“Panelizing” Repeated Cross Sections

This paper considers the implementation of a non-stationary, heterogeneous Markov model for the analysis of binary dependent variables in a time series of repeated cross-sectional (RCS) surveys. The model offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how maximum likelihood estimates of the parameters can be obtained by Fishers method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch and West German women using ISSP (and other) data from 10 annual Dutch surveys conducted between 1987 and 1996 and 7 annual West German surveys conducted between 1988 and 1994. Some open problems concerning the application of the model are discussed.     

When are adaptive expectations rational? A generalization

This note presents a simple generalization of the adaptive expectations mechanism in which the learning parameter is time variant. Expectations generated in this way minimize mean squared forecast errors for any linear state space model.     

Branding Decisions for Retailers’ Private Labels

Umbrella branding (UB) strategies for manufacturers’ products have received considerable attention in the literature. Not much is known about this strategy for private labels. Using a game-theoretic approach, we reassess the benefits of introducing a private label in a distinct category, and provide favorable conditions for the retailer to implement umbrella or individual branding for his private labels. We find that (1) UB leads to lower wholesale and retail prices for both national brands; (2) national brands’ manufacturers prefer individual branding over UB for private labels; and (3) the profitability of UB is not always guaranteed for the retailer.     

Reflections on the Dasgupta Review on the Economics of Biodiversity

Environmental and Resource Economics - The Dasgupta Review provides a rich overview of the economics of biodiversity, paints a bleak picture of the current state of biodiversity, and is a call to...     

High Leverage and Willingness to Pay: Evidence from the Residential Housing Market

I document a strong correlation between paying the full listing price on homes and borrowing 100% loan‐to‐value. Homebuyers who do both overpay by 2.8% to 3.9% ($4,800 to $6,700) and are 22.7% more likely to have their properties foreclosed within one year. The correlation is not mechanical: there is a discontinuity in the average leverage around the full listing price. The correlation is stronger in areas with a high fraction of financially constrained and unsophisticated residents, and in areas of high past price growth (potentially indicative of buyer optimism).     

Does Monetary Policy Respond to Uncertainty? Evidence from Australia

We construct a novel measure of uncertainty using expert monetary policy recommendation data for Australia. Our results suggest that the Reserve Bank of Australia (RBA) tends to lower the cash rate when expert uncertainty is high. This result is robust to using other uncertainty measures.     

Trade-threshold Effect on Inflation in Tunisia: New Evidence Resulting from a Nonlinear Approach

Trade openness is an important determinant of the inflation process. The effect of trade openness on inflation, however, is still an issue of debate at both theoretical and empirical levels. This study tried to provide a contribution to the literature by examining the relationship between inflation and trade openness in Tunisia over the period 1975Q1-2015Q4 using a nonlinear model. The originality of this study stems from the fact that it is the first investigation considering both the Residual-Based Tests for Cointegration in Models with the Regime Shifts and Threshold Regression model. The linear model confirms the existence of a positive relationship between inflation and trade in Tunisia. Yet, considering the nonlinear model, trade openness growth and Consumer Price Index (CPI) inflation growth show a statistically significant negative link as long as the trade openness evolution does not exceed the threshold. Nevertheless, if the trade openness growth is higher than the threshold, integrating the trade positively affects CPI inflation. Furthermore, a positive influence of Money supply growth on this type of inflation was noticed in Tunisia in all the considered regimes proving the effect of monetary factors on inflation level. Consequently, trade openness could be used to control inflation in Tunisia.