Long-run equilibrium between budget deficits and long-term interest rates

Recently, there has been much concern about the size of federal budget deficit and its impact on interest rates. The peace time recovery after the 1981–1982 recession was the longest in U.S. history, accompanied by the largest budget deficit to GDP ratios. The present study investigates the effects of cyclically-adjusted federal deficits on long-term interest rates for 1970:1–1991:2. Using Johansen-Juselius procedures, we find evidence of a long-run relationship between federal budget deficits and long-term interest rates.     

Monetary versus fiscal policy in India: an SVAR analysis

Conventionally, the policymakers relied on three policy alternatives to manage business cycles – debt-financed government spending, debt-financed tax rebate and interest rate. While the first two are fiscal policy instruments, the latter is a monetary policy instrument. This paper aims to capture interactions among Indian monetary and fiscal policy actions, and the impact of such policy actions on select macroeconomic variables for the period 1990Q1–2011Q4. The policy actions are identified using the sign restrictions approach combined with magnitude restrictions in a Structural Vector Autoregression framework, and interpreted using impulse responses and variance decomposition. The results show that Indian monetary policy responds to tax rebate shocks and spending shocks differently. In the case of a tax rebate shock, Indian monetary policy responds by reducing interest rates thereby accommodating fiscal expansion. On the opposite, monetary policy seems not to accommodate expenditure shocks. Interestingly, the monetary policy shock is accompanied by a fiscal expansion that threatens the credibility of the central bank actions, thus indicating fiscal policy dominance. A comparison of the efficacy of the policies suggests that the interest rate is more effective in stimulating output. Out of the two fiscal policy instruments analysed, the tax rebate seems to be the better option for stimulating output considering the output-debt trade-off.     

Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling

We attempt to provide insights into how heterogeneity has been and can be addressed in choice modeling. In doing so, we deal with three topics: Models of heterogeneity, Methods of estimation and Substantive issues. In describing models we focus on discrete versus continuous representations of heterogeneity. With respect to estimation we contrast Markov Chain Monte Carlo methods and (simulated) likelihood methods. The substantive issues discussed deal with empirical tests of heterogeneity assumptions, the formation of empirical generalisations, the confounding of heterogeneity with state dependence and consideration sets, and normative segmentation.     

R&D and the patent premium

We analyze the effect of patenting on R&D with a model linking a firm's R&D effort with its decision to patent, recognizing that R&D and patenting affect one another and are both driven by many of the same factors. Using survey data for the U.S. manufacturing sector, we estimate the increment to the value of an innovation realized by patenting it, and then analyze the effect on R&D of changing that premium. Although patent protection is found to provide a positive premium on average in only a few industries, our results also imply that the premium varies across industries and with firm size. Patent protection also stimulates R&D across all manufacturing industries, albeit with the magnitude of that effect varying substantially.     

Survey of literature regarding production functions of education and their applications specially in educational planning

A survey of literature regarding production functions or the technical relationships between the inputs and the outputs of education has been done in this article. The literature survey primarily includes the methodology for establishing production functions, the problems associated with establishing such functions and the application of production functions especially in the educational planning at macro and micro levels. The need for further research in this area has been finally summarized.     

Ten Years of ‘Social Media Marketing’ Research in the Journal of Promotion Management: Research Synthesis,Emerging Themes,and New Directions

The study synthesizes research in emerging social media marketing domains by analyzing published articles on social media marketing in the Journal of Promotion Management published since 2007. We utilized interpretation and synthesis based assessment for examining the usage of social media marketing concepts with a focus on social media, social networking sites' utilization by firms, social media metrics and social media measurement, consumer decision making, consumer perceptions, and utilizing social media marketing across countries and cultures. We found a fair balance of application of social media variables across studies, even though most of these studies were quantitative. After studying the gaps presented in social media based studies of recently published articles, we present emerging social media marketing themes, new research foci and directions, and tried to build on research implications for both theory and practice.     

Cost-effectiveness of mechanical thrombectomy for acute ischemic stroke: an Australian payer perspective

Aims: The goal of this study was to assess the cost-effectiveness of mechanical thrombectomy (MT) for acute ischemic stroke (AIS) from an Australian payer perspective.

Methods: This study used a Markov model that employed a life-time time horizon, modeling patients from symptom onset of stroke until end of life. Clinical efficacy and safety data were taken from an individual patient level data (IPD) meta-analysis of clinical studies. The treatment effect of MT compared to usual care was measured by changes in modified Rankin Score (mRS). Post-treatment mRS scores were used to determine short- and long-term stroke care costs. Treatment costs were modeled, with health state utility values determined by literature review. All analyses were conducted using Microsoft Excel.

Results: In comparison to usual care, MT is associated with higher costs ($10,666 per patient) and additional quality-adjusted life years (QALYs) (0.8281 per patient), resulting in an incremental cost per QALY of $12,880. Sensitivity analyses demonstrated the reliability of the base case results across a range of assumptions. The higher cost associated with MT is, to an extent, offset by the cost savings resulting from lower stroke care costs due to improved patient outcomes. The life-time cost savings in terms of stroke care costs are estimated to be more than $8,000 per patient for patients who had received MT in combination with usual care.

Limitations: Stroke care costs based on patient disability/functional level were not available and were derived. As a consequence, long-term care costs for patients with poorer outcomes may be under-estimated. Patient outcomes at 90 days were extrapolated to a lifetime horizon, but this approach was supported by long-term evidence on stroke survival.

Conclusions: Mechanical thrombectomy is a cost-effective treatment option for AIS, with clinical benefits translating to short- and long-term cost benefits. This analysis supports rapid update of stroke care pathways to incorporate this therapy as a treatment option.     

Licensing Tacit Knowledge: Intellectual Property Rights And The Market For Know-How

Technology transfer involves more than just the permission to use knowledge covered by patents; the transfer of know-how is critical to the successful utilization of the transferred technology. However, know-how is typically difficult to codify, costly to transfer, and hence, difficult to contract upon. Using a principal-agent model I show that simple arms length contracts can accomplish the transfer know-how. The key to the success of arms length contracts is the complementarity between know-how and patents. The model explains why patents and know-how are bundled together in licensing contracts. It shows why licensing has limitations as a strategy for appropriating rents from innovation. The paper points to the key role that patent scope plays in determining the efficiency of know-how transfer and shows that broader patents can improve the efficiency of technology transfer, even when important components of the technology (know-how) are not protected by patents.     

The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies

The field of marketing has witnessed substantial improvement in modeling household level heterogeneity. However, relatively little has been written about how modeling household heterogeneity translates into better marketing decisions. In this paper, we study the impact of household level heterogeneity in reference price effects on a retailer's pricing policy. Reference prices are certain anchors or standards that households use to compare the observed purchase price of a product against. If the observed price is greater than the reference price it is perceived as a “loss” and if it is smaller than the reference price it is perceived as a “gain”. In order to study the impact of heterogeneity in reference price effects on retail pricing, we test a nested logit model under two alternative reference price (memory and stimulus based) and heterogeneity (finite mixture and hierarchical Bayes) specifications. In the empirical analysis, we find that households are quite heterogeneous in terms of their gain and loss effects. For some households a gain has higher impact than a corresponding loss, while the opposite is true for others. Using individual level estimates we then develop a normative pricing policy for a retailer maximizing category profit. Our results indicate that the optimal pricing policy derived from the heterogeneous case is qualitatively different, and more profitable, than the case when heterogeneity is ignored. We show that for an important marketing problem pertaining to a retailer, the optimal pricing decisions for various brands in a category are inextricably related to household heterogeneity in reference effects and brand preference.