FLE) innovation performance based on two fit theories. More specifically, the research evaluates and examines the mediating role of challenge-oriented citizenship behavior (COCB) and charged behavior in the aforementioned relationship. To test the hypotheses, two-step structural equation modeling with bootstrapping estimation was conducted in AMOS, using data from 215 full-time frontline hotel employees over a one-month time period. This study establishes that the development of a SIC is positively related to the innovation performance of FLE. Likewise, the results indicate that there is a partially mediating role for the COCB and expanded charged behavior (encompassing vitality and creative self-efficacy) of FLE in the relationship between SIC and innovation performance. The findings of this study highlight the need for managers to incorporate a secure and trusting work environment so FLE will eagerly participate in the service innovation process by voicing their novel ideas. Managers can also consider the significance of the employee selection procedures and take advantage of employing university graduate for frontline service jobs.     

Do Internet Activities Add Value? Evidence from the Traditional Banks

Very little is known about how adopting Internet activities impact traditional banks. By tracing the experience of Italian commercial banks, we provide evidence and implications for banks’ use of new Internet technology and innovative banking products as they relate to performance. Using different definitions for what is considered as Internet activity and by examining alternative proxies for bank return and risk, we find a significant link between offerings of Internet banking products and bank performance. Although this link is significantly positive for bank returns, we find a negative, marginally significant, association between the adoption of Internet activities and bank risk.

Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East

The importance of advertising media evaluation as a multifaceted problem is well known by both academics and practitioners. Although previous studies tried to optimize media evaluation, there still are some gaps and problems to address, particularly in areas of flexibility of models/frameworks, decision making quality, tension management, and agility of the evaluation process. Most of previous studies are based on inflexible models/frameworks that have limitations on number of criteria/alternatives they can consider and type of data they can process. A great volume of the work used arbitrary decision making; arbitrary decision making regarding criteria and media importance may reduce effectiveness of advertising campaigns. Furthermore, the academic literature offers little guidance on group decision aggregation, and tension management during decision making is neglected. Media evaluation is a time taking process and any acceleration will reduce pre-campaign costs. The main aim of this paper is to illustrate how a group decision support system (GDSS) can assist media planners to overcome mentioned problems more systematically. For this purpose, we developed a GDSS that is an integration of three well-known multi-criteria decision making techniques. With a real world case study, we illustrate the performance of the proposed GDSS. Results of our quantitative assessments indicate that the GDSS is flexible, allows decision makers to express their opinions, reduces tension among decision makers, and saves time.     

Corruption,product complexity and African exporters

Several studies have shown that African manufacturers perform poorly, especially in comparison to their counterparts from other developing countries. We build on these studies by (a) examining the decision to stop exporting among African manufacturers and (b) investigating whether these decisions can be linked to institutional dimensions (such as corruption). Consistent with previous studies, we observe that a significant fraction of African firms stop exporting every year. Using product complexity as a measure of an industry’s ‘sensitivity’ to corruption, we find that firms in more ‘corruption-sensitive’ industries are more likely to stop exporting if there is an increase in overall corruption in the exporting country. Firm characteristics (such as size and productivity) also seem to influence the decision to stop exporting. Our finding about the relationship between corruption and the decision to stop exporting supports the conventional wisdom that corruption is detrimental to economic performance.     

Labor Regulations,Employment and Wages: Evidence from India's Apparel Sector

While India is among the world's largest producers and exporters of apparel products, the sector has not performed to its potential. This study analyzes why this might be so from the perspective of the structure of production in the sector, the most striking aspect of which is a firm size distribution heavily dominated by small firms. Using nationally representative firm‐level and labor force survey data, we argue that the dominance of firms operating at scales too small to apply modern production and management technologies is one proximate reason for India's relative underperformance. Further, we note that India's labor regulations and the associated enforcement regime are important policy drivers of Indian firms' tendency to avoid placing “too many workers under one roof”.     

Exchange Rate Regime and Demand for Reserves: Evidence from Kenya,Mexico and Philippines

This paper empirically investigates the demand for international reserves (and foreign exchange reserves) during fixed and floating exchange rates periods in three developing countries: Kenya, Mexico and Philippines. Based on theoretical models, three factors are identified as important for the demand of international reserves and foreign reserves: average propensity to import, volume of imports and variability of reserves. The paper employs the cointegration methodology and error correction method to investigate the relationships. Cointegration tests results indicate a reliable long-run stationary relationship between the international reserves (and foreign exchange reserves) and the stated explanatory variables across countries and sub-periods of fixed and clean float. The error correction results indicate causality from the explanatory variables to the reserves during both the short and long run. This is true during both the fixed and the floating periods.