This paper provides an extensive analysis of card spending during the COVID-19 pandemic in Turkey by using weekly aggregated and sectoral credit and debit card spending data from March 2014 to December 2020. At an aggregated level, we show that aggregate demand decreases significantly at the...

The paper estimates export demand elasticities for a large number of developing and developed countries, using time-series techniques that account for the nonstationarity in the data. The average long-run price and income elasticities are found to be approximately -1 and 1.5, respectively. Thus,...

This paper derives a structural import demand equation and estimates it for a large number of countries, using recent time series techniques that address the problem of nonstationarity. Because the statistical properties of the different estimators have been derived only asymptotically,...

The ratio of consumption to total household wealth (i.e., tangible assets plus unobserved human wealth) is commonly calculated from the estimation of a log-linear version of the household intertemporal budget constraint as a cointegrating relationship between consumption, assets and earnings...

Resource mobilization continues to be an important policy challenge for developing economies, raising questions as to what determines differences in saving behaviour across countries. Using a panel of 47 economies with at least 40 years of continuous time series data, we causally identify, using...

Using Gretl, I apply ARMA, Vector ARMA, VAR, state-space model with a Kalman filter, transfer-function and intervention models, unit root tests, cointegration test, volatility models (ARCH, GARCH, ARCH-M, GARCH-M, Taylor-Schwert GARCH, GJR, TARCH, NARCH, APARCH, EGARCH) to analyze quarterly time...

This paper solves the canonical dynamic rational inattention problem of Sims (2003) by formulating it in the frequency domain. The solution complements and extends existing results, which have been derived in the time domain. The paper provides a simple algorithm that quickly and accurately...