Trade liberalizations have been shown to improve domestic firms' performance through the new varieties of imported intermediate inputs. This paper uses a unique, representative sample of Bangladeshi garment firms to highlight that local intermediate inputs may also enhance domestic firms'...

This paper provides a new heterogeneous firm model for trade where firms differ in their productivity and experience different market demand shocks. The model incorporates variations in trade policy, trade preferences, and the rules of origin needed to obtain them, to reflect real world...

This paper looks at the predictions of a standard heterogeneous firm model regarding the exports of firms across markets in response to a particular trade policy quot;experimentquot; and compares these predictions to the data. A unique feature of our data is that it has information on the...

Trade liberalizations have been shown to improve domestic firms' performance through the new varieties of imported intermediate inputs. This paper uses a unique, representative sample of Bangladeshi garment firms to highlight that local intermediate inputs may also enhance domestic firms'...

Trade liberalizations have been shown to improve domestic firms' performance through the new varieties of imported intermediate inputs. This paper uses a unique, representative sample of Bangladeshi garment firms to highlight that local intermediate inputs may also enhance domestic firms'...

This paper studies foreign direct investment spillovers on the gender-related labour market practice of domestic firms, based on a unique firm-to-firm data set of Bangladesh’s textiles and garment sectors. The paper looks at the female employment of domestic firms that are directly and...

This paper provides new testable predictions of heterogeneous firm (HF) models for trade. Variations in trade policy, trade preferences, and the rules of origin (ROOs) needed to obtain them are incorporated into the model and some analytical means of dealing with the resulting asymmetries are...