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Non-technical summaryWe analyze exchange rate pass-through, i.e. the change in local currency prices resulting from variations in the exchange rate, for consumer prices in the euro area. We first estimate country-specific pass-through coefficients for five large countries of the euro area (Germany, France, Italy, Spain and the Netherlands) using time series data for the past 20 years. Following this we construct a weighted average of these coefficients using the weight of each country in the Harmonized Index of Consumer Prices (HICP).As Menon (1995) in a comprehensive survey of the relevant literature points out, former empirical studies of exchange rate pass-through focus largely on the US and often neglect the time series properties of the data. To our knowledge, Ranki (2000) is the only source so far that analyzes data for the euro area. Furthermore, many recent studies analyze the pass-through to import prices of different products on the micro level rather than focussing on the effects of aggregate price measures like consumer price indices.We contribute to the existing literature in several ways. First, our study presents one of the first estimates of the effects of changes in the euro exchange rate on the Harmonized Index of Consumer Prices (HICP) in the euro area. Second, we estimate Vector Error Correction Models to take account of the non-stationarity of most of the used variables and cointegration relationships between them. Third, while a large part of the literature in the past years has focussed on the question "why" there is incomplete pass-through to import prices we present quantified effects on aggregate consumer price indices. Thus, our study is in the spirit of Kim (1998) Since aggregated time series data for the euro area are only available from 1999 on we estimate exchange rate pass-through for five large EU-countries separately and then compute an average for the euro area using the relative weight of each country in the HICP. Our country sample includes Germany, France, Italy, Spain and the Netherlands which together represent about 86 percent of the influence on the HICP. Thus, we believe our results are a rather robust estimate of the exchange rate influence.Our study uses monthly data from 1981 until 2001 and includes as variables nominal national effective exchange rate indices, short-term interest rates, output gaps constructed from industrial production, the oil price and all three stages of ...