In this article, we describe how to fit panel-data ordered logit models with fixed effects using the new community-contributed command feologit. Fixed-effects models are increasingly popular for estimating causal effects in the social sciences because they flexibly control for unobserved time-invariant heterogeneity. The ordered logit model is the standard model for ordered dependent variables, and this command is the first in Stata specifically for this model with fixed effects. The command includes a choice between two estimators, the blowup and cluster (BUC) estimator introduced in Baetschmann, Staub, and Winkelmann (2015, Journal of the Royal Statistical Society, Series A 178: 685–703) and the BUC- τ estimator in Baetschmann (2012, Economics Letters 115: 416–418). Baetschmann, Staub, and Winkelmann (2015) showed that the BUC estimator has good properties and is almost as efficient as more complex estimators such as generalized method-of-moments and empirical likelihood estimators. The command and model interpretations are illustrated with an analysis of the effect of parenthood on life satisfaction using data from the German Socio-Economic Panel.

This paper introduces MARTIN -the Reserve Bank of Australia's (RBA) current model of the Australian economy. MARTIN is an economy-wide model used to produce forecasts and conduct counterfactual scenario analysis. In contrast to other large-scale models used at the RBA -and at many other central banks -which adhere to a narrow theoretical view of how the economy operates, MARTIN is a macroeconometric model that consists of a system of reduced form equations built to strike a balance between theoretical rigour and empirical realism. Most of the model's equations align closely with the way RBA staff typically interpret the behaviour of individual economic variables. However, combining these individual equations in a system can bring fresh insights that are not possible without model-based analysis. In the paper we provide an overview of the model, outline its core behavioural equations and describe its empirical properties. The Online Appendix presents the full set of model equations.JEL Classification Numbers: C32, C53, E10, E17, E47

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