Estimation of the structural model
Structural estimation of a principal-agent model: moral hazard in medical insurance
... probit model is not related to the theoretical model explained ...statistical model used as a descriptive device. For the estimation of this model I used the same illness spells ...
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A structural model of sales-force compensation dynamics: Estimation and field implementation
... Sales (proportional to effort) tend to increase as agents get closer to quota, suggesting increasing effort allocation, but fall once the agent reaches about 40% of the quota in the firs[r] ...
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A Structural Model of Sales-Force Compensation Dynamics: Estimation and Field Implementation
... the model was used to improve sales-force contracts. The model is built on agency theory, and solved using numerical dynamic programming ...The model is ‡exi- ble enough to handle quotas and bonuses, ...
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Pseudo-maximum likelihood estimation of a dynamic structural investment model
... the estimation of these models was some kind of solution-estimation algorithm in the spirit of the Nested Fixed Point (NFXP) algo- rithm (Rust, ...This estimation method consists of a nested ...
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A Structural Estimation Approach to an Asymmetric Auction Model for the Japanese Retail Power Market
... a structural auction model and quantify the effects of policy measures aiming to enhance competition in the Japanese retail power ...theoretical model that incorporates asymmetries between the ...
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Structural estimation of the New Keynesian Model: a formal test of backward and forward looking expectations
... between structural parameters and the objective function during ...the structural model; in other words, the minimization problem in extreme estimators often does not have a unique solution ...
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QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information
... best model is selected from the ...quality model among alternatives are of crucial ...the structural density in the ensemble of models and approaches being able to estimate the quality of a single ...
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Price competition, mergers and structural estimation in oligopoly
... Brazilian cement industry are indicative of (tacit) market division. The third con tribution has policy implications in relation to the cement industry, particularly in developing countries. In a developing country such ...
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Identification and estimation of a large factor model with structural instability
... Consequently, estimators of the number of factors which perform well in the normal case tend to underestimate the number of pseudo factors, while estimators which tend to overestimate in the normal case, perform well in ...
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A Structural Estimation and Interpretation of the New Keynesian Macro Model
... The effect of the monetary surprise on inflation is very modest: The small estimate of the Phillips Curve parameter in the AS equation, which governs the direction and the size of the in[r] ...
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The Identification and Estimation of a Large Factor Model with Structural Instability
... few. Estimation theory of large factor models also experienced some breakthroughs, see Bai and Ng (2002) and Bai (2003), to mention a ...of structural instability in macroeconomic and financial time ...
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Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
... of structural vector autoregressive (SVAR) models popular in econometric theory, in which numerous attempts have been made for its estimation, see, for example, Swanson and Granger (1997), Demiralp and ...
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Structural stochastic volatility in asset pricing dynamics: Estimation and model contest
... Figure 2 selects the herding variant of the discrete choice approach, i.e. DCA–HPM, to show the implications of the switching pattern for the evolution of prices and returns. First, there are some more chartist episodes ...
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Optimal Policy Under Model Uncertainty: A Structural-Bayesian Estimation Approach
... the model does not necessarily increase the marginal ...benchmark model with a demand for cash lowers the marginal likelihood, since real money balances do not help to predict the ob- servable ...the ...
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Structural Stochastic Volatility in Asset Pricing Dynamics: Estimation and Model Contest
... Figure 2 selects the herding variant of the discrete choice approach, i.e. DCA–HPM, to show the implications of the switching pattern for the evolution of prices and returns. First, there are some more chartist episodes ...
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Structural Stochastic Volatility in Asset Pricing Dynamics: Estimation and Model Contest
... of structural stochastic volatility, which derives from different noise levels in the demand of fundamentalists and chartists and the time-varying market shares of the two ...The model contest along these ...
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Model selection and parameter estimation in structural dynamics using approximate Bayesian computation
... in structural dynamics with complex nonlinearity types, it is often the case that the hypothesis of Gaussianity is not ...different model spaces without the need of any mapping function to be defined, which ...
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Structural Estimation of Marriage Models
... Fourth, individual marriage history is used rather than census data, which record a stock of individuals at a given point in time. The advantage of using marriage history data is two-fold. Agents’ marriageable traits are ...
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Sparse estimation for structural variability
... sparse estimation to distinguish between conformers that are just noisy versions of a base conformation ...true structural outliers without the need for any artificial parameters to model noise ...
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Structural estimation of the New Keynesian Model: a formal test of backward and forward looking expectations
... New-Keynesian model (NKM) is examined using the method of moment and maximum likelihood estimators with US data from 1960 to ...the model while offsetting the influence of inherited and extrinsic ...
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