Wage a phenomenon that happen today is high wage and high competitiveness. Wage theory that was developed by Rees (1973) and Katz (1980) explain that wage cannot only be seen only as a production cost but also as a part of an effort to increase the labor prosperity and motivation. This theory is a wage efficiency theory, which stated that company's revenue can increase despite paying wage above the market wage equilibrium. Even though here the two experts had calculated the problem of labor's quality but they have not reach empirical testing by developing certain model. Therefore, the researchers saw this gap as an opportunity to unravel the phenomena happening to labor and make an effort to develop an empirical model to see the influence of wage to productivity and variable that can measure the quality of labor and other variables that affect wage and productivity simultaneously. The factors used are the difference in individual characteristic, human capital, and quality of work life. The approach of this research is constructivism approach through quantitative analysis technique with simultaneous equation system. Analysis unit in this research is labor in hospitality industry. Estimation results of research shows that education, training, experience, work hour and productivity have significant positive influence to wage, while age and work status is not significant. Quality of work life, and wage have significant positive influence to productivity, while education, experience, age and work status have no significant influence. Important finding from research that training has significant influence to productivity but negatively. Overall, findings of this research show that positive effect of training to productivity will be bigger in organization that willing to invest in work environment that support the labor.

This study aims to analyze the factors that influence wage disparity between working women (female workers) in urban and rural areas in South Sumatera in 2013 using cross-sectional data from Susenas 2013. Methods used in this study are wage equation of Mincer (1994) and wage decomposition model of Blinder-Oaxaca. The results show that average wage disparity between working women in urban and rural areas are 34.93%. This disparity is caused by endowment (independent) variables, namely, education, age, working hours (jam kerja), non-agricultural sector (non-pertanian), marital status (menikah), and the presence of children under the age of five (balita), by 11.82%. The rest of 88.18% are explained by other variables outside this study. Endownment variables such as senior high school (SMA) education, higher education (pendidikantinggi) and working hours (jam kerja) are also found to be the cause of an increase in wage disparity of working women in urban and rural areas.

This study discusses the inter sector labor mobility in Palembang working in the primary, secondary, and tertiary sectors. In this study, the inter sector labor mobility is divided into three (3) categories: (1) a new sector of new type of job, (2) a new sector of same type of job, and (3) the same sector of same type of job. The data used are the cross section data obtained through field surveys. By using multinomial logistic regression model, the results indicate that the variable income, job experience, education, and the number of family members significantly influence the inter sector labor mobility on category 1 compared to category 3. Meanwhile on category 2 compared to category 3, the variables that significantly influence the mobility are income and job security.

The different number of production and consumption of goods and services by household is one of the causes of inequality and imbalance of income inter-households. This research aims to look at the condition of economic value of household income that is looked from the wife's income and look at the factors that influence the amount of household income. The research sample uses all households in 9 sub-districts in Palembang city. The results showed that wives who have toddler can give a higher economic value to the household income are compared with wives who do not have toddler. Other results of this research showed that the age of husband and wife as well as the number of family members have an effect on household income.

This study aims to analyze the factors that affect the workers who become commuters and do not become commuter to the city of Palembang. This research was conducted in Palembang City with the number of samples of 70 respondents who became commuter. Hypothesis testing is done multivariate by using logit (binary logistic regresion) model to measure how big independent variable is marital status (MAR), gender (SEX), age (AGE), education level (EDUC), income (WAGE), and distance (DISTANCE) which affects the dependent variable that is a commuter or not a commuter. The value of R square 0,377 means that 37,7% of variation of factors influencing commuter worker or commuter can not be predicted from independent variable. Partially, income variable (WAGE), and distance (DISTANCE) have significant influence while marital status (MAR), gender (SEX), age (AGE), education (EDUC) have no significant effect. The income variable (WAGE) is the most dominant factor to the commuter worker and does not become commuter to Palembang city based on the highest Exp (B) value of 44,847 and has coefficient value 3,803.