Assessing the productivity consequences of agri-environmental practices when adoption is endogenous

Journal of Productivity Analysis - We address the general problem of selection bias, an issue endemic to policy analysis when adoption is voluntary, with an empirical application to environmental...     

ARDL Approach to Test the Productivity Bias Hypothesis

The productivity bias hypothesis states that a relatively more productive country should experience a real appreciation of its currency. Most studies in the literature that have tested the hypothesis have employed cross‐sectional data. Only a few studies have used time‐series data and they have tested the hypothesis for only a small number of countries. In this paper the authors test the hypothesis by using time‐series data over the 1960–90 period for a sample of 44 countries and with a relatively new method of cointegration known as the ARDL approach. For most countries there is strong evidence supporting the hypothesis.     

Deterministic and stochastic trends in the time series models: a guide for the applied economist

Applied economists working with time series data face a dilemma in selecting between models with deterministic and stochastic trends. While models with deterministic trends are widely used, models with stochastic trends are not so well known. In an influential paper Harvey (1997 Harvey, AC. 1997. Trends, cycles and autoregression. Economic Journal, 107: 192–201. [Crossref] , [Google Scholar]) strongly advocates a structural time series approach with stochastic trends in place of the widely used autoregressive models based on unit root tests and cointegration techniques. Therefore, it is important to understand their relative merits. This article suggests that both methodologies are useful and they may perform differently in different models. This article provides a few guidelines to the applied economists to understand these alternative methods.     

Nominal vs real adjustment in demand for money functions

Recently, Fair (1987) has addressd an interesting question in the areas of demand for money, namely, whether the adjustment of actual to desired demand for money is in nominal or real terms. His conclusion, based on time-seies analysis for twenty-seven countries, including a few developing countries, was that the evidence was overwhelmingly in favour of the nominal hypothesis.

The aim of this paper is to address the same issue for eleven Asian countries. In the process, a reformulation of the test procedure used by Fair is suggested. In addition, the question is also examined within the framework of the error correction model. The models are also tested for structural stability.

The scheme of the paper is as follows. The models and the tests are specified in Section I. The data and the estimation issues are dealt with in Section II. Section III presents the results. The paper is concluded with a brief summary of the major findings.     

Selection dynamics and adaptive behavior without much information

This paper uses the experimental method to investigate behavior in a coordination game when the information available to subjects is limited to their feasible choices and their experienced payoffs. In the experiment subjects converge to an absorbing state at rates that are orders of magnitude faster than reinforcement learning algorithms, but slower than under complete information. This state is very close to a mutual best response outcome. All cohorts converged to the market statistic predicted by the interior equilibrium regardless of the information conditions or the stability conditions. Eric Battalio programmed the graphical user interface. The National Science Foundation and Texas Advanced Research Program provided financial support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Texas Advanced Research Program.