Page 87 - Azerbaijan State University of Economics
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THE                     JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.80, # 1, 2023, pp. 83-93

                    Data
                    In our paper we analysis the roots of gender pay gap particularly which variables affect
                    the wage gap and what is magnitude. Thus, in this regard we constructed time series
                    data set for Azerbaijan for the period 1991-2020 years.

                    The dependent variable of the research is wage ratio of male to female. The variable
                    is obtained by dividing male wages to female wages. Both male and female wages are
                    real  variables  and  shown  as  percentage  of  total  male  and  female  employment
                    respectively. The data is provided by World Bank's World Development Indicators
                    database (Table 1).

                    Table 1: Average wages of male and female employees
                    60

                    50
                    40
                    30
                    20

                    10
                     0
                         1991  1992  1993  1994  1995  1996  1997  1998  1999  2000  2001  2002  2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014  2015  2016  2017  2018  2019
                                             Wages of males  Wages of females

                     Source: World Bank Database, 2019

                    The main independent variable of our regression analysis is GDP per capita. The data
                    is constructed by taking real GDP (Gross Domestic Product) with 2010 USD prices
                    (inflation free) and dividing population of corresponding year. The source of the data
                    is again World Bank's World Development Indicators database. (Table 2).

                    Table 2: GDP Per Capita
                     9000
                     8000
                     7000
                     6000
                     5000
                     4000
                     3000
                     2000
                     1000
                        0
                           1991  1992  1993  1994  1995  1996  1997  1998  1999  2000  2001  2002  2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014  2015  2016  2017  2018  2019  2020

                    Source: World Bank Database, 2020


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