econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression …

are often blamed for this outcome. However, the standard errors-in-variables model has not been applied widely, partly …

like wages or GDP growth. Applied econometrics has since evolved to prioritize the estimation of specific causal effects …

I discuss the econometrics and the economics of past research on the effects of minimum wages on employment in the …

coefficients in probit and logit may be justified in some cases, and 3) parallel trends in the period prior to treatment is …

strategies that combine econometrics and machine learning when conducting forecasts with new big data sources. Specifically … reduction strategies and traditional econometrics approaches in fore-cast accuracy, there are further significant gains from …

When combined with the logical notion of partially interpreted functions, many nonparametric results in econometrics … classical measurement error model, point identification in discrete choice models, and comparative statics in the nonparametric … Roy model. This paper also discusses the computational complexity of real QE and its implementation in software used for …

processes provide a theoretical framework for analysis of such data sets. The ACD model developed by Engle and Russell (1995) is …

lognormal AR(1) model of the wholesale price processes for particular types of steel plate. We use this to infer the share of …