{"type":"survey","doc_desc":{"title":"JOR_2011-2013_SMPAIE_v01_M","idno":"DDI_JOR_2011-2013_SMPAIE_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2014-10-31","version_statement":{"version":"v01 (October 2014)"}},"study_desc":{"title_statement":{"idno":"JOR_2011-2013_SMPAIE_v01_M","title":"Screening and Matching with Psychometric Assessments: Randomized Experiments 2011-2013","alt_title":"SMPAIE 2011-13"},"authoring_entity":[{"name":"Matthew Groh","affiliation":"World Bank"},{"name":"David McKenzie","affiliation":"World Bank, BREAD, CEPR, IZA"},{"name":"Nour Shammout","affiliation":"World Bank"},{"name":"Tara Vishwanath","affiliation":"World Bank"}],"oth_id":[{"name":"Dr. Marwan Al-Zoubi","affiliation":"University of Jordan","email":"","role":"Assistance in intervention design"},{"name":"Business Development Center (BDC)","affiliation":"","email":"","role":"Implementation of the experiment"},{"name":"Nandini Krishnan","affiliation":"","email":"","role":"Implementation of the experiment"}],"production_statement":{"funding_agencies":[{"name":"Adolescent Girl Initiative, World Bank","abbreviation":"AGI","role":""},{"name":"Knowledge for Change Trust Fund","abbreviation":"KCP","role":""},{"name":"Research Support Budget, World Bank","abbreviation":"RSB","role":""}]},"distribution_statement":{"contact":[{"name":"Matthew Groh","affiliation":"World Bank","email":"mgroh@poverty-action.org","uri":""},{"name":"David McKenzie","affiliation":"World Bank","email":"dmckenzie@worldbank.org","uri":""}],"depositor":[{"name":"Matthew Groh","abbreviation":"","affiliation":"World Bank"},{"name":"David McKenzie","abbreviation":"","affiliation":"World Bank"}]},"version_statement":{"version":"v01"},"study_info":{"abstract":"Unemployment rates for college educated youth in Jordan are high, as is the duration of unemployment. Two randomized experiments in Jordan were used to test different theories that may explain this phenomenon. The first experiment tested the role of search and matching frictions by providing firms and job candidates with an intensive screening and matching service based on educational backgrounds and psychometric assessments. A second experiment built on the first by examining the willingness of educated, unemployed youth to apply for jobs of varying levels of prestige. \n\nFirst Experiment (September 2011 - May 2013)\n\nThe job candidate sample consisted of recent graduates of either community college or university in Jordan, who participated in Jordan NOW 2.0 program between December 2011 and November 2012. The participants were randomly assigned to a treatment or a control groups. \nThe sample of enterprises consisted of businesses planning to hire workers in the next six months.\n\nThe experiment included:\n- Firm survey of 2,279 enterprises (September - November 2011) \n- Psychometric assessment of 1,569 individuals in Amman, Jordan (December 2011- January 2013)\n- Midline survey of 984 recent college graduates (October 2012)\n- Midline firm survey of 124 enterprises involved with the screening and matching pilot (October - November 2012)\n- Endline surveys of 1,291 recent college graduates (May 2013)\n- Administrative data on matching results\n\nSecond Experiment (May 2013 - October 2013)\n\nThe job candidate sample consisted of recent graduates from community colleges and universities, who participated in Yalla Watheefa (Let's Go Get a Job) program. The sample of businesses consisted of 33 firms with 51 job vacancies to fill 178 positions.  \n\nThe second experiment included:\n- Baseline survey of 1,668 recent college graduates (May 2013)\n- Job Openings Labor Turnovers Survey (JOLTS) based panel survey of 350 enterprises (June - September 2013) \n- Firm survey of 50 large enterprises (October 2013) \n\nIn order to provide further evidence on how firms in Jordan fill positions, the team conducted a 4-round panel survey based off of the United States Bureau of Labor Statistics Job Openings Labor Turnovers Survey (JOLTS) on 350 firms in Amman that employ recent graduates.\n\nGiven that this second experiment did not result in any jobs, a follow-up survey to measure the treatment-control difference in employment outcomes was not conducted.","coll_dates":[{"start":"2011-09","end":"2013-05","cycle":"First experiment"},{"start":"2013-05","end":"2013-10","cycle":"Second experiment"}],"nation":[{"name":"Jordan","abbreviation":"JOR"}],"geog_coverage":"- Amman","analysis_unit":"- recent college graduates;\n- enterprises seeking to hire new employees.","notes":"The scope of the study includes:\n- psychometric measurement  \n- labor market matching\n- reservation prestige"},"method":{"data_collection":{"data_collectors":[{"name":"Business Development Center","abbreviation":"BDC","affiliation":""},{"name":"Dajani Consulting","abbreviation":"","affiliation":""}],"coll_mode":"Face-to-face [f2f]","coll_situation":"First experiment \n\nThe experimental job candidate sample consisted of 1,354 recent graduates of either community college or university in Jordan, who participated in Jordan NOW 2.0 between December 2011 and November 2012. The sample was obtained through advertising the program through advertisements in local newspapers, radio stations, cafes, and Facebook, along with a telephone campaign to recent graduates from 14 universities and community colleges in and around Amman. Youth were told this program would be free to participate in, and had the goal of helping match them to jobs. Eligibility was restricted to Jordanians who had graduated from community college or university since May 2009. In the first four months the program was restricted to females only, before also being opened up to males. \n\nCandidates signed up and completed a screening process on a rolling basis throughout 2012. Researchers worked with a Jordanian psychologist and Business Development Center (BDC), a leading training services firm in Jordan, to develop and test a labor market matching service for educated graduates. The college graduates received four hours of tests that measured their mental reasoning, English proficiency, Excel proficiency, soft skills such as the ability to work well in groups, and personality traits. \n\nThe research team then stratified the sample by gender and screening batches (110 strata), and randomly assigned three-quarters of the candidates within each strata to a treatment group that would be attempted to be matched to jobs, and one-quarter to a control group that would not. This continued until December 2, 2012, resulting in 343 individuals being assigned to the control group, and 1,011 to the treatment group. \n\nThe firm sample consists of a primary, experimental sample, and a secondary, booster, sample. The experimental sample consists of 2,279 small and medium firms, who were selected via a listing survey that screened firms according to whether they planned on hiring a worker in the next six months, and whether they would consider young workers and female workers for these positions. we then randomly assigned half the firms to treatment, which would be attempted to be matched to job candidates, and half to control, which would not. After no hires occurred in a first phase, the control group was also offered the treatment, and a secondary booster sample of 175 larger firms that were potentially interested in hiring workers through the program was added. \n\nSecond experiment\n\nThe job candidate sample consists of 2,002 recent graduates from community colleges and universities, who participated in the new program Yalla Watheefa (Let's Go Get a Job). The program was advertised through flyers, brochures and Facebook. Yalla Watheefa ambassadors  would also recruit candidates on university campuses around Amman. Yalla Watheefa was advertised as a free program for fresh graduates to inform them of job openings. Recruitment of participants took place in April and May 2013, just before graduation. Both males and females were eligible to participate, with eligibility limited to individuals graduating between May 2012 and May 2013. Individuals who were already employed, who were not seeking a job, or who were older than 26 were excluded from the sample. To enroll individuals filled out an application form that served as a baseline survey, providing demographic information, field of study, university, prior work experience, job type preferences, and reservation wage. \n\nThe sample of businesses consisted of 33 firms with 51 job vacancies. Some vacancies were for more than one worker in that job, so in total these firms were seeking to fill 178 positions. High prestige job openings included openings for accountants, credit officers, IT staff, nurses, engineers, and managers. Low prestige job openings include sales jobs, waiters, data entry, receptionist, and bagging groceries and are jobs that do not require a specific academic major and can typically be done by individuals without a college degree. This threshold was chosen to approximately split the sample of graduates in half, resulting in 958 individuals who said they were willing to work in low prestige jobs, and 1,047 who said they were only willing to work in high prestige jobs. \n\nThe research team randomly sent announcements of vacancies to recent graduates, sending a total of 9,820 announcements. \n\nFor each job vacancy, firms provided information on the position, qualifications required, and a salary range. Then the research team used information on gender, academic major, and job type prestige to classify candidates as a \"good fit\", \"bad fit\", or \"no fit\" for each job. The job announcement for each job opening was sent to an average of 205 randomly chosen candidates, stratifying this randomization so that two-thirds of those receiving the announcement would be deemed good-fits, and one-third bad-fits. For the first two jobs researchers piloted both phone calls and SMS messages and had identical response rates. As a result, SMS was used to inform candidates about the remainder of the jobs for convenience and costs purposes.  \n\nA week after the job announcement was sent, researchers followed up with a random sample (typically 100) of the candidates who had received job announcements to monitor their self-reported application rates and the reasons for not applying if they didn't apply. The research team also followed up with the firms to monitor how many applications they received, and at the end of the hiring process, how many interviews the firms scheduled, and whether job hiring took place."},"analysis_info":{"response_rate":"The attrition rates were 8 and 18 percent, respectively, for midline and endline job candidates surveys in the first experiment."}},"data_access":{"dataset_availability":{"original_archive":"World Bank Microdata Library\nhttp:\/\/microdata.worldbank.org\nCost: None"},"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nMatthew Groh, World Bank; David McKenzie, World Bank, BREAD, CEPR, IZA; Nour Shammout, World Bank; Tara Vishwanath, World Bank. Jordan Screening and Matching with Psychometric Assessments: Randomized Experiments (SMPAIE) 2011-2013, Ref. JOR_2011-2013_SMPAIE_v01_M. 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