Why Do Some Countries Produce So Much More Output Per Worker Than Others? | GERMAN 0270, Papers of German Philology

Material Type: Paper; Class: LITERARY THEORY; Subject: German; University: University of California - Los Angeles; Term: Unknown 1994;

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Outline Y/L Accounting Social Infrastructure Conclusions
Hall & Jones, 1999
”Why Do Some Countries Produce So Much
More Output Per Worker Than Others?”
David Lagakos
UCLA
December 17, 2006
David Lagakos UCLA Hall & Jones, 1999 ”Why Do Some Countries Produce So Much More Output Per Worker Than Others?”
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Hall & Jones, 1999

”Why Do Some Countries Produce So Much

More Output Per Worker Than Others?”

David Lagakos

UCLA

December 17, 2006

Outline of Paper

I Cross-Country output per worker (Y/L) accounting

I Human capital per worker

I Physical capital per worker

I TFP

I Empirical explanation of Y/L differences

I Hypothesis: ”Social infrastructure” is the fundamental cause of Y/L

level

I Empirical test of hypothesis using instrumental variables

Output Per Worker

I Output per worker yi ≡ Yi/Li

yi =

Ki

Yi

hiAi

where hi ≡ Hi/Li is human capital per worker

Data Construction

I Yi, Li, investment - Penn World Tables

I Ki - investment data & perpetual inventory method

I φ′(Ei) taken from micro studies (Psacharopoulos, 1994)

I 1-4 yrs of education: 13.4% annual return

I 5-8 yrs: 10.1%

I 9+ yrs: 6.8%

I Ai - residual

Y/L and TFP

What is ”Social Infrastructure?”

I Institutions and Government that

I Encourages productive activity

I Discourages diversion of resources

I Discourages rent-seeking activities

I Protects property rights

I Background - Kreuger (1974), Olson (1965,1982), Baumol (1990),

North (1990), et al

Y/L and Social Infrastructure

Hypothesized Structural Model

I Social Infrastructure

Si = γ + δ log Yi/Li + Xiθ + ηi

where Si is social infrastructure, Xi are included exogenous

variables, ηi is an error term.

I Output per Worker

log Yi/Li = α + βSi + ≤i

where ≤i is an error term.

I Note that we observe S˜i = Si + νi b/c of measurement error

Instrumental Variable Regression Results

Reduced-Form Regressions

Explanatory Power of Variation in Social Infrastructure

Robustness Analysis

Critique

I Instruments do not seem valid

I Hard to believe that climate played substantial role in colonization

decisions of settlers

I Extent to which Spanish etc is spoken today is randomly assigned to

countries?

I Don’t see how this constitutes exogenous variation

I Specifically, the first-stage regression seems invalid

I Can’t see any theoretical justification for a separate ’English’

instrument

I Skeptical that causation has been sorted out here

I Sympathetic with authors that deficient institutions can keep Y/L

levels low