This paper has focused on the relationship between women's literacy rate, sex ratio, and women work participation. This paper focuses on gender discrimination found in Punjab. A Granger-causality analysis was carried out in order to assess whether there is any potential predictability power of one indicator for the other. The conclusion that can be drawn from the present study is that with an increase in women's literacy rate, there has been no significant impact on improvement in the sex ratio and women's work participation in Punjab.

1. Dufour, J.-M., & Renault, E. (1998). Short run and long run causality in time series: Theory. Econometrica, 66 (5), 1099-1125.
2. Government of Punjab (Various Years). Statistical abstracts of Punjab (Various Issues). Punjab : Government of Punjab.
3. Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37 (3), 424-438.
4. Konya, L. (2004). Unit-root, cointegration and Granger causality test results for export and growth in OECD countries. International Journal of Applied Econometrics and Quantitative Studies, 1(2), 67-94.
5. Ministry of Home Affairs, Government of India. (2011). Provisional population totals at a glance figure: 2011 Punjab. Retrieved from <a href=http://censusindia.gov.in/2011-prov-results/prov_data_products_punjab.html target="_blank">http://censusindia.gov.in/2011-prov-results/prov_data_products_punjab.html</a>.
6. Ministry of Home Affairs, Government of India. (2011). Primary census abstract data Punjab. Retrieved from <a href=http://www.censusindia.gov.in/2011census/hlo/pca/PCA_pdf/PCA-CRC-0300.pdf target="_blank">http://www.censusindia.gov.in/2011census/hlo/pca/PCA_pdf/PCA-CRC-0300.pdf</a>.
7. Nagaich, S. S. (2011). Women empowered or disempowered: Scenario in Punjab. International Journal of Research in Commerce & Management, 2(11), 80-84.