Search Results - subject:"Random coefficient"

A Comparative Study for Estimation Parameters in Panel Data Model

Youssef, Ahmed H.; Abonazel, Mohamed R. - Volkswirtschaftliche Fakultät, … - 2009

several estimation methods, such as Random Coefficient Regression (RCR), Classical Pooling (CP), and Mean Group (MG …

Persistent link: https://www.econbiz.de/10011112264

Auray, Stéphane; Eyquem, Aurélien; Jouneau-Sion, … - Département d'économique, Faculté d'administration - 2009

This paper proposes a conceptual framework to investigate the impact of military conflicts on business cycles, as well as defense policies through enrolment mechanisms. Our framework is a variation of a Real Business Cycle model first proposed by Hercowitz and Sampson (1991) that admits explicit...

Persistent link: https://www.econbiz.de/10005041081

Economic and Political Determinants of Budget Deficits in the European Union: A Dynamic Random Coefficient Approach

Bayar, Ali; Smeets, Bram - CESifo - 2009

This paper formulates a dynamic Random Coefficient Model (RCM) to consider a set of popular determinants of public …

Persistent link: https://www.econbiz.de/10005766282

Testing the Correlated Random Coefficient Model

Heckman, James J.; Schmierer, Daniel - Geary Institute, University College Dublin - 2009

acted on by them may not be known by the observing economist. Such models are called correlated random coefficient models … empirical relevance of the correlated random coefficient model to examine whether the additional complications associated with … instrumental variable estimator for the correlated random coefficient model. We apply the methods in this paper to the prototypical …

Persistent link: https://www.econbiz.de/10008487703

Testing the Correlated Random Coefficient Model

Heckman, James J.; Schmierer, Daniel; Urzua, Sergio - Institute for the Study of Labor (IZA) - 2009

Persistent link: https://www.econbiz.de/10008527326

Putting the Parts together; Trade, Vertical Linkages, and Business Cycle Comovement

Levchenko, Andrei A.; Giovanni, Julian di - International Monetary Fund (IMF) - 2009

Countries that trade more with each other exhibit higher business cycle correlation. This paper examines the mechanisms underlying this relationship using a large cross-country industry-level panel dataset of manufacturing production and trade. We show that sector pairs that experience more...

Persistent link: https://www.econbiz.de/10008528677

Microenvironment-specific Effects in the Application Credit Scoring Model

Khudnitskaya, Alesia S. - Volkswirtschaftliche Fakultät, … - 2009

Paper introduces the improved version of a credit scoring model which assesses credit worthiness of applicants for a loan. The scorecard has a two-level multilevel structure which nests applicants for a loan within microenvironments. Paper discusses several versions of the multilevel scorecards...

Persistent link: https://www.econbiz.de/10008564516

Testing for a Unit Root in a Random Coefficient Panel Data Model

Westerlund, Joakim; Larsson, Rolf - Nationalekonomiska institutionen, Handelshögskolan - 2009

This paper proposes a new unit root test in the context of a random autoregressive coefficient panel data model, in which the null of a unit root corresponds to the joint restriction that the autoregressive coefficient has unit mean and zero variance. The asymptotic distribution of the test...

Persistent link: https://www.econbiz.de/10008566276

Traffic Safety and Vehicle Choice: Quantifying the Effects of the "Arms Race" on American Roads

Li, Shanjun - 2009

The increasing market share of light trucks in the U.S. in recent years has been characterized as an “arms race” where individual purchase of light trucks for better self-protection in collisions nevertheless leads to worse traffic safety for the society. This paper investigates the...

Persistent link: https://www.econbiz.de/10008458083

A Space-Time Filter for Panel Data Models Containing Random Effects

Parent, Olivier; Lesage, James P. - 2009

A space-time filter structure is introduced that can be used to accommodate dependence across space and time in the error components of panel data models that contain random effects. This general specification encompasses several more specific space-time structures that have been used recently...

Persistent link: https://www.econbiz.de/10014046455