Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

We explore the determinants of financial satisfaction using a modelling framework which allows the drivers of financial satisfaction to vary across life stages. Given that financial satisfaction is measured as an ordered variable, our modelling approach is based on a latent class ordered probit...

This article attempts to identify, from among the family of Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models, the model that best describes the Indian stock market volatility by (a) building volatility models using the traditional GARCH models that accounts for asymmetry;...

This paper analyses the extent to which the South African Reserve Bank (SARB) uses the repo rate in response to exchange rate depreciations. We use a Vector Autoregression to model the simultaneous linkage between the real effective exchange rate and the policy rate. A combination of short-run...

In this article we use a multivariate framework to estimate net profits and levels of capital and labor for informal Mexican microfirms had they been formal. We estimate a Roy model to simultaneously model three different microfirm responses conditional on the sector (formal or informal) choice....

This article describes the data collection and use of data for the computation of rankings within RePEc (Research Papers in Economics). This encompasses the determination of impact factors for journals and working paper series, as well as the ranking of authors, institutions, and geographic...

This paper derives stylised facts on sectoral inflation dynamics and confronts these facts with two popular theoretical models of price setting. Based on sectoral price responses to macroeconomic shocks estimated from an approximate factor model, we find that the frequency of price changes...

The most popular econometric models in the panel data literature are the class of linear panel data models with unobserved individual- and/or time-specific effects. The consistency of parameter estimators and the validity of their economic interpretations as marginal effects depend crucially on...

We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, which is commonly the case in survey data, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to...

This paper examines the impact of real exchange rate volatility on economic growth in Kenyan. The study employed the Generalized Autoregressive Condition of Heteroscedasticity (GARCH) and computation of the unconditional standard deviation of the changes to measure volatility and Generalized...