Showing 1 - 10 of 2,278
expectations ; forecast averaging ; equity premium puzzle …
Persistent link: https://www.econbiz.de/10003985756
This study evaluates potential migration flows to the European Union from its eastern neighbors and Croatia. We perform out-of-sample forecasts using an adaption of the model of Hatton (1995) to time series cross-sectional data about post-enlargement migration flows following the EU's 2004...
Persistent link: https://www.econbiz.de/10010194751
of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We …
Persistent link: https://www.econbiz.de/10003310964
mortality if and only if mortality risk is convex in forecast errors. We test for such convexity using data on the universe of …
Persistent link: https://www.econbiz.de/10014309747
forecast errors; the training effect suggests that modest educational interventions can durably improve forecasting skills …. Forecast receipt increased demand for protective masks and increased the responsiveness of outdoor time to pollution. Forecast …
Persistent link: https://www.econbiz.de/10013472006
While stock market expectations are among the most important primitives of portfolio choice models, their measurement has proved challenging for some respondents. We argue that the magnitude of measurement error in subjective expectations can be used as an indicator of the degree to which...
Persistent link: https://www.econbiz.de/10010414230
Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are...
Persistent link: https://www.econbiz.de/10003816521
Persistent link: https://www.econbiz.de/10001908068
Persistent link: https://www.econbiz.de/10002120362
This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor...
Persistent link: https://www.econbiz.de/10003858869