Zero-inflated ordered probit (ZIOP) and middle-inflated ordered probit (MIOP) models are finding increasing favour in the discrete choice literature. We propose generalisations to these models which collapse to their ZIOP/MIOP counterparts under a set of simple parameter restrictions with respect to the inflation process. These generalisations form the basis of a new specification test of the inflation process in ZIOP and MIOP models. Support for our generalisation framework is principally demonstrated by revisiting a key ZIOP application from the economics literature, and reinforced by the reassessment of an important MIOP application from political science. Our specification test supports the generalised models over the original ZIOP/MIOP...
We use concepts from the financial economics discipline – and in particular the methods of continuou...
The dynamic properties of the The New Keynesian Phillips curve (NPC) is analysed within the framewor...
Inflation is a Python package that implements inflation algorithms for causal inference. In causal i...
Zero-inflated ordered probit (ZIOP) and middle-inflated ordered probit (MIOP) models are finding inc...
We propose a Tempered Ordered Probit (TOP) model. Our contribution lies not only in explicitly accou...
We introduce three new commands—nop, ziop2, and ziop3—for the estimation of a three-part nested orde...
We propose a new framework for the modelling of count data exhibiting zero inflation (ZI). The main ...
Selection and forecasting are integral to econometric modelling and this thesis addresses both issue...
Selection and forecasting are integral to econometric modelling and this thesis addresses both issue...
Data for discrete ordered random variables are often characterised by "excessive" zero observations....
Three classes of inflation models are discussed: Standard Phillips curves, New Keynesian Phillips cu...
Data for discrete ordered random variables are often characterised by “excessive” zero observations....
The aim of this study is a preliminary test of input-output price model as a tool for forecasting in...
The aim of this study is a preliminary test of input-output price model as a tool for forecasting in...
We analyse the microfoundations of the Phillips curve, a key relationship in general macroeconomics ...
We use concepts from the financial economics discipline – and in particular the methods of continuou...
The dynamic properties of the The New Keynesian Phillips curve (NPC) is analysed within the framewor...
Inflation is a Python package that implements inflation algorithms for causal inference. In causal i...
Zero-inflated ordered probit (ZIOP) and middle-inflated ordered probit (MIOP) models are finding inc...
We propose a Tempered Ordered Probit (TOP) model. Our contribution lies not only in explicitly accou...
We introduce three new commands—nop, ziop2, and ziop3—for the estimation of a three-part nested orde...
We propose a new framework for the modelling of count data exhibiting zero inflation (ZI). The main ...
Selection and forecasting are integral to econometric modelling and this thesis addresses both issue...
Selection and forecasting are integral to econometric modelling and this thesis addresses both issue...
Data for discrete ordered random variables are often characterised by "excessive" zero observations....
Three classes of inflation models are discussed: Standard Phillips curves, New Keynesian Phillips cu...
Data for discrete ordered random variables are often characterised by “excessive” zero observations....
The aim of this study is a preliminary test of input-output price model as a tool for forecasting in...
The aim of this study is a preliminary test of input-output price model as a tool for forecasting in...
We analyse the microfoundations of the Phillips curve, a key relationship in general macroeconomics ...
We use concepts from the financial economics discipline – and in particular the methods of continuou...
The dynamic properties of the The New Keynesian Phillips curve (NPC) is analysed within the framewor...
Inflation is a Python package that implements inflation algorithms for causal inference. In causal i...