Investigation for Finance–Growth Nexus: A Dynamic Common Correlated Estimator Approach

The study investigated the impact of financial development in bringing the economic well-being, using the data of 10 selected developing countries, as a sample for the period from 1991 to 2017. However, the study utilizes the regression of group mean dynamic common correlated estimator (DCCE) by Chudik and Pesaran (2015) to analyse the said circumstance. For estimation, the present study is considering the major tycoons of financial development and their relevant areas that are significantly effecting the economic growth. However, the broad money (GAM1), domestic credit to private sector to GDP (GAM2), domestic credit to private sector by banks (GAM3), government’s final consumption expenditures (GAFCE) and foreign direct investment GAFC are major contributors in attaining the GDP per capita (GADA). However, the estimation of the concerned circumstance was also evaluated in terms of shorter and longer run estimations. The results of the short– and long–run estimations also authenticate the results of DCCE estimations. The robustness of the results is verified with the help of Pedroni (2004) test, fully modified ordinary least squares (FMOLS) test by Pedroni (2001) and dynamic ordinary least squares (DOLS) by Stock and Watson (1993) . The robustness tests also verify the factors that are considered as the major players of financial development for uplifting the concerned economies. Selected developing countries have the potential for utilizing their financial development options to manage their growth at the economic level. For practical implications and for policymaking, the ingredients of this particular study can be endorsed to get the desired results.