Inter-Regional Migration in Australia: an Applied Economic Analysis.

In analysing the effects of economic policy in a Federal system, such as Australia, it is important to understand the interactions between the States and Territories. In particular, given that there is free movement between labour markets, to analyse economic policy it is important to understand the factors influencing inter- regional migration. In this paper we use data from 1982 to 1996 to estimate a structural econometric model of inter-regional migration. The results are then used to re-specify and calibrate the Computable General Equilibrium model MONASH-MRF. This then provides a more detailed picture of labour market responses when we subsequently simulate the response of net interstate migration to changes in State Government spending.CGE models, Migration, MONASH-MRF.

Estimating Advertising Half-Life and the Data Interval Bias.

We compare three methods of estimating the duration, or half-life, of how well each method works with the data aggregated over different time intervals. In contrast with the existing theory on the, so called, data interval bias, our experiments are based upon realistic advertising schedules. Our results appear to indicate that the indirect "t-ratio" estimating procedure favoured by practitioners works well in the presence of such temporal aggregation. Additionally, we suggest a transformation that can be used in combination with the indirect "t-ratio" estimating procedure to obtain estimates of the underlying microperiod half- life from a variety of common (macro) data frequencies.Adstock, half-life, data interval bias.

On the use of some Burr family distributions in econometrics

SIGLEAvailable from British Library Document Supply Centre- DSC:D88123 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A Monte Carlo Study of Tests for the Independence of Irrelevant Alternatives Property

A plethora of tests for the Independence of Irrelevant Alternatives (HA) property of Logit models of discrete choice behavior has been proposed in the literature. These tests are based upon asymptotic arguments and little is known about their size and power properties in finite samples. This paper uses a Monte Carlo simulation study to investigate the size and power properties of six tests for IIA in the multinomial Logit model. Our results show that the majority of tests based upon partitioning the choice set appear to have very poor size and power properties in small samples. Tests for IIA based upon the DOGIT model, similarly have poor size properties, but in some circumstances do have reasonable power properties

Testing for independence of irrelevant alternatives some empirical results

In a recent article, Zhang and Hoffman discuss the use of discrete choice logit models in sociological research. In the present article, the authors estimate a multinomial logit model of U.K. Magistrates Courts sentencing using a data set collected by the National Association for the Care and Resettlement of Offenders (NACRO) and test the independence of irrelevant alternatives (IIA) property using six tests. Conducting the tests with the appropriate large sample critical values, the authors find that the acceptance or rejection of IIA depends both on which test and which variant of a given test is used. The authors then use simulation techniques to assess the size and power performance of the tests. The empirical example is revisited with the inferences performed using empirical critical values obtained by simulation, and the resultant inferences are compared. The results show that empirical workers should exercise caution when testing for IIA