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Assessing the role of social networks on migrant labor market outcomes: evidence from a representative immigrant survey

Batista, Cátia,Costa, Ana Isabel

Abstract

What role do social networks play in determining migrant labor market outcomes? We examine this question using data from a random sample of 1500 immigrants living in Ireland. We propose a theoretical model formally predicting that immigrants with more contacts have additional access to job offers, and are therefore better able to become employed and choose higher paid jobs. Our empirical analysis confirms these findings, while focusing more generally on the relationship between migrants’ social networks and a variety of labor market outcomes (namely wages, employment, occupational choice and job security), contrary to the literature. We find evidence that having one more contact in the network is associated with an increase of 11pp in the probability of being employed and with an increase of about 100 euros in the average salary. However, our data is not suggestive of a network size effect on occupational choice and job security. Our findings are robust to sample selection and other endogeneity concerns.

Full text

Wo king Pape Se ies Assessing he Role o Social Ne wo ks on Mig an Labo Ma ke Ou comes: E idence om a Rep esen a i e Immig an Su ey __________________________________________ Cá ia Ba is a No a School o Business and Economics - Uni e sidade No a de Lisboa CReAM, IZA and NOVAFRICA Ana Isabel Cos a No a School o Business and Economics - Uni e sidade No a de Lisboa NOVAFRICA ISSN 2183-0843 Wo king Pape No 1601 Ap il 2016 NOVAFRICA Wo king Pape Se ies NOVAFRICA | No a School o Business and Economics|Faculdade de Economia | Uni e sidade No a de Lisboa Campus de Campolide | 1099-032 Lisboa – Po ugal | T: (+351)213 801 673 | F: (+351) 213 801 105 | www.no a ica.o g Any opinions exp essed he e a e hose o he au ho (s) and no hose o NOVAFRICA. Resea ch published in his se ies may include iews on policy, bu he cen e i sel akes no ins i u ional policy posi ions. NOVAFRICA is a knowledge cen e c ea ed by he No a School o Business and Economics o he No a Uni e si y o Lisbon. I s mission is o p oduce dis inc i e expe ise on business and economic de elopmen in A ica. A pa icula ocus is on Po uguese-speaking A ica, i.e., Angola, Cape Ve de, Guinea-Bissau, Mozambique, and Sao Tome and P incipe. The Cen e aims o p oduce knowledge and dissemina e i h ough esea ch p ojec s, publica ions, policy ad ice, semina s, con e ences and o he e en s. NOVAFRICA Wo king Pape s o en ep esen p elimina y wo k and a e ci cula ed o encou age discussion. Ci a ion o such a pape should accoun o i s p o isional cha ac e . A e ised e sion may be a ailable di ec ly om he au ho . Assessing he Role o Social Ne wo ks on Mig an Labo Ma ke Ou comes: E idence om a Rep esen a i e Immig an Su ey  Cá ia Ba is a† and Ana Isabel Cos a‡ Ap il 2016 Abs ac Wha ole do social ne wo ks play in de e mining mig an labo ma ke ou comes? We examine his ques ion using da a om a andom sample o 1500 immig an s li ing in I eland. We p opose a heo e ical model o mally p edic ing ha immig an s wi h mo e con ac s ha e addi ional access o job o e s, and a e he e o e be e able o become employed and choose highe paid jobs. Ou empi ical analysis con i ms hese indings, while ocusing mo e gene ally on he ela ionship be ween mig an s’ social ne wo ks and a a ie y o labo ma ke ou comes (namely wages, employmen , occupa ional choice and job secu i y), con a y o he li e a u e. We ind e idence ha ha ing one mo e con ac in he ne wo k is associa ed wi h an inc ease o 11pp in he p obabili y o being employed and wi h an inc ease o abou 100 eu os in he a e age sala y. Howe e , ou da a is no sugges i e o a ne wo k size e ec on occupa ional choice and job secu i y. Ou indings a e obus o sample selec ion and o he endogenei y conce ns. JEL classi ica ion: D8, F22, J3 Keywo ds: Social Ne wo ks; In e na ional Mig a ion; Wage De e mina ion; Labo Ma ke In eg a ion  The au ho s a e g a e ul o help ul sugges ions om Ana Balcão Reis, Ana Ga cia, Bien Baloca ing, F ancesco Ces a i, Julia Sei he , Ma ilde G ácio, Ped o B inca, José Ta a es, and Te esa Molina-Millán. This pape makes use o a ep esen a i e immig an su ey gene ously unded by he EU NORFACE P og amme on In e na ional Mig a ion, unde he lead o P incipal In es iga o s Ca ia Ba is a and Gaia Na ciso. † No a School o Business and Economics, CReAM, IZA and NOVAFRICA. Email: ca ia.ba is[email p o ec ed] ‡ No a School o Business and Economics, and NOVAFRICA. Email: cos a.anai[email p o ec ed]m 1 1. In oduc ion The s udy o social ne wo ks eme ged in he economics li e a u e as a way o explain in o ma ion misma ches and o he ma ke ic ions. Ea ly empi ical s udies show ha abou hal o employed indi iduals ely on amily and iends o ind jobs o o ha e access o job in o ma ion (G egg and Wadswo h, 1996; Addison and Po ugal, 2001). The main heo e ical hypo hesis linking social ne wo ks o labo ma ke ou comes p oposes he exis ence o an in o mal channel, usually o med by ela i es, iends and acquain ances, ha p o ides indi iduals in o ma ion no a ailable h ough o mal sou ces. Such channel mi iga es job sea ch ic ions in wo dis inc ways: by making a ailable in o ma ion o job seeke s abou employmen oppo uni ies, while also p o iding employe s e e ences abou he wo ke s. In he ecen decades, a g owing li e a u e has in es iga ed he ole o social ne wo ks on mig an ou comes. In one o i s mos p ominen indings, mig an s end o clus e in g oups and sha e in o ma ion among hem (see Edin e al, 2003 and Munshi, 2003), which illus a es he pa icula impo ance o social ne wo ks o mig a ion. Being newcome s o he labo ma ke , mig an s a e in need o in o ma ion abou job openings and he cha ac e is ics o he labo ma ke , pa icula ly upon a i al o he hos coun y. On he o he hand, ne wo ks may also be use ul om he pe spec i e o he employe who o en lacks in o ma ion abou he newly a i ed mig an s. Despi e he expec able impo ance o social ne wo ks on mig an labo ma ke ou comes, he e is s ill a lack o obus empi ical e idence on his esea ch ques ion. This pape a emp s o ill his gap by using a andom sample o 1500 immig an s om 110 di e en na ions esiding in I eland in 2010. We use de ailed su ey da a o mig an s and hei con ac s, which enables us o measu e he social ne wo k o each mig an , and o ind in his way empi ical e idence linking ne wo ks o he labo ma ke ou comes o immig an s. The co e hypo hesis o his s udy is ha , immig an s wi h la ge ne wo ks a e mo e exposed o in o ma ion and 2 he e o e a e mo e likely o be employed and o hold highe paid jobs. We also analyze o he labo ma ke ou comes such as occupa ional choice and job secu i y (meaning he job s abili y o e ed by he ype o job con ac ). Ou pape con ibu es o he p e ious li e a u e by s udying he ole o mig an ne wo ks a a ious dimensions o labo ma ke in eg a ion. We examine h ee main ques ions: (i) is he p obabili y o being employed highe o indi iduals wi h mo e con ac s; (ii) wha is he causal e ec o he ne wo k size on subsequen wages: do immig an s wi h la ge ne wo ks ha e highe wages; (iii) is he e a selec ion p ocess wi h he choice o wo king among immig an s. Iden i ica ion o he causal e ec s o ne wo k size on mig an ou comes is complica ed by he possibili y o se e al endogenei y p oblems. Fi s , he suspec ed causal ela ionship be ween he mig an ne wo k size and he espec i e labo ma ke ou come can be simul aneously de e mined by unobse able cha ac e is ics. Second, endogenei y can also occu h ough a selec ion p ocess ha leads some immig an s o choose o pa icipa e in he labo ma ke while o he s do no – which esul s in a sample selec ion p oblem in ha i is no possible o obse e he wages o hose who do no wo k. In o de o ackle hese possible es ima ion biases, and o ensu e he obus ness o ou esul s we es ima e se e al dis inc models: Linea P obabili y Model (LPM), Two-S age Leas Squa es (2SLS), Hecki model and IV-Hecki model. We ind e idence ha immig an s wi h a la ge ne wo k size a e mo e likely o be employed and ea n highe sala ies. Mo eo e , ou empi ical analysis con i ms ha he e is, in ac , a sel -selec ion p ocess in luencing he decision o wo k. Howe e , ou da a indica es ha ne wo k size does no seem o in luence occupa ional choice o he job secu i y o immig an s. Ou esul s a e in line wi h he p e ious indings in he li e a u e ela ed o wages 3 and employmen . The impac o he ne wo k size on he occupa ion and job secu i y a e new indings o he li e a u e. The s uc u e o he emainde o he pape is o ganized as ollows. Sec ion 2 e iews he main esul s ound in he li e a u e. Sec ion 3 shows a heo e ical amewo k o model he impac o he ne wo k size on he employmen and wages o immig an s. Sec ion 4 desc ibes he me hodology used and he iden i ica ion issues. Sec ion 5 p esen s he da a used and he desc ip i e s a is ics. Finally, Sec ion 6 includes he empi ical esul s and sec ion 7 concludes. 2. Li e a u e Re iew This sec ion p esen s a sys ema ic analysis o he p e ious indings on he opic and ela es he pas li e a u e wi h ou empi ical s a egy. We summa ize he impac o social ne wo ks bo h on mig a ion and on labo ma ke ou comes. As ini ially p oposed by Sjaas ad (1962) and Ha is and Toda o (1970), mig a ion is o en an unce ain and isky in es men . Howe e , mig a ion ne wo ks can lowe he cos s and unce ain y o ollowe mig an s, as e i ied by McKenzie and Rapopo (2010). Umblijs (2012) p esen s heo e ical and empi ical e idence ha i po en ial mig an s ha e access o a ne wo k a he des ina ion, mo e isk-a e se mig an s will mig a e han i hey had no access o hese ne wo ks 1 . Cal o-A mengol and Zenou (2005) we e one o he i s au ho s o pu o wa d a heo e ical model o he ole o ne wo ks on labo ma ke ou comes pa icula ly wages and employmen . The model accoun s o a job-ma ching p ocess, in which wo ke s ind jobs h ough hei social ne wo k, and shows ha in he s eady-s a e, labo ma ke ou comes a e posi i ely co ela ed ac oss ime and ac oss agen s wi hin a ne wo k. None heless, i assumes ha ne wo ks a e exogenous, a s ong assump ion ha has no been alida ed by empi ical esea ch (a ew examples include Munshi, 2003 and An, 2015). 1 Fo u he e idence o he impo ance o social ne wo ks o mig a ion, see: Beine e al. (2011), Ba is a and Umblijs (2014), Ba is a and Umblijs (2016), Ba is a e . al (2016). 4 La e , Wahba and Zenou (2005) ex ended he model o Cal o-A mengol and Zenou (2005) by di e en ia ing be ween low- and high-educa ed indi iduals and compa ing he e iciency o using ne wo ks o ind a job wi h o he sea ch me hods. The unde lying assump ion made by he au ho s is ha low-educa ed indi iduals only use in o mal job sea ch me hods o ind a job, while high-educa ed indi iduals use bo h o mal and in o mal me hods. Conside ing popula ion densi y as a p oxy o he size o he ne wo k in Egyp , hey p o ide empi ical e idence ha condi ional on being employed, he p obabili y o inding a job h ough iends and ela i es, compa ed o o he sea ch me hods, is highe in dense a eas han in less dense a eas. Gi en he impo ance o ne wo ks as an in o mal ins i u ion wi h consequences in he labo ma ke , one would expec i s e ec o be s onge among mig an s ( ela i e o na i es) as hey a e newcome s o he ma ke . Munshi (2003) a gues ha bo h mig an s and employe s a he des ina ion lack ull access o in o ma ion abou each o he , eason why hey a e in need o job e e als. Social ne wo ks ha e he ole o dec easing he asymme y o in o ma ion be ween bo h agen s. Using a sample o Mexican mig an s in he US, he s udy inds ha mig an s wi h la ge ne wo ks a e mo e likely o be employed and hold highe paying jobs upon a i al. Also, Chen (2009) uses he p opo ion o labo mig an s in he home illage as an indica o o he illage social ne wo k o s udy he e ec s o in e nal mig a ion in China and inds ha la ge ne wo ks a e associa ed wi h highe wages. Recen ly, Ke and Mando (2015) p o ide e idence ha immig an s in he US end o clus e in he same occupa ions as immig an s om he same na ionali y. A esul e i ied by Pa el and Vella (2007) ha ind addi ional e idence o a wage p emium o hose immig an s who choose o wo k in he mos popula occupa ions o hei ne wo ks due o possible ma ke powe among hese g oups. Al hough he co ela ion be ween ne wo ks and highe wages may seem in ui i e, some o he s udies ha e poin ed o an opposi e di ec ion. Fo ins ance, Da che Lou y (2006) and 5 Long e . al (2013) ind e idence o a wage penal y among hose indi iduals who use ne wo ks o ind jobs o e o he sea ch me hods. Thei iew es s on he assump ion ha wo ke s who do no ob ain be e job o e s h ough o mal channels use ne wo ks o ind jobs as a las eso . Fo ha eason, ne wo k use s will hold lowe paid jobs compa ed o non-use s. In ou pape , we will u he explo e he e ec s o ne wo ks in he labo ma ke using a sample o in e na ional mig an s li ing in I eland. By con olling o a a ie y o indi idual cha ac e is ics, and add essing po en ial endogenei y p oblems, we a e able o p o ide no el insigh on his issue. Con a y o he exis ing li e a u e, ou main de ini ion o ne wo ks is no only based on geog aphical p oximi y o place o o igin. Ou measu e o ne wo ks includes non-mig an s and mig an s om he same coun y, bu also om di e en coun ies. In spi e o he g ea impo ance o mig an communi ies, i is plausible ha hey also sha e and a e p o ided wi h in o ma ion abou he labo ma ke by o he esiden s. This app oach is e en mo e pe inen in he con ex o I eland as mig an s come om a a ie y o coun ies (including highly de eloped and de eloping economies), mos ly wo k in high-skilled jobs and a e, on a e age, highly educa ed 2 . 3. Theo e ical Model In o de o ame ou esea ch, we p opose an immig an ’s sea ch beha io model, adap ed om Pa el and Vella (2007), o s udy he heo e ical mechanisms linking ne wo ks o wages and employmen . Job sea ch is made using o mal and in o mal me hods, whe e he la e e e s o he indi idual ne wo k o employed iends and ela i es. The model assumes a con inuous ime amewo k in which job o e s can a i e om ei he o mal o in o mal channels ollowing a Poisson p ocess and ha immig an s, a e a i ing o a new coun y, seek o maximize he expec ed alue o discoun ed u u e income using discoun a e 𝑟. Indi iduals 2 Cen al S a is ics O ice – I eland (census epo o 2011) 6 (2) (3) ecei e job o e s h ough he o mal channel wi h a i al a e 𝑝, and om he in o mal channel wi h a i al a e 𝑝𝑁. As long as he immig an does no pa icipa e in he labo ma ke , he ecei es compensa ion 𝑏, which can be in e p e ed as leisu e o a di e en ype o compensa ion. Wages o e ed h ough he o mal channel a e ep esen ed by 𝑤 and ha e dis ibu ion 𝐹(𝑤), while wages o e ed h ough he ne wo k channel a e ep esen ed by 𝑤𝑁 and ha e dis ibu ion 𝐹𝑁(𝑤𝑁). The model assumes ha , as long as he mig an inds a job wi h wage 𝑤 o 𝑤𝑁, he will keep i o e e . The alue o wo king in a job ound h ough he o mal channel and he in o mal channel is, 𝑊(𝑤)= 𝑤 𝑟 and 𝑊(𝑤𝑁)= 𝑤𝑁 𝑟, espec i ely. Thus, he low alue o being unemployed, 𝑟𝑈, is: 𝑟𝑈=𝑏+𝑝∫𝑚𝑎𝑥[𝑊(𝑤)−𝑈,0]𝑑𝐹(𝑤)+ 𝑝𝑁∫max [𝑊(𝑤𝑁)−𝑈,0]𝑑𝐹𝑁(𝑤𝑁) (1) The i s e m on he igh -hand side o he equa ion, 𝑏, s ands o he ins an aneous payo o being unemployed, while he second and he hi d e ms ep esen he expec ed alue om being employed in a job ound ia he o mal and ne wo k channels espec i ely. The decision o en e ing he labo ma ke is made when he indi idual inds a job o e wi h wage ealiza ion 𝑤 o 𝑤𝑁 in which he alue o being employed, (𝑤) o (𝑤𝑁) is highe han he alue o no en e ing he labo ma ke , U. The la ge he ne wo k size, he mo e job o e s a gi en indi idual will ecei e h ough he in o mal channel. Assuming ha he numbe o people in he ne wo k is gi en by 𝑛 and ha he a i al job a e 𝑝 is cons an among all indi iduals in he ne wo k, 𝑝𝑁 is exp essed by: 𝑝𝑁= ∑𝑝𝑖 𝑖∈𝑛 =𝑛𝑝 The indi idual will accep he job o e i 𝑤 is a leas as la ge as he ese a ion wage, 𝑤𝑅. The ese a ion wage is sol ed by W(𝑤𝑅) = 𝑈. No ing ha 𝑟𝑈=𝑤𝑅 and 𝑊− 𝑈=𝑤−𝑤𝑅 𝑟. Adding his o equa ion (1), one ob ains he ollowing simpli ied equa ion o he ese a ion wage: 13 had o ul ill he ollowing equi emen s: 1) be 18 yea s old o olde ; 2) no I ish o B i ish bo n 10 ; 3) ha e a i ed in I eland be ween 2000 and six mon hs p io o he in e iew da e; and 4) no an I ish o B i ish ci izen. The andom sampling p ocedu e ollowed h ee s eps: i s , 100 Enume a ion A eas (EA) we e andomly selec ed ou o he 323 Elec o al Dis ic s. Second, 15 households we e chosen wi hin each EA. Finally, i he household had mo e han one membe eligible o ake pa in he su ey, he indi idual esponden was andomly selec ed based on a nex -bi hday ule. Due o missing ele an in o ma ion abou eligibili y o nine esponden s, he inal numbe o immig an s included in he sample is 1,491. 5.2. De ining Ne wo k Size In o de o es ima e he e ec o he ne wo k size on wages in he con ex o mig a ion one i s needs o de ine he ne wo k size o each immig an . We ollow (Pa el and Vella, 2007) and include in he ne wo k he indi iduals ha we e wo king a he ime he su ey was conduc ed, and he e o e we e mo e able o p o ide inside in o ma ion abou he labo ma ke 11 . We use h ee di e en ques ions in he su ey o co e all he con ac s o he immig an s in I eland. The i s one conce ns he composi ion o he household membe s o he esponden 12 : “Please indica e all he pe sons who belong o his household”. The second ques ion conce ns he con ac s who he esponden knew li ing in I eland be o e he had mo ed o he coun y: “Be o e coming o I eland, how many people did you know who we e al eady li ing in I eland (a he ime you mo ed)”? 13 ; The hi d ques ion includes he con ac s li ing in I eland whom, a he ime o he su ey, he mig an had mos con ac wi h: 10 As epo ed in Ba is a and Na ciso (2013), “B i ish ci izens we e excluded due o he close his o ical ies be ween I eland and G ea B i ain.” 11 We also es ed ne wo k de ini ions including indi iduals ha we e no wo king. Howe e , we ob ained weake esul s, which sugges s ha labo ma ke in o ma ion is sha ed by hose who a e inside s in he labo ma ke . 12 Household membe s a e de ined as hose who usually sleep and ea in he same uni . 13 People belonging o he same household a e excluded om his ques ion. We decided o include hese con ac s once hey may ha e been an impo an channel o in o ma ion o he mig an s bo h be o e and a e he mig a ion p ocess. 14 “Cu en ly, who a e he people (excluding people you li e wi h o people you knew be o e coming o I eland) ha you ha e mos con ac wi h in I eland?”. Using his in o ma ion we a e able o obse e he size o he ep esen a i e ne wo k o each mig an . 5.3. Desc ip i e S a is ics Table 1 includes he main desc ip i e s a is ics abou he mig an s’ cha ac e is ics. The i s a iable co esponds o he cu en mon hly ne wages exp essed in eu os. As we can obse e, only 957 esponden s epo ed a posi i e wage 14 . Ou da a indica es ha a ound 63% o he indi iduals epo ed o be wo king as hei main occupa ion. The size o he mig an ne wo k is he explana o y a iable o main in e es . Ne wo k size is a disc e e a iable ha assumes alues be ween 1 and 12 in ou da a. The a e age numbe o people in he ne wo k is app oxima ely h ee. The sample is made up o a highly educa ed class o mig an s who had, on a e age, 15 yea s o educa ion, which oughly co esponds o a Bachelo ’s deg ee. The a e age age is app oxima ely 33 yea s old. The a e age numbe o immig an s pe coun y is 10004. Finally, he a e age mon hly household income, excluding he esponden ’s, is 1128 eu os and a ound 46.5% o he immig an s ha e a child. 15 6. Resul s 6.1. Employmen The heo e ical model p oposed in sec ion 3 p edic s ha he size o he ne wo k is posi i ely co ela ed wi h he p obabili y o he immig an being employed. Table 2 p esen s he empi ical analysis o his p edic ion. Employed is a bina y a iable ha assumes alue 1 i 14 Those indi iduals o whom we did no obse e a posi i e wage ha e he ollowing occupa ions: unpaid housewo k, s uden , e i ed and unemployed o a e no allowed o wo k due o isa issues. 15 The supplemen a y appendix includes Table A.1. which shows he dis ibu ion o o eign-bo n indi iduals in he sample by con inen and Table A.1., a desc ip ion o he dis ibu ion o he op na ionali ies. 15 he indi idual is employed and alue 0 i o he wise 16 . We s a by using he LPM o s udy he ela ionship be ween he employmen s a us and ou main a iable o in e es , ne wo k size 17 . The esul s indica e ha ha ing one mo e pe son in he ne wo k is associa ed wi h an inc ease o 3 pe cen age poin s (pp) in he p obabili y o being employed – an es ima e signi ican a he 1% signi icance le el. Mo eo e , emales a e less likely o be employed compa ed o males, as he gende coe icien is nega i e and highly signi ican . Being mo e educa ed is also posi i ely co ela ed wi h employmen , one mo e yea o school inc eases he p obabili y o being employed by 1.3 pp. Age and age squa ed a e also s ong de e minan s o he p obabili y o being employed, al hough in e sely ela ed. As he immig an ge s olde , he is less likely o be employed. In e es ingly, he numbe o yea s since mig a ion does no seem o in luence he employmen . The same holds ue o ma i al s a us. The esul s a e obus once endogenei y conce ns a e accoun ed o . The ne wo k size e ec becomes highe in magni ude sugges ing ha ha ing one mo e con ac in he ne wo k inc eases he p obabili y o being employed by 11.3 pp and emains posi i e and signi ican a he 10% le el. Ou ins umen al a iable seems o be alid as i passes he weak iden i ica ion es : he C agg-Donald Wald F es p esen ed in he end o he able is 12.249 implying a s ong associa ion be ween he s ock o immig an s and he numbe o con ac s in he ne wo k size. 18 These empi ical esul s he e o e lend empi ical suppo o he i s es able implica ion o ou heo e ical model. 6.2. Wages 16 We conside as employed indi iduals who epo ed o be wo king as he main occupa ion. 17 Table A.4. o he supplemen a y appendix includes he P obi es ima ions whose sign, signi icance and magni ude a e simila o he LPM es ima ions. 18 S aige and S ock (1997) indica e ha , o he case o a single endogenous eg esso , he ins umen is s ong i i passes he h eshold o 10 in he i s -s age F-s a is ic. 16 The second main p edic ion o ou heo e ical model is ha indi iduals’ wages a e a posi i e unc ion o he size o he in o mal ne wo k. To empi ically es his hypo hesis, we employ h ee di e en models: OLS, Hecki and IV-Hecki . The es ima ed coe icien s and espec i e s anda d e o s a e p esen ed in Table 4. Mon hly wage appea s in he loga i hmic o m gi en he skewness p esen in he a iable (1.9318, a conside able igh -hand skewness). We begin ou analysis by in oducing he OLS es ima ion esul s (Column 1). Ne wo k size is s a is ically signi ican a he 5% le el wi h a coe icien o 0.0260. Tha is, ha ing one mo e pe son in he ne wo k size is associa ed wi h a 2.60 pe cen inc ease in wages. Indi idual’s gende does no seem o be co ela ed wi h he sala y ea ned by he mig an . The coe icien is nega i e (sugges ing ha , on a e age, emales end o ecei e less han males), al hough i is no signi ican . Mo eo e , he numbe o yea s o schooling is posi i ely co ela ed wi h he wages ea ned. One mo e yea in school is associa ed wi h a 2.14 pp inc ease in wages, a esul signi ican a he 10% le el. The numbe o yea s in I eland since mig a ion, is also an impo an posi i e de e minan o wages, indica i e o he p esence o a p ocess o acquisi ion o human capi al in he hos coun y. Age and age squa ed a e no co ela ed wi h wages in he OLS eg ession. Finally, ma ied immig an s do no ea n mo e on a e age compa ed wi h o he ma i al s a us. In addi ion o he main indi idual cha ac e is ics explaining wages, namely gende , yea s o schooling, yea s in I eland, ma i al s a us, age and con inen ixed e ec s, we include u he con ols ha may also po en ially a ec ing wages, o inc ease he compa abili y o he di e en es ima ion models we use. Al hough he OLS es ima o allows one o ha e a i s insigh on he ela ion be ween ne wo k size and wages, i may yield biased es ima es as sample selec ion and o he endogenei y conce ns migh be ac i e in ou sample. To es and co ec o he hypo hesis o sample selec ion, we employ a Heckman selec ion model, included in he second column o 17 Table 4. The in e se Mills a io ep esen ing he la en selec ion ac o is nega i e and s a is ically signi ican , indica ing ha ha ing a child and a highe household income is nega i ely co ela ed wi h he p obabili y o en e ing he labo ma ke . We can conclude ha he e is a selec ion bias on unobse ed cha ac e is ics ha u ns he sample o hose mig an s o whom we obse e wages di e en om he emaining ones. Conside ing ha unobse ed cha ac e is ics o he immig an s e lec hei unobse ed abili y, he Hecki es ima e o ne wo k e ec s e eals ha column (1) o e es ima ed he ne wo k e ec s o less able people who gain mo e om he in o mal channels. A b ie e lec ion on why less able people ake mo e ad an age om hei ne wo ks leads us o conside ha lowe ea ning-abili y mig an s may be elying mo e on hei social ne wo k as hey ind i mo e di icul o acqui e jobs h ough o mal me hods. Compa ing he OLS wi h he Hecki es ima es, we can see ha when we ake in o accoun selec ion in he decision o wo king on unobse ed abili y, he ne wo k e ec is s ill signi ican a he 10% le el and ou main coe icien o in e es is now 0.0196, lowe han he OLS es ima e. A e co ec ing o sample selec ion, age and age squa ed become signi ican in opposi e di ec ions. While age is posi i ely ela ed wi h he mig an s’ wages, age squa ed in luences wages in a nega i e way. This implies a diminishing ma ginal e ec o age, i.e., as he mig an ge s olde , he e ec o age on wages lessens. This esul is obus o he IV- Hecki model. All he o he coe icien es ima es emain simila o he OLS model. Column 3 p esen s he esul s o he Hecki model wi h he ne wo k size ins umen ed, ou IV-Hecki model. A e con olling o endogenei y, we ob ain ou bes es ima e o he causal e ec o ne wo ks on wages, which is s ill posi i e and signi ican a he 10% le el. Ha ing one mo e pe son in he ne wo k is associa ed wi h an inc ease o 6.46 pe cen in wages. This esul sugges s ha bo h he OLS and Hecki model unde es ima e he e ec s o 18 ne wo k size. Ou ins umen al a iable is signi ican and alid wi h a i s -s age F alue o 20.845. IV-Hecki esul s a e mo e obus when compa ed o he o he wo models, as i simul aneously deals wi h he wo main sou ces o po en ial es ima ion biases in ou empi ical analysis. Ne e heless, he obus ness o ou main coe icien o in e es in he h ee models p o ides clea e idence ha he size o mig an social ne wo ks has a posi i e impac on labo ma ke ou comes. Table A.3. o he supplemen a y appendix p esen s he i s -s age eg essions o he Hecki and IV-Hecki models. 6.3. Occupa ional Choice and Job Secu i y In addi ion o employmen and wages, we also examine he impac o ne wo k size on o he labo ma ke ou comes, namely occupa ional choice and job secu i y. As men ioned in Pa el and Vella (2007) and Ke and Mando (2015), immig an s end o choose he same occupa ions as immig an s om he same backg ound, and he e o e mig an s belonging o he same ne wo k may enjoy a la ge ma ke powe in some gi en sec o s o he economy. In ou empi ical analysis we es i ha ing mo e con ac s can in luence indi iduals o choose a ce ain ype o occupa ion. Tables 4 o 6 include he es ima ions o he immig an s’ main occupa ions. Ou da a ules ou he hypo hesis ha ha ing mo e con ac s can in luence mig an s o choose a ce ain occupa ion o e he o he ones, as he signi icance o he esul s is no obus o endogenei y o o he inclusion o con inen ixed e ec s in he eg ession. Howe e , he esul s sugges some e idence o a possible e ec ela ed wi h low-skilled jobs (Table 4) o which he coe icien s a e signi ican i we no accoun o con inen ixed e ec s and emains posi i e in ou equa ions. In wha conce ns job secu i y, i.e., he employmen s abili y o e ed by he ype o con ac , we examine he p obabili y o ha ing a ce ain ype o job con ac when he 19 ne wo k size is la ge . Table 7 p esen s he esul s o he di e en ypes o job con ac s: pe manen , empo a y, no con ac o e en sel -employmen . We ind weak e idence ha ne wo k size is co ela ed wi h pe manen and empo a y con ac s o o being sel -employed. E idence is s onge o indi iduals who do no ha e any employmen con ac . In e es ingly, ne wo ks seem o lead immig an s o o he ypes o job si ua ion a he han jobs wi h no con ac as he coe icien is signi ican and nega i e. This is, ha ing one mo e con ac dec eases he p obabili y o ha ing a job wi h no con ac by 17 pp. Fo his eason, ne wo ks seem o play an impo an ole in dec easing p eca ious wo k. 7. Concluding Rema ks This pape examined he impac o la ge ne wo k sizes on immig an ’s wages, p obabili y o being employed, occupa ional choice and job secu i y. We ind e idence ha ha ing one mo e con ac in he hos coun y’s labo ma ke is associa ed wi h an inc ease o 11pp in he p obabili y o being employed and wi h an inc ease o abou 100 eu os in he a e age sala y. Howe e , he e idence ela ed o he impac o ne wo ks on job secu i y and occupa ional choice is a he weak o non-exis en . Expanding he p e ious indings in he li e a u e ha ha e been mainly ocused on de eloping coun ies, his s udy concludes ha ne wo ks a e also impo an o mig an s in de eloped coun ies. In o ma ion lows can play an impo an ole o immig an s in a new labo ma ke , a cen al conclusion o policy make s who wish o c ea e be e mig a ion expe iences. Ou esul s may e lec demand and supply in luences in he labo ma ke . On he demand side, employe s wan ing o educe hei sc eening cos s will employ immig an s based on e e als o , i hey a e sa is ied wi h he pe o mance o a ce ain ype o wo ke s, hey a e mo e likely o hi e people om he same backg ound. F om he supply pe spec i e, upon a i ing in he hos coun y, mos immig an s a e s ill seeking o job oppo uni ies (as ou da a sugges s, only 13.48% o hem had al eady a job o e when hey mo ed o I eland). I 20 indi iduals a e in con ac wi h mo e people who a e employed, i is likely ha hey will ha e be e in o ma ion abou oppo uni ies in he job ma ke . Al hough we a e no able o disen angle such possible mechanisms in ou pape , hey p o ide an in e es ing opic o u u e esea ch. Re e ences Addison John T., and Ped o Po ugal. 2002. “Job Sea ch Me hods and Ou comes,” Ox o d Economic Pape s 54, 505-533. An, Weihua. 2015. “Ins umen al Va iables Es ima es o Pee E ec s in Social Ne wo ks”. Social Science Resea ch Volume 50. Pages 382–394. Ba is a, Ca ia, and Gaia Na ciso. 2013. “Mig an Remi ances and In o ma ion Flows: E idence om a Field Expe imen ”, IZA Discussion Pape s 7839. 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Thomson Sou h-Wes e n. 24 Umblijs, Janis. 2012. “The E ec o Ne wo ks and Risk A i udes on he Dynamics o Mig a ion”, Ox o d IMI Wo king Pape s, 54/2012. Appendix: LPM (1) IV (2) Ne wo k Size 0.0288*** (0.00615) 0.113* (0.0665) Female -0.0866*** (0.0257) -0.0828*** (0.0277) Yea s o Schooling 0.0133** (0.00475) 0.0113* (0.00556) Yea s in I eland -0.000491 (0.00486) -0.00630 (0.00669) Age 0.0417*** (0.00942) 0.0433*** (0.0101) Age^2 -0.000447*** (0.000126) -0.000458*** (0.000135) Ma ied -0.0128 (0.0284) -0.0526 (0.0425) Cons an -0.361** (0.172) -0.647** (0.262) Con inen Fixed E ec s YES YES Va iables Obs. Mean S d. De . Max. Min. Main Dependen Va iables Mon hly ne wage (eu os) 957 1665 987.9 10500 100 Employed (dummy) 1481 0.627 0.484 1 0 Main Independen Va iables Ne wo k Size 1280 3.077 2.165 12 1 Female (dummy) 1491 0.541 0.498 1 0 Yea s o schooling 1483 14.69 2.798 17 0 Yea s in I eland 1489 5.348 2.863 11 0 Ma ied (dummy) 1491 0.424 0.494 1 0 Age 1491 32.59 8.025 72 18 Ins umen al Va iable S ock o immig an s in I eland (yea 2000) 1485 10004 12919 44633 2 Exclusion Res ic ions Mon hly Household Income (eu os) 1077 1128 1746 17500 0 Ha ing child en (dummy) 1491 0.465 0.499 1 0