The remittances or money transfers sent by migrants to the country of origin are considered to be one of the welfare channels with potential to influence macroeconomics indicators. The aim of this thesis is to analyse migration and remittance behaviour of Ukrainian migrants in the context of the EU. Study is based on the questionnaire survey inspired by the similar projects in the Latin America and Mexico. Contribution of the thesis lies in the detailed analysis of the topic that separates different forms of remittances. The econometric model consists of statistical summary of the data and three hypotheses tests focusing on the probability and amount remitted; consumption behaviour and probability of getting skilled position. According to findings, probability and amount remitted is determined by demographic factors and direction of effects differs in the case of regularly and one- time payments. Altruism and business financing are primary motives to remit. Remittances appear to be transferred by informal channels into the productive forms of consumption. A procurement of skilled position is positively influenced by human capital factors but also reflects labour market situation in the destination country. JEL Classification C31,C35,C51,C52, C83, E21, E27, F24, F22, J15, J24, J61, Y10 Keywords...

The research project intends to investigate the responses of households to economic uncertainty and natural shocks and the coping strategies developed both in terms of growing migration rates and remittance inflows and of increasing labour supply. In the first Chapter, we employ household survey data from the Indian State of Kerala to evaluate how transfers of remittances sent from overseas respond to heterogeneous sectoral employment shocks experienced by migrants in the host country during the 2008 crisis. In the second chapter, migration and remittances have been investigated as coping strategies adopted by households after a dramatic flood that hit Bangladesh in August-September 2014. The combination of high-resolution satellite data to precisely measure our treatment variable and the difference-in-difference estimations allow us to causally identify the impact of the dramatic flooding on internal and international migration. The same robust estimation technique is then applied to evaluate the effect of the 2014 flood in Bangladesh on female labour force participation rate and on the probability for unemployed women to enter the labour force. In addition, correcting for selection into employment, we estimate how the flood affects the probability for women working in the household farm to engage in independent wage-earning activities, evaluatiing whether the expected rise in female labour force participation - instrumented by the shock intensity they face - would help to increase their bargaining power within the households.