Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Octopus exports are an important source of foreign exchange for Mauritania. The export market has historically been dominated by coordinated Japanese buyers, a situation that led Mauritania to create the Societe Mauritanienne de Commercialisation de Poisson (SMCP) to negotiate with buyers and...

This study conducts an investigation on the application of classical unit-root tests using parametric tests (the augmented Dickey-Fuller, 1979 – ADF), and nonparametric tests (Phillips and Perron, 1988—PP) to corn and soybean yields in the Delta states using county-level data from 1961 to...

The paper conducts an empirical investigation of the US meat demand system using quarterly data on per capita meat consumption and prices. SUR maximum likelihood is used to estimate a static and dynamic (error correction) linear almost ideal demand systems. Results compare static and dynamic...

Using Japanese economic data and a Monte Carlo simulation, this study analyzes the consequences of ignoring deterministic trends in mixed unit-root data for Granger noncausality tests. Results from an augmented VAR suggest over-rejection in certain empirically relevant cases at various sample sizes.

Two asymptotically valid out-of-sample MSE tests have been developed by Diebold-Mariano (1995) and Stock-Watson (1999). The empirical usefulness of the tests is illustrated through a U.S. wheat model estimated with fixed, recursive and rolling forecasting schemes. Bootstrap methods are adopted...

A credit scoring function incorporating statistical selection criteria was proposed to evaluate the credit worthiness of agricultural cooperative loans in the Fifth Farm Credit District. In-sample (1981-1986) and out-of-sample (1988) prediction performance of the selected models were evaluated...

This study provides empirical evidence on whether corn, sorghum, oat, barley, wheat, rice, soybeans, cotton, and peanuts exhibit cyclical patterns in their historical prices. The results of time-series analysis support a newly added counter-cyclical payment in the Farm Security and Rural...

Standard bootstrap method is used to generate confidence intervals (CIs) of impulse response functions of VAR and SVAR models in the pork sector. In the VAR model, the bootstrap method does not produce significant different results from Monte Carlo simulations. In the SVAR analysis, on the other...

Threshold models have gained much recent attention in applied economics for modeling nonlinear behavior. The appeal for these models is due in part to the observable pattern that many economic variables follow, such as asymmetric adjustment towards equilibrium. This paper reviews the literature...