A Case Study of Pakistan Determinants of Female Labour Force in South Asia 6. Empirical Approach and Data 6.1. Methodology The primary variable of interest is labour force participation, usually measured in a binary way. For this reason, the main model will use probit. This model is primarily used to capture how different educational attainment levels affect FLFP in Pakistan. The other independent variables´ category measures the individual and demographic factor, including age household size, urban/ rural area, sector of employment and marital status. The description of the variables used, results of the model and limitations of the study are explained later in the chapter. 6.1.1. Source of Data Research on labour force in Pakistan is predominantly based on cross­sectional data generated through labour force surveys(Arif et al., 2003). This study uses the most recent years of the Pakistan Labour Force Survey (LFS) 2017-18 collected at a single period. Pakistan Bureau of Statistics(PBS) is the sole public sector organization responsible for the questionnaire and methodology of the surveys. It is a national statistical body surveying since 1963(Statistics, 2017). Labour Force Surveys are conducted on an annual basis since its inception and so far thirty four surveys have been completed(Statistics, n.d.). PBS has 34 field offices all over Pakistan responsible for the collection of data from the field. Data is collected through interviews. Mostly the head of the household is selected for providing information but in case of non-availability, any other informed member of the household present at the time of the interview is chosen. The universe for more recent rounds of the LFS consists of all urban and rural areas of the four provinces of Pakistan defined as such by the 1998 Population Census excluding Federally Administered Tribal Areas(FATA) and military restricted areas – the population of excluded areas constitutes about two percent of the total population. The sampling frame for both urban and rural domains is that each city or town is divided into enumeration 35