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The present study is designed to examine the relationship between wage inequalities and economic prosperity in the case of Pakistan. Using provincial-level data for the years 2000 to 2020, the study estimated a multivariate regression model by employing Auto Regressive Distributive Lag (ARDL) pooled mean group (PMG) technique. The results reveal that wage inequality, government development spending, labor force participation, and human development significantly affect economic prosperity. It is concluded that gender disparity in the labor market is the main hurdle in the economic wellbeing of the masses in the country. Reducing the differences in wages will enhance overall economic prosperity. The government and private sector should take collaborative measures to reduce wage disparities between the male and female workforce. The study also suggests that government should increase development expenditure, especially on health, education, and social infrastructure, to increase economic prosperity. [ABSTRACT FROM AUTHOR]

This study examines behaviors leading to the intention to post food photos on social media. The embedded correlational mixed methods approach was used through two studies. The quantitative study was accomplished by surveying 540 respondents through a survey. The qualitative study encompassed two contrived environmental experiments, and themes were identified for narrative analysis. This mixed-method approach helped align findings and ensure generalizability. It was found that behavioral intentions to post food photos on social media are dependent on subjective norms, perceived behavioral control, self-expression, market mavenism, supportive interaction, and utilitarian attitudes. A full mediation between dining experiences and behavioral intentions to post food photos through self-expression was instituted. Theoretically, this study contributes to the literature regarding the theory of planned behavior and added value in the construct of market mavens through enriching dining experience findings. The findings help brand managers promote food brands, which can then result in positive reviews. [ABSTRACT FROM AUTHOR]

Recently, Haq et al. [A new estimator of finite population mean based on the dual use of the auxiliary information. Commun Stat Theory Methods. 2017;46(9):4425–4436] utilized the dual auxiliary information under simple random sampling only. Motivated by their idea, we initiated the dual use of auxiliary variable under a stratified random sampling scheme. Dual use of auxiliary variable consists: (1) the original auxiliary information and (2) the ranked auxiliary information. We proposed new optimal exponential-type estimators for the estimation of the finite population mean. Mathematical properties such as bias and mean squared error of the proposed estimators are derived. Monte Carlo simulation studies are included to successfully validate the theoretical results. Moreover, the applicability of the proposed estimators is highlighted through empirical interpretation with the help of a real-life data set. It is clearly identified from the numerical results that our proposed estimators are more efficient over the competitors. [ABSTRACT FROM AUTHOR]

Most of the research work in the theory of survey sampling only deals with the sampling errors under the assumptions: (i) there is a complete response and (ii) recorded information from individuals is correct but in practice it is not always true. Non-sampling errors like non-response and measurement errors (MEs) mostly creep into the survey and become more influential for estimators than sampling errors. Considering this practical situation of non-response and MEs jointly, we proposed an optimum class of estimators for population mean under simple random sampling using conventional and non-conventional measures. Bias and mean square error of the proposed estimators are derived up to first degree of approximation. Moreover, a simulation study is conducted to assess the performance of new estimators which proves that proposed estimators are more efficient than the traditional Hansen and Hurwitz estimator and other competing estimators. [ABSTRACT FROM AUTHOR]