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The objective of this study is to examine the long-run relationship between workers' remittances and economic growth in Sri Lanka using time series data spanning 1975–2021.

This study employed both exploratory data analysis (EDA) and inferential data analysis (IDA) tools. EDA includes the scatter plots, confidence ellipse with Kernel fit, whereas IDA covers unit root test, the autoregressive distributed lag (ARDL) bounds technique, the Granger's causality test, and impulse response function (IRF) analysis.

EDA confirms that workers' remittances have a positive relationship with per-capita gross domestic product (GDP). All variables used in this study are I(1). This study is exhibited that workers' remittances have a positive long-run relationship with per-capita GDP. The estimated coefficient of the error correction term shows that the dependent variable moves towards the long-run equilibrium path. Workers' remittances have a short-run and long-run causal relationship with per-capita GDP. The IRF analysis indicates that a one standard deviation shock to workers' remittances has initially an immediate significant positive impact on economic growth.

This study provides insights into workers' remittances in economic growth in Sri Lanka. Further, the findings of this study also provide evidence that workers' remittances increase economic growth.

Using ARDL bounds test, Granger's Causality test and IRF analysis for examining the relationship between workers' remittances and economic growth are the originality of this study.

The objective of this study is to examine the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka over the period of 1975–2017 using the annual time series data.

To test the order of integration of the variables used in this study, the augmented Dickey–Fuller (ADF) and Phillips and Perron (PP) unit root tests were employed. The autoregressive distributed lag (ARDL) bounds cointegration technique was used to examine the long-run relationship between the variables. The Granger causality test was used to examine the causal relationship between the variables.

The unit root tests confirm that the variables are stationary at 1st difference I(1). Meanwhile, the ARDL test results show that workers' remittances have a positive long-run relationship with consumption expenditure in Sri Lanka. The coefficient of the error correction term indicates that 9.3% of disequilibrium error is adjusted each year and the response variable of the consumption expenditure moves towards the long-run equilibrium path. Further, the results of the Granger causality test indicate that workers' remittances Granger cause consumption expenditure in the short-run.

The findings have some important policy implications for the design of efficient policy related to workers' remittances and consumption expenditure pattern, the knowledge of which will help promote the macroeconomic stability and welfare of people in Sri Lanka.

This study contributes to the existing literature by using newly developed ARDL bounds cointegration techniques to investigate the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka. Furthermore, to our knowledge, this study is the first research in examining the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka.

The objective of this study is to explore the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka over the period of 1960–2018.

Both exploratory and inferential data analysis tools have been employed to examine the objective of this study. The exploratory data analysis covered the scatter plots, confidence ellipse with kernel fit. The inferential data analysis included the augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests, the autoregressive distributed lag (ARDL) Bounds co-integration technique and the Granger causality test.

The test result of exploratory data analysis indicates that there is a positive relationship between foreign aid and economic growth. The ADF and PP unit root tests results indicate that the variables used in this study are stationary at their 1st difference. The co-integration test result confirms the presence of long-run relationship between foreign aid and economic growth in Sri Lanka. The estimated coefficient of foreign aid in the long-run and the short-run shows that foreign aid has a positive relationship with economic growth in Sri Lanka. The estimated coefficient of error correction term indicates that approximately 26.6% of errors are adjusted each year and further shows that the response variable of economic growth moves towards the long-run equilibrium path. The Granger causality test result shows that foreign aid in short-run Granger causes economic growth in Sri Lanka which means that one-way causality from foreign aid to economic growth is confirmed. Further, the estimated coefficient of error correction term confirms that there is the long-run Granger causal relationship between foreign aid and economic growth in Sri Lanka.

The findings of this study have some important policy implications for the design of efficient policy related to foreign aid and economic growth, the knowledge of which will help follow sustainable foreign aid and growth nexus.

This study contributes to the existing literature by using the newly introduced ARDL Bounds cointegration technique to investigate the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka.

This study investigates the long-run relationship between workers' remittances and human capital formation in Sri Lanka by using the macro-level time series data during the period of 1975–2020.

In this study, the augmented Dickey–Fuller (ADF) and Philips–Perron (PP) unit root tests, the autoregressive distributed lag (ARDL) bounds cointegration technique, the Granger causality test, the forecast error variance decomposition technique and impulse response function analysis were employed as the analytical techniques.

In accordance with the results of unit root tests, the variables used in this study are mixed order. Results of cointegration confirm that workers' remittances in Sri Lanka have both long-run and short-run beneficial relationship with human capital formation. The Granger causality test results indicate that there is a two-way causal relationship between workers' remittances and human capital formation. The results of forecast error variance decomposition expose that innovation of workers' remittances contributes to the forecast error variance in human capital in bell shape. Further, the empirical evidence of impulse response function analysis reveals that a positive standard deviation shock to workers' remittances has an immediate significant positive impact on human capital formation in Sri Lanka for a period of up to ten years.

This research provides insights into the workers' remittances in human capital formation in Sri Lanka. The findings of this study provides evidence that workers' remittances help to produce human capital formation.

By using the ARDL Bounds cointegration and other techniques in Sri Lanka, this study fills an important gap in academic literature.

The purpose of this study aims to investigate the nature of the relationship between workers' remittances and financial development (FD) in Sri Lanka for the period from 1975 to 2017.

This study used both the exploratory data analysis and inferential data analysis (IDA) techniques to test the objective of this study. The IDA technique consisted of the augmented Dickey–Fuller (ADF) and Phillips–Perron unit root tests, the autoregressive distributed lag (ARDL) bounds cointegration technique, the Granger causality test and impulse response function analysis.

The unit root test results show that the variables are in mixed order. The empirical results of cointegration confirm that workers' remittances have a beneficial long-run relationship with FD in Sri Lanka. The Granger causality test result indicates that there is a bidirectional relationship between workers' remittances and FD. The impulse response analysis indicates that a positive shock to workers' remittance has an immediate significant positive impact on the FD of up to 10 years.

The analytical techniques used in this study explain how workers' remittances induce FD in Sri Lanka.

This study fills an important gap in the academic literature by using newly developed ARDL bounds cointegration techniques in Sri Lanka, by using impulse response function analysis, and by studying the dynamic relationship between workers' remittances and FD using time series data.