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This paper explores the evidence of a long-run co-movement between aggregate unemployment insurance spending and the labor force participation rate in the USA. The unemployment insurance (UI) program tends to expand during an economic downturn and contract during an expansion. UI may incentivize unemployment and may also facilitate better matching in the labor market. Statistical evidence of the presence of a co-movement will thus shed new light on their dynamics.

This research applies time-series econometric approach using monthly data from 1959:1 to 2020:3 to test threshold cointegration and estimate a threshold vector error-correction (TVEC) model. The estimates from the TVEC model investigating the nature of short-run dynamics.

The Enders and Siklos (2001) test find evidence of threshold cointegration between the two indicating the presence of long-run co-movement. The estimates from the TVEC model investigating the nature of short-run dynamics find evidence that the growth in aggregate UI spending and the growth in labor force participation rate adjust simultaneously to maintain the long-run co-movement above the threshold in the short run. The author also observes the same short-run dynamics for the growth in aggregate UI spending and the growth in the labor force participation rate for females.

This model is bi-variate by construction and does not address causality.

The author argues that the UI program positively impacts the female labor market outcomes, for example, better matching. This finding may explain the upward trend in the labor force participation rate for females in the USA.

The research findings may justify the transfer programs for minority and immigrants.

This is first research that analyzes the UI programs impact on the labor force participation using a macroeconometric approach. To the best of the author's knowledge, this is the first study in this genre.

The purpose of this paper is to examine the dynamics between real gross domestic product (GDP), foreign earnings, development assistance and debt servicing in Bangladesh, 1973‐2008, with the incorporation of a structural break after 1990.

A vector autoregression (VAR) framework using annual data from 1973‐2008 was used to examine the dynamics among the above mentioned variables, with the incorporation of a structural break after 1990. This was followed by innovation accounting and testing for Granger causality.

It was found that the structural break is significant and all the macro‐variables exhibit trend stationarity. Innovation accounting suggests that the debt servicing capacity of Bangladesh is enhanced by an improvement in foreign earnings, an outcome which is reinforced by Granger causality tests.

A bigger sample size, consisting of quarterly observations is desirable.

These results suggest that an increase in foreign earnings implies an improvement in the capacity to service overseas debt. Thus, from a policy perspective, it is recommended that steps be taken to diversify the sources of foreign earnings. The analysis affirms that there is a causal link between injections, represented by foreign earnings and overseas development assistance and leakages, represented by debt servicing. Such affirmation is certain to be an important input in macroeconomic policy formulation.

The dynamics between real GDP, foreign earnings, development assistance and debt servicing in Bangladesh have been empirically examined using recent developments in time‐series econometrics.