An extension to the neoclassical growth modelto Estimate Growth and Level Effects

The neoclassical growth model was extended by Mankiw, Romer and Weil (1992) to estimate the level effects of additional factors like human capital. We suggest a further extension to capture their permanent growth effects. Time series data from Fiji are used to show that the growth effect of human capital, although small, is significant. Furthermore, in our sample the specifications with a permanent growth effect performed better than specifications with only level effects.The Solow Growth Model; Production Function; Shift Variables; Human Capital Level and Growth Effects

The Effects of Life Expectancy on Fiji's Output: A Time Series Approach from 1970 to 2002

Compared to several cross-country studies on the determinants of growth, time series approaches are relatively few and limited in scope. However, time series studies are useful for country-specific policies. But in the recent time series works, with a few exceptions, ad hoc specifications of output and growth equations are used. This paper examines the specification and estimation issues in the time series approach to the determinants of output. Our approach is used to measure the effects of health on the output of Fiji for the period 1970 to 2002.The Solow Growth Model, Production Function, General to Specific Approach, Effects of Health on Output.

Comparison of the antioxidant activity and total phenolic, flavonoid content of aerial part of Cleome viscosa L.

Cleome viscosa L. (Capparidaceae), commonly known as “wild mustard”, is an annual, sticky herb found as common weed all over the plains of India and throughout the tropics of the world. In traditional systems of medicine the plant is reported to possess beneficial effects as an anthelmintic, antiseptic, carminative, antiscorbutic, febrifuge, and cardiac stimulant.     The aim of the present study was to evaluate to antioxidant activity of 70% methnolic extract of leaf and stem part of Cleome viscosa (CV) by using different in vitro model such as β carotene bleaching assay, reducing power and free radical scavenging activity (DPPH and hydroxyl radical scavenging activity). Total phenolic content were estimated by the Folin–Ciocalteu colorimetric method using gallic acid as standard and expressed as mg/g gallic acid equivalent (GAE) and total flavonoid content was estimated by aluminium chloride colourimetric method. The total phenolic, flavonoid content and antioxidant activity of Cleome viscosa leaves were found to be 66.38±0.82mg/g, 0.54±0.04mg/g and 77.30% respectively. Cleome viscosa leaves showed high free radical scavenging activity as evidenced by the low IC50 values in both DPPH (1,1-diphenyl-2-picryl hydrazyl) (373.18 μg/ml) and hydroxyl radical (573.55 μg/ml) methods. Cleome viscosa leaves possess high phenolic, flavonoid content and potential antioxidant activity, reducing power and free radical scavenging activity in comparison to stem

An extension to the neoclassical growth modelto Estimate Growth and Level Effects

The neoclassical growth model was extended by Mankiw, Romer and Weil (1992) to estimate the level effects of additional factors like human capital. We suggest a further extension to capture their permanent growth effects. Time series data from Fiji are used to show that the growth effect of human capital, although small, is significant. Furthermore, in our sample the specifications with a permanent growth effect performed better than specifications with only level effects

Journal of behavioral and experimental finance: a bibliometric overview

Behavioral science has made a considerable contribution to finance. To gain an understanding of the scientific contributions emerging from all fields of finance with a behavioral perspective, this paper reviews the content of the major journal dedicated to behavioral finance, the Journal of Behavioral and Experimental Finance (JBEF), since its foundation 8 years ago. For this purpose, we employ bibliometrics and content analysis to shed light on the publication trends and intellectual structure of the JBEF, obtaining numerous intriguing findings. First, the JBEF is still a young journal, and its numbers of publications and citations have grown significantly since its inception. Second, though there are contributions from all parts of the world, the United States is acknowledged as contributing the most to the JBEF. Diverse authors have contributed to the journal, but those affiliated with the University of Innsbruck and Macquarie University lead the list. Third, most of the studies have used the theoretical underpinnings of behavioral theory and prospect theory. Methodologically, most of the studies are empirical and primarily based on quantitative research designs, archival data and regression analysis. Fourth, the JBEF’s contributions concern eight intellectual clusters—namely personal characteristics and national cultures; psychological factors, financial literacy and robo-advising; investor sentiment and stock market volatility; asset market experiments; overconfidence and the disposition effects in the stock market; externalities (COVID-19) and financial markets; socially responsible investing; and herding behavior in financial markets. Finally, “behavioral finance” is the most prominently used author keyword in the JBEF’s publications, followed by “financial literacy”. All in all, these findings should offer readers a retrospection of scholarly contributions from the JBEF

Statistical analysis of the Indus script using nn-grams

The Indus script is one of the major undeciphered scripts of the ancient world. The small size of the corpus, the absence of bilingual texts, and the lack of definite knowledge of the underlying language has frustrated efforts at decipherment since the discovery of the remains of the Indus civilisation. Recently, some researchers have questioned the premise that the Indus script encodes spoken language. Building on previous statistical approaches, we apply the tools of statistical language processing, specifically $n$-gram Markov chains, to analyse the Indus script for syntax. Our main results are that the script has well-defined signs which begin and end texts, that there is directionality and strong correlations in the sign order, and that there are groups of signs which appear to have identical syntactic function. All these require no {\it a priori} suppositions regarding the syntactic or semantic content of the signs, but follow directly from the statistical analysis. Using information theoretic measures, we find the information in the script to be intermediate between that of a completely random and a completely fixed ordering of signs. Our study reveals that the Indus script is a structured sign system showing features of a formal language, but, at present, cannot conclusively establish that it encodes {\it natural} language. Our $n$-gram Markov model is useful for predicting signs which are missing or illegible in a corpus of Indus texts. This work forms the basis for the development of a stochastic grammar which can be used to explore the syntax of the Indus script in greater detail

Potentials of airborne hyperspectral aviris-ng data in the exploration of base metal deposit—a study in the parts of Bhilwara, Rajasthan

In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in the Pur-Banera area in the Bhilwara district, Rajasthan, India.The primaryhost rocks of the Cu, Pb, Zn mineralization in the area are Banded Magnetite Quartzite (BMQ), unclassified calcareous silicates, and quartzite. We used ratio images derived from the scale and root mean squares (RMS) error imagesusing the multi-range spectral feature fitting (MRSFF) methodto delineate host rocks from the AVIRIS-NG image. The False Color Composites (FCCs) of different relative band depth images, derived from AVIRIS-NG spectral bands, were also used for delineating few minerals. These minerals areeither associated with the surface alteration resulting from the ore-bearing fluid migration orassociated with the redox-controlled supergene enrichments of the ore deposit.The results show that the AVIRIS-NG image products derived in this study can delineate surface signatures of mineralization in 1:10000 to 1:15000 scales to narrow down the targets for detailed exploration.This study alsoidentified the possible structural control over the knownsurface distribution of alteration and lithocap minerals of base metal mineralizationusing the ground-based residual magnetic anomaly map. This observationstrengthens the importance of the identified surface proxiesas an indicator of mineralization. X-ray fluorescence analysis of samples collectedfromselected locations within the study area confirms the Cu-Pb-Zn enrichment. The sulfide minerals were also identified in the microphotographs of polished sections of rock samples collected from the places where surface proxies of mineralization were observed in the field. This study justified the investigation to uti-lize surface signatures of mineralization identified using AVIRIS-NG dataand validated using field observations, geophysical, geochemical, and petrographical data

Cardiac Biomarkers and Risk of Atrial Fibrillation in Chronic Kidney Disease: The CRIC Study.

Background We tested associations of cardiac biomarkers of myocardial stretch, injury, inflammation, and fibrosis with the risk of incident atrial fibrillation (AF) in a prospective study of chronic kidney disease patients. Methods and Results The study sample was 3053 participants with chronic kidney disease in the multicenter CRIC (Chronic Renal Insufficiency Cohort) study who were not identified as having AF at baseline. Cardiac biomarkers, measured at baseline, were NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity troponin T, galectin-3, growth differentiation factor-15, and soluble ST-2. Incident AF ("AF event") was defined as a hospitalization for AF. During a median follow-up of 8 years, 279 (9%) participants developed a new AF event. In adjusted models, higher baseline log-transformed NT-proBNP (N-terminal pro-B-type natriuretic peptide) was associated with incident AF (adjusted hazard ratio [HR] per SD higher concentration: 2.11; 95% CI, 1.75, 2.55), as was log-high-sensitivity troponin T (HR 1.42; 95% CI, 1.20, 1.68). These associations showed a dose-response relationship in categorical analyses. Although log-soluble ST-2 was associated with AF risk in continuous models (HR per SD higher concentration 1.35; 95% CI, 1.16, 1.58), this association was not consistent in categorical analyses. Log-galectin-3 (HR 1.05; 95% CI, 0.91, 1.22) and log-growth differentiation factor-15 (HR 1.16; 95% CI, 0.96, 1.40) were not significantly associated with incident AF. Conclusions We found strong associations between higher NT-proBNP (N-terminal pro-B-type natriuretic peptide) and high-sensitivity troponin T concentrations, and the risk of incident AF in a large cohort of participants with chronic kidney disease. Increased atrial myocardial stretch and myocardial cell injury may be implicated in the high burden of AF in patients with chronic kidney disease