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. The authors thank Enrique Mendoza, Kolver Hernández, Peter Ireland, Gabriel Montes-Rojas, José Pineda, Rob Vigfusson, Diego Vilán, Carlos Zarazaga, and seminar participants at the Inter-American Development Bank, the Atlanta Fed, the SCIEA meetings at the Philadelphia Fed, California State University-Fullerton, LACEA-LAMES, SEA, CCMS, the University of Torcuado Di Tella, the Central Bank of Argentina, and the Central Bank of the Philippines for helpful comments. Sergio Guerra and M. Laurel Graefe provided superb research assistance. The views expressed here are the authors' and not necessarily those of the Federal Reserve Bank of Atlanta, the Federal Reserve System, or the World Bank. Any remaining errors are the authors' responsibility. Abstract: Using data for El Salvador and Bayesian techniques, we develop and estimate a two-sector dynamic stochastic general equilibrium model to analyze the effects of remittances in emerging market economies. We find that, whether altruistically motivated or otherwise, an increase in remittance flows leads to a decline in labor supply and an increase in consumption demand that is biased toward nontradables. The higher nontradable prices serve as incentive for an expansion of that sector, culminating in reallocation of labor away from the tradable sector; a phenomenon known as the Dutch disease. Quantitative results also indicate that remittances improve households' welfare as they smooth income flows and increase consumption and leisure levels. A Bayesian vector autoregression analysis provides results that are consistent with the dynamics of the model. JEL classification: F40 F41 O10 Terms of use: Documents in

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. The authors thank Enrique Mendoza, Kolver Hernández, Peter Ireland, Gabriel Montes-Rojas, José Pineda, Rob Vigfusson, Diego Vilán, Carlos Zarazaga, and seminar participants at the Inter-American Development Bank, the Atlanta Fed, the SCIEA meetings at the Philadelphia Fed, California State University-Fullerton, LACEA-LAMES, SEA, CCMS, the University of Torcuado Di Tella, the Central Bank of Argentina, and the Central Bank of the Philippines for helpful comments. Sergio Guerra and M. Laurel Graefe provided superb research assistance. The views expressed here are the authors' and not necessarily those of the Federal Reserve Bank of Atlanta, the Federal Reserve System, or the World Bank. Any remaining errors are the authors' responsibility. Abstract: Using data for El Salvador and Bayesian techniques, we develop and estimate a two-sector dynamic stochastic general equilibrium model to analyze the effects of remittances in emerging market economies. We find that, whether altruistically motivated or otherwise, an increase in remittance flows leads to a decline in labor supply and an increase in consumption demand that is biased toward nontradables. The higher nontradable prices serve as incentive for an expansion of that sector, culminating in reallocation of labor away from the tradable sector; a phenomenon known as the Dutch disease. Quantitative results also indicate that remittances improve households' welfare as they smooth income flows and increase consumption and leisure levels. A Bayesian vector autoregression analysis provides results that are consistent with the dynamics of the model. JEL classification: F40 F41 O10 Terms of use: Documents in

No abstract

Using disaggregated sectorial data for developing and transition countries, this study shows that rising levels of remittances have spending effects that may lead to real exchange rate appreciation, and resource movement effects that favor the nontradable sector at the expense of tradable goods production. These are two characteristics of the phenomenon known as “Dutch disease”. The results further suggest that resource movement effects that favor the nontradable sector should operate stronger under fixed nominal exchange rate regimes.

No abstract