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administered incentives. -- principal agent ; experiment ; specific human capital …
Persistent link: https://www.econbiz.de/10009580472
sequencing structure of game types, game rules do matter, and directional learning theory offers a partial explanation for bid …
Persistent link: https://www.econbiz.de/10009581102
bidders. In our experiment participants face four auction types (first versus second price - auction versus fair division game …
Persistent link: https://www.econbiz.de/10009582405
Experimental studies have shown that trust and reciprocity are effective in increasing efficiency when complete contracting is infeasible. One example is the study by Berg et al. (1995) of the investment game. In this game the person who receives the investment is the one who may reward the...
Persistent link: https://www.econbiz.de/10009612013
that are well known from game theory and evolutionary game theory to solve these games. For illustration we include two …
Persistent link: https://www.econbiz.de/10009580475
observed in the experiment aim at fair surplus sharing. -- principal-agent theory ; contract theory ; fair sharing ; incentive …Modern 'principal-agent theory' has made a lot of progress in proposing theoretical Solutions to agency problems. This … evidence on offered contracts and effort choices in a simple agency game. In line with principal-agent theory we find that in …
Persistent link: https://www.econbiz.de/10009581090
For over a decade, nonparametric modelling has been successfully applied to study nonlinear structures in financial time series. It is well known that the usual nonparametric models often have less than satisfactory performance when dealing with more than one lag. When the mean has an additive...
Persistent link: https://www.econbiz.de/10009578559
A nonparametric version of the Final Prediction Error (FPE) is proposed for lag selection in nonlinear autoregressive time series. We derive its consistency for both local constant and local linear estimators using a derived optimal bandwidth. Further asymptotic analysis suggests a greater...
Persistent link: https://www.econbiz.de/10009659069
Additive modelling has been widely used in nonparametric regression to circumvent the "curse of dimensionality", by reducing the problem of estimating a multivariate regression function to the estimation of its univariate components. Estimation of these univariate functions, however, can suffer...
Persistent link: https://www.econbiz.de/10009626746
Additive modelling is known to be useful for multivariate nonparametric regression as it reduces the complexity of problem to the level of univariate regression. This usefulness could be compromised if the data set was contaminated by outliers whose detection and removal are particularly...
Persistent link: https://www.econbiz.de/10009627283