Durability, Re-Trading And Market Performance,
2010
Chapman University
Durability, Re-Trading And Market Performance, John Dickhaut, Shengle Lin, David Porter, Vernon Smith
ESI Working Papers
Key differential structural characteristics of environments studied in previous market experiments have documented large divergences in their observed performance, particularly discrepancies in their convergence to expected equilibrium outcomes. We investigate why this should be so.
Testing Linearity In Cointegrating Relations With An Application To Purchasing Power Parity,
2010
Korea University - Korea
Testing Linearity In Cointegrating Relations With An Application To Purchasing Power Parity, Seong Hyun Hong, Peter C. B. Phillips
Research Collection School Of Economics
This article shows that when applied to nonstationary time series, the conventional Regression Error Specification Test (RESET) leads to severe size distortion and its asymptotic distribution involves a mixture of noncentral chi(2) distributions. Nonstationarity introduces bias terms in the limit distribution, and appropriate corrections for the bias are presented leading to a modified RESET test that has a central chi(2) limit distribution. In simulations, this modified test is shown to have power not only against nonlinear cointegration but also against the absence of cointegration. In an empirical illustration, the linear purchasing power parity (PPP) specification is tested using five Organization …
Functional Coefficient Estimation With Both Categorical And Continuous Data,
2010
Singapore Management University
Functional Coefficient Estimation With Both Categorical And Continuous Data, Liangjun Su, Ye Chen, Aman Ullah
Research Collection School Of Economics
We propose a local linear functional coefficient estimator that admits a mix of discrete and continuous data for stationary time series. Under weak conditions our estimator is asymptotically normally distributed. A small set of simulation studies is carried out to illustrate the finite sample performance of our estimator. As an application, we estimate a wage determination function that explicitly allows the return to education to depend on other variables. We find evidence of the complex interacting patterns among the regressors in the wage equation, such as increasing returns to education when experience is very low, high return to education for …
Estimation Of High-Frequency Volatility: An Autoregressive Conditional Duration Models Approach,
2010
Singapore Management University
Estimation Of High-Frequency Volatility: An Autoregressive Conditional Duration Models Approach, Yiu Kuen Tse, Tao Yang
Research Collection School Of Economics
We propose a method to estimate the intraday volatility of a stock by integrating the instantaneous conditional return variance per unit time obtained from the autoregressive conditional duration (ACD) models. We compare the daily volatilities estimated using the ACD models against several versions of the realized volatility (RV) method, including the bipower variation realized volatility with subsampling, the realized kernel estimate and the duration-based realized volatility. The ACD volatility estimates correlate highly with and perform very well against the RV estimates. Our Monte Carlo results show that our method has lower root mean-squared error than the RV methods in most …
Numerical Analysis Of Non-Constant Pure Rate Of Time Preference: A Model Of Climate Policy,
2010
Singapore Management University
Numerical Analysis Of Non-Constant Pure Rate Of Time Preference: A Model Of Climate Policy, Tomoki Fujii, Larry Karp
Research Collection School Of Economics
When current decisions affect welfare in the far-distant future, as with climate change, the use of a declining pure rate of time preference (PRTP) provides potentially important modeling flexibility. The difficulty of analyzing models with non-constant PRTP limits their application. We describe and provide software (available online) to implement an algorithm to numerically obtain a Markov perfect equilibrium for an optimal control problem with non-constant PRTP. We apply this software to a simplified version of the numerical climate change model used in the Stern Review. For our calibration, the policy recommendations are less sensitive to the PRTP than widely believed.
