1,802 research outputs found

    Dynamic Factor Demands in a Changing Economy - An Irish Application

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    In this paper a model of dynamic factor demands is presented for the Irish economy. Total costs, labour and capital are modelled on a two-stage basis. First, a static, long-run cost function is specified which allows for the derivation of expressions for optimal labour and capital demand. This function is assumed to be of the flexible, translog form and thus more general than the generic Cobb-Douglas application. In the second stage, a dynamic cost function is specified which nests the long-run static approach. Growth rates in factor shares are derived from the dynamic approach and the rate of adjustment of input use to factor price changes is examined through the use of short and long-run elasticities.

    Credit conditions and tenure choice: A cross-country examination [on housing market]. ESRI WP582, December 2017

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    An understanding of the house price to rent ratio and its determinants is important in assessing housing market developments and tenure choice therein. While the ratio is most usually explained by the user cost of capital, the influence of credit conditions on it has been added to econometric assessments in recent years. Using a new cross-country panel, we estimate the impact of variations in credit conditions on the house price to rent ratio between 1994 and 2015 on both a panel and country-by-country basis. This period was one of substantial cross-country house price movements as developments in standard explanatory variables, such as income levels, interest rates and demographics, were accompanied by major changes in credit markets. In line with other recent studies, our results establish the relevance of credit conditions to the house price to rent ratio at both panel and country levels. Moreover, the evidence points to credit conditions dominating the user cost of capital over the sample period, emphasising the need to include credit analysis when evaluating housing market developments
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