In this paper, we examine two questions: i) how changes in the funding costs of banks affect retail loan rates and ii) how changes in relative loan rates between banks affect their market shares. To do so, we estimate a simultaneous system of equations model using panel data for six Norwegian...

Based on a large international panel of surveyed GDP forecasts I analyze the frequency of forecast revisions and the factors that influence the likelihood of forecast revisions. I find that each month on average 40%–50% of forecasters revise their forecasts. In addition, I find that the...

In this paper, we examine two questions: i) how changes in the funding costs of banks affect retail loan rates and ii) how changes in relative loan rates between banks affect their market shares. To do so, we estimate a simultaneous system of equations model using panel data for six Norwegian...

Purpose - This study investigates the dynamic causality linkages between fiscal deficits and selected macroeconomic indicators in a panel of five East African Community countries. Design/methodology/approach The research design is based on panel cointegration tests, panel cross-section...

Purpose This study investigates the dynamic causality linkages between fiscal deficits and selected macroeconomic indicators in a panel of five East African Community countries. Design/methodology/approach The research design is based on panel cointegration tests, panel cross-section dependence...

Between 2000 and 2013, Latin America has considerably reduced poverty (from 46.3 to 29.7 % of the population). In this paper, we use synthetic panels to show that, despite progress, the region remains characterized by substantial vulnerability that also affects the rising middle class. More...

This paper uses different approaches to determine the contribution of internal policies and external factors on the good performance of the Bolivian economy in the recent past. It is demonstrated that the extremely favorable external conditions are mainly responsible for its bonanza, and that...

This paper develops a new methodology that makes use of the factor structure of large dimensional panels to understand the nature of non-stationarity in the data. We refer to it as PANIC‹ a 'Panel Analysis of Non-stationarity in Idiosyncratic and Common components'. PANIC consists of...

Cross institutional forecast evaluations may be severely distorted by the fact that forecasts are made at different points in time, and thus with different amount of information. This paper proposes a method to account for these differences. The method computes the timing effect and the...

We emphasize using our solutions to the problems of omitted variables, measurement errors, and unknown functional forms to improve model specification, and to estimate the mean square error of an empirical best linear unbiased predictor of an individual drawing of the dependent variable of an...