It is shown how one can effectively use cross-section data in modelling the change over time in aggregate consumption expenditure of a heterogeneous population. The starting point of our aggregation analysis is a dynamic behavioral relation on the household level. Based on certain hypotheses on...

This paper studies the optimal consumption behavior of individuals who face borrowing limitations that vary stochastically with their income. This framework is motivated by new empirical evidence that I document in U.S. aggregate data: predictable growth in consumer credit is significantly...

We apply the collective consumption model of Browning, Chiappori and Lewbel (2006) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule...

It has been widely documented that reference points influence the choice. If references affect choice by attracting attention towards an alternative, what can be said about the joint effect of the references? Assuming that references form preferences, or are rational filters, this paper extracts...

We apply the collective consumption model of Browning, Chiappori and Lewbel (2006) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule...

We apply the collective consumption model of Browning, Chiappori and Lewbel (2006) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule...

With a steep fall in the national savings rate in developing economies attributed to external shocks and stagnation of economic growth, this study will investigate the key drivers that explain variations in the public savings rate in Kenya using time series data spanning from 1975 to 2020....