We study the nature of firm pay dynamics using matched employer-employee and firm financials data from Sweden. To this end, we propose and estimate a statistical model that extends the seminal framework by Abowd, Kramarz, and Margolis (1999b) to account for idiosyncratically time-varying firm...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz and Margolis (1999) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employer-employee data for Sweden from...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz and Margolis (1999) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employer-employee data for Sweden from...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz, and Margolis (1999a) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employeremployee data for Sweden from...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz and Margolis (1999) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employer-employee data for Sweden from...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz, and Margolis (1999a) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employeremployee data for Sweden from...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...