The purpose of this paper is to empirically study the impact of the COVID-19 pandemic on the labor market in the Republic of Croatia. Empirical analysis is based on four models of multiple linear regression and on prognostic models of the movement of the dependent variable, using simple forecasting and the ARIMA model. In the first model, we look at the employment rate as a dependent variable that depends on three independent variables: GDP per capita, labor market participation rate and the rate of change of the minimum gross wage in the period from the first quarter of 2008 to the last quarter of 2019, just before COVID -19 pandemics. This model was then used for prognostic purposes from the first quarter of 2020 to the last quarter of 2025. Subsequently, the model was expanded with the variable deaths from COVID-19 virus expressed in absolute terms, and the time dimension of the model was extended to the first quarter of 2021. Based on this model, forecasting was implemented in the same way as for the previous model based on the same methods. The third regression model was formed on the basis of a new dependent variable - the labor market participation rate, and the independent variables are the employment rate, GDP per capita, and the rate of change of the minimum gross wage for the period from the first quarter of 2008 to the last quarter of 2019. This is followed by forecasting based on the same methods as in the previous models. As a final step in the empirical analysis, the previous model was expanded to include the variable number of deaths from COVID-19 virus in absolute terms, and the time dimension of the model was expanded to the first quarter of 2021. The results of the significance of individual variables consistently suggest the nonrejection of the null hypothesis that the variable death rate is not significant in all models in which it is included.