Data and Code for: Can Subsidized Employment Tackle Long-Term Unemployment? Experimental Evidence from North Macedonia

Name: Data and Code for: Can Subsidized Employment Tackle Long-Term Unemployment? Experimental Evidence from North Macedonia
Published: 2025-08-12
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Alex Armand, Nova School of Business and Economics; Pedro Carneiro, University College London; Federico Tagliati, Bank of Spain; Yiming Xia, Southwestern University of Finance and Economics

Version: View help for Version V1

Name	File Type	Size	Last Modified
Code			08/12/2025 03:31:PM
Data			08/12/2025 03:32:PM
Outputs			08/12/2025 03:33:PM
README Can Subsidized Employment Tackle Long-Term Unemployment?.pdf	application/pdf	70.6 KB	08/12/2025 02:19:PM

Project Citation:

Armand, Alex, Carneiro, Pedro, Tagliati, Federico, and Xia, Yiming. Data and Code for: Can Subsidized Employment Tackle Long-Term Unemployment? Experimental Evidence from North Macedonia. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-08-12. https://doi.org/10.3886/E237190V1

Project Description

Summary: This project provides the replication package for the paper "Can Subsidized Employment Tackle Long-Term Unemployment? Experimental Evidence from North Macedonia". The paper examines the impact of an experiment in North Macedonia in which vulnerable unemployed individuals applying to a subsidized employment program and being matched to a job opening are randomly selected to attend job interviews. Employers receive a subsidy which reduced by half the wage cost of a newly hired worker during the first year and compensated the firm for the training costs. We complement administrative employment records with survey data to study treatment impacts. Attending the job interview leads to an increase of 15 percentage points in the likelihood of being employed 3.5 years after the start of the intervention. Obtaining a job under the program results ina much larger effect of 50 percentage points. These long-term effects are larger for individuals with lower attachment to the labor market. Among these, we document positive treatment effects on both non-cognitive and job-related skills.

Funding Sources: Economic and Social Research Council (ESRC) (ES/P008909/1); European Research Council (ERC-2015-CoG-682349)

Scope of Project

Subject Terms: Unemployment; Wage subsidy; Active labour market policy; Job search

Geographic Coverage: Republic of North Macedonia

Time Period(s): 2015 – 2019 (Temporal coverage of the project)

Collection Date(s): 10/2015 – 2/2016 (First survey round); 5/2017 – 8/2017 (Second survey round)

Universe: Applicants to the SEP program (i.e., long-term unemployed individuals in the Republic of Northern Macedonia)

Data Type(s): administrative records data; survey data

Methodology

Response Rate:

Refer to paper for details.

Sampling: The sample includes applicants to the SEP program matched to an available job.

Data Source: Administrative records from the NEA of the Republic of North Macedonia and primary data from surveys.

Collection Mode(s): on-site questionnaire; other

Scales: Various scales (refer to the paper for details).

Weights: N/A

Unit(s) of Observation: Individual participants.

Geographic Unit: N/A

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V1 [2025-08-12]

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