The Syrian Conflict generated forced immigration from northern Syria to southeastern Turkey. Arrival of refugees resembles a natural experiment, which offers good opportunities to study the economic impact of immigration. I study three main outcomes: labor markets, consumer prices, and housing rents. I document moderate employment losses among native informal workers, which suggests that they are partly substituted by refugees. Prices of the items produced in informal labor intensive sectors declined due to labor cost advantages generated by refugee inflows. Finally, refugee inflows increased the rents of higher quality housing units, while there is no effect on lower quality units.
Civil conflict in Syria, started in March 2011, led to a massive wave of forced immigration from Northern Syria to the Southeastern regions of Turkey, which later had serious economic/political repercussions on the MENA region and most of Europe. This paper exploits this natural experiment to estimate the impact of Syrian refugees on the labor market outcomes of natives in Turkey. Using a difference-indifferences strategy, we find that immigration has considerably affected the employment outcomes of natives, while its impact on wage outcomes has been negligible. We document notable employment losses among informal workers as a consequence of refugee inflows. Formal employment increased slightly potentially due to increased social services in the region. The majority of those who lost their informal jobs have either left the labor force or remained unemployed. Formal employment and unemployment rates have increased, while labor force participation, informal employment, and job finding rates have declined among natives. Disadvantaged groups, i.e., women, younger workers, and less-educated workers, have been affected the worst. The prevalence of informal employment in the Turkish labor markets has amplified the negative impact of Syrian refugee inflows on natives' labor market outcomes. Overall, the impact of Syrian refugee inflows on the Turkish labor markets has been limited, which suggests that the potential costs on the European and other affected labor markets might also be limited.
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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractWe present cross-country evidence suggesting that agricultural credits have a positive impact on agricultural productivity. In particular, we find that doubling agricultural credits generates around 4-5 percent increase in agricultural productivity. We use two different agricultural production measures: (i) the agricultural component of GDP and (ii) agricultural labor productivity. Employing a combination of panel-data and instrumentalvariable methods, we show that agricultural credits operate mostly on the agricultural component of GDP in developing countries and agricultural labor productivity in developed countries. This suggests that the nature of the relationship between agricultural finance and agricultural output changes along the development path.We conjecture that development of the agricultural finance system generates entry into the agricultural labor market, which pushes up the agricultural component of GDP and keeps down agricultural labor productivity in developing countries; while, in developed countries, it leads to labor-augmenting increase in agricultural production. We argue that replacement of the informal credit channel with formal and advanced agricultural credit markets along the development path is the main force driving the labor market response.JEL codes: J43, Q14, Q18, O47.
Individuals tend to self-report higher well-being levels on certain days of the weeks than they do on the remaining days, controlling for observables. Using the 2008 release of the British Household Panel Survey, we test whether this empirical observation suffers from selection bias. In other words, we examine if subjective well-being is correlated with unobserved characteristics that lead the individuals to take the interview on specific days of the week. We focus on two distinct well-being measures: job satisfaction and happiness. We provide convincing evidence for both of these measures that the interviews are not randomly distributed across the days of the week. In other words, individuals with certain unobserved characteristics tend to take the interviews selectively. We conclude that a considerable part of the day-ofthe-week patterns can be explained by a standard "non-random sorting on unobservables" argument rather than "mood fluctuations". This means that the day-of-the-week estimates reported in the literature are likely to be biased and should be treated cautiously.JEL codes: C25; D60; J28.
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