Using a unique data set of medium and large enterprises (MLEs), which covers four Russian regions and the three sectors manufacturing and mining, construction and trade and distribution, we estimate fixed effects specifications of static labor demand equations for the year 1997. The most...

When assessing the effects of policy reforms on the labor market, most studies only focus on labor supply. The interaction of supply and demand side is not explicitly modeled, which might lead to biased estimates of potential labor market outcomes. This paper proposes a straightforward method to...

Using information on a panel of multinational firms operating in the United Kingdom from 1996 to 2005, we find that labour demand in domestic multinationals is less sensitive to labour cost changes than in foreign multinationals. This difference in the wage elasticity of labour demand persists...

In this paper, we estimate the demand for workers by sector and occupation using system dynamic OLS techniques to account for the employment dynamics dependence across occupations and sectors of industry. The short run dynamics are decomposed into intra and intersectoral dynamics. We find that...

In this paper we evaluate the effects of a regional experiment that reduced payroll-taxes by 3-6 percentage points for three years in Northern Finland. We match each firm in the target region with a similar firm in a comparison region and estimate the effect of the payroll-tax reduction by...

Recruitment behavior is important for the matching process in the labor market. Using unique linked survey-administrative data, we explore the relationships between hiring and recruitment policies. Faster hiring goes along with higher search effort, lower hiring standards and more generous...

Recruitment behavior is important for the matching process in the labor market. Using unique linked survey-administrative data, we explore the relationships between hiring and recruitment policies. Faster hiring goes along with higher search effort, lower hiring standards and more generous...